I: pbuilder: network access will be disabled during build
I: Current time: Thu Jun 24 02:08:58 -12 2021
I: pbuilder-time-stamp: 1624543738
I: Building the build Environment
I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz]
I: copying local configuration
I: mounting /proc filesystem
I: mounting /sys filesystem
I: creating /{dev,run}/shm
I: mounting /dev/pts filesystem
I: redirecting /dev/ptmx to /dev/pts/ptmx
I: policy-rc.d already exists
I: using eatmydata during job
I: Copying source file
I: copying [caffe_1.0.0+git20180821.99bd997-8.dsc]
I: copying [./caffe_1.0.0+git20180821.99bd997.orig.tar.gz]
I: copying [./caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz]
I: Extracting source
gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/tmp/dpkg-verify-sig.c2EpK_tE/trustedkeys.kbx': General error
gpgv: Signature made Fri Nov 20 19:51:48 2020 -12
gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A
gpgv: issuer "lumin@debian.org"
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./caffe_1.0.0+git20180821.99bd997-8.dsc
dpkg-source: info: extracting caffe in caffe-1.0.0+git20180821.99bd997
dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997.orig.tar.gz
dpkg-source: info: unpacking caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz
dpkg-source: info: using patch list from debian/patches/series
dpkg-source: info: applying cmake-using-basic-blas
dpkg-source: info: applying cmake-fix-python-module-installdir
dpkg-source: info: applying fix-more-float-comparison-precision-issue2
dpkg-source: info: applying cmake-link-correct-python-lib.patch
dpkg-source: info: applying 6693.diff
dpkg-source: info: applying pyrequire-no-leveldb.patch
I: using fakeroot in build.
I: Installing the build-deps
I: user script /srv/workspace/pbuilder/18462/tmp/hooks/D02_print_environment starting
I: set
BUILDDIR='/build'
BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other'
BUILDUSERNAME='pbuilder1'
BUILD_ARCH='i386'
DEBIAN_FRONTEND='noninteractive'
DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=10'
DISTRIBUTION=''
HOME='/root'
HOST_ARCH='i386'
IFS='
'
INVOCATION_ID='baee132feb2440b2b26d64efdf8858b2'
LANG='C'
LANGUAGE='en_US:en'
LC_ALL='C'
LD_LIBRARY_PATH='/usr/lib/libeatmydata'
LD_PRELOAD='libeatmydata.so'
MAIL='/var/mail/root'
OPTIND='1'
PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games'
PBCURRENTCOMMANDLINEOPERATION='build'
PBUILDER_OPERATION='build'
PBUILDER_PKGDATADIR='/usr/share/pbuilder'
PBUILDER_PKGLIBDIR='/usr/lib/pbuilder'
PBUILDER_SYSCONFDIR='/etc'
PPID='18462'
PS1='# '
PS2='> '
PS4='+ '
PWD='/'
SHELL='/bin/bash'
SHLVL='2'
SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.imoUSf9adT/pbuilderrc_j3xU --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.imoUSf9adT/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-8.dsc'
SUDO_GID='112'
SUDO_UID='107'
SUDO_USER='jenkins'
TERM='unknown'
TZ='/usr/share/zoneinfo/Etc/GMT+12'
USER='root'
_='/usr/bin/systemd-run'
http_proxy='http://78.137.99.97:3128'
I: uname -a
Linux ionos12-i386 4.19.0-17-686-pae #1 SMP Debian 4.19.194-1 (2021-06-10) i686 GNU/Linux
I: ls -l /bin
total 5792
-rwxr-xr-x 1 root root 1367848 Jun 21 14:25 bash
-rwxr-xr-x 3 root root 38280 Jul 20 2020 bunzip2
-rwxr-xr-x 3 root root 38280 Jul 20 2020 bzcat
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzcmp -> bzdiff
-rwxr-xr-x 1 root root 2225 Jul 20 2020 bzdiff
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzegrep -> bzgrep
-rwxr-xr-x 1 root root 4877 Sep 4 2019 bzexe
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzfgrep -> bzgrep
-rwxr-xr-x 1 root root 3775 Jul 20 2020 bzgrep
-rwxr-xr-x 3 root root 38280 Jul 20 2020 bzip2
-rwxr-xr-x 1 root root 17768 Jul 20 2020 bzip2recover
lrwxrwxrwx 1 root root 6 Jul 20 2020 bzless -> bzmore
-rwxr-xr-x 1 root root 1297 Jul 20 2020 bzmore
-rwxr-xr-x 1 root root 38824 Sep 22 2020 cat
-rwxr-xr-x 1 root root 71624 Sep 22 2020 chgrp
-rwxr-xr-x 1 root root 67528 Sep 22 2020 chmod
-rwxr-xr-x 1 root root 75752 Sep 22 2020 chown
-rwxr-xr-x 1 root root 157960 Sep 22 2020 cp
-rwxr-xr-x 1 root root 128724 Dec 10 2020 dash
-rwxr-xr-x 1 root root 124904 Sep 22 2020 date
-rwxr-xr-x 1 root root 92172 Sep 22 2020 dd
-rwxr-xr-x 1 root root 100752 Sep 22 2020 df
-rwxr-xr-x 1 root root 153964 Sep 22 2020 dir
-rwxr-xr-x 1 root root 83644 Feb 7 02:38 dmesg
lrwxrwxrwx 1 root root 8 Nov 6 2019 dnsdomainname -> hostname
lrwxrwxrwx 1 root root 8 Nov 6 2019 domainname -> hostname
-rwxr-xr-x 1 root root 34664 Sep 22 2020 echo
-rwxr-xr-x 1 root root 28 Nov 9 2020 egrep
-rwxr-xr-x 1 root root 34664 Sep 22 2020 false
-rwxr-xr-x 1 root root 28 Nov 9 2020 fgrep
-rwxr-xr-x 1 root root 71928 Feb 7 02:38 findmnt
-rwsr-xr-x 1 root root 30112 Feb 26 04:12 fusermount
-rwxr-xr-x 1 root root 210488 Nov 9 2020 grep
-rwxr-xr-x 2 root root 2346 Mar 2 11:30 gunzip
-rwxr-xr-x 1 root root 6376 Mar 2 11:30 gzexe
-rwxr-xr-x 1 root root 100952 Mar 2 11:30 gzip
-rwxr-xr-x 1 root root 21916 Nov 6 2019 hostname
-rwxr-xr-x 1 root root 83980 Sep 22 2020 ln
-rwxr-xr-x 1 root root 55572 Feb 7 2020 login
-rwxr-xr-x 1 root root 153964 Sep 22 2020 ls
-rwxr-xr-x 1 root root 153124 Feb 7 02:38 lsblk
-rwxr-xr-x 1 root root 96328 Sep 22 2020 mkdir
-rwxr-xr-x 1 root root 79912 Sep 22 2020 mknod
-rwxr-xr-x 1 root root 47048 Sep 22 2020 mktemp
-rwxr-xr-x 1 root root 58920 Feb 7 02:38 more
-rwsr-xr-x 1 root root 50720 Feb 7 02:38 mount
-rwxr-xr-x 1 root root 13856 Feb 7 02:38 mountpoint
-rwxr-xr-x 1 root root 157996 Sep 22 2020 mv
lrwxrwxrwx 1 root root 8 Nov 6 2019 nisdomainname -> hostname
lrwxrwxrwx 1 root root 14 Apr 18 03:38 pidof -> /sbin/killall5
-rwxr-xr-x 1 root root 38824 Sep 22 2020 pwd
lrwxrwxrwx 1 root root 4 Jun 21 14:25 rbash -> bash
-rwxr-xr-x 1 root root 46984 Sep 22 2020 readlink
-rwxr-xr-x 1 root root 75720 Sep 22 2020 rm
-rwxr-xr-x 1 root root 46984 Sep 22 2020 rmdir
-rwxr-xr-x 1 root root 22292 Sep 27 2020 run-parts
-rwxr-xr-x 1 root root 125036 Dec 22 2018 sed
lrwxrwxrwx 1 root root 4 Jun 23 21:28 sh -> dash
-rwxr-xr-x 1 root root 34696 Sep 22 2020 sleep
-rwxr-xr-x 1 root root 83880 Sep 22 2020 stty
-rwsr-xr-x 1 root root 79396 Feb 7 02:38 su
-rwxr-xr-x 1 root root 34696 Sep 22 2020 sync
-rwxr-xr-x 1 root root 602584 Feb 16 21:55 tar
-rwxr-xr-x 1 root root 13860 Sep 27 2020 tempfile
-rwxr-xr-x 1 root root 108520 Sep 22 2020 touch
-rwxr-xr-x 1 root root 34664 Sep 22 2020 true
-rwxr-xr-x 1 root root 17768 Feb 26 04:12 ulockmgr_server
-rwsr-xr-x 1 root root 30236 Feb 7 02:38 umount
-rwxr-xr-x 1 root root 34664 Sep 22 2020 uname
-rwxr-xr-x 2 root root 2346 Mar 2 11:30 uncompress
-rwxr-xr-x 1 root root 153964 Sep 22 2020 vdir
-rwxr-xr-x 1 root root 63024 Feb 7 02:38 wdctl
lrwxrwxrwx 1 root root 8 Nov 6 2019 ypdomainname -> hostname
-rwxr-xr-x 1 root root 1984 Mar 2 11:30 zcat
-rwxr-xr-x 1 root root 1678 Mar 2 11:30 zcmp
-rwxr-xr-x 1 root root 5880 Mar 2 11:30 zdiff
-rwxr-xr-x 1 root root 29 Mar 2 11:30 zegrep
-rwxr-xr-x 1 root root 29 Mar 2 11:30 zfgrep
-rwxr-xr-x 1 root root 2081 Mar 2 11:30 zforce
-rwxr-xr-x 1 root root 7585 Mar 2 11:30 zgrep
-rwxr-xr-x 1 root root 2206 Mar 2 11:30 zless
-rwxr-xr-x 1 root root 1842 Mar 2 11:30 zmore
-rwxr-xr-x 1 root root 4553 Mar 2 11:30 znew
I: user script /srv/workspace/pbuilder/18462/tmp/hooks/D02_print_environment finished
-> Attempting to satisfy build-dependencies
-> Creating pbuilder-satisfydepends-dummy package
Package: pbuilder-satisfydepends-dummy
Version: 0.invalid.0
Architecture: i386
Maintainer: Debian Pbuilder Team <pbuilder-maint@lists.alioth.debian.org>
Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder
This package was created automatically by pbuilder to satisfy the
build-dependencies of the package being currently built.
Depends: bc, cmake, bash-completion, debhelper-compat (= 13), dh-python, libboost-dev, libboost-filesystem-dev, libboost-system-dev, libboost-thread-dev, libboost-python-dev, libgflags-dev, libgoogle-glog-dev, libhdf5-dev, libleveldb-dev, liblmdb-dev, libblas-dev | libblas.so, libopencv-dev (>= 2.4), libprotobuf-dev, libprotoc-dev, libsnappy-dev, protobuf-compiler, python3-dev, python3-numpy, cython3, ipython3, python3, python3-distutils, python3-skimage, python3-protobuf, python3-dateutil, python3-gflags, python3-h5py, python3-matplotlib, python3-networkx, python3-nose, python3-pandas, python3-pil, python3-pydotplus, python3-scipy, python3-six, python3-yaml, doxygen, doxygen-latex
dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'.
Selecting previously unselected package pbuilder-satisfydepends-dummy.
(Reading database ... 19675 files and directories currently installed.)
Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ...
Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ...
dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested:
pbuilder-satisfydepends-dummy depends on bc; however:
Package bc is not installed.
pbuilder-satisfydepends-dummy depends on cmake; however:
Package cmake is not installed.
pbuilder-satisfydepends-dummy depends on bash-completion; however:
Package bash-completion is not installed.
pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however:
Package debhelper-compat is not installed.
pbuilder-satisfydepends-dummy depends on dh-python; however:
Package dh-python is not installed.
pbuilder-satisfydepends-dummy depends on libboost-dev; however:
Package libboost-dev is not installed.
pbuilder-satisfydepends-dummy depends on libboost-filesystem-dev; however:
Package libboost-filesystem-dev is not installed.
pbuilder-satisfydepends-dummy depends on libboost-system-dev; however:
Package libboost-system-dev is not installed.
pbuilder-satisfydepends-dummy depends on libboost-thread-dev; however:
Package libboost-thread-dev is not installed.
pbuilder-satisfydepends-dummy depends on libboost-python-dev; however:
Package libboost-python-dev is not installed.
pbuilder-satisfydepends-dummy depends on libgflags-dev; however:
Package libgflags-dev is not installed.
pbuilder-satisfydepends-dummy depends on libgoogle-glog-dev; however:
Package libgoogle-glog-dev is not installed.
pbuilder-satisfydepends-dummy depends on libhdf5-dev; however:
Package libhdf5-dev is not installed.
pbuilder-satisfydepends-dummy depends on libleveldb-dev; however:
Package libleveldb-dev is not installed.
pbuilder-satisfydepends-dummy depends on liblmdb-dev; however:
Package liblmdb-dev is not installed.
pbuilder-satisfydepends-dummy depends on libblas-dev | libblas.so; however:
Package libblas-dev is not installed.
Package libblas.so is not installed.
pbuilder-satisfydepends-dummy depends on libopencv-dev (>= 2.4); however:
Package libopencv-dev is not installed.
pbuilder-satisfydepends-dummy depends on libprotobuf-dev; however:
Package libprotobuf-dev is not installed.
pbuilder-satisfydepends-dummy depends on libprotoc-dev; however:
Package libprotoc-dev is not installed.
pbuilder-satisfydepends-dummy depends on libsnappy-dev; however:
Package libsnappy-dev is not installed.
pbuilder-satisfydepends-dummy depends on protobuf-compiler; however:
Package protobuf-compiler is not installed.
pbuilder-satisfydepends-dummy depends on python3-dev; however:
Package python3-dev is not installed.
pbuilder-satisfydepends-dummy depends on python3-numpy; however:
Package python3-numpy is not installed.
pbuilder-satisfydepends-dummy depends on cython3; however:
Package cython3 is not installed.
pbuilder-satisfydepends-dummy depends on ipython3; however:
Package ipython3 is not installed.
pbuilder-satisfydepends-dummy depends on python3; however:
Package python3 is not installed.
pbuilder-satisfydepends-dummy depends on python3-distutils; however:
Package python3-distutils is not installed.
pbuilder-satisfydepends-dummy depends on python3-skimage; however:
Package python3-skimage is not installed.
pbuilder-satisfydepends-dummy depends on python3-protobuf; however:
Package python3-protobuf is not installed.
pbuilder-satisfydepends-dummy depends on python3-dateutil; however:
Package python3-dateutil is not installed.
pbuilder-satisfydepends-dummy depends on python3-gflags; however:
Package python3-gflags is not installed.
pbuilder-satisfydepends-dummy depends on python3-h5py; however:
Package python3-h5py is not installed.
pbuilder-satisfydepends-dummy depends on python3-matplotlib; however:
Package python3-matplotlib is not installed.
pbuilder-satisfydepends-dummy depends on python3-networkx; however:
Package python3-networkx is not installed.
pbuilder-satisfydepends-dummy depends on python3-nose; however:
Package python3-nose is not installed.
pbuilder-satisfydepends-dummy depends on python3-pandas; however:
Package python3-pandas is not installed.
pbuilder-satisfydepends-dummy depends on python3-pil; however:
Package python3-pil is not installed.
pbuilder-satisfydepends-dummy depends on python3-pydotplus; however:
Package python3-pydotplus is not installed.
pbuilder-satisfydepends-dummy depends on python3-scipy; however:
Package python3-scipy is not installed.
pbuilder-satisfydepends-dummy depends on python3-six; however:
Package python3-six is not installed.
pbuilder-satisfydepends-dummy depends on python3-yaml; however:
Package python3-yaml is not installed.
pbuilder-satisfydepends-dummy depends on doxygen; however:
Package doxygen is not installed.
pbuilder-satisfydepends-dummy depends on doxygen-latex; however:
Package doxygen-latex is not installed.
Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ...
Reading package lists...
Building dependency tree...
Reading state information...
Initializing package states...
Writing extended state information...
Building tag database...
pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0)
pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0)
The following NEW packages will be installed:
adwaita-icon-theme{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bash-completion{a} bc{a} bsdextrautils{a} cm-super-minimal{a} cmake{a} cmake-data{a} cython3{a} dbus{a} dbus-user-session{a} dconf-gsettings-backend{a} dconf-service{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dmsetup{a} doxygen{a} doxygen-latex{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-lmodern{a} fonts-lyx{a} fonts-urw-base35{a} gdal-data{a} gettext{a} gettext-base{a} ghostscript{a} glib-networking{a} glib-networking-common{a} glib-networking-services{a} graphviz{a} groff-base{a} gsettings-desktop-schemas{a} gtk-update-icon-cache{a} hdf5-helpers{a} hicolor-icon-theme{a} intltool-debian{a} ipython3{a} iso-codes{a} libaec-dev{a} libaec0{a} libaom0{a} libapache-pom-java{a} libapparmor1{a} libarchive-zip-perl{a} libarchive13{a} libargon2-1{a} libarmadillo10{a} libarpack2{a} libatk-bridge2.0-0{a} libatk1.0-0{a} libatk1.0-data{a} libatspi2.0-0{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavcodec-dev{a} libavcodec58{a} libavformat-dev{a} libavformat58{a} libavutil-dev{a} libavutil56{a} libblas-dev{a} libblas3{a} libbluray2{a} libboost-atomic1.74-dev{a} libboost-atomic1.74.0{a} libboost-chrono1.74-dev{a} libboost-chrono1.74.0{a} libboost-date-time1.74-dev{a} libboost-date-time1.74.0{a} libboost-dev{a} libboost-filesystem-dev{a} libboost-filesystem1.74-dev{a} libboost-filesystem1.74.0{a} libboost-python-dev{a} libboost-python1.74-dev{a} libboost-python1.74.0{a} libboost-serialization1.74-dev{a} libboost-serialization1.74.0{a} libboost-system-dev{a} libboost-system1.74-dev{a} libboost-system1.74.0{a} libboost-thread-dev{a} libboost-thread1.74-dev{a} libboost-thread1.74.0{a} libboost1.74-dev{a} libbrotli1{a} libbsd0{a} libcairo-gobject2{a} libcairo2{a} libcap2{a} libcap2-bin{a} libcdt5{a} libcfitsio9{a} libcgraph6{a} libcharls2{a} libchromaprint1{a} libclang-cpp11{a} libclang1-11{a} libcodec2-0.9{a} libcolord2{a} libcommons-logging-java{a} libcommons-parent-java{a} libcryptsetup12{a} libcups2{a} libcurl3-gnutls{a} libcurl4{a} libdap27{a} libdapclient6v5{a} libdatrie1{a} libdav1d4{a} libdbus-1-3{a} libdc1394-25{a} libdc1394-dev{a} libdconf1{a} libde265-0{a} libdebhelper-perl{a} libdeflate-dev{a} libdeflate0{a} libdevmapper1.02.1{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-nouveau2{a} libdrm-radeon1{a} libdrm2{a} libdw1{a} libedit2{a} libelf1{a} libepoxy0{a} libepsilon1{a} libexif-dev{a} libexif12{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontbox-java{a} libfontconfig1{a} libfontenc1{a} libfreetype6{a} libfreexl1{a} libfribidi0{a} libfyba0{a} libgd3{a} libgdal28{a} libgdcm-dev{a} libgdcm3.0{a} libgdk-pixbuf-2.0-0{a} libgdk-pixbuf2.0-common{a} libgeos-3.9.0{a} libgeos-c1v5{a} libgeotiff5{a} libgflags-dev{a} libgflags2.2{a} libgfortran5{a} libgif7{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglew2.1{a} libglib2.0-0{a} libglvnd0{a} libglx-mesa0{a} libglx0{a} libgme0{a} libgoogle-glog-dev{a} libgoogle-glog0v5{a} libgphoto2-6{a} libgphoto2-dev{a} libgphoto2-port12{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgsm1{a} libgstreamer-plugins-base1.0-0{a} libgstreamer1.0-0{a} libgtk-3-0{a} libgtk-3-common{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz0b{a} libhdf4-0-alt{a} libhdf5-103-1{a} libhdf5-cpp-103-1{a} libhdf5-dev{a} libhdf5-fortran-102{a} libhdf5-hl-100{a} libhdf5-hl-cpp-100{a} libhdf5-hl-fortran-100{a} libheif1{a} libice6{a} libicu67{a} libidn11{a} libijs-0.35{a} libilmbase-dev{a} libilmbase25{a} libimagequant0{a} libip4tc2{a} libjbig-dev{a} libjbig0{a} libjbig2dec0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-c5{a} libjson-glib-1.0-0{a} libjson-glib-1.0-common{a} libjsoncpp24{a} libkmlbase1{a} libkmldom1{a} libkmlengine1{a} libkmod2{a} libkpathsea6{a} liblab-gamut1{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} libldap-2.4-2{a} liblept5{a} libleveldb-dev{a} libleveldb1d{a} libllvm11{a} liblmdb-dev{a} liblmdb0{a} libltdl7{a} liblzf1{a} liblzma-dev{a} libmagic-mgc{a} libmagic1{a} libmariadb3{a} libmd0{a} libmime-charset-perl{a} libminizip1{a} libmp3lame0{a} libmpdec3{a} libmpg123-0{a} libncurses6{a} libnetcdf18{a} libnghttp2-14{a} libnorm1{a} libnspr4{a} libnss3{a} libnuma1{a} libodbc1{a} libogdi4.1{a} libogg0{a} libopencv-calib3d-dev{a} libopencv-calib3d4.5{a} libopencv-contrib-dev{a} libopencv-contrib4.5{a} libopencv-core-dev{a} libopencv-core4.5{a} libopencv-dev{a} libopencv-dnn-dev{a} libopencv-dnn4.5{a} libopencv-features2d-dev{a} libopencv-features2d4.5{a} libopencv-flann-dev{a} libopencv-flann4.5{a} libopencv-highgui-dev{a} libopencv-highgui4.5{a} libopencv-imgcodecs-dev{a} libopencv-imgcodecs4.5{a} libopencv-imgproc-dev{a} libopencv-imgproc4.5{a} libopencv-ml-dev{a} libopencv-ml4.5{a} libopencv-objdetect-dev{a} libopencv-objdetect4.5{a} libopencv-photo-dev{a} libopencv-photo4.5{a} libopencv-shape-dev{a} libopencv-shape4.5{a} libopencv-stitching-dev{a} libopencv-stitching4.5{a} libopencv-superres-dev{a} libopencv-superres4.5{a} libopencv-video-dev{a} libopencv-video4.5{a} libopencv-videoio-dev{a} libopencv-videoio4.5{a} libopencv-videostab-dev{a} libopencv-videostab4.5{a} libopencv-viz-dev{a} libopencv-viz4.5{a} libopenexr-dev{a} libopenexr25{a} libopengl0{a} libopenjp2-7{a} libopenmpt0{a} libopus0{a} liborc-0.4-0{a} libpam-systemd{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpciaccess0{a} libpdfbox-java{a} libpgm-5.3-0{a} libpipeline1{a} libpixman-1-0{a} libpng-dev{a} libpng16-16{a} libpoppler102{a} libpq5{a} libprocps8{a} libproj19{a} libprotobuf-dev{a} libprotobuf-lite23{a} libprotobuf23{a} libprotoc-dev{a} libprotoc23{a} libproxy1v5{a} libpsl5{a} libptexenc1{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.9{a} libpython3.9-dev{a} libpython3.9-minimal{a} libpython3.9-stdlib{a} libqhull8.0{a} librabbitmq4{a} libraw1394-11{a} libraw1394-dev{a} libreadline8{a} librest-0.7-0{a} librhash0{a} librsvg2-2{a} librtmp1{a} librttopo1{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libshine3{a} libsigsegv2{a} libsm6{a} libsnappy-dev{a} libsnappy1v5{a} libsocket++1{a} libsodium23{a} libsombok3{a} libsoup-gnome2.4-1{a} libsoup2.4-1{a} libsoxr0{a} libspatialite7{a} libspeex1{a} libsrt1.4-gnutls{a} libssh-gcrypt-4{a} libssh2-1{a} libsub-override-perl{a} libsuperlu5{a} libswresample-dev{a} libswresample3{a} libswscale-dev{a} libswscale5{a} libsynctex2{a} libsz2{a} libtbb-dev{a} libtbb2{a} libtcl8.6{a} libteckit0{a} libtesseract4{a} libtexlua53{a} libtexluajit2{a} libthai-data{a} libthai0{a} libtheora0{a} libtiff-dev{a} libtiff5{a} libtiffxx5{a} libtk8.6{a} libtool{a} libtwolame0{a} libuchardet0{a} libudfread0{a} libunicode-linebreak-perl{a} libunwind-dev{a} libunwind8{a} liburiparser1{a} libusb-1.0-0{a} libuv1{a} libva-drm2{a} libva-x11-2{a} libva2{a} libvdpau1{a} libvorbis0a{a} libvorbisenc2{a} libvorbisfile3{a} libvpx6{a} libvtk9{a} libvulkan1{a} libwavpack1{a} libwayland-client0{a} libwayland-cursor0{a} libwayland-egl1{a} libwebp6{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libx11-xcb1{a} libx264-160{a} libx265-192{a} libxau6{a} libxaw7{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-present0{a} libxcb-render0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-xfixes0{a} libxcb1{a} libxcomposite1{a} libxcursor1{a} libxdamage1{a} libxdmcp6{a} libxerces-c3.2{a} libxext6{a} libxfixes3{a} libxft2{a} libxi6{a} libxinerama1{a} libxkbcommon0{a} libxml2{a} libxmu6{a} libxpm4{a} libxrandr2{a} libxrender1{a} libxshmfence1{a} libxss1{a} libxt6{a} libxvidcore4{a} libxxf86vm1{a} libyaml-0-2{a} libz3-4{a} libzmq5{a} libzvbi-common{a} libzvbi0{a} libzzip-0-13{a} lmodern{a} m4{a} mailcap{a} man-db{a} mariadb-common{a} media-types{a} mime-support{a} mysql-common{a} ocl-icd-libopencl1{a} odbcinst{a} odbcinst1debian2{a} pkg-config{a} po-debconf{a} poppler-data{a} preview-latex-style{a} procps{a} proj-data{a} protobuf-compiler{a} python-matplotlib-data{a} python3{a} python3-backcall{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-dev{a} python3-distutils{a} python3-gflags{a} python3-h5py{a} python3-h5py-serial{a} python3-imageio{a} python3-ipython{a} python3-ipython-genutils{a} python3-jedi{a} python3-kiwisolver{a} python3-lib2to3{a} python3-matplotlib{a} python3-minimal{a} python3-networkx{a} python3-nose{a} python3-numpy{a} python3-pandas{a} python3-pandas-lib{a} python3-parso{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-protobuf{a} python3-ptyprocess{a} python3-pydotplus{a} python3-pygments{a} python3-pyparsing{a} python3-pywt{a} python3-scipy{a} python3-six{a} python3-skimage{a} python3-skimage-lib{a} python3-tifffile{a} python3-traitlets{a} python3-tz{a} python3-wcwidth{a} python3-yaml{a} python3.9{a} python3.9-dev{a} python3.9-minimal{a} readline-common{a} sensible-utils{a} shared-mime-info{a} systemd{a} systemd-sysv{a} systemd-timesyncd{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-extra-utils{a} texlive-font-utils{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-luatex{a} texlive-pictures{a} texlive-plain-generic{a} ttf-bitstream-vera{a} ucf{a} x11-common{a} xdg-utils{a} xfonts-encodings{a} xfonts-utils{a} xkb-data{a} zlib1g-dev{a}
The following packages are RECOMMENDED but will NOT be installed:
at-spi2-core ca-certificates curl dvisvgm fonts-droid-fallback fonts-liberation gstreamer1.0-plugins-base i965-va-driver intel-media-va-driver javascript-common libaacs0 libarchive-cpio-perl libexif-doc libfile-homedir-perl libfile-mimeinfo-perl libgdk-pixbuf2.0-bin libglib2.0-data libgphoto2-l10n libgpm2 libgtk-3-bin libgts-bin libldap-common liblog-log4perl-perl libltdl-dev libmail-sendmail-perl libnet-dbus-perl libnss-systemd libopencv4.5-java libpam-cap libpng-tools libraw1394-tools librsvg2-common libsasl2-modules libvdpau-va-gl1 libx11-protocol-perl libyaml-tiny-perl lmdb-doc lynx mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers opencv-data proj-bin ps2eps psmisc publicsuffix python3-bottleneck python3-bs4 python3-dask python3-gdal python3-html5lib python3-jinja2 python3-lxml python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pydot python3-pygraphviz python3-pytest python3-tables python3-tk python3-xlwt ruby tex-gyre tipa tk va-driver-all vdpau-driver-all wget x11-utils x11-xserver-utils xdg-user-dirs
0 packages upgraded, 555 newly installed, 0 to remove and 0 not upgraded.
Need to get 567 MB of archives. After unpacking 1991 MB will be used.
Writing extended state information...
Get: 1 http://deb.debian.org/debian bullseye/main i386 libapparmor1 i386 2.13.6-10 [101 kB]
Get: 2 http://deb.debian.org/debian bullseye/main i386 libcap2 i386 1:2.44-1 [24.5 kB]
Get: 3 http://deb.debian.org/debian bullseye/main i386 libargon2-1 i386 0~20171227-0.2 [24.1 kB]
Get: 4 http://deb.debian.org/debian bullseye/main i386 dmsetup i386 2:1.02.175-2.1 [87.8 kB]
Get: 5 http://deb.debian.org/debian bullseye/main i386 libdevmapper1.02.1 i386 2:1.02.175-2.1 [141 kB]
Get: 6 http://deb.debian.org/debian bullseye/main i386 libjson-c5 i386 0.15-2 [45.2 kB]
Get: 7 http://deb.debian.org/debian bullseye/main i386 libcryptsetup12 i386 2:2.3.5-1 [269 kB]
Get: 8 http://deb.debian.org/debian bullseye/main i386 libip4tc2 i386 1.8.7-1 [35.4 kB]
Get: 9 http://deb.debian.org/debian bullseye/main i386 libkmod2 i386 28-1 [61.0 kB]
Get: 10 http://deb.debian.org/debian bullseye/main i386 systemd-timesyncd i386 247.3-5 [131 kB]
Get: 11 http://deb.debian.org/debian bullseye/main i386 systemd i386 247.3-5 [4619 kB]
Get: 12 http://deb.debian.org/debian bullseye/main i386 systemd-sysv i386 247.3-5 [113 kB]
Get: 13 http://deb.debian.org/debian bullseye/main i386 libdbus-1-3 i386 1.12.20-2 [232 kB]
Get: 14 http://deb.debian.org/debian bullseye/main i386 libexpat1 i386 2.2.10-2 [98.8 kB]
Get: 15 http://deb.debian.org/debian bullseye/main i386 dbus i386 1.12.20-2 [250 kB]
Get: 16 http://deb.debian.org/debian bullseye/main i386 bsdextrautils i386 2.36.1-7 [148 kB]
Get: 17 http://deb.debian.org/debian bullseye/main i386 libuchardet0 i386 0.0.7-1 [67.9 kB]
Get: 18 http://deb.debian.org/debian bullseye/main i386 groff-base i386 1.22.4-6 [952 kB]
Get: 19 http://deb.debian.org/debian bullseye/main i386 libpipeline1 i386 1.5.3-1 [36.8 kB]
Get: 20 http://deb.debian.org/debian bullseye/main i386 man-db i386 2.9.4-2 [1367 kB]
Get: 21 http://deb.debian.org/debian bullseye/main i386 poppler-data all 0.4.10-1 [1602 kB]
Get: 22 http://deb.debian.org/debian bullseye/main i386 libpython3.9-minimal i386 3.9.2-1 [801 kB]
Get: 23 http://deb.debian.org/debian bullseye/main i386 python3.9-minimal i386 3.9.2-1 [1956 kB]
Get: 24 http://deb.debian.org/debian bullseye/main i386 python3-minimal i386 3.9.2-3 [38.2 kB]
Get: 25 http://deb.debian.org/debian bullseye/main i386 media-types all 4.0.0 [30.3 kB]
Get: 26 http://deb.debian.org/debian bullseye/main i386 mailcap all 3.69 [31.7 kB]
Get: 27 http://deb.debian.org/debian bullseye/main i386 mime-support all 3.66 [10.9 kB]
Get: 28 http://deb.debian.org/debian bullseye/main i386 libmpdec3 i386 2.5.1-1 [91.9 kB]
Get: 29 http://deb.debian.org/debian bullseye/main i386 readline-common all 8.1-1 [73.7 kB]
Get: 30 http://deb.debian.org/debian bullseye/main i386 libreadline8 i386 8.1-1 [173 kB]
Get: 31 http://deb.debian.org/debian bullseye/main i386 libpython3.9-stdlib i386 3.9.2-1 [1703 kB]
Get: 32 http://deb.debian.org/debian bullseye/main i386 python3.9 i386 3.9.2-1 [466 kB]
Get: 33 http://deb.debian.org/debian bullseye/main i386 libpython3-stdlib i386 3.9.2-3 [21.4 kB]
Get: 34 http://deb.debian.org/debian bullseye/main i386 python3 i386 3.9.2-3 [37.9 kB]
Get: 35 http://deb.debian.org/debian bullseye/main i386 sensible-utils all 0.0.14 [14.8 kB]
Get: 36 http://deb.debian.org/debian bullseye/main i386 ucf all 3.0043 [74.0 kB]
Get: 37 http://deb.debian.org/debian bullseye/main i386 tex-common all 6.16 [53.7 kB]
Get: 38 http://deb.debian.org/debian bullseye/main i386 libncurses6 i386 6.2+20201114-2 [110 kB]
Get: 39 http://deb.debian.org/debian bullseye/main i386 libprocps8 i386 2:3.3.17-5 [64.2 kB]
Get: 40 http://deb.debian.org/debian bullseye/main i386 procps i386 2:3.3.17-5 [501 kB]
Get: 41 http://deb.debian.org/debian bullseye/main i386 bash-completion all 1:2.11-2 [234 kB]
Get: 42 http://deb.debian.org/debian bullseye/main i386 libmagic-mgc i386 1:5.39-3 [273 kB]
Get: 43 http://deb.debian.org/debian bullseye/main i386 libmagic1 i386 1:5.39-3 [133 kB]
Get: 44 http://deb.debian.org/debian bullseye/main i386 file i386 1:5.39-3 [69.0 kB]
Get: 45 http://deb.debian.org/debian bullseye/main i386 gettext-base i386 0.21-4 [176 kB]
Get: 46 http://deb.debian.org/debian bullseye/main i386 libpam-systemd i386 247.3-5 [290 kB]
Get: 47 http://deb.debian.org/debian bullseye/main i386 hicolor-icon-theme all 0.17-2 [11.4 kB]
Get: 48 http://deb.debian.org/debian bullseye/main i386 libgdk-pixbuf2.0-common all 2.42.2+dfsg-1 [320 kB]
Get: 49 http://deb.debian.org/debian bullseye/main i386 libglib2.0-0 i386 2.66.8-1 [1437 kB]
Get: 50 http://deb.debian.org/debian bullseye/main i386 libicu67 i386 67.1-6 [8776 kB]
Get: 51 http://deb.debian.org/debian bullseye/main i386 libxml2 i386 2.9.10+dfsg-6.7 [728 kB]
Get: 52 http://deb.debian.org/debian bullseye/main i386 shared-mime-info i386 2.0-1 [703 kB]
Get: 53 http://deb.debian.org/debian bullseye/main i386 libjpeg62-turbo i386 1:2.0.6-4 [160 kB]
Get: 54 http://deb.debian.org/debian bullseye/main i386 libpng16-16 i386 1.6.37-3 [303 kB]
Get: 55 http://deb.debian.org/debian bullseye/main i386 libdeflate0 i386 1.7-1 [48.4 kB]
Get: 56 http://deb.debian.org/debian bullseye/main i386 libjbig0 i386 2.1-3.1+b2 [31.5 kB]
Get: 57 http://deb.debian.org/debian bullseye/main i386 libwebp6 i386 0.6.1-2.1 [269 kB]
Get: 58 http://deb.debian.org/debian bullseye/main i386 libtiff5 i386 4.2.0-1 [305 kB]
Get: 59 http://deb.debian.org/debian bullseye/main i386 libgdk-pixbuf-2.0-0 i386 2.42.2+dfsg-1 [155 kB]
Get: 60 http://deb.debian.org/debian bullseye/main i386 gtk-update-icon-cache i386 3.24.24-4 [87.9 kB]
Get: 61 http://deb.debian.org/debian bullseye/main i386 adwaita-icon-theme all 3.38.0-1 [10.9 MB]
Get: 62 http://deb.debian.org/debian bullseye/main i386 libsigsegv2 i386 2.13-1 [35.1 kB]
Get: 63 http://deb.debian.org/debian bullseye/main i386 m4 i386 1.4.18-5 [206 kB]
Get: 64 http://deb.debian.org/debian bullseye/main i386 autoconf all 2.69-14 [313 kB]
Get: 65 http://deb.debian.org/debian bullseye/main i386 autotools-dev all 20180224.1+nmu1 [77.1 kB]
Get: 66 http://deb.debian.org/debian bullseye/main i386 automake all 1:1.16.3-2 [814 kB]
Get: 67 http://deb.debian.org/debian bullseye/main i386 autopoint all 0.21-4 [510 kB]
Get: 68 http://deb.debian.org/debian bullseye/main i386 bc i386 1.07.1-2+b2 [111 kB]
Get: 69 http://deb.debian.org/debian bullseye/main i386 libpaper1 i386 1.1.28+b1 [21.7 kB]
Get: 70 http://deb.debian.org/debian bullseye/main i386 libpaper-utils i386 1.1.28+b1 [18.6 kB]
Get: 71 http://deb.debian.org/debian bullseye/main i386 libkpathsea6 i386 2020.20200327.54578-7 [176 kB]
Get: 72 http://deb.debian.org/debian bullseye/main i386 libptexenc1 i386 2020.20200327.54578-7 [65.1 kB]
Get: 73 http://deb.debian.org/debian bullseye/main i386 libsynctex2 i386 2020.20200327.54578-7 [85.9 kB]
Get: 74 http://deb.debian.org/debian bullseye/main i386 libtexlua53 i386 2020.20200327.54578-7 [146 kB]
Get: 75 http://deb.debian.org/debian bullseye/main i386 libtexluajit2 i386 2020.20200327.54578-7 [284 kB]
Get: 76 http://deb.debian.org/debian bullseye/main i386 t1utils i386 1.41-4 [62.3 kB]
Get: 77 http://deb.debian.org/debian bullseye/main i386 libbrotli1 i386 1.0.9-2+b2 [286 kB]
Get: 78 http://deb.debian.org/debian bullseye/main i386 libfreetype6 i386 2.10.4+dfsg-1 [429 kB]
Get: 79 http://deb.debian.org/debian bullseye/main i386 fonts-dejavu-core all 2.37-2 [1069 kB]
Get: 80 http://deb.debian.org/debian bullseye/main i386 ttf-bitstream-vera all 1.10-8.1 [223 kB]
Get: 81 http://deb.debian.org/debian bullseye/main i386 fonts-urw-base35 all 20200910-1 [6367 kB]
Get: 82 http://deb.debian.org/debian bullseye/main i386 fontconfig-config all 2.13.1-4.2 [281 kB]
Get: 83 http://deb.debian.org/debian bullseye/main i386 libfontconfig1 i386 2.13.1-4.2 [358 kB]
Get: 84 http://deb.debian.org/debian bullseye/main i386 libpixman-1-0 i386 0.40.0-1 [545 kB]
Get: 85 http://deb.debian.org/debian bullseye/main i386 libxau6 i386 1:1.0.9-1 [20.0 kB]
Get: 86 http://deb.debian.org/debian bullseye/main i386 libmd0 i386 1.0.3-3 [28.9 kB]
Get: 87 http://deb.debian.org/debian bullseye/main i386 libbsd0 i386 0.11.3-1 [111 kB]
Get: 88 http://deb.debian.org/debian bullseye/main i386 libxdmcp6 i386 1:1.1.2-3 [26.7 kB]
Get: 89 http://deb.debian.org/debian bullseye/main i386 libxcb1 i386 1.14-3 [144 kB]
Get: 90 http://deb.debian.org/debian bullseye/main i386 libx11-data all 2:1.7.1-1 [310 kB]
Get: 91 http://deb.debian.org/debian bullseye/main i386 libx11-6 i386 2:1.7.1-1 [796 kB]
Get: 92 http://deb.debian.org/debian bullseye/main i386 libxcb-render0 i386 1.14-3 [112 kB]
Get: 93 http://deb.debian.org/debian bullseye/main i386 libxcb-shm0 i386 1.14-3 [102 kB]
Get: 94 http://deb.debian.org/debian bullseye/main i386 libxext6 i386 2:1.3.3-1.1 [55.2 kB]
Get: 95 http://deb.debian.org/debian bullseye/main i386 libxrender1 i386 1:0.9.10-1 [34.1 kB]
Get: 96 http://deb.debian.org/debian bullseye/main i386 libcairo2 i386 1.16.0-5 [746 kB]
Get: 97 http://deb.debian.org/debian bullseye/main i386 libgraphite2-3 i386 1.3.14-1 [84.0 kB]
Get: 98 http://deb.debian.org/debian bullseye/main i386 libharfbuzz0b i386 2.7.4-1 [1490 kB]
Get: 99 http://deb.debian.org/debian bullseye/main i386 libteckit0 i386 2.5.10+ds1-3 [277 kB]
Get: 100 http://deb.debian.org/debian bullseye/main i386 x11-common all 1:7.7+22 [252 kB]
Get: 101 http://deb.debian.org/debian bullseye/main i386 libice6 i386 2:1.0.10-1 [60.8 kB]
Get: 102 http://deb.debian.org/debian bullseye/main i386 libsm6 i386 2:1.2.3-1 [35.7 kB]
Get: 103 http://deb.debian.org/debian bullseye/main i386 libxt6 i386 1:1.2.0-1 [195 kB]
Get: 104 http://deb.debian.org/debian bullseye/main i386 libxmu6 i386 2:1.1.2-2+b3 [62.8 kB]
Get: 105 http://deb.debian.org/debian bullseye/main i386 libxpm4 i386 1:3.5.12-1 [50.9 kB]
Get: 106 http://deb.debian.org/debian bullseye/main i386 libxaw7 i386 2:1.0.13-1.1 [210 kB]
Get: 107 http://deb.debian.org/debian bullseye/main i386 libxi6 i386 2:1.7.10-1 [85.1 kB]
Get: 108 http://deb.debian.org/debian bullseye/main i386 libzzip-0-13 i386 0.13.62-3.3 [57.6 kB]
Get: 109 http://deb.debian.org/debian bullseye/main i386 texlive-binaries i386 2020.20200327.54578-7 [10.2 MB]
Get: 110 http://deb.debian.org/debian bullseye/main i386 xdg-utils all 1.1.3-4.1 [75.5 kB]
Get: 111 http://deb.debian.org/debian bullseye/main i386 texlive-base all 2020.20210202-3 [20.8 MB]
Get: 112 http://deb.debian.org/debian bullseye/main i386 fonts-lmodern all 2.004.5-6.1 [4540 kB]
Get: 113 http://deb.debian.org/debian bullseye/main i386 texlive-latex-base all 2020.20210202-3 [1120 kB]
Get: 114 http://deb.debian.org/debian bullseye/main i386 texlive-latex-recommended all 2020.20210202-3 [14.5 MB]
Get: 115 http://deb.debian.org/debian bullseye/main i386 cm-super-minimal all 0.3.4-15 [5815 kB]
Get: 116 http://deb.debian.org/debian bullseye/main i386 cmake-data all 3.18.4-2 [1725 kB]
Get: 117 http://deb.debian.org/debian bullseye/main i386 libarchive13 i386 3.4.3-2+b1 [384 kB]
Get: 118 http://deb.debian.org/debian bullseye/main i386 libsasl2-modules-db i386 2.1.27+dfsg-2.1 [70.0 kB]
Get: 119 http://deb.debian.org/debian bullseye/main i386 libsasl2-2 i386 2.1.27+dfsg-2.1 [110 kB]
Get: 120 http://deb.debian.org/debian bullseye/main i386 libldap-2.4-2 i386 2.4.57+dfsg-3 [244 kB]
Get: 121 http://deb.debian.org/debian bullseye/main i386 libnghttp2-14 i386 1.43.0-1 [85.7 kB]
Get: 122 http://deb.debian.org/debian bullseye/main i386 libpsl5 i386 0.21.0-1.2 [57.9 kB]
Get: 123 http://deb.debian.org/debian bullseye/main i386 librtmp1 i386 2.4+20151223.gitfa8646d.1-2+b2 [64.3 kB]
Get: 124 http://deb.debian.org/debian bullseye/main i386 libssh2-1 i386 1.9.0-2 [164 kB]
Get: 125 http://deb.debian.org/debian bullseye/main i386 libcurl4 i386 7.74.0-1.2 [372 kB]
Get: 126 http://deb.debian.org/debian bullseye/main i386 libjsoncpp24 i386 1.9.4-4 [86.1 kB]
Get: 127 http://deb.debian.org/debian bullseye/main i386 librhash0 i386 1.4.1-2 [144 kB]
Get: 128 http://deb.debian.org/debian bullseye/main i386 libuv1 i386 1.40.0-1 [139 kB]
Get: 129 http://deb.debian.org/debian bullseye/main i386 cmake i386 3.18.4-2 [7029 kB]
Get: 130 http://deb.debian.org/debian bullseye/main i386 cython3 i386 0.29.21-3+b1 [1303 kB]
Get: 131 http://deb.debian.org/debian bullseye/main i386 dbus-user-session i386 1.12.20-2 [96.2 kB]
Get: 132 http://deb.debian.org/debian bullseye/main i386 libdconf1 i386 0.38.0-2 [45.2 kB]
Get: 133 http://deb.debian.org/debian bullseye/main i386 dconf-service i386 0.38.0-2 [40.1 kB]
Get: 134 http://deb.debian.org/debian bullseye/main i386 dconf-gsettings-backend i386 0.38.0-2 [32.5 kB]
Get: 135 http://deb.debian.org/debian bullseye/main i386 libdebhelper-perl all 13.3.4 [189 kB]
Get: 136 http://deb.debian.org/debian bullseye/main i386 libtool all 2.4.6-15 [513 kB]
Get: 137 http://deb.debian.org/debian bullseye/main i386 dh-autoreconf all 20 [17.1 kB]
Get: 138 http://deb.debian.org/debian bullseye/main i386 libarchive-zip-perl all 1.68-1 [104 kB]
Get: 139 http://deb.debian.org/debian bullseye/main i386 libsub-override-perl all 0.09-2 [10.2 kB]
Get: 140 http://deb.debian.org/debian bullseye/main i386 libfile-stripnondeterminism-perl all 1.11.0-1 [25.6 kB]
Get: 141 http://deb.debian.org/debian bullseye/main i386 dh-strip-nondeterminism all 1.11.0-1 [15.3 kB]
Get: 142 http://deb.debian.org/debian bullseye/main i386 libelf1 i386 0.183-1 [171 kB]
Get: 143 http://deb.debian.org/debian bullseye/main i386 dwz i386 0.13+20210201-1 [179 kB]
Get: 144 http://deb.debian.org/debian bullseye/main i386 gettext i386 0.21-4 [1322 kB]
Get: 145 http://deb.debian.org/debian bullseye/main i386 intltool-debian all 0.35.0+20060710.5 [26.8 kB]
Get: 146 http://deb.debian.org/debian bullseye/main i386 po-debconf all 1.0.21+nmu1 [248 kB]
Get: 147 http://deb.debian.org/debian bullseye/main i386 debhelper all 13.3.4 [1049 kB]
Get: 148 http://deb.debian.org/debian bullseye/main i386 python3-lib2to3 all 3.9.2-1 [77.8 kB]
Get: 149 http://deb.debian.org/debian bullseye/main i386 python3-distutils all 3.9.2-1 [143 kB]
Get: 150 http://deb.debian.org/debian bullseye/main i386 dh-python all 4.20201102+nmu1 [99.4 kB]
Get: 151 http://deb.debian.org/debian bullseye/main i386 libedit2 i386 3.1-20191231-2+b1 [101 kB]
Get: 152 http://deb.debian.org/debian bullseye/main i386 libz3-4 i386 4.8.10-1 [7737 kB]
Get: 153 http://deb.debian.org/debian bullseye/main i386 libllvm11 i386 1:11.0.1-2 [17.7 MB]
Get: 154 http://deb.debian.org/debian bullseye/main i386 libclang-cpp11 i386 1:11.0.1-2 [9562 kB]
Get: 155 http://deb.debian.org/debian bullseye/main i386 libclang1-11 i386 1:11.0.1-2 [5429 kB]
Get: 156 http://deb.debian.org/debian bullseye/main i386 doxygen i386 1.9.1-1 [4426 kB]
Get: 157 http://deb.debian.org/debian bullseye/main i386 libthai-data all 0.1.28-3 [170 kB]
Get: 158 http://deb.debian.org/debian bullseye/main i386 libdatrie1 i386 0.2.13-1 [44.5 kB]
Get: 159 http://deb.debian.org/debian bullseye/main i386 libthai0 i386 0.1.28-3 [55.3 kB]
Get: 160 http://deb.debian.org/debian bullseye/main i386 libsombok3 i386 2.4.0-2+b1 [33.2 kB]
Get: 161 http://deb.debian.org/debian bullseye/main i386 libmime-charset-perl all 1.012.2-1 [35.4 kB]
Get: 162 http://deb.debian.org/debian bullseye/main i386 libunicode-linebreak-perl i386 0.0.20190101-1+b2 [106 kB]
Get: 163 http://deb.debian.org/debian bullseye/main i386 libjs-jquery all 3.5.1+dfsg+~3.5.5-7 [315 kB]
Get: 164 http://deb.debian.org/debian bullseye/main i386 libfontenc1 i386 1:1.1.4-1 [24.5 kB]
Get: 165 http://deb.debian.org/debian bullseye/main i386 xfonts-encodings all 1:1.0.4-2.1 [573 kB]
Get: 166 http://deb.debian.org/debian bullseye/main i386 xfonts-utils i386 1:7.7+6 [95.2 kB]
Get: 167 http://deb.debian.org/debian bullseye/main i386 lmodern all 2.004.5-6.1 [9489 kB]
Get: 168 http://deb.debian.org/debian bullseye/main i386 texlive-luatex all 2020.20210202-3 [14.4 MB]
Get: 169 http://deb.debian.org/debian bullseye/main i386 texlive-plain-generic all 2020.20210202-3 [27.0 MB]
Get: 170 http://deb.debian.org/debian bullseye/main i386 texlive-extra-utils all 2020.20210202-3 [55.5 MB]
Get: 171 http://deb.debian.org/debian bullseye/main i386 libapache-pom-java all 18-1 [4676 B]
Get: 172 http://deb.debian.org/debian bullseye/main i386 libcommons-parent-java all 43-1 [10.8 kB]
Get: 173 http://deb.debian.org/debian bullseye/main i386 libcommons-logging-java all 1.2-2 [62.2 kB]
Get: 174 http://deb.debian.org/debian bullseye/main i386 libfontbox-java all 1:1.8.16-2 [211 kB]
Get: 175 http://deb.debian.org/debian bullseye/main i386 libpdfbox-java all 1:1.8.16-2 [5205 kB]
Get: 176 http://deb.debian.org/debian bullseye/main i386 preview-latex-style all 12.2-1 [201 kB]
Get: 177 http://deb.debian.org/debian bullseye/main i386 texlive-pictures all 2020.20210202-3 [6743 kB]
Get: 178 http://deb.debian.org/debian bullseye/main i386 texlive-latex-extra all 2020.20210202-3 [13.7 MB]
Get: 179 http://deb.debian.org/debian bullseye/main i386 texlive-font-utils all 2020.20210202-3 [4672 kB]
Get: 180 http://deb.debian.org/debian bullseye/main i386 libgs9-common all 9.53.3~dfsg-7 [734 kB]
Get: 181 http://deb.debian.org/debian bullseye/main i386 libavahi-common-data i386 0.8-5 [123 kB]
Get: 182 http://deb.debian.org/debian bullseye/main i386 libavahi-common3 i386 0.8-5 [60.1 kB]
Get: 183 http://deb.debian.org/debian bullseye/main i386 libavahi-client3 i386 0.8-5 [64.3 kB]
Get: 184 http://deb.debian.org/debian bullseye/main i386 libcups2 i386 2.3.3op2-3+deb11u1 [366 kB]
Get: 185 http://deb.debian.org/debian bullseye/main i386 libidn11 i386 1.33-3 [117 kB]
Get: 186 http://deb.debian.org/debian bullseye/main i386 libijs-0.35 i386 0.35-15 [16.9 kB]
Get: 187 http://deb.debian.org/debian bullseye/main i386 libjbig2dec0 i386 0.19-2 [69.9 kB]
Get: 188 http://deb.debian.org/debian bullseye/main i386 liblcms2-2 i386 2.12~rc1-2 [161 kB]
Get: 189 http://deb.debian.org/debian bullseye/main i386 libopenjp2-7 i386 2.4.0-3 [179 kB]
Get: 190 http://deb.debian.org/debian bullseye/main i386 libgs9 i386 9.53.3~dfsg-7 [2363 kB]
Get: 191 http://deb.debian.org/debian bullseye/main i386 ghostscript i386 9.53.3~dfsg-7 [97.9 kB]
Get: 192 http://deb.debian.org/debian bullseye/main i386 texlive-fonts-recommended all 2020.20210202-3 [5002 kB]
Get: 193 http://deb.debian.org/debian bullseye/main i386 doxygen-latex all 1.9.1-1 [298 kB]
Get: 194 http://deb.debian.org/debian bullseye/main i386 fontconfig i386 2.13.1-4.2 [417 kB]
Get: 195 http://deb.debian.org/debian bullseye/main i386 fonts-lyx all 2.3.6-1 [205 kB]
Get: 196 http://deb.debian.org/debian bullseye/main i386 gdal-data all 3.2.2+dfsg-1 [462 kB]
Get: 197 http://deb.debian.org/debian bullseye/main i386 libproxy1v5 i386 0.4.17-1 [64.0 kB]
Get: 198 http://deb.debian.org/debian bullseye/main i386 glib-networking-common all 2.66.0-2 [68.1 kB]
Get: 199 http://deb.debian.org/debian bullseye/main i386 glib-networking-services i386 2.66.0-2 [17.9 kB]
Get: 200 http://deb.debian.org/debian bullseye/main i386 gsettings-desktop-schemas all 3.38.0-2 [588 kB]
Get: 201 http://deb.debian.org/debian bullseye/main i386 glib-networking i386 2.66.0-2 [73.0 kB]
Get: 202 http://deb.debian.org/debian bullseye/main i386 libcdt5 i386 2.42.2-5 [62.6 kB]
Get: 203 http://deb.debian.org/debian bullseye/main i386 libcgraph6 i386 2.42.2-5 [89.8 kB]
Get: 204 http://deb.debian.org/debian bullseye/main i386 libgd3 i386 2.3.0-2 [142 kB]
Get: 205 http://deb.debian.org/debian bullseye/main i386 libgts-0.7-5 i386 0.7.6+darcs121130-4+b1 [161 kB]
Get: 206 http://deb.debian.org/debian bullseye/main i386 libltdl7 i386 2.4.6-15 [392 kB]
Get: 207 http://deb.debian.org/debian bullseye/main i386 libfribidi0 i386 1.0.8-2 [65.4 kB]
Get: 208 http://deb.debian.org/debian bullseye/main i386 libpango-1.0-0 i386 1.46.2-3 [197 kB]
Get: 209 http://deb.debian.org/debian bullseye/main i386 libpangoft2-1.0-0 i386 1.46.2-3 [65.1 kB]
Get: 210 http://deb.debian.org/debian bullseye/main i386 libpangocairo-1.0-0 i386 1.46.2-3 [51.9 kB]
Get: 211 http://deb.debian.org/debian bullseye/main i386 libpathplan4 i386 2.42.2-5 [64.5 kB]
Get: 212 http://deb.debian.org/debian bullseye/main i386 libgvc6 i386 2.42.2-5 [728 kB]
Get: 213 http://deb.debian.org/debian bullseye/main i386 libgvpr2 i386 2.42.2-5 [221 kB]
Get: 214 http://deb.debian.org/debian bullseye/main i386 liblab-gamut1 i386 2.42.2-5 [221 kB]
Get: 215 http://deb.debian.org/debian bullseye/main i386 graphviz i386 2.42.2-5 [594 kB]
Get: 216 http://deb.debian.org/debian bullseye/main i386 hdf5-helpers i386 1.10.6+repack-4 [40.4 kB]
Get: 217 http://deb.debian.org/debian bullseye/main i386 python3-backcall all 0.2.0-1 [10.7 kB]
Get: 218 http://deb.debian.org/debian bullseye/main i386 python3-decorator all 4.4.2-2 [15.8 kB]
Get: 219 http://deb.debian.org/debian bullseye/main i386 python3-parso all 0.8.1-1 [65.9 kB]
Get: 220 http://deb.debian.org/debian bullseye/main i386 python3-jedi all 0.18.0-1 [620 kB]
Get: 221 http://deb.debian.org/debian bullseye/main i386 python3-ptyprocess all 0.7.0-1 [13.6 kB]
Get: 222 http://deb.debian.org/debian bullseye/main i386 python3-pexpect all 4.8.0-2 [54.9 kB]
Get: 223 http://deb.debian.org/debian bullseye/main i386 python3-pickleshare all 0.7.5-3 [7604 B]
Get: 224 http://deb.debian.org/debian bullseye/main i386 python3-pkg-resources all 52.0.0-3 [189 kB]
Get: 225 http://deb.debian.org/debian bullseye/main i386 python3-wcwidth all 0.1.9+dfsg1-2 [18.2 kB]
Get: 226 http://deb.debian.org/debian bullseye/main i386 python3-prompt-toolkit all 3.0.14-1 [258 kB]
Get: 227 http://deb.debian.org/debian bullseye/main i386 python3-pygments all 2.7.1+dfsg-2.1 [657 kB]
Get: 228 http://deb.debian.org/debian bullseye/main i386 python3-ipython-genutils all 0.2.0-4 [21.4 kB]
Get: 229 http://deb.debian.org/debian bullseye/main i386 python3-traitlets all 5.0.5-1 [84.4 kB]
Get: 230 http://deb.debian.org/debian bullseye/main i386 python3-ipython all 7.20.0-1 [517 kB]
Get: 231 http://deb.debian.org/debian bullseye/main i386 ipython3 all 7.20.0-1 [24.8 kB]
Get: 232 http://deb.debian.org/debian bullseye/main i386 iso-codes all 4.6.0-1 [2824 kB]
Get: 233 http://deb.debian.org/debian bullseye/main i386 libaec0 i386 1.0.4-1 [22.6 kB]
Get: 234 http://deb.debian.org/debian bullseye/main i386 libsz2 i386 1.0.4-1 [6820 B]
Get: 235 http://deb.debian.org/debian bullseye/main i386 libaec-dev i386 1.0.4-1 [21.5 kB]
Get: 236 http://deb.debian.org/debian bullseye/main i386 libaom0 i386 1.0.0.errata1-3 [1181 kB]
Get: 237 http://deb.debian.org/debian bullseye/main i386 libblas3 i386 3.9.0-3 [147 kB]
Get: 238 http://deb.debian.org/debian bullseye/main i386 libgfortran5 i386 10.2.1-6 [643 kB]
Get: 239 http://deb.debian.org/debian bullseye/main i386 liblapack3 i386 3.9.0-3 [1960 kB]
Get: 240 http://deb.debian.org/debian bullseye/main i386 libarpack2 i386 3.8.0-1 [103 kB]
Get: 241 http://deb.debian.org/debian bullseye/main i386 libsuperlu5 i386 5.2.2+dfsg1-2 [161 kB]
Get: 242 http://deb.debian.org/debian bullseye/main i386 libarmadillo10 i386 1:10.1.2+dfsg-5 [103 kB]
Get: 243 http://deb.debian.org/debian bullseye/main i386 libatk1.0-data all 2.36.0-2 [149 kB]
Get: 244 http://deb.debian.org/debian bullseye/main i386 libatk1.0-0 i386 2.36.0-2 [51.9 kB]
Get: 245 http://deb.debian.org/debian bullseye/main i386 libatspi2.0-0 i386 2.38.0-4 [75.6 kB]
Get: 246 http://deb.debian.org/debian bullseye/main i386 libatk-bridge2.0-0 i386 2.38.0-1 [68.7 kB]
Get: 247 http://deb.debian.org/debian bullseye/main i386 libdrm-common all 2.4.104-1 [14.9 kB]
Get: 248 http://deb.debian.org/debian bullseye/main i386 libdrm2 i386 2.4.104-1 [44.3 kB]
Get: 249 http://deb.debian.org/debian bullseye/main i386 libva2 i386 2.10.0-1 [71.7 kB]
Get: 250 http://deb.debian.org/debian bullseye/main i386 libva-drm2 i386 2.10.0-1 [19.3 kB]
Get: 251 http://deb.debian.org/debian bullseye/main i386 libxfixes3 i386 1:5.0.3-2 [22.6 kB]
Get: 252 http://deb.debian.org/debian bullseye/main i386 libva-x11-2 i386 2.10.0-1 [24.6 kB]
Get: 253 http://deb.debian.org/debian bullseye/main i386 libvdpau1 i386 1.4-3 [28.2 kB]
Get: 254 http://deb.debian.org/debian bullseye/main i386 ocl-icd-libopencl1 i386 2.2.14-2 [45.0 kB]
Get: 255 http://deb.debian.org/debian bullseye/main i386 libavutil56 i386 7:4.3.2-0+deb11u2 [310 kB]
Get: 256 http://deb.debian.org/debian bullseye/main i386 libcodec2-0.9 i386 0.9.2-4 [7889 kB]
Get: 257 http://deb.debian.org/debian bullseye/main i386 libdav1d4 i386 0.7.1-3 [262 kB]
Get: 258 http://deb.debian.org/debian bullseye/main i386 libgsm1 i386 1.0.18-2 [29.5 kB]
Get: 259 http://deb.debian.org/debian bullseye/main i386 libmp3lame0 i386 3.100-3 [365 kB]
Get: 260 http://deb.debian.org/debian bullseye/main i386 libopus0 i386 1.3.1-0.1 [191 kB]
Get: 261 http://deb.debian.org/debian bullseye/main i386 libcairo-gobject2 i386 1.16.0-5 [125 kB]
Get: 262 http://deb.debian.org/debian bullseye/main i386 librsvg2-2 i386 2.50.3+dfsg-1 [2559 kB]
Get: 263 http://deb.debian.org/debian bullseye/main i386 libshine3 i386 3.1.1-2 [22.9 kB]
Get: 264 http://deb.debian.org/debian bullseye/main i386 libsnappy1v5 i386 1.1.8-1 [19.0 kB]
Get: 265 http://deb.debian.org/debian bullseye/main i386 libspeex1 i386 1.2~rc1.2-1.1 [93.6 kB]
Get: 266 http://deb.debian.org/debian bullseye/main i386 libsoxr0 i386 0.1.3-4 [79.5 kB]
Get: 267 http://deb.debian.org/debian bullseye/main i386 libswresample3 i386 7:4.3.2-0+deb11u2 [106 kB]
Get: 268 http://deb.debian.org/debian bullseye/main i386 libogg0 i386 1.3.4-0.1 [26.9 kB]
Get: 269 http://deb.debian.org/debian bullseye/main i386 libtheora0 i386 1.1.1+dfsg.1-15 [166 kB]
Get: 270 http://deb.debian.org/debian bullseye/main i386 libtwolame0 i386 0.4.0-2 [50.9 kB]
Get: 271 http://deb.debian.org/debian bullseye/main i386 libvorbis0a i386 1.3.7-1 [91.9 kB]
Get: 272 http://deb.debian.org/debian bullseye/main i386 libvorbisenc2 i386 1.3.7-1 [74.6 kB]
Get: 273 http://deb.debian.org/debian bullseye/main i386 libvpx6 i386 1.9.0-1 [808 kB]
Get: 274 http://deb.debian.org/debian bullseye/main i386 libwavpack1 i386 5.4.0-1 [92.5 kB]
Get: 275 http://deb.debian.org/debian bullseye/main i386 libwebpmux3 i386 0.6.1-2.1 [99.0 kB]
Get: 276 http://deb.debian.org/debian bullseye/main i386 libx264-160 i386 2:0.160.3011+gitcde9a93-2+b2 [927 kB]
Get: 277 http://deb.debian.org/debian bullseye/main i386 libnuma1 i386 2.0.12-1+b1 [27.9 kB]
Get: 278 http://deb.debian.org/debian bullseye/main i386 libx265-192 i386 3.4-2 [668 kB]
Get: 279 http://deb.debian.org/debian bullseye/main i386 libxvidcore4 i386 2:1.3.7-1 [239 kB]
Get: 280 http://deb.debian.org/debian bullseye/main i386 libzvbi-common all 0.2.35-18 [64.6 kB]
Get: 281 http://deb.debian.org/debian bullseye/main i386 libzvbi0 i386 0.2.35-18 [276 kB]
Get: 282 http://deb.debian.org/debian bullseye/main i386 libavcodec58 i386 7:4.3.2-0+deb11u2 [4881 kB]
Get: 283 http://deb.debian.org/debian bullseye/main i386 libavutil-dev i386 7:4.3.2-0+deb11u2 [444 kB]
Get: 284 http://deb.debian.org/debian bullseye/main i386 libswresample-dev i386 7:4.3.2-0+deb11u2 [120 kB]
Get: 285 http://deb.debian.org/debian bullseye/main i386 libavcodec-dev i386 7:4.3.2-0+deb11u2 [5498 kB]
Get: 286 http://deb.debian.org/debian bullseye/main i386 libudfread0 i386 1.1.1-1 [17.6 kB]
Get: 287 http://deb.debian.org/debian bullseye/main i386 libbluray2 i386 1:1.2.1-4 [151 kB]
Get: 288 http://deb.debian.org/debian bullseye/main i386 libchromaprint1 i386 1.5.0-2 [42.9 kB]
Get: 289 http://deb.debian.org/debian bullseye/main i386 libgme0 i386 0.6.3-2 [134 kB]
Get: 290 http://deb.debian.org/debian bullseye/main i386 libmpg123-0 i386 1.26.4-1 [144 kB]
Get: 291 http://deb.debian.org/debian bullseye/main i386 libvorbisfile3 i386 1.3.7-1 [28.6 kB]
Get: 292 http://deb.debian.org/debian bullseye/main i386 libopenmpt0 i386 0.4.11-1 [669 kB]
Get: 293 http://deb.debian.org/debian bullseye/main i386 librabbitmq4 i386 0.10.0-1 [45.1 kB]
Get: 294 http://deb.debian.org/debian bullseye/main i386 libsrt1.4-gnutls i386 1.4.2-1.3 [296 kB]
Get: 295 http://deb.debian.org/debian bullseye/main i386 libssh-gcrypt-4 i386 0.9.5-1 [236 kB]
Get: 296 http://deb.debian.org/debian bullseye/main i386 libnorm1 i386 1.5.9+dfsg-2 [238 kB]
Get: 297 http://deb.debian.org/debian bullseye/main i386 libpgm-5.3-0 i386 5.3.128~dfsg-2 [168 kB]
Get: 298 http://deb.debian.org/debian bullseye/main i386 libsodium23 i386 1.0.18-1 [186 kB]
Get: 299 http://deb.debian.org/debian bullseye/main i386 libzmq5 i386 4.3.4-1 [300 kB]
Get: 300 http://deb.debian.org/debian bullseye/main i386 libavformat58 i386 7:4.3.2-0+deb11u2 [1186 kB]
Get: 301 http://deb.debian.org/debian bullseye/main i386 libavformat-dev i386 7:4.3.2-0+deb11u2 [1420 kB]
Get: 302 http://deb.debian.org/debian bullseye/main i386 libblas-dev i386 3.9.0-3 [157 kB]
Get: 303 http://deb.debian.org/debian bullseye/main i386 libboost1.74-dev i386 1.74.0-9 [9534 kB]
Get: 304 http://deb.debian.org/debian bullseye/main i386 libboost-atomic1.74.0 i386 1.74.0-9 [244 kB]
Get: 305 http://deb.debian.org/debian bullseye/main i386 libboost-atomic1.74-dev i386 1.74.0-9 [245 kB]
Get: 306 http://deb.debian.org/debian bullseye/main i386 libboost-chrono1.74.0 i386 1.74.0-9 [254 kB]
Get: 307 http://deb.debian.org/debian bullseye/main i386 libboost-chrono1.74-dev i386 1.74.0-9 [262 kB]
Get: 308 http://deb.debian.org/debian bullseye/main i386 libboost-date-time1.74.0 i386 1.74.0-9 [241 kB]
Get: 309 http://deb.debian.org/debian bullseye/main i386 libboost-serialization1.74.0 i386 1.74.0-9 [346 kB]
Get: 310 http://deb.debian.org/debian bullseye/main i386 libboost-serialization1.74-dev i386 1.74.0-9 [390 kB]
Get: 311 http://deb.debian.org/debian bullseye/main i386 libboost-date-time1.74-dev i386 1.74.0-9 [250 kB]
Get: 312 http://deb.debian.org/debian bullseye/main i386 libboost-dev i386 1.74.0.3 [4548 B]
Get: 313 http://deb.debian.org/debian bullseye/main i386 libboost-filesystem1.74.0 i386 1.74.0-9 [288 kB]
Get: 314 http://deb.debian.org/debian bullseye/main i386 libboost-system1.74.0 i386 1.74.0-9 [241 kB]
Get: 315 http://deb.debian.org/debian bullseye/main i386 libboost-system1.74-dev i386 1.74.0-9 [243 kB]
Get: 316 http://deb.debian.org/debian bullseye/main i386 libboost-filesystem1.74-dev i386 1.74.0-9 [311 kB]
Get: 317 http://deb.debian.org/debian bullseye/main i386 libboost-filesystem-dev i386 1.74.0.3 [4368 B]
Get: 318 http://deb.debian.org/debian bullseye/main i386 libboost-python1.74.0 i386 1.74.0-9 [319 kB]
Get: 319 http://deb.debian.org/debian bullseye/main i386 libpython3.9 i386 3.9.2-1 [1715 kB]
Get: 320 http://deb.debian.org/debian bullseye/main i386 libexpat1-dev i386 2.2.10-2 [147 kB]
Get: 321 http://deb.debian.org/debian bullseye/main i386 libpython3.9-dev i386 3.9.2-1 [3822 kB]
Get: 322 http://deb.debian.org/debian bullseye/main i386 libpython3-dev i386 3.9.2-3 [21.7 kB]
Get: 323 http://deb.debian.org/debian bullseye/main i386 zlib1g-dev i386 1:1.2.11.dfsg-2 [194 kB]
Get: 324 http://deb.debian.org/debian bullseye/main i386 python3.9-dev i386 3.9.2-1 [515 kB]
Get: 325 http://deb.debian.org/debian bullseye/main i386 libjs-underscore all 1.9.1~dfsg-3 [100 kB]
Get: 326 http://deb.debian.org/debian bullseye/main i386 libjs-sphinxdoc all 3.4.3-2 [127 kB]
Get: 327 http://deb.debian.org/debian bullseye/main i386 python3-dev i386 3.9.2-3 [24.8 kB]
Get: 328 http://deb.debian.org/debian bullseye/main i386 libboost-python1.74-dev i386 1.74.0-9 [344 kB]
Get: 329 http://deb.debian.org/debian bullseye/main i386 libboost-python-dev i386 1.74.0.3 [4632 B]
Get: 330 http://deb.debian.org/debian bullseye/main i386 libboost-system-dev i386 1.74.0.3 [4472 B]
Get: 331 http://deb.debian.org/debian bullseye/main i386 libboost-thread1.74.0 i386 1.74.0-9 [282 kB]
Get: 332 http://deb.debian.org/debian bullseye/main i386 libboost-thread1.74-dev i386 1.74.0-9 [294 kB]
Get: 333 http://deb.debian.org/debian bullseye/main i386 libboost-thread-dev i386 1.74.0.3 [4356 B]
Get: 334 http://deb.debian.org/debian bullseye/main i386 libcap2-bin i386 1:2.44-1 [33.1 kB]
Get: 335 http://deb.debian.org/debian bullseye/main i386 libcurl3-gnutls i386 7.74.0-1.2 [367 kB]
Get: 336 http://deb.debian.org/debian bullseye/main i386 libcfitsio9 i386 3.490-3 [604 kB]
Get: 337 http://deb.debian.org/debian bullseye/main i386 libcharls2 i386 2.2.0+dfsg-2 [82.1 kB]
Get: 338 http://deb.debian.org/debian bullseye/main i386 libcolord2 i386 1.4.5-3 [151 kB]
Get: 339 http://deb.debian.org/debian bullseye/main i386 libdap27 i386 3.20.7-6 [602 kB]
Get: 340 http://deb.debian.org/debian bullseye/main i386 libdapclient6v5 i386 3.20.7-6 [219 kB]
Get: 341 http://deb.debian.org/debian bullseye/main i386 libraw1394-11 i386 2.1.2-2 [45.1 kB]
Get: 342 http://deb.debian.org/debian bullseye/main i386 libusb-1.0-0 i386 2:1.0.24-3 [63.5 kB]
Get: 343 http://deb.debian.org/debian bullseye/main i386 libdc1394-25 i386 2.2.6-3 [113 kB]
Get: 344 http://deb.debian.org/debian bullseye/main i386 libraw1394-dev i386 2.1.2-2 [56.9 kB]
Get: 345 http://deb.debian.org/debian bullseye/main i386 libdc1394-dev i386 2.2.6-3 [142 kB]
Get: 346 http://deb.debian.org/debian bullseye/main i386 libde265-0 i386 1.0.8-1 [254 kB]
Get: 347 http://deb.debian.org/debian bullseye/main i386 libdeflate-dev i386 1.7-1 [44.4 kB]
Get: 348 http://deb.debian.org/debian bullseye/main i386 libdouble-conversion3 i386 3.1.5-6.1 [44.8 kB]
Get: 349 http://deb.debian.org/debian bullseye/main i386 libdrm-amdgpu1 i386 2.4.104-1 [31.5 kB]
Get: 350 http://deb.debian.org/debian bullseye/main i386 libpciaccess0 i386 0.16-1 [55.7 kB]
Get: 351 http://deb.debian.org/debian bullseye/main i386 libdrm-intel1 i386 2.4.104-1 [74.5 kB]
Get: 352 http://deb.debian.org/debian bullseye/main i386 libdrm-nouveau2 i386 2.4.104-1 [28.5 kB]
Get: 353 http://deb.debian.org/debian bullseye/main i386 libdrm-radeon1 i386 2.4.104-1 [31.4 kB]
Get: 354 http://deb.debian.org/debian bullseye/main i386 libdw1 i386 0.183-1 [269 kB]
Get: 355 http://deb.debian.org/debian bullseye/main i386 libepoxy0 i386 1.5.5-1 [196 kB]
Get: 356 http://deb.debian.org/debian bullseye/main i386 libepsilon1 i386 0.9.2+dfsg-5 [41.8 kB]
Get: 357 http://deb.debian.org/debian bullseye/main i386 libexif12 i386 0.6.22-3 [374 kB]
Get: 358 http://deb.debian.org/debian bullseye/main i386 libexif-dev i386 0.6.22-3 [104 kB]
Get: 359 http://deb.debian.org/debian bullseye/main i386 libfreexl1 i386 1.0.6-1 [35.3 kB]
Get: 360 http://deb.debian.org/debian bullseye/main i386 libfyba0 i386 4.1.1-7 [125 kB]
Get: 361 http://deb.debian.org/debian bullseye/main i386 libgeos-3.9.0 i386 3.9.0-1 [1020 kB]
Get: 362 http://deb.debian.org/debian bullseye/main i386 libgeos-c1v5 i386 3.9.0-1 [383 kB]
Get: 363 http://deb.debian.org/debian bullseye/main i386 proj-data all 7.2.1-1 [7940 kB]
Get: 364 http://deb.debian.org/debian bullseye/main i386 libproj19 i386 7.2.1-1 [1212 kB]
Get: 365 http://deb.debian.org/debian bullseye/main i386 libgeotiff5 i386 1.6.0-1 [69.7 kB]
Get: 366 http://deb.debian.org/debian bullseye/main i386 libgif7 i386 5.1.9-2 [46.5 kB]
Get: 367 http://deb.debian.org/debian bullseye/main i386 libhdf4-0-alt i386 4.2.15-3 [287 kB]
Get: 368 http://deb.debian.org/debian bullseye/main i386 libhdf5-103-1 i386 1.10.6+repack-4 [1156 kB]
Get: 369 http://deb.debian.org/debian bullseye/main i386 libheif1 i386 1.11.0-1 [208 kB]
Get: 370 http://deb.debian.org/debian bullseye/main i386 libminizip1 i386 1.1-8+b1 [24.3 kB]
Get: 371 http://deb.debian.org/debian bullseye/main i386 liburiparser1 i386 0.9.4+dfsg-1 [48.0 kB]
Get: 372 http://deb.debian.org/debian bullseye/main i386 libkmlbase1 i386 1.3.0-9 [52.4 kB]
Get: 373 http://deb.debian.org/debian bullseye/main i386 libkmldom1 i386 1.3.0-9 [168 kB]
Get: 374 http://deb.debian.org/debian bullseye/main i386 libkmlengine1 i386 1.3.0-9 [83.1 kB]
Get: 375 http://deb.debian.org/debian bullseye/main i386 mysql-common all 5.8+1.0.7 [7464 B]
Get: 376 http://deb.debian.org/debian bullseye/main i386 mariadb-common all 1:10.5.10-2 [36.0 kB]
Get: 377 http://deb.debian.org/debian bullseye/main i386 libmariadb3 i386 1:10.5.10-2 [173 kB]
Get: 378 http://deb.debian.org/debian bullseye/main i386 libhdf5-hl-100 i386 1.10.6+repack-4 [93.2 kB]
Get: 379 http://deb.debian.org/debian bullseye/main i386 libnetcdf18 i386 1:4.7.4-1 [436 kB]
Get: 380 http://deb.debian.org/debian bullseye/main i386 libodbc1 i386 2.3.6-0.1+b1 [237 kB]
Get: 381 http://deb.debian.org/debian bullseye/main i386 libogdi4.1 i386 4.1.0+ds-5 [218 kB]
Get: 382 http://deb.debian.org/debian bullseye/main i386 libnspr4 i386 2:4.29-1 [122 kB]
Get: 383 http://deb.debian.org/debian bullseye/main i386 libnss3 i386 2:3.61-1 [1384 kB]
Get: 384 http://deb.debian.org/debian bullseye/main i386 libpoppler102 i386 20.09.0-3.1 [1723 kB]
Get: 385 http://deb.debian.org/debian bullseye/main i386 libpq5 i386 13.2-1 [184 kB]
Get: 386 http://deb.debian.org/debian bullseye/main i386 libqhull8.0 i386 2020.2-3 [260 kB]
Get: 387 http://deb.debian.org/debian bullseye/main i386 librttopo1 i386 1.1.0-2 [203 kB]
Get: 388 http://deb.debian.org/debian bullseye/main i386 libspatialite7 i386 5.0.1-2 [1771 kB]
Get: 389 http://deb.debian.org/debian bullseye/main i386 libxerces-c3.2 i386 3.2.3+debian-3 [938 kB]
Get: 390 http://deb.debian.org/debian bullseye/main i386 odbcinst i386 2.3.6-0.1+b1 [49.1 kB]
Get: 391 http://deb.debian.org/debian bullseye/main i386 odbcinst1debian2 i386 2.3.6-0.1+b1 [81.2 kB]
Get: 392 http://deb.debian.org/debian bullseye/main i386 libgdal28 i386 3.2.2+dfsg-1 [7843 kB]
Get: 393 http://deb.debian.org/debian bullseye/main i386 libsocket++1 i386 1.12.13-11 [83.8 kB]
Get: 394 http://deb.debian.org/debian bullseye/main i386 libgdcm3.0 i386 3.0.8-1 [1901 kB]
Get: 395 http://deb.debian.org/debian bullseye/main i386 libgdcm-dev i386 3.0.8-1 [269 kB]
Get: 396 http://deb.debian.org/debian bullseye/main i386 libgflags2.2 i386 2.2.2-2 [84.1 kB]
Get: 397 http://deb.debian.org/debian bullseye/main i386 libgflags-dev i386 2.2.2-2 [102 kB]
Get: 398 http://deb.debian.org/debian bullseye/main i386 libglapi-mesa i386 20.3.4-1 [71.6 kB]
Get: 399 http://deb.debian.org/debian bullseye/main i386 libsensors-config all 1:3.6.0-7 [32.3 kB]
Get: 400 http://deb.debian.org/debian bullseye/main i386 libsensors5 i386 1:3.6.0-7 [53.2 kB]
Get: 401 http://deb.debian.org/debian bullseye/main i386 libvulkan1 i386 1.2.162.0-1 [110 kB]
Get: 402 http://deb.debian.org/debian bullseye/main i386 libgl1-mesa-dri i386 20.3.4-1 [9945 kB]
Get: 403 http://deb.debian.org/debian bullseye/main i386 libglvnd0 i386 1.3.2-1 [44.1 kB]
Get: 404 http://deb.debian.org/debian bullseye/main i386 libx11-xcb1 i386 2:1.7.1-1 [203 kB]
Get: 405 http://deb.debian.org/debian bullseye/main i386 libxcb-dri2-0 i386 1.14-3 [103 kB]
Get: 406 http://deb.debian.org/debian bullseye/main i386 libxcb-dri3-0 i386 1.14-3 [103 kB]
Get: 407 http://deb.debian.org/debian bullseye/main i386 libxcb-glx0 i386 1.14-3 [120 kB]
Get: 408 http://deb.debian.org/debian bullseye/main i386 libxcb-present0 i386 1.14-3 [101 kB]
Get: 409 http://deb.debian.org/debian bullseye/main i386 libxcb-sync1 i386 1.14-3 [105 kB]
Get: 410 http://deb.debian.org/debian bullseye/main i386 libxcb-xfixes0 i386 1.14-3 [105 kB]
Get: 411 http://deb.debian.org/debian bullseye/main i386 libxdamage1 i386 1:1.1.5-2 [15.9 kB]
Get: 412 http://deb.debian.org/debian bullseye/main i386 libxshmfence1 i386 1.3-1 [8976 B]
Get: 413 http://deb.debian.org/debian bullseye/main i386 libxxf86vm1 i386 1:1.1.4-1+b2 [21.7 kB]
Get: 414 http://deb.debian.org/debian bullseye/main i386 libglx-mesa0 i386 20.3.4-1 [195 kB]
Get: 415 http://deb.debian.org/debian bullseye/main i386 libglx0 i386 1.3.2-1 [39.1 kB]
Get: 416 http://deb.debian.org/debian bullseye/main i386 libgl1 i386 1.3.2-1 [83.6 kB]
Get: 417 http://deb.debian.org/debian bullseye/main i386 libgl2ps1.4 i386 1.4.2+dfsg1-1 [39.6 kB]
Get: 418 http://deb.debian.org/debian bullseye/main i386 libglew2.1 i386 2.1.0-4+b1 [154 kB]
Get: 419 http://deb.debian.org/debian bullseye/main i386 libunwind8 i386 1.3.2-2 [53.2 kB]
Get: 420 http://deb.debian.org/debian bullseye/main i386 libgoogle-glog0v5 i386 0.4.0-4 [62.9 kB]
Get: 421 http://deb.debian.org/debian bullseye/main i386 liblzma-dev i386 5.2.5-2 [240 kB]
Get: 422 http://deb.debian.org/debian bullseye/main i386 libunwind-dev i386 1.3.2-2 [382 kB]
Get: 423 http://deb.debian.org/debian bullseye/main i386 libgoogle-glog-dev i386 0.4.0-4 [92.6 kB]
Get: 424 http://deb.debian.org/debian bullseye/main i386 libgphoto2-port12 i386 2.5.27-1 [152 kB]
Get: 425 http://deb.debian.org/debian bullseye/main i386 libgphoto2-6 i386 2.5.27-1 [764 kB]
Get: 426 http://deb.debian.org/debian bullseye/main i386 pkg-config i386 0.29.2-1 [66.3 kB]
Get: 427 http://deb.debian.org/debian bullseye/main i386 libgphoto2-dev i386 2.5.27-1 [107 kB]
Get: 428 http://deb.debian.org/debian bullseye/main i386 libgstreamer1.0-0 i386 1.18.4-2 [2254 kB]
Get: 429 http://deb.debian.org/debian bullseye/main i386 liborc-0.4-0 i386 1:0.4.32-1 [207 kB]
Get: 430 http://deb.debian.org/debian bullseye/main i386 libgstreamer-plugins-base1.0-0 i386 1.18.4-2 [2178 kB]
Get: 431 http://deb.debian.org/debian bullseye/main i386 libjson-glib-1.0-common all 1.6.2-1 [56.9 kB]
Get: 432 http://deb.debian.org/debian bullseye/main i386 libjson-glib-1.0-0 i386 1.6.2-1 [69.3 kB]
Get: 433 http://deb.debian.org/debian bullseye/main i386 libsoup2.4-1 i386 2.72.0-2 [297 kB]
Get: 434 http://deb.debian.org/debian bullseye/main i386 libsoup-gnome2.4-1 i386 2.72.0-2 [22.3 kB]
Get: 435 http://deb.debian.org/debian bullseye/main i386 librest-0.7-0 i386 0.8.1-1.1 [35.3 kB]
Get: 436 http://deb.debian.org/debian bullseye/main i386 libwayland-client0 i386 1.18.0-2~exp1.1 [27.7 kB]
Get: 437 http://deb.debian.org/debian bullseye/main i386 libwayland-cursor0 i386 1.18.0-2~exp1.1 [15.4 kB]
Get: 438 http://deb.debian.org/debian bullseye/main i386 libwayland-egl1 i386 1.18.0-2~exp1.1 [8544 B]
Get: 439 http://deb.debian.org/debian bullseye/main i386 libxcomposite1 i386 1:0.4.5-1 [16.9 kB]
Get: 440 http://deb.debian.org/debian bullseye/main i386 libxcursor1 i386 1:1.2.0-2 [38.8 kB]
Get: 441 http://deb.debian.org/debian bullseye/main i386 libxinerama1 i386 2:1.1.4-2 [17.9 kB]
Get: 442 http://deb.debian.org/debian bullseye/main i386 xkb-data all 2.29-2 [655 kB]
Get: 443 http://deb.debian.org/debian bullseye/main i386 libxkbcommon0 i386 1.0.3-2 [107 kB]
Get: 444 http://deb.debian.org/debian bullseye/main i386 libxrandr2 i386 2:1.5.1-1 [39.3 kB]
Get: 445 http://deb.debian.org/debian bullseye/main i386 libgtk-3-common all 3.24.24-4 [3757 kB]
Get: 446 http://deb.debian.org/debian bullseye/main i386 libgtk-3-0 i386 3.24.24-4 [2881 kB]
Get: 447 http://deb.debian.org/debian bullseye/main i386 libhdf5-cpp-103-1 i386 1.10.6+repack-4 [148 kB]
Get: 448 http://deb.debian.org/debian bullseye/main i386 libhdf5-fortran-102 i386 1.10.6+repack-4 [114 kB]
Get: 449 http://deb.debian.org/debian bullseye/main i386 libhdf5-hl-fortran-100 i386 1.10.6+repack-4 [58.3 kB]
Get: 450 http://deb.debian.org/debian bullseye/main i386 libhdf5-hl-cpp-100 i386 1.10.6+repack-4 [38.1 kB]
Get: 451 http://deb.debian.org/debian bullseye/main i386 libjpeg62-turbo-dev i386 1:2.0.6-4 [299 kB]
Get: 452 http://deb.debian.org/debian bullseye/main i386 libjpeg-dev i386 1:2.0.6-4 [67.8 kB]
Get: 453 http://deb.debian.org/debian bullseye/main i386 libhdf5-dev i386 1.10.6+repack-4 [2586 kB]
Get: 454 http://deb.debian.org/debian bullseye/main i386 libilmbase25 i386 2.5.4-1 [203 kB]
Get: 455 http://deb.debian.org/debian bullseye/main i386 libilmbase-dev i386 2.5.4-1 [160 kB]
Get: 456 http://deb.debian.org/debian bullseye/main i386 libimagequant0 i386 2.12.2-1.1 [32.4 kB]
Get: 457 http://deb.debian.org/debian bullseye/main i386 libjbig-dev i386 2.1-3.1+b2 [30.8 kB]
Get: 458 http://deb.debian.org/debian bullseye/main i386 libjs-jquery-ui all 1.12.1+dfsg-8 [232 kB]
Get: 459 http://deb.debian.org/debian bullseye/main i386 liblbfgsb0 i386 3.0+dfsg.3-9 [28.4 kB]
Get: 460 http://deb.debian.org/debian bullseye/main i386 liblept5 i386 1.79.0-1.1 [1040 kB]
Get: 461 http://deb.debian.org/debian bullseye/main i386 libleveldb1d i386 1.22-3 [162 kB]
Get: 462 http://deb.debian.org/debian bullseye/main i386 libleveldb-dev i386 1.22-3 [219 kB]
Get: 463 http://deb.debian.org/debian bullseye/main i386 liblmdb0 i386 0.9.24-1 [46.7 kB]
Get: 464 http://deb.debian.org/debian bullseye/main i386 liblmdb-dev i386 0.9.24-1 [62.8 kB]
Get: 465 http://deb.debian.org/debian bullseye/main i386 liblzf1 i386 3.6-3 [9668 B]
Get: 466 http://deb.debian.org/debian bullseye/main i386 libtbb2 i386 2020.3-1 [166 kB]
Get: 467 http://deb.debian.org/debian bullseye/main i386 libopencv-core4.5 i386 4.5.1+dfsg-4 [943 kB]
Get: 468 http://deb.debian.org/debian bullseye/main i386 libopencv-flann4.5 i386 4.5.1+dfsg-4 [128 kB]
Get: 469 http://deb.debian.org/debian bullseye/main i386 libopencv-imgproc4.5 i386 4.5.1+dfsg-4 [1034 kB]
Get: 470 http://deb.debian.org/debian bullseye/main i386 libopenexr25 i386 2.5.4-2 [711 kB]
Get: 471 http://deb.debian.org/debian bullseye/main i386 libopencv-imgcodecs4.5 i386 4.5.1+dfsg-4 [140 kB]
Get: 472 http://deb.debian.org/debian bullseye/main i386 libswscale5 i386 7:4.3.2-0+deb11u2 [206 kB]
Get: 473 http://deb.debian.org/debian bullseye/main i386 libopencv-videoio4.5 i386 4.5.1+dfsg-4 [195 kB]
Get: 474 http://deb.debian.org/debian bullseye/main i386 libopencv-highgui4.5 i386 4.5.1+dfsg-4 [52.3 kB]
Get: 475 http://deb.debian.org/debian bullseye/main i386 libopencv-ml4.5 i386 4.5.1+dfsg-4 [220 kB]
Get: 476 http://deb.debian.org/debian bullseye/main i386 libopencv-features2d4.5 i386 4.5.1+dfsg-4 [264 kB]
Get: 477 http://deb.debian.org/debian bullseye/main i386 libopencv-calib3d4.5 i386 4.5.1+dfsg-4 [634 kB]
Get: 478 http://deb.debian.org/debian bullseye/main i386 libtbb-dev i386 2020.3-1 [313 kB]
Get: 479 http://deb.debian.org/debian bullseye/main i386 libopencv-core-dev i386 4.5.1+dfsg-4 [1613 kB]
Get: 480 http://deb.debian.org/debian bullseye/main i386 libopencv-flann-dev i386 4.5.1+dfsg-4 [205 kB]
Get: 481 http://deb.debian.org/debian bullseye/main i386 libopencv-imgproc-dev i386 4.5.1+dfsg-4 [1360 kB]
Get: 482 http://deb.debian.org/debian bullseye/main i386 libopencv-imgcodecs-dev i386 4.5.1+dfsg-4 [202 kB]
Get: 483 http://deb.debian.org/debian bullseye/main i386 libopencv-videoio-dev i386 4.5.1+dfsg-4 [266 kB]
Get: 484 http://deb.debian.org/debian bullseye/main i386 libopenexr-dev i386 2.5.4-2 [159 kB]
Get: 485 http://deb.debian.org/debian bullseye/main i386 libpng-dev i386 1.6.37-3 [307 kB]
Get: 486 http://deb.debian.org/debian bullseye/main i386 libswscale-dev i386 7:4.3.2-0+deb11u2 [232 kB]
Get: 487 http://deb.debian.org/debian bullseye/main i386 libtiffxx5 i386 4.2.0-1 [129 kB]
Get: 488 http://deb.debian.org/debian bullseye/main i386 libtiff-dev i386 4.2.0-1 [438 kB]
Get: 489 http://deb.debian.org/debian bullseye/main i386 libopencv-highgui-dev i386 4.5.1+dfsg-4 [70.2 kB]
Get: 490 http://deb.debian.org/debian bullseye/main i386 libopencv-ml-dev i386 4.5.1+dfsg-4 [298 kB]
Get: 491 http://deb.debian.org/debian bullseye/main i386 libopencv-features2d-dev i386 4.5.1+dfsg-4 [341 kB]
Get: 492 http://deb.debian.org/debian bullseye/main i386 libopencv-calib3d-dev i386 4.5.1+dfsg-4 [907 kB]
Get: 493 http://deb.debian.org/debian bullseye/main i386 libprotobuf23 i386 3.12.4-1 [975 kB]
Get: 494 http://deb.debian.org/debian bullseye/main i386 libopencv-dnn4.5 i386 4.5.1+dfsg-4 [962 kB]
Get: 495 http://deb.debian.org/debian bullseye/main i386 libopencv-objdetect4.5 i386 4.5.1+dfsg-4 [178 kB]
Get: 496 http://deb.debian.org/debian bullseye/main i386 libopencv-photo4.5 i386 4.5.1+dfsg-4 [189 kB]
Get: 497 http://deb.debian.org/debian bullseye/main i386 libopencv-video4.5 i386 4.5.1+dfsg-4 [176 kB]
Get: 498 http://deb.debian.org/debian bullseye/main i386 libopencv-shape4.5 i386 4.5.1+dfsg-4 [67.2 kB]
Get: 499 http://deb.debian.org/debian bullseye/main i386 libopencv-stitching4.5 i386 4.5.1+dfsg-4 [205 kB]
Get: 500 http://deb.debian.org/debian bullseye/main i386 libopencv-superres4.5 i386 4.5.1+dfsg-4 [63.0 kB]
Get: 501 http://deb.debian.org/debian bullseye/main i386 libopencv-videostab4.5 i386 4.5.1+dfsg-4 [94.8 kB]
Get: 502 http://deb.debian.org/debian bullseye/main i386 libopengl0 i386 1.3.2-1 [29.9 kB]
Get: 503 http://deb.debian.org/debian bullseye/main i386 libtcl8.6 i386 8.6.11+dfsg-1 [1082 kB]
Get: 504 http://deb.debian.org/debian bullseye/main i386 libxft2 i386 2.3.2-2 [58.2 kB]
Get: 505 http://deb.debian.org/debian bullseye/main i386 libxss1 i386 1:1.2.3-1 [18.1 kB]
Get: 506 http://deb.debian.org/debian bullseye/main i386 libtk8.6 i386 8.6.11-2 [825 kB]
Get: 507 http://deb.debian.org/debian bullseye/main i386 libvtk9 i386 9.0.1+dfsg1-8 [14.8 MB]
Get: 508 http://deb.debian.org/debian bullseye/main i386 libopencv-viz4.5 i386 4.5.1+dfsg-4 [144 kB]
Get: 509 http://deb.debian.org/debian bullseye/main i386 libtesseract4 i386 4.1.1-2.1 [1355 kB]
Get: 510 http://deb.debian.org/debian bullseye/main i386 libopencv-contrib4.5 i386 4.5.1+dfsg-4 [3349 kB]
Get: 511 http://deb.debian.org/debian bullseye/main i386 libopencv-dnn-dev i386 4.5.1+dfsg-4 [1371 kB]
Get: 512 http://deb.debian.org/debian bullseye/main i386 libopencv-objdetect-dev i386 4.5.1+dfsg-4 [240 kB]
Get: 513 http://deb.debian.org/debian bullseye/main i386 libopencv-photo-dev i386 4.5.1+dfsg-4 [227 kB]
Get: 514 http://deb.debian.org/debian bullseye/main i386 libopencv-video-dev i386 4.5.1+dfsg-4 [232 kB]
Get: 515 http://deb.debian.org/debian bullseye/main i386 libopencv-shape-dev i386 4.5.1+dfsg-4 [84.5 kB]
Get: 516 http://deb.debian.org/debian bullseye/main i386 libopencv-stitching-dev i386 4.5.1+dfsg-4 [261 kB]
Get: 517 http://deb.debian.org/debian bullseye/main i386 libopencv-superres-dev i386 4.5.1+dfsg-4 [76.4 kB]
Get: 518 http://deb.debian.org/debian bullseye/main i386 libopencv-videostab-dev i386 4.5.1+dfsg-4 [123 kB]
Get: 519 http://deb.debian.org/debian bullseye/main i386 libopencv-viz-dev i386 4.5.1+dfsg-4 [195 kB]
Get: 520 http://deb.debian.org/debian bullseye/main i386 libopencv-contrib-dev i386 4.5.1+dfsg-4 [4345 kB]
Get: 521 http://deb.debian.org/debian bullseye/main i386 libopencv-dev i386 4.5.1+dfsg-4 [108 kB]
Get: 522 http://deb.debian.org/debian bullseye/main i386 libprotobuf-lite23 i386 3.12.4-1 [263 kB]
Get: 523 http://deb.debian.org/debian bullseye/main i386 libprotobuf-dev i386 3.12.4-1 [1335 kB]
Get: 524 http://deb.debian.org/debian bullseye/main i386 libprotoc23 i386 3.12.4-1 [872 kB]
Get: 525 http://deb.debian.org/debian bullseye/main i386 libprotoc-dev i386 3.12.4-1 [1007 kB]
Get: 526 http://deb.debian.org/debian bullseye/main i386 libsnappy-dev i386 1.1.8-1 [32.4 kB]
Get: 527 http://deb.debian.org/debian bullseye/main i386 libwebpdemux2 i386 0.6.1-2.1 [88.2 kB]
Get: 528 http://deb.debian.org/debian bullseye/main i386 libyaml-0-2 i386 0.2.2-1 [51.7 kB]
Get: 529 http://deb.debian.org/debian bullseye/main i386 protobuf-compiler i386 3.12.4-1 [75.3 kB]
Get: 530 http://deb.debian.org/debian bullseye/main i386 python-matplotlib-data all 3.3.4-1 [4153 kB]
Get: 531 http://deb.debian.org/debian bullseye/main i386 python3-six all 1.16.0-1 [17.1 kB]
Get: 532 http://deb.debian.org/debian bullseye/main i386 python3-cycler all 0.10.0-3 [8084 B]
Get: 533 http://deb.debian.org/debian bullseye/main i386 python3-dateutil all 2.8.1-5 [81.7 kB]
Get: 534 http://deb.debian.org/debian bullseye/main i386 python3-gflags all 1.5.1-7 [36.2 kB]
Get: 535 http://deb.debian.org/debian bullseye/main i386 python3-numpy i386 1:1.19.5-1 [3600 kB]
Get: 536 http://deb.debian.org/debian bullseye/main i386 python3-h5py-serial i386 2.10.0-9+b2 [657 kB]
Get: 537 http://deb.debian.org/debian bullseye/main i386 python3-h5py all 2.10.0-9 [11.4 kB]
Get: 538 http://deb.debian.org/debian bullseye/main i386 python3-pil i386 8.1.2+dfsg-0.1 [444 kB]
Get: 539 http://deb.debian.org/debian bullseye/main i386 python3-imageio all 2.4.1-3 [3137 kB]
Get: 540 http://deb.debian.org/debian bullseye/main i386 python3-kiwisolver i386 1.3.1-1+b1 [58.5 kB]
Get: 541 http://deb.debian.org/debian bullseye/main i386 python3-pyparsing all 2.4.7-1 [109 kB]
Get: 542 http://deb.debian.org/debian bullseye/main i386 python3-matplotlib i386 3.3.4-1 [4165 kB]
Get: 543 http://deb.debian.org/debian bullseye/main i386 python3-networkx all 2.5+ds-2 [900 kB]
Get: 544 http://deb.debian.org/debian bullseye/main i386 python3-nose all 1.3.7-7 [133 kB]
Get: 545 http://deb.debian.org/debian bullseye/main i386 python3-tz all 2021.1-1 [34.8 kB]
Get: 546 http://deb.debian.org/debian bullseye/main i386 python3-pandas-lib i386 1.1.5+dfsg-2 [3182 kB]
Get: 547 http://deb.debian.org/debian bullseye/main i386 python3-pandas all 1.1.5+dfsg-2 [2096 kB]
Get: 548 http://deb.debian.org/debian bullseye/main i386 python3-protobuf i386 3.12.4-1 [389 kB]
Get: 549 http://deb.debian.org/debian bullseye/main i386 python3-pydotplus all 2.0.2-3 [20.5 kB]
Get: 550 http://deb.debian.org/debian bullseye/main i386 python3-pywt i386 1.1.1-1+b2 [965 kB]
Get: 551 http://deb.debian.org/debian bullseye/main i386 python3-scipy i386 1.6.0-2 [11.9 MB]
Get: 552 http://deb.debian.org/debian bullseye/main i386 python3-skimage-lib i386 0.18.1-1 [1779 kB]
Get: 553 http://deb.debian.org/debian bullseye/main i386 python3-tifffile all 20210201-1 [134 kB]
Get: 554 http://deb.debian.org/debian bullseye/main i386 python3-skimage all 0.18.1-1 [20.5 MB]
Get: 555 http://deb.debian.org/debian bullseye/main i386 python3-yaml i386 5.3.1-4 [126 kB]
Fetched 567 MB in 2min 59s (3173 kB/s)
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package libapparmor1:i386.
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Unpacking libapparmor1:i386 (2.13.6-10) ...
Selecting previously unselected package libcap2:i386.
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Unpacking libcap2:i386 (1:2.44-1) ...
Selecting previously unselected package libargon2-1:i386.
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Unpacking libargon2-1:i386 (0~20171227-0.2) ...
Selecting previously unselected package dmsetup.
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Unpacking dmsetup (2:1.02.175-2.1) ...
Selecting previously unselected package libdevmapper1.02.1:i386.
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Unpacking libdevmapper1.02.1:i386 (2:1.02.175-2.1) ...
Selecting previously unselected package libjson-c5:i386.
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Unpacking libjson-c5:i386 (0.15-2) ...
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Unpacking libcryptsetup12:i386 (2:2.3.5-1) ...
Selecting previously unselected package libip4tc2:i386.
Preparing to unpack .../07-libip4tc2_1.8.7-1_i386.deb ...
Unpacking libip4tc2:i386 (1.8.7-1) ...
Selecting previously unselected package libkmod2:i386.
Preparing to unpack .../08-libkmod2_28-1_i386.deb ...
Unpacking libkmod2:i386 (28-1) ...
Selecting previously unselected package systemd-timesyncd.
Preparing to unpack .../09-systemd-timesyncd_247.3-5_i386.deb ...
Unpacking systemd-timesyncd (247.3-5) ...
Selecting previously unselected package systemd.
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Unpacking systemd (247.3-5) ...
Setting up libapparmor1:i386 (2.13.6-10) ...
Setting up libcap2:i386 (1:2.44-1) ...
Setting up libargon2-1:i386 (0~20171227-0.2) ...
Setting up libjson-c5:i386 (0.15-2) ...
Setting up libip4tc2:i386 (1.8.7-1) ...
Setting up libkmod2:i386 (28-1) ...
Setting up libdevmapper1.02.1:i386 (2:1.02.175-2.1) ...
Setting up libcryptsetup12:i386 (2:2.3.5-1) ...
Setting up systemd-timesyncd (247.3-5) ...
ERROR: ld.so: object 'libeatmydata.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.
Created symlink /etc/systemd/system/dbus-org.freedesktop.timesync1.service -> /lib/systemd/system/systemd-timesyncd.service.
Created symlink /etc/systemd/system/sysinit.target.wants/systemd-timesyncd.service -> /lib/systemd/system/systemd-timesyncd.service.
Setting up systemd (247.3-5) ...
Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service -> /lib/systemd/system/getty@.service.
Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target -> /lib/systemd/system/remote-fs.target.
Created symlink /etc/systemd/system/sysinit.target.wants/systemd-pstore.service -> /lib/systemd/system/systemd-pstore.service.
Initializing machine ID from random generator.
ERROR: ld.so: object 'libeatmydata.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.
ERROR: ld.so: object 'libeatmydata.so' from LD_PRELOAD cannot be preloaded (cannot open shared object file): ignored.
Setting up dmsetup (2:1.02.175-2.1) ...
Selecting previously unselected package systemd-sysv.
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Preparing to unpack .../00-systemd-sysv_247.3-5_i386.deb ...
Unpacking systemd-sysv (247.3-5) ...
Selecting previously unselected package libdbus-1-3:i386.
Preparing to unpack .../01-libdbus-1-3_1.12.20-2_i386.deb ...
Unpacking libdbus-1-3:i386 (1.12.20-2) ...
Selecting previously unselected package libexpat1:i386.
Preparing to unpack .../02-libexpat1_2.2.10-2_i386.deb ...
Unpacking libexpat1:i386 (2.2.10-2) ...
Selecting previously unselected package dbus.
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Unpacking dbus (1.12.20-2) ...
Selecting previously unselected package bsdextrautils.
Preparing to unpack .../04-bsdextrautils_2.36.1-7_i386.deb ...
Unpacking bsdextrautils (2.36.1-7) ...
Selecting previously unselected package libuchardet0:i386.
Preparing to unpack .../05-libuchardet0_0.0.7-1_i386.deb ...
Unpacking libuchardet0:i386 (0.0.7-1) ...
Selecting previously unselected package groff-base.
Preparing to unpack .../06-groff-base_1.22.4-6_i386.deb ...
Unpacking groff-base (1.22.4-6) ...
Selecting previously unselected package libpipeline1:i386.
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Unpacking libpipeline1:i386 (1.5.3-1) ...
Selecting previously unselected package man-db.
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Unpacking man-db (2.9.4-2) ...
Selecting previously unselected package poppler-data.
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Unpacking poppler-data (0.4.10-1) ...
Selecting previously unselected package libpython3.9-minimal:i386.
Preparing to unpack .../10-libpython3.9-minimal_3.9.2-1_i386.deb ...
Unpacking libpython3.9-minimal:i386 (3.9.2-1) ...
Selecting previously unselected package python3.9-minimal.
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Unpacking python3.9-minimal (3.9.2-1) ...
Setting up libpython3.9-minimal:i386 (3.9.2-1) ...
Setting up libexpat1:i386 (2.2.10-2) ...
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Selecting previously unselected package python3-minimal.
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Unpacking python3-minimal (3.9.2-3) ...
Selecting previously unselected package media-types.
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Unpacking libreadline8:i386 (8.1-1) ...
Selecting previously unselected package libpython3.9-stdlib:i386.
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Unpacking libpython3.9-stdlib:i386 (3.9.2-1) ...
Selecting previously unselected package python3.9.
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Unpacking python3.9 (3.9.2-1) ...
Selecting previously unselected package libpython3-stdlib:i386.
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Unpacking libpython3-stdlib:i386 (3.9.2-3) ...
Setting up python3-minimal (3.9.2-3) ...
Selecting previously unselected package python3.
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Preparing to unpack .../000-python3_3.9.2-3_i386.deb ...
Unpacking python3 (3.9.2-3) ...
Selecting previously unselected package sensible-utils.
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Unpacking sensible-utils (0.0.14) ...
Selecting previously unselected package ucf.
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Moving old data out of the way
Unpacking ucf (3.0043) ...
Selecting previously unselected package tex-common.
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Unpacking tex-common (6.16) ...
Selecting previously unselected package libncurses6:i386.
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Unpacking libncurses6:i386 (6.2+20201114-2) ...
Selecting previously unselected package libprocps8:i386.
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Unpacking libprocps8:i386 (2:3.3.17-5) ...
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Unpacking procps (2:3.3.17-5) ...
Selecting previously unselected package bash-completion.
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Unpacking bash-completion (1:2.11-2) ...
Selecting previously unselected package libmagic-mgc.
Preparing to unpack .../008-libmagic-mgc_1%3a5.39-3_i386.deb ...
Unpacking libmagic-mgc (1:5.39-3) ...
Selecting previously unselected package libmagic1:i386.
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Unpacking libmagic1:i386 (1:5.39-3) ...
Selecting previously unselected package file.
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Unpacking file (1:5.39-3) ...
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Unpacking gettext-base (0.21-4) ...
Selecting previously unselected package libpam-systemd:i386.
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Unpacking libpam-systemd:i386 (247.3-5) ...
Selecting previously unselected package hicolor-icon-theme.
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Unpacking hicolor-icon-theme (0.17-2) ...
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Selecting previously unselected package libglib2.0-0:i386.
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Unpacking libxml2:i386 (2.9.10+dfsg-6.7) ...
Selecting previously unselected package shared-mime-info.
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Unpacking shared-mime-info (2.0-1) ...
Selecting previously unselected package libjpeg62-turbo:i386.
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Unpacking libjpeg62-turbo:i386 (1:2.0.6-4) ...
Selecting previously unselected package libpng16-16:i386.
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Unpacking libpng16-16:i386 (1.6.37-3) ...
Selecting previously unselected package libdeflate0:i386.
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Unpacking libdeflate0:i386 (1.7-1) ...
Selecting previously unselected package libjbig0:i386.
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Setcap worked! gst-ptp-helper is not suid!
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/usr/lib/python3/dist-packages/imageio/plugins/_tifffile.py:2813: SyntaxWarning: "is" with a literal. Did you mean "=="?
if key is 0:
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Processing triggers for libc-bin (2.31-12) ...
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fakeroot is already the newest version (1.25.3-1.1).
0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded.
I: Building the package
I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b
dpkg-buildpackage: info: source package caffe
dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8
dpkg-buildpackage: info: source distribution unstable
dpkg-buildpackage: info: source changed by Mo Zhou <lumin@debian.org>
dpkg-source --before-build .
dpkg-buildpackage: info: host architecture i386
fakeroot debian/rules clean
dh clean -Scmake --with python3,bash-completion
debian/rules override_dh_auto_clean
make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_auto_clean --builddirectory="caffe_cpu_build"
rm -f -rf python/caffe/proto/ doxygen
rm -f python/caffe/_caffe.so
find . -type d -name '__pycache__' -exec rm -rf '{}' +
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dh_clean -O-Scmake
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dh build -Scmake --with python3,bash-completion
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make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
perl -p \
-e 's{#CAFFE_CONFIGURE#}{caffe_cpu}g;' \
-e 's{#CAFFE_SOVER#}{1.0.0}g;' \
-e 's{#DEB_HOST_MULTIARCH#}{i386-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#}{i386-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-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_CXX_FLAGS="-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX="/usr" -DCPU_ONLY=ON
cd caffe_cpu_build && cmake -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_BUILD_TYPE=None -DCMAKE_INSTALL_SYSCONFDIR=/etc -DCMAKE_INSTALL_LOCALSTATEDIR=/var -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY=ON -DCMAKE_FIND_PACKAGE_NO_PACKAGE_REGISTRY=ON -DCMAKE_INSTALL_RUNSTATEDIR=/run -DCMAKE_SKIP_INSTALL_ALL_DEPENDENCY=ON "-GUnix Makefiles" -DCMAKE_VERBOSE_MAKEFILE=ON -DCMAKE_INSTALL_LIBDIR=lib/i386-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-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" "-DCMAKE_CXX_FLAGS=-g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2" -DCMAKE_SKIP_RPATH=TRUE -DCMAKE_VERBOSE_MAKEFILE=ON -DUSE_CUDNN=OFF -DUSE_LEVELDB=ON -DUSE_LMDB=ON -DUSE_OPENCV=ON -DCPU_ONLY= -DCMAKE_INSTALL_PREFIX=/usr -DCPU_ONLY=ON ..
-- The C compiler identification is GNU 10.2.1
-- The CXX compiler identification is GNU 10.2.1
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
CMake Warning (dev) at cmake/Misc.cmake:32 (set):
implicitly converting 'BOOLEAN' to 'STRING' type.
Call Stack (most recent call first):
CMakeLists.txt:25 (include)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Found Boost: /usr/lib/i386-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/i386-linux-gnu/libgflags.so)
-- Found Glog: /usr/include
-- Found glog (include: /usr/include, library: /usr/lib/i386-linux-gnu/libglog.so)
-- Found Protobuf: /usr/lib/i386-linux-gnu/libprotobuf.so;-lpthread (found version "3.12.4")
-- Found PROTOBUF Compiler: /usr/bin/protoc
-- Found HDF5: /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so;/usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so;/usr/lib/i386-linux-gnu/libpthread.so;/usr/lib/i386-linux-gnu/libsz.so;/usr/lib/i386-linux-gnu/libz.so;/usr/lib/i386-linux-gnu/libdl.so;/usr/lib/i386-linux-gnu/libm.so (found version "1.10.6") found components: HL
-- Found LMDB: /usr/include
-- Found lmdb (include: /usr/include, library: /usr/lib/i386-linux-gnu/liblmdb.so)
-- Found LevelDB: /usr/include
-- Found LevelDB (include: /usr/include, library: /usr/lib/i386-linux-gnu/libleveldb.so)
-- Found Snappy: /usr/include
-- Found Snappy (include: /usr/include, library: /usr/lib/i386-linux-gnu/libsnappy.so)
-- -- CUDA is disabled. Building without it...
-- OpenCV found (/usr/lib/i386-linux-gnu/cmake/opencv4)
-- Looking for sgemm_
-- Looking for sgemm_ - found
-- Found BLAS: /usr/lib/i386-linux-gnu/libblas.so
-- Found PythonInterp: /usr/bin/python3 (found suitable version "3.9.2", minimum required is "3.0")
-- Found PythonLibs: /usr/lib/i386-linux-gnu/libpython3.9.so (found suitable version "3.9.2", minimum required is "3.0")
-- Found NumPy: /usr/lib/python3/dist-packages/numpy/core/include (found suitable version "1.19.5", minimum required is "1.7.1")
-- NumPy ver. 1.19.5 found (include: /usr/lib/python3/dist-packages/numpy/core/include)
-- Found Boost: /usr/lib/i386-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-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
-- Debug CXX flags : -g -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
-- Build type : Release
--
-- BUILD_SHARED_LIBS : ON
-- BUILD_python : ON
-- BUILD_matlab : OFF
-- BUILD_docs : OFF
-- CPU_ONLY : ON
-- USE_OPENCV : ON
-- USE_LEVELDB : ON
-- USE_LMDB : ON
-- USE_NCCL : OFF
-- ALLOW_LMDB_NOLOCK : OFF
-- USE_HDF5 : ON
--
-- Dependencies:
-- BLAS : Yes (Generic)
-- Boost : Yes (ver. 1.74)
-- glog : Yes
-- gflags : Yes
-- protobuf : Yes (ver. ..)
-- lmdb : Yes (ver. 0.9.24)
-- LevelDB : Yes (ver. 1.22)
-- Snappy : Yes (ver. 1.1.8)
-- OpenCV : Yes (ver. 4.5.1)
-- CUDA : No
--
-- Python:
-- Interpreter : /usr/bin/python3 (ver. 3.9.2)
-- Libraries : /usr/lib/i386-linux-gnu/libpython3.9.so (ver 3.9.2)
-- NumPy : /usr/lib/python3/dist-packages/numpy/core/include (ver 1.19.5)
--
-- Install:
-- Install path : /usr
--
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:
USE_CUDNN
-- Build files have been written to: /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
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make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_auto_build --builddirectory="caffe_cpu_build" \
-- caffe pycaffe test.testbin all
cd caffe_cpu_build && make -j10 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1
make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E make_directory /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --cpp_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/protoc --python_out /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include --proto_path /build/caffe-1.0.0+git20180821.99bd997/src -I /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto /build/caffe-1.0.0+git20180821.99bd997/src/caffe/proto/caffe.proto
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color=
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/argmax_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layer_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/internal_thread.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/internal_thread.cpp
[ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o
[ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o
[ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o
[ 9%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/absval_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/absval_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/accuracy_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_conv_layer.cpp
In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22,
from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23,
from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14,
from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42,
from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25,
from /usr/include/boost/smart_ptr/shared_ptr.hpp:29,
from /usr/include/boost/shared_ptr.hpp:17,
from /usr/include/boost/python/converter/shared_ptr_to_python.hpp:12,
from /usr/include/boost/python/converter/arg_to_python.hpp:15,
from /usr/include/boost/python/call.hpp:15,
from /usr/include/boost/python/object_core.hpp:14,
from /usr/include/boost/python/args.hpp:22,
from /usr/include/boost/python.hpp:11,
from /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:4:
/usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use <boost/bind/bind.hpp> + 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 <iterator> instead.'
13 | BOOST_HEADER_DEPRECATED("<iterator>")
| ^~~~~~~~~~~~~~~~~~~~~~~
[ 11%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/base_data_layer.cpp
[ 11%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/batch_norm_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/batch_norm_layer.cpp
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]':
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=]
298 | } catch (bp::error_already_set) {
| ^~~~~~~~~~~~~~~~~
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr<caffe::Layer<Dtype> > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]':
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=]
[ 13%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/batch_reindex_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/batch_reindex_layer.cpp
[ 13%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/bias_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/bias_layer.cpp
[ 15%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/bnll_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/bnll_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/bnll_layer.cpp
[ 15%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/clip_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/clip_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/clip_layer.cpp
[ 17%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/concat_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/concat_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/concat_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/contrastive_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/contrastive_loss_layer.cpp
[ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/conv_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/conv_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/crop_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/crop_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_conv_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_deconv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_deconv_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_lcn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_lcn_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_lrn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_lrn_layer.cpp
[ 25%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_pooling_layer.cpp
[ 25%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_relu_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_sigmoid_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_sigmoid_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_softmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_softmax_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_tanh_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/data_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/deconv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/deconv_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/dropout_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/dropout_layer.cpp
[ 32%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dummy_data_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/dummy_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/dummy_data_layer.cpp
[ 32%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/eltwise_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/eltwise_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/eltwise_layer.cpp
[ 34%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/elu_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/elu_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/elu_layer.cpp
[ 34%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/embed_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/embed_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/embed_layer.cpp
[ 36%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/euclidean_loss_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/euclidean_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/euclidean_loss_layer.cpp
[ 36%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/exp_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/exp_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/exp_layer.cpp
[ 38%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/filter_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/filter_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/filter_layer.cpp
[ 38%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/flatten_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/flatten_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/flatten_layer.cpp
[ 40%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/hdf5_data_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/hdf5_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/hdf5_data_layer.cpp
[ 42%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/hinge_loss_layer.cpp.o
[ 42%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/hdf5_output_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/hinge_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/hinge_loss_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/hdf5_output_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/hdf5_output_layer.cpp
[ 42%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/im2col_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/im2col_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/im2col_layer.cpp
[ 46%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/inner_product_layer.cpp.o
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/image_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/image_data_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/infogain_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/infogain_loss_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/inner_product_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/inner_product_layer.cpp
[ 46%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/input_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/input_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/input_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/loss_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/lrn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/lrn_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/lstm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/lstm_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/lstm_unit_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/lstm_unit_layer.cpp
[ 53%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/mvn_layer.cpp.o
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/memory_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/memory_data_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/multinomial_logistic_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/multinomial_logistic_loss_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/mvn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/mvn_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/neuron_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/neuron_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/parameter_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/parameter_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/power_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/power_layer.cpp
[ 59%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/recurrent_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/recurrent_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/recurrent_layer.cpp
[ 61%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/reduction_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/reduction_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/reduction_layer.cpp
[ 61%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/relu_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/relu_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/relu_layer.cpp
[ 63%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/reshape_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/reshape_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/reshape_layer.cpp
[ 63%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/rnn_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/rnn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/rnn_layer.cpp
[ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/scale_layer.cpp.o
[ 63%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/sigmoid_cross_entropy_loss_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/sigmoid_cross_entropy_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/scale_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/scale_layer.cpp
[ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/sigmoid_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/sigmoid_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/sigmoid_layer.cpp
[ 67%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/silence_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/silence_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/silence_layer.cpp
[ 67%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/slice_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/slice_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/slice_layer.cpp
[ 69%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/softmax_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/softmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_layer.cpp
[ 69%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_loss_layer.cpp
[ 71%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/split_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/split_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/split_layer.cpp
[ 71%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/spp_layer.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/spp_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/swish_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/swish_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/tanh_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/threshold_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/threshold_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/tile_layer.cpp
[ 76%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o
[ 76%] Building CXX object src/caffe/CMakeFiles/caffe.dir/net.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/window_data_layer.cpp
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/net.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/parallel.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/parallel.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/adadelta_solver.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solvers/adam_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/adam_solver.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solvers/rmsprop_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/rmsprop_solver.cpp
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[ 86%] Building CXX object src/caffe/CMakeFiles/caffe.dir/syncedmem.cpp.o
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/blocking_queue.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/blocking_queue.cpp
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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)':
/build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: 'void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)' is deprecated: Please use the single parameter version of SetTotalBytesLimit(). The second parameter is ignored. [-Wdeprecated-declarations]
60 | coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912);
| ^
In file included from /build/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-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 <boost/bind/bind.hpp> + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.'
36 | BOOST_PRAGMA_MESSAGE(
| ^~~~~~~~~~~~~~~~~~~~
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_symlink_library ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so.1.0.0 ../../lib/libcaffe.so
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -Dpycaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp
In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22,
from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23,
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from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42,
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from /usr/include/boost/smart_ptr/shared_ptr.hpp:29,
from /usr/include/boost/smart_ptr/make_shared_object.hpp:17,
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from /usr/include/boost/make_shared.hpp:14,
from /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.cpp:6:
/usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use <boost/bind/bind.hpp> + 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 <iterator> instead.'
13 | BOOST_HEADER_DEPRECATED("<iterator>")
| ^~~~~~~~~~~~~~~~~~~~~~~
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/usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,_caffe.so -o ../lib/_caffe.so CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o ../lib/libcaffe.so.1.0.0 -lpython3.9 ../lib/libcaffeproto.a /usr/lib/i386-linux-gnu/libboost_system.so.1.74.0 /usr/lib/i386-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/i386-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/i386-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/i386-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/i386-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/i386-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/i386-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/i386-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/i386-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/i386-linux-gnu/libboost_python39.so.1.74.0
Creating symlink /build/caffe-1.0.0+git20180821.99bd997/python/caffe/_caffe.so -> /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/lib/_caffe.so
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python && cp /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include/caffe/proto/*.py /build/caffe-1.0.0+git20180821.99bd997/python/caffe/proto/
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In file included from /usr/include/string.h:495,
from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285,
from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39:
In function 'char* strncpy(char*, const char*, size_t)',
inlined from 'const char* testing::internal::posix::StrNCpy(char*, const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:2672:17,
inlined from 'char* testing::internal::CloneString(const char*, size_t)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2143:19,
inlined from 'static const char* testing::internal::String::CloneCString(const char*)' at /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39:
/usr/include/i386-linux-gnu/bits/string_fortified.h:106:34: warning: 'char* __builtin_strncpy(char*, const char*, unsigned int)' output truncated before terminating nul copying as many bytes from a string as its length [-Wstringop-truncation]
106 | return __builtin___strncpy_chk (__dest, __src, __len, __bos (__dest));
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp: In static member function 'static const char* testing::internal::String::CloneCString(const char*)':
/build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:2154:39: note: length computed here
2154 | NULL : CloneString(c_str, strlen(c_str));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hdf5_output_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5_output_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hdf5data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hdf5data_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_hinge_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_hinge_loss_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_multinomial_logistic_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_multinomial_logistic_loss_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_mvn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_net.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_net.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_reshape_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_slice_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_with_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp
[ 93%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_solver.cpp.o
cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_solver_factory.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_solver_factory.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_syncedmem.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_threshold_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_threshold_layer.cpp
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_util_blas.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_util_blas.cpp
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[ 93%] Building CXX object examples/CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o
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Chapter 1.
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Chapter 2.
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Chapter 3.
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[][] \T1/phv/m/n/10 bool \T1/phv/b/n/10 Upgrade[]V0[]Layer[]Parameter \T1/phv/m
/n/10 (const V1[]Layer[]Parameter &v0[]_[]layer[]_[]connection, V1[]Layer[]Para
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Chapter 5.
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Note: Google Test filter = -*GPU*
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[==========] Running 1162 tests from 152 test cases.
[----------] Global test environment set-up.
[----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SolverFactoryTest/1.TestCreateSolver
[ OK ] SolverFactoryTest/1.TestCreateSolver (16 ms)
[----------] 1 test from SolverFactoryTest/1 (16 ms total)
[----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ReshapeLayerTest/1.TestFlattenValues
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[ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms)
[ RUN ] ReshapeLayerTest/1.TestCopyDimensions
[ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms)
[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis
[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms)
[----------] 12 tests from ReshapeLayerTest/1 (8 ms total)
[----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] AccuracyLayerTest/1.TestForwardTopK
[ OK ] AccuracyLayerTest/1.TestForwardTopK (9 ms)
[ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel
[ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms)
[ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass
[ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms)
[ RUN ] AccuracyLayerTest/1.TestSetup
[ OK ] AccuracyLayerTest/1.TestSetup (0 ms)
[ RUN ] AccuracyLayerTest/1.TestForward
[ OK ] AccuracyLayerTest/1.TestForward (1 ms)
[ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel
[ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms)
[ RUN ] AccuracyLayerTest/1.TestSetupTopK
[ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms)
[ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes
[ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (1 ms)
[ RUN ] AccuracyLayerTest/1.TestForwardPerClass
[ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms)
[----------] 9 tests from AccuracyLayerTest/1 (14 ms total)
[----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] TanHLayerTest/0.TestTanH
[ OK ] TanHLayerTest/0.TestTanH (1 ms)
[ RUN ] TanHLayerTest/0.TestTanHOverflow
[ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms)
[ RUN ] TanHLayerTest/0.TestTanHGradient
[ OK ] TanHLayerTest/0.TestTanHGradient (9 ms)
[----------] 3 tests from TanHLayerTest/0 (10 ms total)
[----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] EmbedLayerTest/0.TestForwardWithBias
[ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms)
[ RUN ] EmbedLayerTest/0.TestGradientWithBias
[ OK ] EmbedLayerTest/0.TestGradientWithBias (23 ms)
[ RUN ] EmbedLayerTest/0.TestSetUp
[ OK ] EmbedLayerTest/0.TestSetUp (0 ms)
[ RUN ] EmbedLayerTest/0.TestForward
[ OK ] EmbedLayerTest/0.TestForward (0 ms)
[ RUN ] EmbedLayerTest/0.TestGradient
[ OK ] EmbedLayerTest/0.TestGradient (15 ms)
[----------] 5 tests from EmbedLayerTest/0 (38 ms total)
[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ConcatLayerTest/1.TestGradientTrivial
[ OK ] ConcatLayerTest/1.TestGradientTrivial (5 ms)
[ RUN ] ConcatLayerTest/1.TestForwardTrivial
[ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms)
[ RUN ] ConcatLayerTest/1.TestSetupNum
[ OK ] ConcatLayerTest/1.TestSetupNum (0 ms)
[ RUN ] ConcatLayerTest/1.TestGradientNum
[ OK ] ConcatLayerTest/1.TestGradientNum (7 ms)
[ RUN ] ConcatLayerTest/1.TestGradientChannels
[ OK ] ConcatLayerTest/1.TestGradientChannels (5 ms)
[ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly
[ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (3 ms)
[ RUN ] ConcatLayerTest/1.TestForwardNum
[ OK ] ConcatLayerTest/1.TestForwardNum (1 ms)
[ RUN ] ConcatLayerTest/1.TestForwardChannels
[ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms)
[ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing
[ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms)
[ RUN ] ConcatLayerTest/1.TestSetupChannels
[ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms)
[----------] 10 tests from ConcatLayerTest/1 (21 ms total)
[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] BenchmarkTest/1.TestTimerStart
[ OK ] BenchmarkTest/1.TestTimerStart (0 ms)
[ RUN ] BenchmarkTest/1.TestTimerStop
[ OK ] BenchmarkTest/1.TestTimerStop (0 ms)
[ RUN ] BenchmarkTest/1.TestTimerSeconds
[ OK ] BenchmarkTest/1.TestTimerSeconds (300 ms)
[ RUN ] BenchmarkTest/1.TestTimerConstructor
[ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms)
[ RUN ] BenchmarkTest/1.TestTimerMilliSeconds
[ OK ] BenchmarkTest/1.TestTimerMilliSeconds (301 ms)
[----------] 5 tests from BenchmarkTest/1 (601 ms total)
[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay
[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (66 ms)
[ RUN ] RMSPropSolverTest/1.TestSnapshot
[ OK ] RMSPropSolverTest/1.TestSnapshot (95 ms)
[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay
[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (208 ms)
[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (30 ms)
[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything
[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (221 ms)
[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare
[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (278 ms)
[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (29 ms)
[ RUN ] RMSPropSolverTest/1.TestSnapshotShare
[ OK ] RMSPropSolverTest/1.TestSnapshotShare (254 ms)
[----------] 8 tests from RMSPropSolverTest/1 (1182 ms total)
[----------] 1 test from SolverTypeUpgradeTest
[ RUN ] SolverTypeUpgradeTest.TestSimple
[ OK ] SolverTypeUpgradeTest.TestSimple (0 ms)
[----------] 1 test from SolverTypeUpgradeTest (0 ms total)
[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy
[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms)
[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy
[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (397 ms)
[ RUN ] ContrastiveLossLayerTest/0.TestGradient
[ OK ] ContrastiveLossLayerTest/0.TestGradient (408 ms)
[ RUN ] ContrastiveLossLayerTest/0.TestForward
[ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms)
[----------] 4 tests from ContrastiveLossLayerTest/0 (806 ms total)
[----------] 20 tests from FilterNetTest
[ RUN ] FilterNetTest.TestFilterInByStage2
[ OK ] FilterNetTest.TestFilterInByStage2 (1 ms)
[ RUN ] FilterNetTest.TestFilterOutByStage2
[ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms)
[ RUN ] FilterNetTest.TestFilterInByNotStage
[ OK ] FilterNetTest.TestFilterInByNotStage (0 ms)
[ RUN ] FilterNetTest.TestFilterOutByNotStage
[ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms)
[ RUN ] FilterNetTest.TestFilterLeNetTrainTest
[ OK ] FilterNetTest.TestFilterLeNetTrainTest (1 ms)
[ RUN ] FilterNetTest.TestFilterInByMultipleStage2
[ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms)
[ RUN ] FilterNetTest.TestFilterOutByMinLevel
[ OK ] FilterNetTest.TestFilterOutByMinLevel (1 ms)
[ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule
[ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (13 ms)
[ RUN ] FilterNetTest.TestFilterInByMinLevel
[ OK ] FilterNetTest.TestFilterInByMinLevel (1 ms)
[ RUN ] FilterNetTest.TestFilterInByMaxLevel2
[ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms)
[ RUN ] FilterNetTest.TestFilterInByMultipleStage
[ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms)
[ RUN ] FilterNetTest.TestFilterOutByMultipleStage
[ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms)
[ RUN ] FilterNetTest.TestFilterInByMaxLevel
[ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms)
[ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule
[ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (1 ms)
[ RUN ] FilterNetTest.TestFilterOutByMaxLevel
[ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms)
[ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule
[ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms)
[ RUN ] FilterNetTest.TestNoFilter
[ OK ] FilterNetTest.TestNoFilter (0 ms)
[ RUN ] FilterNetTest.TestFilterInByStage
[ OK ] FilterNetTest.TestFilterInByStage (1 ms)
[ RUN ] FilterNetTest.TestFilterInByMinLevel2
[ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms)
[ RUN ] FilterNetTest.TestFilterOutByStage
[ OK ] FilterNetTest.TestFilterOutByStage (0 ms)
[----------] 20 tests from FilterNetTest (19 ms total)
[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] EltwiseLayerTest/0.TestProd
[ OK ] EltwiseLayerTest/0.TestProd (0 ms)
[ RUN ] EltwiseLayerTest/0.TestMax
[ OK ] EltwiseLayerTest/0.TestMax (0 ms)
[ RUN ] EltwiseLayerTest/0.TestSumCoeff
[ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms)
[ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient
[ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (7 ms)
[ RUN ] EltwiseLayerTest/0.TestSumGradient
[ OK ] EltwiseLayerTest/0.TestSumGradient (10 ms)
[ RUN ] EltwiseLayerTest/0.TestMaxGradient
[ OK ] EltwiseLayerTest/0.TestMaxGradient (12 ms)
[ RUN ] EltwiseLayerTest/0.TestStableProdGradient
[ OK ] EltwiseLayerTest/0.TestStableProdGradient (8 ms)
[ RUN ] EltwiseLayerTest/0.TestSetUp
[ OK ] EltwiseLayerTest/0.TestSetUp (0 ms)
[ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient
[ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (7 ms)
[ RUN ] EltwiseLayerTest/0.TestSum
[ OK ] EltwiseLayerTest/0.TestSum (0 ms)
[----------] 10 tests from EltwiseLayerTest/0 (44 ms total)
[----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero
[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (5 ms)
[ RUN ] PowerLayerTest/0.TestPowerZeroGradient
[ OK ] PowerLayerTest/0.TestPowerZeroGradient (2 ms)
[ RUN ] PowerLayerTest/0.TestPower
[ OK ] PowerLayerTest/0.TestPower (0 ms)
[ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient
[ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (6 ms)
[ RUN ] PowerLayerTest/0.TestPowerZero
[ OK ] PowerLayerTest/0.TestPowerZero (0 ms)
[ RUN ] PowerLayerTest/0.TestPowerTwoGradient
[ OK ] PowerLayerTest/0.TestPowerTwoGradient (6 ms)
[ RUN ] PowerLayerTest/0.TestPowerTwo
[ OK ] PowerLayerTest/0.TestPowerTwo (0 ms)
[ RUN ] PowerLayerTest/0.TestPowerOne
[ OK ] PowerLayerTest/0.TestPowerOne (0 ms)
[ RUN ] PowerLayerTest/0.TestPowerOneGradient
[ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms)
[ RUN ] PowerLayerTest/0.TestPowerGradient
[ OK ] PowerLayerTest/0.TestPowerGradient (5 ms)
[----------] 10 tests from PowerLayerTest/0 (27 ms total)
[----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] InnerProductLayerTest/0.TestSetUp
[ OK ] InnerProductLayerTest/0.TestSetUp (0 ms)
[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue
[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms)
[ RUN ] InnerProductLayerTest/0.TestForwardTranspose
[ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms)
[ RUN ] InnerProductLayerTest/0.TestGradientTranspose
[ OK ] InnerProductLayerTest/0.TestGradientTranspose (195 ms)
[ RUN ] InnerProductLayerTest/0.TestGradient
[ OK ] InnerProductLayerTest/0.TestGradient (191 ms)
[ RUN ] InnerProductLayerTest/0.TestBackwardTranspose
[ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms)
[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse
[ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms)
[ RUN ] InnerProductLayerTest/0.TestForward
[ OK ] InnerProductLayerTest/0.TestForward (0 ms)
[ RUN ] InnerProductLayerTest/0.TestForwardNoBatch
[ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms)
[----------] 9 tests from InnerProductLayerTest/0 (386 ms total)
[----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay
[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (273 ms)
[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (51 ms)
[ RUN ] RMSPropSolverTest/0.TestSnapshot
[ OK ] RMSPropSolverTest/0.TestSnapshot (100 ms)
[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay
[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (42 ms)
[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare
[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (215 ms)
[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything
[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (152 ms)
[ RUN ] RMSPropSolverTest/0.TestSnapshotShare
[ OK ] RMSPropSolverTest/0.TestSnapshotShare (178 ms)
[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (13 ms)
[----------] 8 tests from RMSPropSolverTest/0 (1025 ms total)
[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare
[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (212 ms)
[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay
[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (51 ms)
[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (50 ms)
[ RUN ] AdaGradSolverTest/1.TestSnapshotShare
[ OK ] AdaGradSolverTest/1.TestSnapshotShare (178 ms)
[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate
[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (66 ms)
[ RUN ] AdaGradSolverTest/1.TestSnapshot
[ OK ] AdaGradSolverTest/1.TestSnapshot (128 ms)
[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything
[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (249 ms)
[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (36 ms)
[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth
[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (68 ms)
[----------] 9 tests from AdaGradSolverTest/1 (1038 ms total)
[----------] 4 tests from BlobSimpleTest/1, where TypeParam = double
[ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals
[ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms)
[ RUN ] BlobSimpleTest/1.TestInitialization
[ OK ] BlobSimpleTest/1.TestInitialization (0 ms)
[ RUN ] BlobSimpleTest/1.TestReshapeZero
[ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms)
[ RUN ] BlobSimpleTest/1.TestReshape
[ OK ] BlobSimpleTest/1.TestReshape (0 ms)
[----------] 4 tests from BlobSimpleTest/1 (0 ms total)
[----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB
[ RUN ] DBTest/0.TestWrite
[ OK ] DBTest/0.TestWrite (318 ms)
[ RUN ] DBTest/0.TestNext
[ OK ] DBTest/0.TestNext (250 ms)
[ RUN ] DBTest/0.TestGetDB
[ OK ] DBTest/0.TestGetDB (95 ms)
[ RUN ] DBTest/0.TestKeyValue
[ OK ] DBTest/0.TestKeyValue (185 ms)
[ RUN ] DBTest/0.TestSeekToFirst
[ OK ] DBTest/0.TestSeekToFirst (195 ms)
[----------] 5 tests from DBTest/0 (1043 ms total)
[----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] MemoryDataLayerTest/0.TestSetup
[ OK ] MemoryDataLayerTest/0.TestSetup (2 ms)
[ RUN ] MemoryDataLayerTest/0.TestSetBatchSize
[ OK ] MemoryDataLayerTest/0.TestSetBatchSize (5 ms)
[ RUN ] MemoryDataLayerTest/0.TestForward
[ OK ] MemoryDataLayerTest/0.TestForward (65 ms)
[ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform
[ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (2 ms)
[ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform
[ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (0 ms)
[----------] 5 tests from MemoryDataLayerTest/0 (74 ms total)
[----------] 12 tests from DataTransformTest/0, where TypeParam = float
[ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels
[ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (1 ms)
[ RUN ] DataTransformTest/0.TestCropSize
[ OK ] DataTransformTest/0.TestCropSize (0 ms)
[ RUN ] DataTransformTest/0.TestMirrorTest
[ OK ] DataTransformTest/0.TestMirrorTest (0 ms)
[ RUN ] DataTransformTest/0.TestCropMirrorTrain
[ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms)
[ RUN ] DataTransformTest/0.TestCropTrain
[ OK ] DataTransformTest/0.TestCropTrain (0 ms)
[ RUN ] DataTransformTest/0.TestMeanValues
[ OK ] DataTransformTest/0.TestMeanValues (0 ms)
[ RUN ] DataTransformTest/0.TestMirrorTrain
[ OK ] DataTransformTest/0.TestMirrorTrain (0 ms)
[ RUN ] DataTransformTest/0.TestMeanValue
[ OK ] DataTransformTest/0.TestMeanValue (0 ms)
[ RUN ] DataTransformTest/0.TestMeanFile
[ OK ] DataTransformTest/0.TestMeanFile (7 ms)
[ RUN ] DataTransformTest/0.TestCropMirrorTest
[ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms)
[ RUN ] DataTransformTest/0.TestCropTest
[ OK ] DataTransformTest/0.TestCropTest (0 ms)
[ RUN ] DataTransformTest/0.TestEmptyTransform
[ OK ] DataTransformTest/0.TestEmptyTransform (0 ms)
[----------] 12 tests from DataTransformTest/0 (8 ms total)
[----------] 4 tests from ConstantFillerTest/0, where TypeParam = float
[ RUN ] ConstantFillerTest/0.TestFill5D
[ OK ] ConstantFillerTest/0.TestFill5D (1 ms)
[ 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)
[----------] 4 tests from ConstantFillerTest/0 (1 ms total)
[----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] FlattenLayerTest/0.TestSetupWithAxis
[ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms)
[ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis
[ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms)
[ RUN ] FlattenLayerTest/0.TestForward
[ OK ] FlattenLayerTest/0.TestForward (0 ms)
[ RUN ] FlattenLayerTest/0.TestGradient
[ OK ] FlattenLayerTest/0.TestGradient (4 ms)
[ RUN ] FlattenLayerTest/0.TestSetup
[ OK ] FlattenLayerTest/0.TestSetup (0 ms)
[ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis
[ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms)
[----------] 6 tests from FlattenLayerTest/0 (5 ms total)
[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] HDF5DataLayerTest/0.TestSkip
[ OK ] HDF5DataLayerTest/0.TestSkip (31 ms)
[ RUN ] HDF5DataLayerTest/0.TestRead
[ OK ] HDF5DataLayerTest/0.TestRead (7 ms)
[----------] 2 tests from HDF5DataLayerTest/0 (38 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)
[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double
[ RUN ] ArgMaxLayerTest/1.TestCPUAxis
[ OK ] ArgMaxLayerTest/1.TestCPUAxis (16 ms)
[ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing
[ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms)
[ RUN ] ArgMaxLayerTest/1.TestSetup
[ OK ] ArgMaxLayerTest/1.TestSetup (2 ms)
[ RUN ] ArgMaxLayerTest/1.TestCPUTopK
[ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms)
[ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal
[ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms)
[ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK
[ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (69 ms)
[ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK
[ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (64 ms)
[ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK
[ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms)
[ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal
[ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms)
[ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal
[ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms)
[ RUN ] ArgMaxLayerTest/1.TestCPU
[ OK ] ArgMaxLayerTest/1.TestCPU (2 ms)
[ RUN ] ArgMaxLayerTest/1.TestSetupAxis
[ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms)
[----------] 12 tests from ArgMaxLayerTest/1 (162 ms total)
[----------] 4 tests from ConstantFillerTest/1, where TypeParam = double
[ RUN ] ConstantFillerTest/1.TestFill
[ OK ] ConstantFillerTest/1.TestFill (0 ms)
[ RUN ] ConstantFillerTest/1.TestFill2D
[ OK ] ConstantFillerTest/1.TestFill2D (0 ms)
[ RUN ] ConstantFillerTest/1.TestFill5D
[ OK ] ConstantFillerTest/1.TestFill5D (0 ms)
[ RUN ] ConstantFillerTest/1.TestFill1D
[ OK ] ConstantFillerTest/1.TestFill1D (0 ms)
[----------] 4 tests from ConstantFillerTest/1 (0 ms total)
[----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] FilterLayerTest/1.TestReshape
[ OK ] FilterLayerTest/1.TestReshape (0 ms)
[ RUN ] FilterLayerTest/1.TestGradient
[ OK ] FilterLayerTest/1.TestGradient (361 ms)
[ RUN ] FilterLayerTest/1.TestForward
[ OK ] FilterLayerTest/1.TestForward (0 ms)
[----------] 3 tests from FilterLayerTest/1 (362 ms total)
[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] TileLayerTest/1.TestTrivialGradient
[ OK ] TileLayerTest/1.TestTrivialGradient (100 ms)
[ RUN ] TileLayerTest/1.TestGradientNum
[ OK ] TileLayerTest/1.TestGradientNum (348 ms)
[ RUN ] TileLayerTest/1.TestForwardNum
[ OK ] TileLayerTest/1.TestForwardNum (1 ms)
[ RUN ] TileLayerTest/1.TestGradientChannels
[ OK ] TileLayerTest/1.TestGradientChannels (363 ms)
[ RUN ] TileLayerTest/1.TestTrivialSetup
[ OK ] TileLayerTest/1.TestTrivialSetup (0 ms)
[ RUN ] TileLayerTest/1.TestSetup
[ OK ] TileLayerTest/1.TestSetup (0 ms)
[ RUN ] TileLayerTest/1.TestForwardChannels
[ OK ] TileLayerTest/1.TestForwardChannels (0 ms)
[----------] 7 tests from TileLayerTest/1 (812 ms total)
[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] HDF5DataLayerTest/1.TestRead
[ OK ] HDF5DataLayerTest/1.TestRead (9 ms)
[ RUN ] HDF5DataLayerTest/1.TestSkip
[ OK ] HDF5DataLayerTest/1.TestSkip (29 ms)
[----------] 2 tests from HDF5DataLayerTest/1 (38 ms total)
[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] DeconvolutionLayerTest/0.TestSetup
[ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms)
[ RUN ] DeconvolutionLayerTest/0.TestGradient
[ OK ] DeconvolutionLayerTest/0.TestGradient (966 ms)
[ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution
[ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms)
[ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D
[ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1504 ms)
[ RUN ] DeconvolutionLayerTest/0.TestGradient3D
[ OK ] DeconvolutionLayerTest/0.TestGradient3D (363 ms)
[----------] 5 tests from DeconvolutionLayerTest/0 (2833 ms total)
[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace
[ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (1 ms)
[ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin
[ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (127 ms)
[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias
[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms)
[ RUN ] ScaleLayerTest/1.TestGradientScale
[ OK ] ScaleLayerTest/1.TestGradientScale (108 ms)
[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle
[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (1 ms)
[ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace
[ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms)
[ RUN ] ScaleLayerTest/1.TestGradientEltwise
[ OK ] ScaleLayerTest/1.TestGradientEltwise (9 ms)
[ RUN ] ScaleLayerTest/1.TestForwardEltwise
[ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms)
[ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam
[ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms)
[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace
[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms)
[ RUN ] ScaleLayerTest/1.TestForwardScale
[ OK ] ScaleLayerTest/1.TestForwardScale (0 ms)
[ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam
[ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (588 ms)
[ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias
[ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (137 ms)
[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam
[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (159 ms)
[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle
[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (161 ms)
[ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2
[ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (108 ms)
[ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd
[ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (344 ms)
[ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd
[ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms)
[ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin
[ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms)
[ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2
[ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms)
[ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace
[ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms)
[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam
[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (1 ms)
[----------] 22 tests from ScaleLayerTest/1 (1744 ms total)
[----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] EuclideanLossLayerTest/0.TestGradient
[ OK ] EuclideanLossLayerTest/0.TestGradient (0 ms)
[ RUN ] EuclideanLossLayerTest/0.TestForward
[ OK ] EuclideanLossLayerTest/0.TestForward (0 ms)
[----------] 2 tests from EuclideanLossLayerTest/0 (0 ms total)
[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] LayerFactoryTest/0.TestCreateLayer
[ OK ] LayerFactoryTest/0.TestCreateLayer (121 ms)
[----------] 1 test from LayerFactoryTest/0 (121 ms total)
[----------] 6 tests from XavierFillerTest/0, where TypeParam = float
[ RUN ] XavierFillerTest/0.TestFill2D
[ OK ] XavierFillerTest/0.TestFill2D (0 ms)
[ RUN ] XavierFillerTest/0.TestFill1D
[ OK ] XavierFillerTest/0.TestFill1D (0 ms)
[ RUN ] XavierFillerTest/0.TestFill5D
[ OK ] XavierFillerTest/0.TestFill5D (0 ms)
[ RUN ] XavierFillerTest/0.TestFillFanIn
[ OK ] XavierFillerTest/0.TestFillFanIn (169 ms)
[ RUN ] XavierFillerTest/0.TestFillFanOut
[ OK ] XavierFillerTest/0.TestFillFanOut (171 ms)
[ RUN ] XavierFillerTest/0.TestFillAverage
[ OK ] XavierFillerTest/0.TestFillAverage (160 ms)
[----------] 6 tests from XavierFillerTest/0 (500 ms total)
[----------] 2 tests from InternalThreadTest
[ RUN ] InternalThreadTest.TestRandomSeed
[ OK ] InternalThreadTest.TestRandomSeed (1 ms)
[ RUN ] InternalThreadTest.TestStartAndExit
[ OK ] InternalThreadTest.TestStartAndExit (0 ms)
[----------] 2 tests from InternalThreadTest (1 ms total)
[----------] 4 tests from GaussianFillerTest/0, where TypeParam = float
[ RUN ] GaussianFillerTest/0.TestFill1D
[ OK ] GaussianFillerTest/0.TestFill1D (1 ms)
[ RUN ] GaussianFillerTest/0.TestFill5D
[ OK ] GaussianFillerTest/0.TestFill5D (0 ms)
[ RUN ] GaussianFillerTest/0.TestFill2D
[ OK ] GaussianFillerTest/0.TestFill2D (1 ms)
[ RUN ] GaussianFillerTest/0.TestFill
[ OK ] GaussianFillerTest/0.TestFill (0 ms)
[----------] 4 tests from GaussianFillerTest/0 (2 ms total)
[----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] HingeLossLayerTest/0.TestGradientL2
[ OK ] HingeLossLayerTest/0.TestGradientL2 (1 ms)
[ RUN ] HingeLossLayerTest/0.TestGradientL1
[ OK ] HingeLossLayerTest/0.TestGradientL1 (0 ms)
[----------] 2 tests from HingeLossLayerTest/0 (1 ms total)
[----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] AdaGradSolverTest/0.TestSnapshotShare
[ OK ] AdaGradSolverTest/0.TestSnapshotShare (365 ms)
[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything
[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (189 ms)
[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay
[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (38 ms)
[ RUN ] AdaGradSolverTest/0.TestSnapshot
[ OK ] AdaGradSolverTest/0.TestSnapshot (85 ms)
[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate
[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (40 ms)
[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth
[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (26 ms)
[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (19 ms)
[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms)
[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare
[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (310 ms)
[----------] 9 tests from AdaGradSolverTest/0 (1077 ms total)
[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ConvolutionLayerTest/1.TestSetup
[ OK ] ConvolutionLayerTest/1.TestSetup (0 ms)
[ RUN ] ConvolutionLayerTest/1.TestGradient3D
[ OK ] ConvolutionLayerTest/1.TestGradient3D (1052 ms)
[ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D
[ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (652 ms)
[ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution
[ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (3 ms)
[ RUN ] ConvolutionLayerTest/1.Test1x1Gradient
[ OK ] ConvolutionLayerTest/1.Test1x1Gradient (891 ms)
[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution
[ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms)
[ RUN ] ConvolutionLayerTest/1.Test1x1Convolution
[ OK ] ConvolutionLayerTest/1.Test1x1Convolution (1 ms)
[ RUN ] ConvolutionLayerTest/1.Test0DConvolution
[ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms)
[ RUN ] ConvolutionLayerTest/1.TestSobelConvolution
[ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms)
[ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution
[ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (15 ms)
[ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution
[ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (3 ms)
[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup
[ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms)
[ RUN ] ConvolutionLayerTest/1.TestGradient
[ OK ] ConvolutionLayerTest/1.TestGradient (118 ms)
[ RUN ] ConvolutionLayerTest/1.TestDilatedGradient
[ OK ] ConvolutionLayerTest/1.TestDilatedGradient (27 ms)
[ RUN ] ConvolutionLayerTest/1.TestGradientGroup
[ OK ] ConvolutionLayerTest/1.TestGradientGroup (30 ms)
[----------] 15 tests from ConvolutionLayerTest/1 (2792 ms total)
[----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float
[ RUN ] CPUMathFunctionsTest/0.TestNothing
[ OK ] CPUMathFunctionsTest/0.TestNothing (4 ms)
[ RUN ] CPUMathFunctionsTest/0.TestSign
[ OK ] CPUMathFunctionsTest/0.TestSign (6 ms)
[ RUN ] CPUMathFunctionsTest/0.TestSgnbit
[ OK ] CPUMathFunctionsTest/0.TestSgnbit (7 ms)
[ RUN ] CPUMathFunctionsTest/0.TestAsum
[ OK ] CPUMathFunctionsTest/0.TestAsum (4 ms)
[ RUN ] CPUMathFunctionsTest/0.TestFabs
[ OK ] CPUMathFunctionsTest/0.TestFabs (5 ms)
[ RUN ] CPUMathFunctionsTest/0.TestScale
[ OK ] CPUMathFunctionsTest/0.TestScale (6 ms)
[ RUN ] CPUMathFunctionsTest/0.TestCopy
[ OK ] CPUMathFunctionsTest/0.TestCopy (7 ms)
[----------] 7 tests from CPUMathFunctionsTest/0 (39 ms total)
[----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB
[ RUN ] DBTest/1.TestSeekToFirst
[ OK ] DBTest/1.TestSeekToFirst (254 ms)
[ RUN ] DBTest/1.TestWrite
[ OK ] DBTest/1.TestWrite (269 ms)
[ RUN ] DBTest/1.TestGetDB
[ OK ] DBTest/1.TestGetDB (94 ms)
[ RUN ] DBTest/1.TestKeyValue
[ OK ] DBTest/1.TestKeyValue (74 ms)
[ RUN ] DBTest/1.TestNext
[ OK ] DBTest/1.TestNext (50 ms)
[----------] 5 tests from DBTest/1 (741 ms total)
[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] LayerFactoryTest/1.TestCreateLayer
[ OK ] LayerFactoryTest/1.TestCreateLayer (138 ms)
[----------] 1 test from LayerFactoryTest/1 (138 ms total)
[----------] 6 tests from MSRAFillerTest/0, where TypeParam = float
[ RUN ] MSRAFillerTest/0.TestFillFanOut
[ OK ] MSRAFillerTest/0.TestFillFanOut (98 ms)
[ RUN ] MSRAFillerTest/0.TestFill2D
[ OK ] MSRAFillerTest/0.TestFill2D (0 ms)
[ RUN ] MSRAFillerTest/0.TestFill5D
[ OK ] MSRAFillerTest/0.TestFill5D (0 ms)
[ RUN ] MSRAFillerTest/0.TestFillAverage
[ OK ] MSRAFillerTest/0.TestFillAverage (90 ms)
[ RUN ] MSRAFillerTest/0.TestFill1D
[ OK ] MSRAFillerTest/0.TestFill1D (0 ms)
[ RUN ] MSRAFillerTest/0.TestFillFanIn
[ OK ] MSRAFillerTest/0.TestFillFanIn (88 ms)
[----------] 6 tests from MSRAFillerTest/0 (276 ms total)
[----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] MaxPoolingDropoutTest/0.TestSetup
[ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms)
[ RUN ] MaxPoolingDropoutTest/0.TestForward
[ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms)
[ RUN ] MaxPoolingDropoutTest/0.TestBackward
[ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms)
[----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total)
[----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SPPLayerTest/1.TestSetup
[ OK ] SPPLayerTest/1.TestSetup (0 ms)
[ RUN ] SPPLayerTest/1.TestForwardBackward
[ OK ] SPPLayerTest/1.TestForwardBackward (1 ms)
[ RUN ] SPPLayerTest/1.TestEqualOutputDims2
[ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms)
[ RUN ] SPPLayerTest/1.TestGradient
[ OK ] SPPLayerTest/1.TestGradient (3830 ms)
[ RUN ] SPPLayerTest/1.TestEqualOutputDims
[ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms)
[----------] 5 tests from SPPLayerTest/1 (3831 ms total)
[----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] DeconvolutionLayerTest/1.TestSetup
[ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms)
[ RUN ] DeconvolutionLayerTest/1.TestGradient3D
[ OK ] DeconvolutionLayerTest/1.TestGradient3D (354 ms)
[ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution
[ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms)
[ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D
[ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1747 ms)
[ RUN ] DeconvolutionLayerTest/1.TestGradient
[ OK ] DeconvolutionLayerTest/1.TestGradient (948 ms)
[----------] 5 tests from DeconvolutionLayerTest/1 (3050 ms total)
[----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam
[ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (264 ms)
[ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd
[ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (174 ms)
[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam
[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (127 ms)
[ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace
[ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms)
[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle
[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (136 ms)
[ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd
[ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms)
[ RUN ] BiasLayerTest/1.TestForwardEltwise
[ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms)
[ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin
[ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (135 ms)
[ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin
[ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (1 ms)
[ RUN ] BiasLayerTest/1.TestForwardBiasAxis2
[ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms)
[ RUN ] BiasLayerTest/1.TestGradientBias
[ OK ] BiasLayerTest/1.TestGradientBias (114 ms)
[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace
[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms)
[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle
[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms)
[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam
[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms)
[ RUN ] BiasLayerTest/1.TestGradientBiasAxis2
[ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (115 ms)
[ RUN ] BiasLayerTest/1.TestForwardBias
[ OK ] BiasLayerTest/1.TestForwardBias (0 ms)
[ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam
[ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms)
[ RUN ] BiasLayerTest/1.TestGradientEltwise
[ OK ] BiasLayerTest/1.TestGradientEltwise (7 ms)
[ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace
[ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms)
[ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace
[ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms)
[----------] 20 tests from BiasLayerTest/1 (1074 ms total)
[----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] InfogainLossLayerTest/1.TestInfogainLoss
[ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms)
[ RUN ] InfogainLossLayerTest/1.TestGradient
[ OK ] InfogainLossLayerTest/1.TestGradient (5 ms)
[----------] 2 tests from InfogainLossLayerTest/1 (5 ms total)
[----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float
[ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU
[ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (1 ms)
[----------] 1 test from MultinomialLogisticLossLayerTest/0 (1 ms total)
[----------] 2 tests from BilinearFillerTest/0, where TypeParam = float
[ RUN ] BilinearFillerTest/0.TestFillEven
[ OK ] BilinearFillerTest/0.TestFillEven (15 ms)
[ RUN ] BilinearFillerTest/0.TestFillOdd
[ OK ] BilinearFillerTest/0.TestFillOdd (18 ms)
[----------] 2 tests from BilinearFillerTest/0 (33 ms total)
[----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] EmbedLayerTest/1.TestSetUp
[ OK ] EmbedLayerTest/1.TestSetUp (0 ms)
[ RUN ] EmbedLayerTest/1.TestForwardWithBias
[ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms)
[ RUN ] EmbedLayerTest/1.TestGradient
[ OK ] EmbedLayerTest/1.TestGradient (17 ms)
[ RUN ] EmbedLayerTest/1.TestForward
[ OK ] EmbedLayerTest/1.TestForward (0 ms)
[ RUN ] EmbedLayerTest/1.TestGradientWithBias
[ OK ] EmbedLayerTest/1.TestGradientWithBias (18 ms)
[----------] 5 tests from EmbedLayerTest/1 (35 ms total)
[----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SoftmaxLayerTest/1.TestGradient
[ OK ] SoftmaxLayerTest/1.TestGradient (546 ms)
[ RUN ] SoftmaxLayerTest/1.TestForward
[ OK ] SoftmaxLayerTest/1.TestForward (0 ms)
[----------] 2 tests from SoftmaxLayerTest/1 (546 ms total)
[----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ConcatLayerTest/0.TestSetupChannels
[ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms)
[ RUN ] ConcatLayerTest/0.TestForwardChannels
[ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms)
[ RUN ] ConcatLayerTest/0.TestForwardTrivial
[ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms)
[ RUN ] ConcatLayerTest/0.TestGradientNum
[ OK ] ConcatLayerTest/0.TestGradientNum (6 ms)
[ RUN ] ConcatLayerTest/0.TestSetupNum
[ OK ] ConcatLayerTest/0.TestSetupNum (0 ms)
[ RUN ] ConcatLayerTest/0.TestGradientTrivial
[ OK ] ConcatLayerTest/0.TestGradientTrivial (4 ms)
[ RUN ] ConcatLayerTest/0.TestGradientChannels
[ OK ] ConcatLayerTest/0.TestGradientChannels (4 ms)
[ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly
[ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (3 ms)
[ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing
[ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms)
[ RUN ] ConcatLayerTest/0.TestForwardNum
[ OK ] ConcatLayerTest/0.TestForwardNum (1 ms)
[----------] 10 tests from ConcatLayerTest/0 (19 ms total)
[----------] 4 tests from UniformFillerTest/1, where TypeParam = double
[ RUN ] UniformFillerTest/1.TestFill2D
[ OK ] UniformFillerTest/1.TestFill2D (0 ms)
[ RUN ] UniformFillerTest/1.TestFill1D
[ OK ] UniformFillerTest/1.TestFill1D (0 ms)
[ RUN ] UniformFillerTest/1.TestFill
[ OK ] UniformFillerTest/1.TestFill (0 ms)
[ RUN ] UniformFillerTest/1.TestFill5D
[ OK ] UniformFillerTest/1.TestFill5D (0 ms)
[----------] 4 tests from UniformFillerTest/1 (0 ms total)
[----------] 4 tests from UniformFillerTest/0, where TypeParam = float
[ RUN ] UniformFillerTest/0.TestFill1D
[ OK ] UniformFillerTest/0.TestFill1D (0 ms)
[ RUN ] UniformFillerTest/0.TestFill2D
[ OK ] UniformFillerTest/0.TestFill2D (0 ms)
[ RUN ] UniformFillerTest/0.TestFill5D
[ OK ] UniformFillerTest/0.TestFill5D (0 ms)
[ RUN ] UniformFillerTest/0.TestFill
[ OK ] UniformFillerTest/0.TestFill (0 ms)
[----------] 4 tests from UniformFillerTest/0 (0 ms total)
[----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum
[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (114 ms)
[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (20 ms)
[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare
[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (240 ms)
[ RUN ] AdaDeltaSolverTest/0.TestSnapshot
[ OK ] AdaDeltaSolverTest/0.TestSnapshot (157 ms)
[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter
[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (251 ms)
[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum
[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (120 ms)
[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate
[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (25 ms)
[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything
[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (198 ms)
[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms)
[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay
[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (49 ms)
[ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare
[ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (235 ms)
[----------] 11 tests from AdaDeltaSolverTest/0 (1420 ms total)
[----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SliceLayerTest/1.TestSetupChannels
[ OK ] SliceLayerTest/1.TestSetupChannels (0 ms)
[ RUN ] SliceLayerTest/1.TestGradientAcrossChannels
[ OK ] SliceLayerTest/1.TestGradientAcrossChannels (72 ms)
[ RUN ] SliceLayerTest/1.TestSliceAcrossChannels
[ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms)
[ RUN ] SliceLayerTest/1.TestGradientTrivial
[ OK ] SliceLayerTest/1.TestGradientTrivial (19 ms)
[ RUN ] SliceLayerTest/1.TestSetupNum
[ OK ] SliceLayerTest/1.TestSetupNum (0 ms)
[ RUN ] SliceLayerTest/1.TestTrivialSlice
[ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms)
[ RUN ] SliceLayerTest/1.TestSliceAcrossNum
[ OK ] SliceLayerTest/1.TestSliceAcrossNum (1 ms)
[ RUN ] SliceLayerTest/1.TestGradientAcrossNum
[ OK ] SliceLayerTest/1.TestGradientAcrossNum (59 ms)
[----------] 8 tests from SliceLayerTest/1 (151 ms total)
[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel
[ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms)
[ RUN ] SoftmaxWithLossLayerTest/1.TestGradient
[ OK ] SoftmaxWithLossLayerTest/1.TestGradient (34 ms)
[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized
[ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (33 ms)
[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel
[ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (32 ms)
[----------] 4 tests from SoftmaxWithLossLayerTest/1 (99 ms total)
[----------] 4 tests from BlobSimpleTest/0, where TypeParam = float
[ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals
[ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms)
[ RUN ] BlobSimpleTest/0.TestInitialization
[ OK ] BlobSimpleTest/0.TestInitialization (0 ms)
[ RUN ] BlobSimpleTest/0.TestReshapeZero
[ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms)
[ RUN ] BlobSimpleTest/0.TestReshape
[ OK ] BlobSimpleTest/0.TestReshape (0 ms)
[----------] 4 tests from BlobSimpleTest/0 (0 ms total)
[----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] EuclideanLossLayerTest/1.TestForward
[ OK ] EuclideanLossLayerTest/1.TestForward (0 ms)
[ RUN ] EuclideanLossLayerTest/1.TestGradient
[ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms)
[----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total)
[----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SGDSolverTest/0.TestSnapshot
[ OK ] SGDSolverTest/0.TestSnapshot (287 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (72 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (488 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (272 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (164 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (16 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (67 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (233 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms)
[ RUN ] SGDSolverTest/0.TestSnapshotShare
[ OK ] SGDSolverTest/0.TestSnapshotShare (68 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (46 ms)
[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay
[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (70 ms)
[----------] 12 tests from SGDSolverTest/0 (1787 ms total)
[----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace
[ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms)
[ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace
[ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms)
[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam
[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms)
[ RUN ] BiasLayerTest/0.TestGradientBias
[ OK ] BiasLayerTest/0.TestGradientBias (124 ms)
[ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin
[ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms)
[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace
[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms)
[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle
[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms)
[ RUN ] BiasLayerTest/0.TestForwardBias
[ OK ] BiasLayerTest/0.TestForwardBias (0 ms)
[ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin
[ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (121 ms)
[ RUN ] BiasLayerTest/0.TestForwardBiasAxis2
[ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms)
[ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd
[ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms)
[ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam
[ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (272 ms)
[ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd
[ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (185 ms)
[ RUN ] BiasLayerTest/0.TestGradientBiasAxis2
[ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (110 ms)
[ RUN ] BiasLayerTest/0.TestForwardEltwise
[ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms)
[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle
[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (142 ms)
[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam
[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (141 ms)
[ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam
[ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms)
[ RUN ] BiasLayerTest/0.TestGradientEltwise
[ OK ] BiasLayerTest/0.TestGradientEltwise (5 ms)
[ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace
[ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms)
[----------] 20 tests from BiasLayerTest/0 (1101 ms total)
[----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] CropLayerTest/0.TestSetupShapeAll
[ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms)
[ RUN ] CropLayerTest/0.TestCropAllGradient
[ OK ] CropLayerTest/0.TestCropAllGradient (361 ms)
[ RUN ] CropLayerTest/0.TestCropHW
[ OK ] CropLayerTest/0.TestCropHW (0 ms)
[ RUN ] CropLayerTest/0.TestCrop5D
[ OK ] CropLayerTest/0.TestCrop5D (0 ms)
[ RUN ] CropLayerTest/0.TestCropHWGradient
[ OK ] CropLayerTest/0.TestCropHWGradient (638 ms)
[ RUN ] CropLayerTest/0.TestDimensionsCheck
[ OK ] CropLayerTest/0.TestDimensionsCheck (1 ms)
[ RUN ] CropLayerTest/0.TestCrop5DGradient
[ OK ] CropLayerTest/0.TestCrop5DGradient (2241 ms)
[ RUN ] CropLayerTest/0.TestSetupShapeDefault
[ OK ] CropLayerTest/0.TestSetupShapeDefault (1 ms)
[ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing
[ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms)
[ RUN ] CropLayerTest/0.TestCropAllOffset
[ OK ] CropLayerTest/0.TestCropAllOffset (0 ms)
[ RUN ] CropLayerTest/0.TestCropAll
[ OK ] CropLayerTest/0.TestCropAll (0 ms)
[----------] 11 tests from CropLayerTest/0 (3242 ms total)
[----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] PowerLayerTest/1.TestPowerGradient
[ OK ] PowerLayerTest/1.TestPowerGradient (12 ms)
[ RUN ] PowerLayerTest/1.TestPowerZero
[ OK ] PowerLayerTest/1.TestPowerZero (0 ms)
[ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient
[ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (6 ms)
[ RUN ] PowerLayerTest/1.TestPowerTwo
[ OK ] PowerLayerTest/1.TestPowerTwo (0 ms)
[ RUN ] PowerLayerTest/1.TestPowerOne
[ OK ] PowerLayerTest/1.TestPowerOne (0 ms)
[ RUN ] PowerLayerTest/1.TestPowerTwoGradient
[ OK ] PowerLayerTest/1.TestPowerTwoGradient (5 ms)
[ RUN ] PowerLayerTest/1.TestPower
[ OK ] PowerLayerTest/1.TestPower (0 ms)
[ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero
[ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (12 ms)
[ RUN ] PowerLayerTest/1.TestPowerOneGradient
[ OK ] PowerLayerTest/1.TestPowerOneGradient (3 ms)
[ RUN ] PowerLayerTest/1.TestPowerZeroGradient
[ OK ] PowerLayerTest/1.TestPowerZeroGradient (2 ms)
[----------] 10 tests from PowerLayerTest/1 (40 ms total)
[----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] BatchReindexLayerTest/0.TestForward
[ OK ] BatchReindexLayerTest/0.TestForward (0 ms)
[ RUN ] BatchReindexLayerTest/0.TestGradient
[ OK ] BatchReindexLayerTest/0.TestGradient (898 ms)
[----------] 2 tests from BatchReindexLayerTest/0 (898 ms total)
[----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ImageDataLayerTest/0.TestRead
[ OK ] ImageDataLayerTest/0.TestRead (216 ms)
[ RUN ] ImageDataLayerTest/0.TestReshape
[ OK ] ImageDataLayerTest/0.TestReshape (65 ms)
[ RUN ] ImageDataLayerTest/0.TestShuffle
[ OK ] ImageDataLayerTest/0.TestShuffle (166 ms)
[ RUN ] ImageDataLayerTest/0.TestSpace
[ OK ] ImageDataLayerTest/0.TestSpace (103 ms)
[ RUN ] ImageDataLayerTest/0.TestResize
[ OK ] ImageDataLayerTest/0.TestResize (221 ms)
[----------] 5 tests from ImageDataLayerTest/0 (771 ms total)
[----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] Im2colLayerTest/0.TestGradientForceND
[ OK ] Im2colLayerTest/0.TestGradientForceND (799 ms)
[ RUN ] Im2colLayerTest/0.TestSetup
[ OK ] Im2colLayerTest/0.TestSetup (0 ms)
[ RUN ] Im2colLayerTest/0.TestDilatedGradient
[ OK ] Im2colLayerTest/0.TestDilatedGradient (1253 ms)
[ RUN ] Im2colLayerTest/0.TestRect
[ OK ] Im2colLayerTest/0.TestRect (0 ms)
[ RUN ] Im2colLayerTest/0.TestForward
[ OK ] Im2colLayerTest/0.TestForward (0 ms)
[ RUN ] Im2colLayerTest/0.TestRectGradient
[ OK ] Im2colLayerTest/0.TestRectGradient (337 ms)
[ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND
[ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2396 ms)
[ RUN ] Im2colLayerTest/0.TestGradient
[ OK ] Im2colLayerTest/0.TestGradient (400 ms)
[----------] 8 tests from Im2colLayerTest/0 (5185 ms total)
[----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp
[ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms)
[ RUN ] LSTMLayerTest/0.TestGradient
[ OK ] LSTMLayerTest/0.TestGradient (448 ms)
[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont
[ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (90 ms)
[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2
[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (830 ms)
[ RUN ] LSTMLayerTest/0.TestSetUp
[ OK ] LSTMLayerTest/0.TestSetUp (2 ms)
[ RUN ] LSTMLayerTest/0.TestForward
[ OK ] LSTMLayerTest/0.TestForward (15 ms)
[ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont
[ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (492 ms)
[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient
[ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (89 ms)
[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput
[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (5279 ms)
[----------] 9 tests from LSTMLayerTest/0 (7245 ms total)
[----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SPPLayerTest/0.TestSetup
[ OK ] SPPLayerTest/0.TestSetup (1 ms)
[ RUN ] SPPLayerTest/0.TestEqualOutputDims2
[ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms)
[ RUN ] SPPLayerTest/0.TestForwardBackward
[ OK ] SPPLayerTest/0.TestForwardBackward (0 ms)
[ RUN ] SPPLayerTest/0.TestEqualOutputDims
[ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms)
[ RUN ] SPPLayerTest/0.TestGradient
[ OK ] SPPLayerTest/0.TestGradient (3870 ms)
[----------] 5 tests from SPPLayerTest/0 (3871 ms total)
[----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double
[ RUN ] PositiveUnitballFillerTest/1.TestFill2D
[ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms)
[ 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)
[----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total)
[----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] BlobMathTest/1.TestAsum
[ OK ] BlobMathTest/1.TestAsum (0 ms)
[ RUN ] BlobMathTest/1.TestScaleData
[ OK ] BlobMathTest/1.TestScaleData (0 ms)
[ RUN ] BlobMathTest/1.TestSumOfSquares
[ OK ] BlobMathTest/1.TestSumOfSquares (0 ms)
[----------] 3 tests from BlobMathTest/1 (0 ms total)
[----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] NetTest/1.TestComboLossWeight
[ OK ] NetTest/1.TestComboLossWeight (6 ms)
[ RUN ] NetTest/1.TestGetBlob
[ OK ] NetTest/1.TestGetBlob (16 ms)
[ RUN ] NetTest/1.TestBottomNeedBackward
[ OK ] NetTest/1.TestBottomNeedBackward (16 ms)
[ RUN ] NetTest/1.TestUnsharedWeightsDiffNet
[ OK ] NetTest/1.TestUnsharedWeightsDiffNet (16 ms)
[ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce
[ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms)
[ RUN ] NetTest/1.TestSharedWeightsDataNet
[ OK ] NetTest/1.TestSharedWeightsDataNet (16 ms)
[ RUN ] NetTest/1.TestForcePropagateDown
[ OK ] NetTest/1.TestForcePropagateDown (31 ms)
[ RUN ] NetTest/1.TestAllInOneNetDeploy
[ OK ] NetTest/1.TestAllInOneNetDeploy (9 ms)
[ RUN ] NetTest/1.TestSkipPropagateDown
[ OK ] NetTest/1.TestSkipPropagateDown (48 ms)
[ RUN ] NetTest/1.TestParamPropagateDown
[ OK ] NetTest/1.TestParamPropagateDown (68 ms)
[ RUN ] NetTest/1.TestHasBlob
[ OK ] NetTest/1.TestHasBlob (15 ms)
[ RUN ] NetTest/1.TestAllInOneNetTrain
[ OK ] NetTest/1.TestAllInOneNetTrain (9 ms)
[ RUN ] NetTest/1.TestSharedWeightsUpdate
[ OK ] NetTest/1.TestSharedWeightsUpdate (32 ms)
[ RUN ] NetTest/1.TestGetLayerByName
[ OK ] NetTest/1.TestGetLayerByName (23 ms)
[ RUN ] NetTest/1.TestReshape
[ OK ] NetTest/1.TestReshape (2 ms)
[ RUN ] NetTest/1.TestFromTo
[ OK ] NetTest/1.TestFromTo (7 ms)
[ RUN ] NetTest/1.TestHasLayer
[ OK ] NetTest/1.TestHasLayer (2 ms)
[ RUN ] NetTest/1.TestAllInOneNetVal
[ OK ] NetTest/1.TestAllInOneNetVal (6 ms)
[ RUN ] NetTest/1.TestBottomNeedBackwardForce
[ OK ] NetTest/1.TestBottomNeedBackwardForce (2 ms)
[ RUN ] NetTest/1.TestBottomNeedBackwardTricky
[ OK ] NetTest/1.TestBottomNeedBackwardTricky (2 ms)
[ RUN ] NetTest/1.TestLossWeight
[ OK ] NetTest/1.TestLossWeight (23 ms)
[ RUN ] NetTest/1.TestLossWeightMidNet
[ OK ] NetTest/1.TestLossWeightMidNet (34 ms)
[ RUN ] NetTest/1.TestUnsharedWeightsDataNet
[ OK ] NetTest/1.TestUnsharedWeightsDataNet (2 ms)
[ RUN ] NetTest/1.TestSharedWeightsDiffNet
[ OK ] NetTest/1.TestSharedWeightsDiffNet (17 ms)
[ RUN ] NetTest/1.TestSharedWeightsResume
[ OK ] NetTest/1.TestSharedWeightsResume (2 ms)
[ RUN ] NetTest/1.TestBackwardWithAccuracyLayer
[ OK ] NetTest/1.TestBackwardWithAccuracyLayer (20 ms)
[----------] 26 tests from NetTest/1 (425 ms total)
[----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] PoolingLayerTest/0.TestSetupPadded
[ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms)
[ RUN ] PoolingLayerTest/0.TestForwardMax
[ OK ] PoolingLayerTest/0.TestForwardMax (1 ms)
[ RUN ] PoolingLayerTest/0.TestForwardAve
[ OK ] PoolingLayerTest/0.TestForwardAve (0 ms)
[ RUN ] PoolingLayerTest/0.TestGradientMax
[ OK ] PoolingLayerTest/0.TestGradientMax (1284 ms)
[ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask
[ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (970 ms)
[ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling
[ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms)
[ RUN ] PoolingLayerTest/0.TestGradientAvePadded
[ OK ] PoolingLayerTest/0.TestGradientAvePadded (1513 ms)
[ RUN ] PoolingLayerTest/0.TestForwardMaxPadded
[ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms)
[ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask
[ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms)
[ RUN ] PoolingLayerTest/0.TestSetup
[ OK ] PoolingLayerTest/0.TestSetup (0 ms)
[ RUN ] PoolingLayerTest/0.TestGradientAve
[ OK ] PoolingLayerTest/0.TestGradientAve (374 ms)
[----------] 11 tests from PoolingLayerTest/0 (4142 ms total)
[----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis
[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms)
[ RUN ] ReshapeLayerTest/0.TestCopyDimensions
[ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms)
[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart
[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms)
[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd
[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms)
[ RUN ] ReshapeLayerTest/0.TestFlattenMiddle
[ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms)
[ RUN ] ReshapeLayerTest/0.TestGradient
[ OK ] ReshapeLayerTest/0.TestGradient (4 ms)
[ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes
[ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms)
[ RUN ] ReshapeLayerTest/0.TestFlattenValues
[ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms)
[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle
[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms)
[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified
[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms)
[ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape
[ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms)
[ RUN ] ReshapeLayerTest/0.TestForward
[ OK ] ReshapeLayerTest/0.TestForward (0 ms)
[----------] 12 tests from ReshapeLayerTest/0 (5 ms total)
[----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] MaxPoolingDropoutTest/1.TestBackward
[ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms)
[ RUN ] MaxPoolingDropoutTest/1.TestForward
[ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms)
[ RUN ] MaxPoolingDropoutTest/1.TestSetup
[ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms)
[----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total)
[----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SolverFactoryTest/0.TestCreateSolver
[ OK ] SolverFactoryTest/0.TestCreateSolver (3 ms)
[----------] 1 test from SolverFactoryTest/0 (3 ms total)
[----------] 2 tests from CommonTest
[ RUN ] CommonTest.TestBrewMode
[ OK ] CommonTest.TestBrewMode (0 ms)
[ RUN ] CommonTest.TestRandSeedCPU
[ OK ] CommonTest.TestRandSeedCPU (0 ms)
[----------] 2 tests from CommonTest (0 ms total)
[----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate
[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (29 ms)
[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter
[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (164 ms)
[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum
[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (67 ms)
[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (37 ms)
[ RUN ] AdaDeltaSolverTest/1.TestSnapshot
[ OK ] AdaDeltaSolverTest/1.TestSnapshot (250 ms)
[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare
[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (200 ms)
[ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare
[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (47 ms)
[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum
[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (81 ms)
[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay
[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (27 ms)
[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything
[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (176 ms)
[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms)
[----------] 11 tests from AdaDeltaSolverTest/1 (1083 ms total)
[----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] FilterLayerTest/0.TestGradient
[ OK ] FilterLayerTest/0.TestGradient (372 ms)
[ RUN ] FilterLayerTest/0.TestForward
[ OK ] FilterLayerTest/0.TestForward (0 ms)
[ RUN ] FilterLayerTest/0.TestReshape
[ OK ] FilterLayerTest/0.TestReshape (0 ms)
[----------] 3 tests from FilterLayerTest/0 (372 ms total)
[----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] MVNLayerTest/0.TestForwardMeanOnly
[ OK ] MVNLayerTest/0.TestForwardMeanOnly (1 ms)
[ RUN ] MVNLayerTest/0.TestGradientAcrossChannels
[ OK ] MVNLayerTest/0.TestGradientAcrossChannels (496 ms)
[ RUN ] MVNLayerTest/0.TestGradient
[ OK ] MVNLayerTest/0.TestGradient (488 ms)
[ RUN ] MVNLayerTest/0.TestGradientMeanOnly
[ OK ] MVNLayerTest/0.TestGradientMeanOnly (148 ms)
[ RUN ] MVNLayerTest/0.TestForward
[ OK ] MVNLayerTest/0.TestForward (1 ms)
[ RUN ] MVNLayerTest/0.TestForwardAcrossChannels
[ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms)
[----------] 6 tests from MVNLayerTest/0 (1135 ms total)
[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ConvolutionLayerTest/0.Test1x1Convolution
[ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms)
[ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution
[ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (3 ms)
[ RUN ] ConvolutionLayerTest/0.TestGradientGroup
[ OK ] ConvolutionLayerTest/0.TestGradientGroup (31 ms)
[ RUN ] ConvolutionLayerTest/0.TestGradient3D
[ OK ] ConvolutionLayerTest/0.TestGradient3D (1113 ms)
[ RUN ] ConvolutionLayerTest/0.Test0DConvolution
[ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms)
[ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution
[ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (17 ms)
[ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution
[ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (2 ms)
[ RUN ] ConvolutionLayerTest/0.Test1x1Gradient
[ OK ] ConvolutionLayerTest/0.Test1x1Gradient (873 ms)
[ RUN ] ConvolutionLayerTest/0.TestGradient
[ OK ] ConvolutionLayerTest/0.TestGradient (119 ms)
[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup
[ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (1 ms)
[ RUN ] ConvolutionLayerTest/0.TestSetup
[ OK ] ConvolutionLayerTest/0.TestSetup (0 ms)
[ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D
[ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (611 ms)
[ RUN ] ConvolutionLayerTest/0.TestDilatedGradient
[ OK ] ConvolutionLayerTest/0.TestDilatedGradient (27 ms)
[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution
[ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (1 ms)
[ RUN ] ConvolutionLayerTest/0.TestSobelConvolution
[ OK ] ConvolutionLayerTest/0.TestSobelConvolution (15 ms)
[----------] 15 tests from ConvolutionLayerTest/0 (2813 ms total)
[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] TanHLayerTest/1.TestTanH
[ OK ] TanHLayerTest/1.TestTanH (0 ms)
[ RUN ] TanHLayerTest/1.TestTanHOverflow
[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms)
[ RUN ] TanHLayerTest/1.TestTanHGradient
[ OK ] TanHLayerTest/1.TestTanHGradient (9 ms)
[----------] 3 tests from TanHLayerTest/1 (9 ms total)
[----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SolverTest/0.TestInitTrainTestNets
[ OK ] SolverTest/0.TestInitTrainTestNets (2 ms)
[----------] 1 test from SolverTest/0 (2 ms total)
[----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] NetTest/0.TestSharedWeightsDataNet
[ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms)
[ RUN ] NetTest/0.TestSharedWeightsDiffNet
[ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms)
[ RUN ] NetTest/0.TestGetLayerByName
[ OK ] NetTest/0.TestGetLayerByName (7 ms)
[ RUN ] NetTest/0.TestBottomNeedBackwardTricky
[ OK ] NetTest/0.TestBottomNeedBackwardTricky (18 ms)
[ RUN ] NetTest/0.TestGetBlob
[ OK ] NetTest/0.TestGetBlob (22 ms)
[ RUN ] NetTest/0.TestAllInOneNetDeploy
[ OK ] NetTest/0.TestAllInOneNetDeploy (3 ms)
[ RUN ] NetTest/0.TestComboLossWeight
[ OK ] NetTest/0.TestComboLossWeight (74 ms)
[ RUN ] NetTest/0.TestSkipPropagateDown
[ OK ] NetTest/0.TestSkipPropagateDown (3 ms)
[ RUN ] NetTest/0.TestAllInOneNetVal
[ OK ] NetTest/0.TestAllInOneNetVal (2 ms)
[ RUN ] NetTest/0.TestHasBlob
[ OK ] NetTest/0.TestHasBlob (2 ms)
[ RUN ] NetTest/0.TestBottomNeedBackwardForce
[ OK ] NetTest/0.TestBottomNeedBackwardForce (16 ms)
[ RUN ] NetTest/0.TestFromTo
[ OK ] NetTest/0.TestFromTo (7 ms)
[ RUN ] NetTest/0.TestSharedWeightsResume
[ OK ] NetTest/0.TestSharedWeightsResume (7 ms)
[ RUN ] NetTest/0.TestAllInOneNetTrain
[ OK ] NetTest/0.TestAllInOneNetTrain (11 ms)
[ RUN ] NetTest/0.TestLossWeight
[ OK ] NetTest/0.TestLossWeight (14 ms)
[ RUN ] NetTest/0.TestUnsharedWeightsDiffNet
[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (2 ms)
[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer
[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (17 ms)
[ RUN ] NetTest/0.TestSharedWeightsUpdate
[ OK ] NetTest/0.TestSharedWeightsUpdate (31 ms)
[ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce
[ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms)
[ RUN ] NetTest/0.TestHasLayer
[ OK ] NetTest/0.TestHasLayer (16 ms)
[ RUN ] NetTest/0.TestParamPropagateDown
[ OK ] NetTest/0.TestParamPropagateDown (63 ms)
[ RUN ] NetTest/0.TestReshape
[ OK ] NetTest/0.TestReshape (17 ms)
[ RUN ] NetTest/0.TestBottomNeedBackward
[ OK ] NetTest/0.TestBottomNeedBackward (15 ms)
[ RUN ] NetTest/0.TestForcePropagateDown
[ OK ] NetTest/0.TestForcePropagateDown (15 ms)
[ RUN ] NetTest/0.TestLossWeightMidNet
[ OK ] NetTest/0.TestLossWeightMidNet (136 ms)
[ RUN ] NetTest/0.TestUnsharedWeightsDataNet
[ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms)
[----------] 26 tests from NetTest/0 (503 ms total)
[----------] 4 tests from NetUpgradeTest
[ RUN ] NetUpgradeTest.TestImageNet
[ OK ] NetUpgradeTest.TestImageNet (5 ms)
[ RUN ] NetUpgradeTest.TestUpgradeV1LayerType
[ OK ] NetUpgradeTest.TestUpgradeV1LayerType (100 ms)
[ RUN ] NetUpgradeTest.TestAllParams
[ OK ] NetUpgradeTest.TestAllParams (3 ms)
[ RUN ] NetUpgradeTest.TestSimple
[ OK ] NetUpgradeTest.TestSimple (1 ms)
[----------] 4 tests from NetUpgradeTest (111 ms total)
[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SliceLayerTest/0.TestSliceAcrossChannels
[ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms)
[ RUN ] SliceLayerTest/0.TestTrivialSlice
[ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms)
[ RUN ] SliceLayerTest/0.TestSetupChannels
[ OK ] SliceLayerTest/0.TestSetupChannels (0 ms)
[ RUN ] SliceLayerTest/0.TestGradientAcrossNum
[ OK ] SliceLayerTest/0.TestGradientAcrossNum (56 ms)
[ RUN ] SliceLayerTest/0.TestSetupNum
[ OK ] SliceLayerTest/0.TestSetupNum (0 ms)
[ RUN ] SliceLayerTest/0.TestSliceAcrossNum
[ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms)
[ RUN ] SliceLayerTest/0.TestGradientTrivial
[ OK ] SliceLayerTest/0.TestGradientTrivial (17 ms)
[ RUN ] SliceLayerTest/0.TestGradientAcrossChannels
[ OK ] SliceLayerTest/0.TestGradientAcrossChannels (58 ms)
[----------] 8 tests from SliceLayerTest/0 (131 ms total)
[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] MVNLayerTest/1.TestForward
[ OK ] MVNLayerTest/1.TestForward (0 ms)
[ RUN ] MVNLayerTest/1.TestGradient
[ OK ] MVNLayerTest/1.TestGradient (464 ms)
[ RUN ] MVNLayerTest/1.TestForwardAcrossChannels
[ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms)
[ RUN ] MVNLayerTest/1.TestGradientAcrossChannels
[ OK ] MVNLayerTest/1.TestGradientAcrossChannels (451 ms)
[ RUN ] MVNLayerTest/1.TestGradientMeanOnly
[ OK ] MVNLayerTest/1.TestGradientMeanOnly (158 ms)
[ RUN ] MVNLayerTest/1.TestForwardMeanOnly
[ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms)
[----------] 6 tests from MVNLayerTest/1 (1073 ms total)
[----------] 12 tests from DataTransformTest/1, where TypeParam = double
[ RUN ] DataTransformTest/1.TestCropMirrorTest
[ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms)
[ RUN ] DataTransformTest/1.TestMeanValues
[ OK ] DataTransformTest/1.TestMeanValues (0 ms)
[ RUN ] DataTransformTest/1.TestCropSize
[ OK ] DataTransformTest/1.TestCropSize (0 ms)
[ RUN ] DataTransformTest/1.TestCropTrain
[ OK ] DataTransformTest/1.TestCropTrain (0 ms)
[ RUN ] DataTransformTest/1.TestMirrorTest
[ OK ] DataTransformTest/1.TestMirrorTest (0 ms)
[ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels
[ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (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.TestEmptyTransform
[ OK ] DataTransformTest/1.TestEmptyTransform (0 ms)
[ RUN ] DataTransformTest/1.TestCropMirrorTrain
[ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms)
[ RUN ] DataTransformTest/1.TestMirrorTrain
[ OK ] DataTransformTest/1.TestMirrorTrain (1 ms)
[ RUN ] DataTransformTest/1.TestMeanFile
[ OK ] DataTransformTest/1.TestMeanFile (9 ms)
[----------] 12 tests from DataTransformTest/1 (10 ms total)
[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB
[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (174 ms)
[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB
[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (152 ms)
[ RUN ] DataLayerTest/1.TestReshapeLevelDB
[ OK ] DataLayerTest/1.TestReshapeLevelDB (73 ms)
[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB
[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (25 ms)
[ RUN ] DataLayerTest/1.TestReadLevelDB
[ OK ] DataLayerTest/1.TestReadLevelDB (67 ms)
[ RUN ] DataLayerTest/1.TestSkipLMDB
[ OK ] DataLayerTest/1.TestSkipLMDB (95 ms)
[ RUN ] DataLayerTest/1.TestReadCropTrainLMDB
[ OK ] DataLayerTest/1.TestReadCropTrainLMDB (30 ms)
[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB
[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (110 ms)
[ RUN ] DataLayerTest/1.TestReadLMDB
[ OK ] DataLayerTest/1.TestReadLMDB (66 ms)
[ RUN ] DataLayerTest/1.TestReshapeLMDB
[ OK ] DataLayerTest/1.TestReshapeLMDB (136 ms)
[ RUN ] DataLayerTest/1.TestReadCropTestLevelDB
[ OK ] DataLayerTest/1.TestReadCropTestLevelDB (150 ms)
[ RUN ] DataLayerTest/1.TestSkipLevelDB
[ OK ] DataLayerTest/1.TestSkipLevelDB (309 ms)
[ RUN ] DataLayerTest/1.TestReadCropTestLMDB
[ OK ] DataLayerTest/1.TestReadCropTestLMDB (17 ms)
[ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB
[ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (70 ms)
[----------] 14 tests from DataLayerTest/1 (1474 ms total)
[----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] NeuronLayerTest/1.TestLogGradientBase2
[ OK ] NeuronLayerTest/1.TestLogGradientBase2 (14 ms)
[ RUN ] NeuronLayerTest/1.TestClipGradient
[ OK ] NeuronLayerTest/1.TestClipGradient (5 ms)
[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3
[ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1
[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms)
[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3
[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms)
[ RUN ] NeuronLayerTest/1.TestDropoutHalf
[ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared
[ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (218 ms)
[ RUN ] NeuronLayerTest/1.TestBNLLGradient
[ OK ] NeuronLayerTest/1.TestBNLLGradient (13 ms)
[ RUN ] NeuronLayerTest/1.TestDropoutTestPhase
[ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms)
[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1
[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (7 ms)
[ RUN ] NeuronLayerTest/1.TestReLUGradient
[ OK ] NeuronLayerTest/1.TestReLUGradient (3 ms)
[ RUN ] NeuronLayerTest/1.TestSwishGradient
[ OK ] NeuronLayerTest/1.TestSwishGradient (9 ms)
[ RUN ] NeuronLayerTest/1.TestSigmoidGradient
[ OK ] NeuronLayerTest/1.TestSigmoidGradient (8 ms)
[ RUN ] NeuronLayerTest/1.TestSwishWithBeta
[ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms)
[ RUN ] NeuronLayerTest/1.TestBNLL
[ OK ] NeuronLayerTest/1.TestBNLL (0 ms)
[ RUN ] NeuronLayerTest/1.TestTanHGradient
[ OK ] NeuronLayerTest/1.TestTanHGradient (9 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared
[ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUGradient
[ OK ] NeuronLayerTest/1.TestPReLUGradient (220 ms)
[ RUN ] NeuronLayerTest/1.TestExpLayer
[ OK ] NeuronLayerTest/1.TestExpLayer (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogGradient
[ OK ] NeuronLayerTest/1.TestLogGradient (8 ms)
[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3
[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (7 ms)
[ RUN ] NeuronLayerTest/1.TestExpLayerWithShift
[ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3
[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogLayerBase2
[ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms)
[ RUN ] NeuronLayerTest/1.TestExpGradient
[ OK ] NeuronLayerTest/1.TestExpGradient (7 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUInPlace
[ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms)
[ RUN ] NeuronLayerTest/1.TestELUGradient
[ OK ] NeuronLayerTest/1.TestELUGradient (5 ms)
[ RUN ] NeuronLayerTest/1.TestDropoutGradientTest
[ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms)
[ RUN ] NeuronLayerTest/1.TestExpGradientWithShift
[ OK ] NeuronLayerTest/1.TestExpGradientWithShift (7 ms)
[ RUN ] NeuronLayerTest/1.TestTanH
[ OK ] NeuronLayerTest/1.TestTanH (0 ms)
[ RUN ] NeuronLayerTest/1.TestExpGradientBase2
[ OK ] NeuronLayerTest/1.TestExpGradientBase2 (7 ms)
[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1
[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (9 ms)
[ RUN ] NeuronLayerTest/1.TestAbsGradient
[ OK ] NeuronLayerTest/1.TestAbsGradient (2 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUParam
[ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUForward
[ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms)
[ RUN ] NeuronLayerTest/1.TestReLU
[ OK ] NeuronLayerTest/1.TestReLU (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3
[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (9 ms)
[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3
[ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms)
[ RUN ] NeuronLayerTest/1.TestELUasReLU
[ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms)
[ RUN ] NeuronLayerTest/1.TestSwishAsLinear
[ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms)
[ RUN ] NeuronLayerTest/1.TestELUasReLUGradient
[ OK ] NeuronLayerTest/1.TestELUasReLUGradient (4 ms)
[ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient
[ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (9 ms)
[ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters
[ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms)
[ RUN ] NeuronLayerTest/1.TestDropoutGradient
[ OK ] NeuronLayerTest/1.TestDropoutGradient (7 ms)
[ RUN ] NeuronLayerTest/1.TestClip
[ OK ] NeuronLayerTest/1.TestClip (0 ms)
[ RUN ] NeuronLayerTest/1.TestSigmoid
[ OK ] NeuronLayerTest/1.TestSigmoid (0 ms)
[ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope
[ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms)
[ RUN ] NeuronLayerTest/1.TestAbsVal
[ OK ] NeuronLayerTest/1.TestAbsVal (0 ms)
[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3
[ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (7 ms)
[ RUN ] NeuronLayerTest/1.TestSwish
[ OK ] NeuronLayerTest/1.TestSwish (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3
[ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (9 ms)
[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1
[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms)
[ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU
[ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms)
[ RUN ] NeuronLayerTest/1.TestLogLayer
[ OK ] NeuronLayerTest/1.TestLogLayer (1 ms)
[ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient
[ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (4 ms)
[ RUN ] NeuronLayerTest/1.TestELU
[ OK ] NeuronLayerTest/1.TestELU (0 ms)
[ RUN ] NeuronLayerTest/1.TestExpLayerBase2
[ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms)
[ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope
[ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms)
[----------] 58 tests from NeuronLayerTest/1 (614 ms total)
[----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float
[ RUN ] ArgMaxLayerTest/0.TestSetup
[ OK ] ArgMaxLayerTest/0.TestSetup (1 ms)
[ RUN ] ArgMaxLayerTest/0.TestSetupAxis
[ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms)
[ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal
[ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal
[ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK
[ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (68 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPU
[ OK ] ArgMaxLayerTest/0.TestCPU (1 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK
[ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (65 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK
[ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (2 ms)
[ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing
[ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPUAxis
[ OK ] ArgMaxLayerTest/0.TestCPUAxis (17 ms)
[ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal
[ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms)
[ RUN ] ArgMaxLayerTest/0.TestCPUTopK
[ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms)
[----------] 12 tests from ArgMaxLayerTest/0 (159 ms total)
[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient
[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (2 ms)
[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient
[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms)
[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss
[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms)
[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (4 ms total)
[----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] InfogainLossLayerTest/0.TestGradient
[ OK ] InfogainLossLayerTest/0.TestGradient (3 ms)
[ RUN ] InfogainLossLayerTest/0.TestInfogainLoss
[ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms)
[----------] 2 tests from InfogainLossLayerTest/0 (3 ms total)
[----------] 2 tests from BilinearFillerTest/1, where TypeParam = double
[ RUN ] BilinearFillerTest/1.TestFillOdd
[ OK ] BilinearFillerTest/1.TestFillOdd (17 ms)
[ RUN ] BilinearFillerTest/1.TestFillEven
[ OK ] BilinearFillerTest/1.TestFillEven (13 ms)
[----------] 2 tests from BilinearFillerTest/1 (30 ms total)
[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam
[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms)
[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle
[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (150 ms)
[ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd
[ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (281 ms)
[ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam
[ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (520 ms)
[ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2
[ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms)
[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle
[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (1 ms)
[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace
[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms)
[ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace
[ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms)
[ RUN ] ScaleLayerTest/0.TestForwardEltwise
[ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms)
[ RUN ] ScaleLayerTest/0.TestGradientScale
[ OK ] ScaleLayerTest/0.TestGradientScale (108 ms)
[ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd
[ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms)
[ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2
[ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (117 ms)
[ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin
[ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms)
[ RUN ] ScaleLayerTest/0.TestGradientEltwise
[ OK ] ScaleLayerTest/0.TestGradientEltwise (8 ms)
[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam
[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (150 ms)
[ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin
[ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (129 ms)
[ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias
[ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (149 ms)
[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias
[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms)
[ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace
[ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms)
[ RUN ] ScaleLayerTest/0.TestForwardScale
[ OK ] ScaleLayerTest/0.TestForwardScale (0 ms)
[ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace
[ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms)
[ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam
[ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms)
[----------] 22 tests from ScaleLayerTest/0 (1614 ms total)
[----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float
[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2
[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (1 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2
[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian
[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli
[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli
[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (1 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform
[ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2
[ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (1 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli
[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform
[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (1 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian
[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms)
[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli
[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms)
[----------] 11 tests from RandomNumberGeneratorTest/0 (7 ms total)
[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont
[ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (101 ms)
[ RUN ] LSTMLayerTest/1.TestGradient
[ OK ] LSTMLayerTest/1.TestGradient (553 ms)
[ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp
[ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms)
[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput
[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (6016 ms)
[ RUN ] LSTMLayerTest/1.TestSetUp
[ OK ] LSTMLayerTest/1.TestSetUp (7 ms)
[ RUN ] LSTMLayerTest/1.TestForward
[ OK ] LSTMLayerTest/1.TestForward (8 ms)
[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2
[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (1047 ms)
[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient
[ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (119 ms)
[ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont
[ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (533 ms)
[----------] 9 tests from LSTMLayerTest/1 (8384 ms total)
[----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] PoolingLayerTest/1.TestGradientMax
[ OK ] PoolingLayerTest/1.TestGradientMax (1311 ms)
[ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling
[ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms)
[ RUN ] PoolingLayerTest/1.TestForwardMax
[ OK ] PoolingLayerTest/1.TestForwardMax (0 ms)
[ RUN ] PoolingLayerTest/1.TestForwardAve
[ OK ] PoolingLayerTest/1.TestForwardAve (0 ms)
[ RUN ] PoolingLayerTest/1.TestGradientAvePadded
[ OK ] PoolingLayerTest/1.TestGradientAvePadded (1626 ms)
[ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask
[ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (1056 ms)
[ RUN ] PoolingLayerTest/1.TestSetup
[ OK ] PoolingLayerTest/1.TestSetup (0 ms)
[ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask
[ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms)
[ RUN ] PoolingLayerTest/1.TestGradientAve
[ OK ] PoolingLayerTest/1.TestGradientAve (377 ms)
[ RUN ] PoolingLayerTest/1.TestForwardMaxPadded
[ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms)
[ RUN ] PoolingLayerTest/1.TestSetupPadded
[ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms)
[----------] 11 tests from PoolingLayerTest/1 (4371 ms total)
[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] LRNLayerTest/0.TestForwardWithinChannel
[ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms)
[ RUN ] LRNLayerTest/0.TestGradientAcrossChannels
[ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1363 ms)
[ RUN ] LRNLayerTest/0.TestSetupWithinChannel
[ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms)
[ RUN ] LRNLayerTest/0.TestGradientWithinChannel
[ OK ] LRNLayerTest/0.TestGradientWithinChannel (1242 ms)
[ RUN ] LRNLayerTest/0.TestForwardAcrossChannels
[ OK ] LRNLayerTest/0.TestForwardAcrossChannels (1 ms)
[ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion
[ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1775 ms)
[ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion
[ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (1 ms)
[ RUN ] LRNLayerTest/0.TestSetupAcrossChannels
[ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms)
[----------] 8 tests from LRNLayerTest/0 (4382 ms total)
[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] RNNLayerTest/1.TestForward
[ OK ] RNNLayerTest/1.TestForward (176 ms)
[ RUN ] RNNLayerTest/1.TestSetUp
[ OK ] RNNLayerTest/1.TestSetUp (32 ms)
[ RUN ] RNNLayerTest/1.TestGradientNonZeroCont
[ OK ] RNNLayerTest/1.TestGradientNonZeroCont (243 ms)
[ RUN ] RNNLayerTest/1.TestGradient
[ OK ] RNNLayerTest/1.TestGradient (226 ms)
[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput
[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1639 ms)
[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2
[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (336 ms)
[----------] 6 tests from RNNLayerTest/1 (2653 ms total)
[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ReductionLayerTest/1.TestSumCoeff
[ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms)
[ RUN ] ReductionLayerTest/1.TestSumOfSquares
[ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms)
[ RUN ] ReductionLayerTest/1.TestSumGradient
[ OK ] ReductionLayerTest/1.TestSumGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestAbsSumCoeff
[ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms)
[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient
[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient
[ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1
[ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms)
[ RUN ] ReductionLayerTest/1.TestMeanGradient
[ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestMean
[ OK ] ReductionLayerTest/1.TestMean (0 ms)
[ RUN ] ReductionLayerTest/1.TestSetUp
[ OK ] ReductionLayerTest/1.TestSetUp (0 ms)
[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient
[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms)
[ RUN ] ReductionLayerTest/1.TestAbsSum
[ OK ] ReductionLayerTest/1.TestAbsSum (0 ms)
[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff
[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms)
[ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient
[ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1
[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms)
[ RUN ] ReductionLayerTest/1.TestAbsSumGradient
[ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestSumCoeffGradient
[ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1
[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms)
[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient
[ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms)
[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2
[ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms)
[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1
[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms)
[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1
[ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (2 ms)
[ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1
[ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms)
[ RUN ] ReductionLayerTest/1.TestMeanCoeff
[ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms)
[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient
[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms)
[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient
[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms)
[ RUN ] ReductionLayerTest/1.TestSum
[ OK ] ReductionLayerTest/1.TestSum (0 ms)
[----------] 27 tests from ReductionLayerTest/1 (14 ms total)
[----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] EltwiseLayerTest/1.TestSetUp
[ OK ] EltwiseLayerTest/1.TestSetUp (0 ms)
[ RUN ] EltwiseLayerTest/1.TestStableProdGradient
[ OK ] EltwiseLayerTest/1.TestStableProdGradient (7 ms)
[ RUN ] EltwiseLayerTest/1.TestMaxGradient
[ OK ] EltwiseLayerTest/1.TestMaxGradient (7 ms)
[ RUN ] EltwiseLayerTest/1.TestSumGradient
[ OK ] EltwiseLayerTest/1.TestSumGradient (7 ms)
[ RUN ] EltwiseLayerTest/1.TestSum
[ OK ] EltwiseLayerTest/1.TestSum (0 ms)
[ RUN ] EltwiseLayerTest/1.TestMax
[ OK ] EltwiseLayerTest/1.TestMax (0 ms)
[ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient
[ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (7 ms)
[ RUN ] EltwiseLayerTest/1.TestProd
[ OK ] EltwiseLayerTest/1.TestProd (0 ms)
[ RUN ] EltwiseLayerTest/1.TestSumCoeff
[ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms)
[ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient
[ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (6 ms)
[----------] 10 tests from EltwiseLayerTest/1 (34 ms total)
[----------] 3 tests from SyncedMemoryTest
[ RUN ] SyncedMemoryTest.TestCPUWrite
[ OK ] SyncedMemoryTest.TestCPUWrite (0 ms)
[ RUN ] SyncedMemoryTest.TestAllocationCPU
[ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms)
[ RUN ] SyncedMemoryTest.TestInitialization
[ OK ] SyncedMemoryTest.TestInitialization (0 ms)
[----------] 3 tests from SyncedMemoryTest (0 ms total)
[----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient
[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestSum
[ OK ] ReductionLayerTest/0.TestSum (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1
[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumCoeffGradient
[ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestMean
[ OK ] ReductionLayerTest/0.TestMean (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumGradient
[ OK ] ReductionLayerTest/0.TestSumGradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestMeanCoeff
[ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms)
[ RUN ] ReductionLayerTest/0.TestAbsSumGradient
[ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2
[ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms)
[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient
[ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestAbsSum
[ OK ] ReductionLayerTest/0.TestAbsSum (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff
[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient
[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms)
[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient
[ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumOfSquares
[ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms)
[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1
[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (1 ms)
[ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient
[ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (0 ms)
[ RUN ] ReductionLayerTest/0.TestMeanGradient
[ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient
[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms)
[ RUN ] ReductionLayerTest/0.TestSetUp
[ OK ] ReductionLayerTest/0.TestSetUp (0 ms)
[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1
[ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms)
[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1
[ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms)
[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1
[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms)
[ RUN ] ReductionLayerTest/0.TestSumCoeff
[ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms)
[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient
[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms)
[ RUN ] ReductionLayerTest/0.TestAbsSumCoeff
[ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms)
[ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1
[ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms)
[----------] 27 tests from ReductionLayerTest/0 (14 ms total)
[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] BatchNormLayerTest/0.TestForwardInplace
[ OK ] BatchNormLayerTest/0.TestForwardInplace (1 ms)
[ RUN ] BatchNormLayerTest/0.TestForward
[ OK ] BatchNormLayerTest/0.TestForward (0 ms)
[ RUN ] BatchNormLayerTest/0.TestGradient
[ OK ] BatchNormLayerTest/0.TestGradient (242 ms)
[----------] 3 tests from BatchNormLayerTest/0 (243 ms total)
[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (178 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (312 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (163 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (72 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (97 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (384 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (197 ms)
[ RUN ] SGDSolverTest/1.TestSnapshotShare
[ OK ] SGDSolverTest/1.TestSnapshotShare (136 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (17 ms)
[ RUN ] SGDSolverTest/1.TestSnapshot
[ OK ] SGDSolverTest/1.TestSnapshot (475 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms)
[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter
[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (2077 ms)
[----------] 12 tests from SGDSolverTest/1 (4115 ms total)
[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] AdamSolverTest/1.TestSnapshot
[ OK ] AdamSolverTest/1.TestSnapshot (324 ms)
[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare
[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (263 ms)
[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate
[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (38 ms)
[ RUN ] AdamSolverTest/1.TestSnapshotShare
[ OK ] AdamSolverTest/1.TestSnapshotShare (134 ms)
[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (19 ms)
[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay
[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (33 ms)
[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything
[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (196 ms)
[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms)
[----------] 8 tests from AdamSolverTest/1 (1014 ms total)
[----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] ThresholdLayerTest/0.Test2
[ OK ] ThresholdLayerTest/0.Test2 (0 ms)
[ RUN ] ThresholdLayerTest/0.Test
[ OK ] ThresholdLayerTest/0.Test (0 ms)
[ RUN ] ThresholdLayerTest/0.TestSetup
[ OK ] ThresholdLayerTest/0.TestSetup (0 ms)
[----------] 3 tests from ThresholdLayerTest/0 (0 ms total)
[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] Im2colLayerTest/1.TestGradientForceND
[ OK ] Im2colLayerTest/1.TestGradientForceND (954 ms)
[ RUN ] Im2colLayerTest/1.TestGradient
[ OK ] Im2colLayerTest/1.TestGradient (480 ms)
[ RUN ] Im2colLayerTest/1.TestRect
[ OK ] Im2colLayerTest/1.TestRect (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.TestForward
[ OK ] Im2colLayerTest/1.TestForward (0 ms)
[ RUN ] Im2colLayerTest/1.TestDilatedGradient
[ OK ] Im2colLayerTest/1.TestDilatedGradient (1430 ms)
[ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND
[ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (2468 ms)
[----------] 8 tests from Im2colLayerTest/1 (5707 ms total)
[----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double
[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli
[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli
[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian
[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (1 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2
[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2
[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (1 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform
[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (1 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli
[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian
[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2
[ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (1 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli
[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms)
[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform
[ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms)
[----------] 11 tests from RandomNumberGeneratorTest/1 (6 ms total)
[----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (113 ms)
[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms)
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (273 ms)
[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter
[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (125 ms)
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (155 ms)
[ RUN ] NesterovSolverTest/0.TestSnapshot
[ OK ] NesterovSolverTest/0.TestSnapshot (64 ms)
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (211 ms)
[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (4 ms)
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (27 ms)
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (26 ms)
[ RUN ] NesterovSolverTest/0.TestSnapshotShare
[ OK ] NesterovSolverTest/0.TestSnapshotShare (52 ms)
[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum
[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (61 ms)
[----------] 12 tests from NesterovSolverTest/0 (1121 ms total)
[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] RNNLayerTest/0.TestSetUp
[ OK ] RNNLayerTest/0.TestSetUp (2 ms)
[ RUN ] RNNLayerTest/0.TestGradientNonZeroCont
[ OK ] RNNLayerTest/0.TestGradientNonZeroCont (185 ms)
[ RUN ] RNNLayerTest/0.TestGradient
[ OK ] RNNLayerTest/0.TestGradient (222 ms)
[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2
[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (359 ms)
[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput
[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1807 ms)
[ RUN ] RNNLayerTest/0.TestForward
[ OK ] RNNLayerTest/0.TestForward (7 ms)
[----------] 6 tests from RNNLayerTest/0 (2582 ms total)
[----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float
[ RUN ] PositiveUnitballFillerTest/0.TestFill1D
[ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms)
[ RUN ] PositiveUnitballFillerTest/0.TestFill5D
[ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms)
[ RUN ] PositiveUnitballFillerTest/0.TestFill
[ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms)
[ RUN ] PositiveUnitballFillerTest/0.TestFill2D
[ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms)
[----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total)
[----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy
[ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms)
[ RUN ] ContrastiveLossLayerTest/1.TestGradient
[ OK ] ContrastiveLossLayerTest/1.TestGradient (396 ms)
[ RUN ] ContrastiveLossLayerTest/1.TestForward
[ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms)
[ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy
[ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (372 ms)
[----------] 4 tests from ContrastiveLossLayerTest/1 (768 ms total)
[----------] 6 tests from XavierFillerTest/1, where TypeParam = double
[ RUN ] XavierFillerTest/1.TestFillFanIn
[ OK ] XavierFillerTest/1.TestFillFanIn (160 ms)
[ RUN ] XavierFillerTest/1.TestFill2D
[ OK ] XavierFillerTest/1.TestFill2D (0 ms)
[ RUN ] XavierFillerTest/1.TestFillAverage
[ OK ] XavierFillerTest/1.TestFillAverage (163 ms)
[ RUN ] XavierFillerTest/1.TestFillFanOut
[ OK ] XavierFillerTest/1.TestFillFanOut (163 ms)
[ RUN ] XavierFillerTest/1.TestFill1D
[ OK ] XavierFillerTest/1.TestFill1D (0 ms)
[ RUN ] XavierFillerTest/1.TestFill5D
[ OK ] XavierFillerTest/1.TestFill5D (0 ms)
[----------] 6 tests from XavierFillerTest/1 (486 ms total)
[----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] InnerProductLayerTest/1.TestSetUp
[ OK ] InnerProductLayerTest/1.TestSetUp (0 ms)
[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue
[ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms)
[ RUN ] InnerProductLayerTest/1.TestForwardTranspose
[ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms)
[ RUN ] InnerProductLayerTest/1.TestGradientTranspose
[ OK ] InnerProductLayerTest/1.TestGradientTranspose (206 ms)
[ RUN ] InnerProductLayerTest/1.TestBackwardTranspose
[ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms)
[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse
[ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms)
[ RUN ] InnerProductLayerTest/1.TestGradient
[ OK ] InnerProductLayerTest/1.TestGradient (177 ms)
[ RUN ] InnerProductLayerTest/1.TestForward
[ OK ] InnerProductLayerTest/1.TestForward (0 ms)
[ RUN ] InnerProductLayerTest/1.TestForwardNoBatch
[ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms)
[----------] 9 tests from InnerProductLayerTest/1 (383 ms total)
[----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] HDF5OutputLayerTest/0.TestForward
[ OK ] HDF5OutputLayerTest/0.TestForward (24 ms)
[----------] 1 test from HDF5OutputLayerTest/0 (24 ms total)
[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] BlobMathTest/0.TestAsum
[ OK ] BlobMathTest/0.TestAsum (0 ms)
[ RUN ] BlobMathTest/0.TestSumOfSquares
[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms)
[ RUN ] BlobMathTest/0.TestScaleData
[ OK ] BlobMathTest/0.TestScaleData (0 ms)
[----------] 3 tests from BlobMathTest/0 (0 ms total)
[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SplitLayerTest/0.Test
[ OK ] SplitLayerTest/0.Test (0 ms)
[ RUN ] SplitLayerTest/0.TestGradient
[ OK ] SplitLayerTest/0.TestGradient (15 ms)
[ RUN ] SplitLayerTest/0.TestSetup
[ OK ] SplitLayerTest/0.TestSetup (0 ms)
[----------] 3 tests from SplitLayerTest/0 (15 ms total)
[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SoftmaxLayerTest/0.TestForward
[ OK ] SoftmaxLayerTest/0.TestForward (1 ms)
[ RUN ] SoftmaxLayerTest/0.TestGradient
[ OK ] SoftmaxLayerTest/0.TestGradient (275 ms)
[----------] 2 tests from SoftmaxLayerTest/0 (276 ms total)
[----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ImageDataLayerTest/1.TestReshape
[ OK ] ImageDataLayerTest/1.TestReshape (72 ms)
[ RUN ] ImageDataLayerTest/1.TestShuffle
[ OK ] ImageDataLayerTest/1.TestShuffle (190 ms)
[ RUN ] ImageDataLayerTest/1.TestRead
[ OK ] ImageDataLayerTest/1.TestRead (203 ms)
[ RUN ] ImageDataLayerTest/1.TestSpace
[ OK ] ImageDataLayerTest/1.TestSpace (77 ms)
[ RUN ] ImageDataLayerTest/1.TestResize
[ OK ] ImageDataLayerTest/1.TestResize (171 ms)
[----------] 5 tests from ImageDataLayerTest/1 (713 ms total)
[----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] ThresholdLayerTest/1.TestSetup
[ OK ] ThresholdLayerTest/1.TestSetup (0 ms)
[ RUN ] ThresholdLayerTest/1.Test2
[ OK ] ThresholdLayerTest/1.Test2 (0 ms)
[ RUN ] ThresholdLayerTest/1.Test
[ OK ] ThresholdLayerTest/1.Test (0 ms)
[----------] 3 tests from ThresholdLayerTest/1 (1 ms total)
[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] LRNLayerTest/1.TestSetupAcrossChannels
[ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms)
[ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion
[ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms)
[ RUN ] LRNLayerTest/1.TestSetupWithinChannel
[ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms)
[ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion
[ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (2413 ms)
[ RUN ] LRNLayerTest/1.TestGradientWithinChannel
[ OK ] LRNLayerTest/1.TestGradientWithinChannel (1778 ms)
[ RUN ] LRNLayerTest/1.TestForwardAcrossChannels
[ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms)
[ RUN ] LRNLayerTest/1.TestForwardWithinChannel
[ OK ] LRNLayerTest/1.TestForwardWithinChannel (1 ms)
[ RUN ] LRNLayerTest/1.TestGradientAcrossChannels
[ OK ] LRNLayerTest/1.TestGradientAcrossChannels (2022 ms)
[----------] 8 tests from LRNLayerTest/1 (6215 ms total)
[----------] 4 tests from GaussianFillerTest/1, where TypeParam = double
[ RUN ] GaussianFillerTest/1.TestFill
[ OK ] GaussianFillerTest/1.TestFill (0 ms)
[ RUN ] GaussianFillerTest/1.TestFill1D
[ OK ] GaussianFillerTest/1.TestFill1D (1 ms)
[ RUN ] GaussianFillerTest/1.TestFill2D
[ OK ] GaussianFillerTest/1.TestFill2D (0 ms)
[ RUN ] GaussianFillerTest/1.TestFill5D
[ OK ] GaussianFillerTest/1.TestFill5D (1 ms)
[----------] 4 tests from GaussianFillerTest/1 (2 ms total)
[----------] 26 tests from IOTest
[ RUN ] IOTest.TestDecodeDatumToCVMatNative
[ OK ] IOTest.TestDecodeDatumToCVMatNative (8 ms)
[ RUN ] IOTest.TestReadImageToDatumReferenceResized
[ OK ] IOTest.TestReadImageToDatumReferenceResized (11 ms)
[ RUN ] IOTest.TestDecodeDatumToCVMat
[ OK ] IOTest.TestDecodeDatumToCVMat (8 ms)
[ RUN ] IOTest.TestReadImageToDatumContentGray
[ OK ] IOTest.TestReadImageToDatumContentGray (8 ms)
[ RUN ] IOTest.TestReadImageToCVMatResizedGray
[ OK ] IOTest.TestReadImageToCVMatResizedGray (4 ms)
[ RUN ] IOTest.TestReadImageToDatumGray
[ OK ] IOTest.TestReadImageToDatumGray (4 ms)
[ RUN ] IOTest.TestReadImageToDatumResizedSquare
[ OK ] IOTest.TestReadImageToDatumResizedSquare (7 ms)
[ RUN ] IOTest.TestReadImageToCVMatResizedSquare
[ OK ] IOTest.TestReadImageToCVMatResizedSquare (6 ms)
[ RUN ] IOTest.TestReadImageToCVMatResized
[ OK ] IOTest.TestReadImageToCVMatResized (5 ms)
[ RUN ] IOTest.TestReadImageToDatumContent
[ OK ] IOTest.TestReadImageToDatumContent (15 ms)
[ RUN ] IOTest.TestDecodeDatum
[ OK ] IOTest.TestDecodeDatum (18 ms)
[ RUN ] IOTest.TestCVMatToDatum
[ OK ] IOTest.TestCVMatToDatum (8 ms)
[ RUN ] IOTest.TestReadImageToCVMatGray
[ OK ] IOTest.TestReadImageToCVMatGray (4 ms)
[ RUN ] IOTest.TestCVMatToDatumReference
[ OK ] IOTest.TestCVMatToDatumReference (20 ms)
[ RUN ] IOTest.TestCVMatToDatumContent
[ OK ] IOTest.TestCVMatToDatumContent (16 ms)
[ RUN ] IOTest.TestReadImageToDatumReference
[ OK ] IOTest.TestReadImageToDatumReference (17 ms)
[ RUN ] IOTest.TestDecodeDatumToCVMatContent
[ OK ] IOTest.TestDecodeDatumToCVMatContent (16 ms)
[ RUN ] IOTest.TestReadFileToDatum
[ OK ] IOTest.TestReadFileToDatum (0 ms)
[ RUN ] IOTest.TestReadImageToDatumResizedGray
[ OK ] IOTest.TestReadImageToDatumResizedGray (4 ms)
[ RUN ] IOTest.TestDecodeDatumNativeGray
[ OK ] IOTest.TestDecodeDatumNativeGray (8 ms)
[ RUN ] IOTest.TestDecodeDatumNative
[ OK ] IOTest.TestDecodeDatumNative (19 ms)
[ RUN ] IOTest.TestReadImageToDatumResized
[ OK ] IOTest.TestReadImageToDatumResized (6 ms)
[ RUN ] IOTest.TestReadImageToDatum
[ OK ] IOTest.TestReadImageToDatum (7 ms)
[ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray
[ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (3 ms)
[ RUN ] IOTest.TestDecodeDatumToCVMatContentNative
[ OK ] IOTest.TestDecodeDatumToCVMatContentNative (18 ms)
[ RUN ] IOTest.TestReadImageToCVMat
[ OK ] IOTest.TestReadImageToCVMat (6 ms)
[----------] 26 tests from IOTest (246 ms total)
[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] FlattenLayerTest/1.TestForward
[ OK ] FlattenLayerTest/1.TestForward (0 ms)
[ RUN ] FlattenLayerTest/1.TestSetupWithAxis
[ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms)
[ RUN ] FlattenLayerTest/1.TestSetup
[ OK ] FlattenLayerTest/1.TestSetup (0 ms)
[ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis
[ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms)
[ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis
[ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms)
[ RUN ] FlattenLayerTest/1.TestGradient
[ OK ] FlattenLayerTest/1.TestGradient (5 ms)
[----------] 6 tests from FlattenLayerTest/1 (6 ms total)
[----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] NeuronLayerTest/0.TestSwish
[ OK ] NeuronLayerTest/0.TestSwish (0 ms)
[ RUN ] NeuronLayerTest/0.TestSigmoidGradient
[ OK ] NeuronLayerTest/0.TestSigmoidGradient (9 ms)
[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3
[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpGradientWithShift
[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (5 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU
[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms)
[ RUN ] NeuronLayerTest/0.TestDropoutGradientTest
[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (3 ms)
[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3
[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms)
[ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient
[ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (10 ms)
[ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope
[ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms)
[ RUN ] NeuronLayerTest/0.TestLogLayerBase2
[ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUForward
[ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1
[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (4 ms)
[ RUN ] NeuronLayerTest/0.TestReLU
[ OK ] NeuronLayerTest/0.TestReLU (0 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared
[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1
[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms)
[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3
[ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (5 ms)
[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3
[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (5 ms)
[ RUN ] NeuronLayerTest/0.TestELUasReLU
[ OK ] NeuronLayerTest/0.TestELUasReLU (1 ms)
[ RUN ] NeuronLayerTest/0.TestSwishAsLinear
[ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3
[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (4 ms)
[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1
[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms)
[ RUN ] NeuronLayerTest/0.TestBNLL
[ OK ] NeuronLayerTest/0.TestBNLL (0 ms)
[ RUN ] NeuronLayerTest/0.TestAbsVal
[ OK ] NeuronLayerTest/0.TestAbsVal (0 ms)
[ RUN ] NeuronLayerTest/0.TestClipGradient
[ OK ] NeuronLayerTest/0.TestClipGradient (3 ms)
[ RUN ] NeuronLayerTest/0.TestExpLayerBase2
[ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms)
[ RUN ] NeuronLayerTest/0.TestBNLLGradient
[ OK ] NeuronLayerTest/0.TestBNLLGradient (10 ms)
[ RUN ] NeuronLayerTest/0.TestReLUGradient
[ OK ] NeuronLayerTest/0.TestReLUGradient (3 ms)
[ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters
[ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms)
[ RUN ] NeuronLayerTest/0.TestDropoutTestPhase
[ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms)
[ RUN ] NeuronLayerTest/0.TestTanHGradient
[ OK ] NeuronLayerTest/0.TestTanHGradient (8 ms)
[ RUN ] NeuronLayerTest/0.TestSigmoid
[ OK ] NeuronLayerTest/0.TestSigmoid (0 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUParam
[ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3
[ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms)
[ RUN ] NeuronLayerTest/0.TestLogGradientBase2
[ OK ] NeuronLayerTest/0.TestLogGradientBase2 (5 ms)
[ RUN ] NeuronLayerTest/0.TestExpLayerWithShift
[ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpGradient
[ OK ] NeuronLayerTest/0.TestExpGradient (4 ms)
[ RUN ] NeuronLayerTest/0.TestELUGradient
[ OK ] NeuronLayerTest/0.TestELUGradient (4 ms)
[ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope
[ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (3 ms)
[ RUN ] NeuronLayerTest/0.TestTanH
[ OK ] NeuronLayerTest/0.TestTanH (1 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared
[ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (218 ms)
[ RUN ] NeuronLayerTest/0.TestDropoutHalf
[ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms)
[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3
[ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (4 ms)
[ RUN ] NeuronLayerTest/0.TestExpLayer
[ OK ] NeuronLayerTest/0.TestExpLayer (0 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUInPlace
[ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms)
[ RUN ] NeuronLayerTest/0.TestLogLayer
[ OK ] NeuronLayerTest/0.TestLogLayer (0 ms)
[ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient
[ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (4 ms)
[ RUN ] NeuronLayerTest/0.TestClip
[ OK ] NeuronLayerTest/0.TestClip (0 ms)
[ RUN ] NeuronLayerTest/0.TestELUasReLUGradient
[ OK ] NeuronLayerTest/0.TestELUasReLUGradient (3 ms)
[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1
[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (5 ms)
[ RUN ] NeuronLayerTest/0.TestSwishWithBeta
[ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms)
[ RUN ] NeuronLayerTest/0.TestSwishGradient
[ OK ] NeuronLayerTest/0.TestSwishGradient (8 ms)
[ RUN ] NeuronLayerTest/0.TestDropoutGradient
[ OK ] NeuronLayerTest/0.TestDropoutGradient (7 ms)
[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3
[ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms)
[ RUN ] NeuronLayerTest/0.TestAbsGradient
[ OK ] NeuronLayerTest/0.TestAbsGradient (2 ms)
[ RUN ] NeuronLayerTest/0.TestPReLUGradient
[ OK ] NeuronLayerTest/0.TestPReLUGradient (207 ms)
[ RUN ] NeuronLayerTest/0.TestExpGradientBase2
[ OK ] NeuronLayerTest/0.TestExpGradientBase2 (4 ms)
[ RUN ] NeuronLayerTest/0.TestELU
[ OK ] NeuronLayerTest/0.TestELU (0 ms)
[ RUN ] NeuronLayerTest/0.TestLogGradient
[ OK ] NeuronLayerTest/0.TestLogGradient (5 ms)
[----------] 58 tests from NeuronLayerTest/0 (554 ms total)
[----------] 6 tests from MSRAFillerTest/1, where TypeParam = double
[ RUN ] MSRAFillerTest/1.TestFillFanIn
[ OK ] MSRAFillerTest/1.TestFillFanIn (125 ms)
[ RUN ] MSRAFillerTest/1.TestFillAverage
[ OK ] MSRAFillerTest/1.TestFillAverage (124 ms)
[ RUN ] MSRAFillerTest/1.TestFillFanOut
[ OK ] MSRAFillerTest/1.TestFillFanOut (123 ms)
[ RUN ] MSRAFillerTest/1.TestFill2D
[ OK ] MSRAFillerTest/1.TestFill2D (0 ms)
[ RUN ] MSRAFillerTest/1.TestFill1D
[ OK ] MSRAFillerTest/1.TestFill1D (0 ms)
[ RUN ] MSRAFillerTest/1.TestFill5D
[ OK ] MSRAFillerTest/1.TestFill5D (0 ms)
[----------] 6 tests from MSRAFillerTest/1 (372 ms total)
[----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] TileLayerTest/0.TestTrivialSetup
[ OK ] TileLayerTest/0.TestTrivialSetup (0 ms)
[ RUN ] TileLayerTest/0.TestForwardChannels
[ OK ] TileLayerTest/0.TestForwardChannels (1 ms)
[ RUN ] TileLayerTest/0.TestForwardNum
[ OK ] TileLayerTest/0.TestForwardNum (0 ms)
[ RUN ] TileLayerTest/0.TestGradientChannels
[ OK ] TileLayerTest/0.TestGradientChannels (378 ms)
[ RUN ] TileLayerTest/0.TestSetup
[ OK ] TileLayerTest/0.TestSetup (0 ms)
[ RUN ] TileLayerTest/0.TestGradientNum
[ OK ] TileLayerTest/0.TestGradientNum (309 ms)
[ RUN ] TileLayerTest/0.TestTrivialGradient
[ OK ] TileLayerTest/0.TestTrivialGradient (101 ms)
[----------] 7 tests from TileLayerTest/0 (789 ms total)
[----------] 8 tests from SplitLayerInsertionTest
[ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet
[ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (4 ms)
[ RUN ] SplitLayerInsertionTest.TestLossInsertion
[ OK ] SplitLayerInsertionTest.TestLossInsertion (0 ms)
[ RUN ] SplitLayerInsertionTest.TestNoInsertion1
[ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms)
[ RUN ] SplitLayerInsertionTest.TestWithInPlace
[ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms)
[ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace
[ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (1 ms)
[ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop
[ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms)
[ RUN ] SplitLayerInsertionTest.TestNoInsertion2
[ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms)
[ RUN ] SplitLayerInsertionTest.TestInsertion
[ OK ] SplitLayerInsertionTest.TestInsertion (0 ms)
[----------] 8 tests from SplitLayerInsertionTest (7 ms total)
[----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] MemoryDataLayerTest/1.TestSetBatchSize
[ OK ] MemoryDataLayerTest/1.TestSetBatchSize (3 ms)
[ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform
[ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (2 ms)
[ RUN ] MemoryDataLayerTest/1.TestForward
[ OK ] MemoryDataLayerTest/1.TestForward (61 ms)
[ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform
[ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (2 ms)
[ RUN ] MemoryDataLayerTest/1.TestSetup
[ OK ] MemoryDataLayerTest/1.TestSetup (1 ms)
[----------] 5 tests from MemoryDataLayerTest/1 (69 ms total)
[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] HDF5OutputLayerTest/1.TestForward
[ OK ] HDF5OutputLayerTest/1.TestForward (11 ms)
[----------] 1 test from HDF5OutputLayerTest/1 (12 ms total)
[----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] BatchNormLayerTest/1.TestForwardInplace
[ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms)
[ RUN ] BatchNormLayerTest/1.TestGradient
[ OK ] BatchNormLayerTest/1.TestGradient (297 ms)
[ RUN ] BatchNormLayerTest/1.TestForward
[ OK ] BatchNormLayerTest/1.TestForward (0 ms)
[----------] 3 tests from BatchNormLayerTest/1 (297 ms total)
[----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double
[ RUN ] CPUMathFunctionsTest/1.TestNothing
[ OK ] CPUMathFunctionsTest/1.TestNothing (7 ms)
[ RUN ] CPUMathFunctionsTest/1.TestCopy
[ OK ] CPUMathFunctionsTest/1.TestCopy (7 ms)
[ RUN ] CPUMathFunctionsTest/1.TestSign
[ OK ] CPUMathFunctionsTest/1.TestSign (10 ms)
[ RUN ] CPUMathFunctionsTest/1.TestSgnbit
[ OK ] CPUMathFunctionsTest/1.TestSgnbit (11 ms)
[ RUN ] CPUMathFunctionsTest/1.TestFabs
[ OK ] CPUMathFunctionsTest/1.TestFabs (9 ms)
[ RUN ] CPUMathFunctionsTest/1.TestAsum
[ OK ] CPUMathFunctionsTest/1.TestAsum (7 ms)
[ RUN ] CPUMathFunctionsTest/1.TestScale
[ OK ] CPUMathFunctionsTest/1.TestScale (8 ms)
[----------] 7 tests from CPUMathFunctionsTest/1 (60 ms total)
[----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] BatchReindexLayerTest/1.TestGradient
[ OK ] BatchReindexLayerTest/1.TestGradient (195 ms)
[ RUN ] BatchReindexLayerTest/1.TestForward
[ OK ] BatchReindexLayerTest/1.TestForward (0 ms)
[----------] 2 tests from BatchReindexLayerTest/1 (195 ms total)
[----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] HingeLossLayerTest/1.TestGradientL1
[ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms)
[ RUN ] HingeLossLayerTest/1.TestGradientL2
[ OK ] HingeLossLayerTest/1.TestGradientL2 (1 ms)
[----------] 2 tests from HingeLossLayerTest/1 (1 ms total)
[----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB
[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (20 ms)
[ RUN ] DataLayerTest/0.TestReadCropTestLevelDB
[ OK ] DataLayerTest/0.TestReadCropTestLevelDB (56 ms)
[ RUN ] DataLayerTest/0.TestSkipLevelDB
[ OK ] DataLayerTest/0.TestSkipLevelDB (255 ms)
[ RUN ] DataLayerTest/0.TestReadLMDB
[ OK ] DataLayerTest/0.TestReadLMDB (18 ms)
[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB
[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (90 ms)
[ RUN ] DataLayerTest/0.TestSkipLMDB
[ OK ] DataLayerTest/0.TestSkipLMDB (204 ms)
[ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB
[ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (87 ms)
[ RUN ] DataLayerTest/0.TestReadCropTestLMDB
[ OK ] DataLayerTest/0.TestReadCropTestLMDB (27 ms)
[ RUN ] DataLayerTest/0.TestReshapeLevelDB
[ OK ] DataLayerTest/0.TestReshapeLevelDB (105 ms)
[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB
[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (179 ms)
[ RUN ] DataLayerTest/0.TestReshapeLMDB
[ OK ] DataLayerTest/0.TestReshapeLMDB (972 ms)
[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB
[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (110 ms)
[ RUN ] DataLayerTest/0.TestReadLevelDB
[ OK ] DataLayerTest/0.TestReadLevelDB (52 ms)
[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB
[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (8 ms)
[----------] 14 tests from DataLayerTest/0 (2184 ms total)
[----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double
[ RUN ] DummyDataLayerTest/1.TestOneTopConstant
[ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms)
[ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant
[ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (1 ms)
[ RUN ] DummyDataLayerTest/1.TestTwoTopConstant
[ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms)
[----------] 3 tests from DummyDataLayerTest/1 (1 ms total)
[----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay
[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (29 ms)
[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (4 ms)
[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (21 ms)
[ RUN ] AdamSolverTest/0.TestSnapshotShare
[ OK ] AdamSolverTest/0.TestSnapshotShare (34 ms)
[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare
[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (242 ms)
[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate
[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (68 ms)
[ RUN ] AdamSolverTest/0.TestSnapshot
[ OK ] AdamSolverTest/0.TestSnapshot (22 ms)
[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything
[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (118 ms)
[----------] 8 tests from AdamSolverTest/0 (538 ms total)
[----------] 1 test from ProtoTest
[ RUN ] ProtoTest.TestSerialization
Printing in binary format.
testTest
Printing in text format.
name: "test"
type: "Test"
[ OK ] ProtoTest.TestSerialization (0 ms)
[----------] 1 test from ProtoTest (0 ms total)
[----------] 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)
[----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] CropLayerTest/1.TestCropHW
[ OK ] CropLayerTest/1.TestCropHW (1 ms)
[ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing
[ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms)
[ RUN ] CropLayerTest/1.TestSetupShapeDefault
[ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms)
[ RUN ] CropLayerTest/1.TestCrop5DGradient
[ OK ] CropLayerTest/1.TestCrop5DGradient (2356 ms)
[ RUN ] CropLayerTest/1.TestCropAll
[ OK ] CropLayerTest/1.TestCropAll (0 ms)
[ RUN ] CropLayerTest/1.TestCropAllOffset
[ OK ] CropLayerTest/1.TestCropAllOffset (0 ms)
[ RUN ] CropLayerTest/1.TestSetupShapeAll
[ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms)
[ RUN ] CropLayerTest/1.TestCropAllGradient
[ OK ] CropLayerTest/1.TestCropAllGradient (380 ms)
[ RUN ] CropLayerTest/1.TestCrop5D
[ OK ] CropLayerTest/1.TestCrop5D (0 ms)
[ RUN ] CropLayerTest/1.TestCropHWGradient
[ OK ] CropLayerTest/1.TestCropHWGradient (605 ms)
[ RUN ] CropLayerTest/1.TestDimensionsCheck
[ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms)
[----------] 11 tests from CropLayerTest/1 (3342 ms total)
[----------] 3 tests from PaddingLayerUpgradeTest
[ RUN ] PaddingLayerUpgradeTest.TestSimple
[ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms)
[ RUN ] PaddingLayerUpgradeTest.TestImageNet
[ OK ] PaddingLayerUpgradeTest.TestImageNet (2 ms)
[ RUN ] PaddingLayerUpgradeTest.TestTwoTops
[ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms)
[----------] 3 tests from PaddingLayerUpgradeTest (4 ms total)
[----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SolverTest/1.TestInitTrainTestNets
[ OK ] SolverTest/1.TestInitTrainTestNets (42 ms)
[----------] 1 test from SolverTest/1 (42 ms total)
[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel
[ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (24 ms)
[ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel
[ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms)
[ RUN ] SoftmaxWithLossLayerTest/0.TestGradient
[ OK ] SoftmaxWithLossLayerTest/0.TestGradient (19 ms)
[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized
[ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (14 ms)
[----------] 4 tests from SoftmaxWithLossLayerTest/0 (58 ms total)
[----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (104 ms)
[ RUN ] NesterovSolverTest/1.TestSnapshot
[ OK ] NesterovSolverTest/1.TestSnapshot (121 ms)
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (81 ms)
[ RUN ] NesterovSolverTest/1.TestSnapshotShare
[ OK ] NesterovSolverTest/1.TestSnapshotShare (492 ms)
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (268 ms)
[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (48 ms)
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (66 ms)
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (450 ms)
[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter
[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (293 ms)
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (49 ms)
[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum
[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (36 ms)
[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter
[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (352 ms)
[----------] 12 tests from NesterovSolverTest/1 (2360 ms total)
[----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel
[ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (2 ms)
[ RUN ] AccuracyLayerTest/0.TestForward
[ OK ] AccuracyLayerTest/0.TestForward (1 ms)
[ RUN ] AccuracyLayerTest/0.TestSetupTopK
[ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms)
[ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel
[ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms)
[ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass
[ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms)
[ RUN ] AccuracyLayerTest/0.TestForwardTopK
[ OK ] AccuracyLayerTest/0.TestForwardTopK (14 ms)
[ RUN ] AccuracyLayerTest/0.TestSetup
[ OK ] AccuracyLayerTest/0.TestSetup (0 ms)
[ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes
[ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (1 ms)
[ RUN ] AccuracyLayerTest/0.TestForwardPerClass
[ OK ] AccuracyLayerTest/0.TestForwardPerClass (2 ms)
[----------] 9 tests from AccuracyLayerTest/0 (22 ms total)
[----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float
[ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup
[ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms)
[----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total)
[----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float
[ RUN ] DummyDataLayerTest/0.TestOneTopConstant
[ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms)
[ RUN ] DummyDataLayerTest/0.TestTwoTopConstant
[ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms)
[ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant
[ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms)
[----------] 3 tests from DummyDataLayerTest/0 (0 ms total)
[----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SplitLayerTest/1.Test
[ OK ] SplitLayerTest/1.Test (0 ms)
[ RUN ] SplitLayerTest/1.TestSetup
[ OK ] SplitLayerTest/1.TestSetup (0 ms)
[ RUN ] SplitLayerTest/1.TestGradient
[ OK ] SplitLayerTest/1.TestGradient (10 ms)
[----------] 3 tests from SplitLayerTest/1 (10 ms total)
[----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice<float>
[ RUN ] BenchmarkTest/0.TestTimerStop
[ OK ] BenchmarkTest/0.TestTimerStop (1 ms)
[ RUN ] BenchmarkTest/0.TestTimerMilliSeconds
[ OK ] BenchmarkTest/0.TestTimerMilliSeconds (308 ms)
[ RUN ] BenchmarkTest/0.TestTimerStart
[ OK ] BenchmarkTest/0.TestTimerStart (0 ms)
[ RUN ] BenchmarkTest/0.TestTimerConstructor
[ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms)
[ RUN ] BenchmarkTest/0.TestTimerSeconds
[ OK ] BenchmarkTest/0.TestTimerSeconds (301 ms)
[----------] 5 tests from BenchmarkTest/0 (610 ms total)
[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice<double>
[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient
[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms)
[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss
[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (9 ms)
[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient
[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (4 ms)
[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (13 ms total)
[----------] Global test environment tear-down
[==========] 1162 tests from 152 test cases ran. (123491 ms total)
[ PASSED ] 1162 tests.
make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
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[ 1%] Built target caffeproto
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[ 98%] Built target caffe
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cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles/pytest.dir/DependInfo.cmake --color=
Scanning dependencies of target pytest
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.../build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead.
self.assertEquals(ax, 1)
................WARNING: Logging before InitGoogleLogging() is written to STDERR
I0624 02:49:30.832003 12580 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data
I0624 02:49:30.832490 12580 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data
I0624 02:49:30.832512 12580 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss
I0624 02:49:30.832525 12580 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss
I0624 02:49:30.832538 12580 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"
}
}
I0624 02:49:30.832680 12580 layer_factory.hpp:77] Creating layer deploy_data
I0624 02:49:30.833215 12580 net.cpp:86] Creating Layer deploy_data
I0624 02:49:30.833233 12580 net.cpp:382] deploy_data -> data
I0624 02:49:30.833855 12580 net.cpp:124] Setting up deploy_data
I0624 02:49:30.833871 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.833896 12580 net.cpp:139] Memory required for data: 400
I0624 02:49:30.833909 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.833930 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.833942 12580 net.cpp:408] ip <- data
I0624 02:49:30.833957 12580 net.cpp:382] ip -> ip
I0624 02:49:30.834570 12580 net.cpp:124] Setting up ip
I0624 02:49:30.834586 12580 net.cpp:131] Top shape: 1 2 (2)
I0624 02:49:30.834599 12580 net.cpp:139] Memory required for data: 408
I0624 02:49:30.834632 12580 layer_factory.hpp:77] Creating layer pred
I0624 02:49:30.834652 12580 net.cpp:86] Creating Layer pred
I0624 02:49:30.834663 12580 net.cpp:408] pred <- ip
I0624 02:49:30.834678 12580 net.cpp:382] pred -> pred
I0624 02:49:30.835738 12580 net.cpp:124] Setting up pred
I0624 02:49:30.835760 12580 net.cpp:131] Top shape: 1 2 (2)
I0624 02:49:30.835777 12580 net.cpp:139] Memory required for data: 416
I0624 02:49:30.835794 12580 net.cpp:202] pred does not need backward computation.
I0624 02:49:30.835809 12580 net.cpp:202] ip does not need backward computation.
I0624 02:49:30.835825 12580 net.cpp:202] deploy_data does not need backward computation.
I0624 02:49:30.835837 12580 net.cpp:244] This network produces output pred
I0624 02:49:30.835856 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.846068 12580 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data
I0624 02:49:30.846091 12580 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data
I0624 02:49:30.846107 12580 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred
I0624 02:49:30.846122 12580 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"
}
}
I0624 02:49:30.846251 12580 layer_factory.hpp:77] Creating layer train_data
I0624 02:49:30.846278 12580 net.cpp:86] Creating Layer train_data
I0624 02:49:30.846302 12580 net.cpp:382] train_data -> data
I0624 02:49:30.846336 12580 net.cpp:382] train_data -> label
I0624 02:49:30.846369 12580 net.cpp:124] Setting up train_data
I0624 02:49:30.846380 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.846395 12580 net.cpp:131] Top shape: 1 1 1 1 (1)
I0624 02:49:30.846410 12580 net.cpp:139] Memory required for data: 404
I0624 02:49:30.846421 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.846437 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.846448 12580 net.cpp:408] ip <- data
I0624 02:49:30.846464 12580 net.cpp:382] ip -> ip
I0624 02:49:30.846493 12580 net.cpp:124] Setting up ip
I0624 02:49:30.846503 12580 net.cpp:131] Top shape: 1 2 (2)
I0624 02:49:30.846516 12580 net.cpp:139] Memory required for data: 412
I0624 02:49:30.846536 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.846554 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.846565 12580 net.cpp:408] loss <- ip
I0624 02:49:30.846576 12580 net.cpp:408] loss <- label
I0624 02:49:30.846592 12580 net.cpp:382] loss -> loss
I0624 02:49:30.849185 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.849241 12580 net.cpp:124] Setting up loss
I0624 02:49:30.849253 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.849267 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.849864 12580 net.cpp:139] Memory required for data: 416
I0624 02:49:30.849877 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.849892 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.849905 12580 net.cpp:202] train_data does not need backward computation.
I0624 02:49:30.849915 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.849931 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.858214 12580 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data
I0624 02:49:30.858240 12580 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data
I0624 02:49:30.858254 12580 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss
I0624 02:49:30.858269 12580 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred
I0624 02:49:30.858281 12580 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"
}
}
I0624 02:49:30.858414 12580 layer_factory.hpp:77] Creating layer val_data
I0624 02:49:30.858435 12580 net.cpp:86] Creating Layer val_data
I0624 02:49:30.858453 12580 net.cpp:382] val_data -> data
I0624 02:49:30.858476 12580 net.cpp:382] val_data -> label
I0624 02:49:30.858506 12580 net.cpp:124] Setting up val_data
I0624 02:49:30.858518 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.858533 12580 net.cpp:131] Top shape: 1 1 1 1 (1)
I0624 02:49:30.858546 12580 net.cpp:139] Memory required for data: 404
I0624 02:49:30.858557 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.858573 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.858584 12580 net.cpp:408] ip <- data
I0624 02:49:30.858599 12580 net.cpp:382] ip -> ip
I0624 02:49:30.858629 12580 net.cpp:124] Setting up ip
I0624 02:49:30.858640 12580 net.cpp:131] Top shape: 1 2 (2)
I0624 02:49:30.858652 12580 net.cpp:139] Memory required for data: 412
I0624 02:49:30.858672 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.858690 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.858701 12580 net.cpp:408] loss <- ip
I0624 02:49:30.858713 12580 net.cpp:408] loss <- label
I0624 02:49:30.858729 12580 net.cpp:382] loss -> loss
I0624 02:49:30.858749 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.858776 12580 net.cpp:124] Setting up loss
I0624 02:49:30.858788 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.858800 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.858821 12580 net.cpp:139] Memory required for data: 416
I0624 02:49:30.858832 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.858844 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.858856 12580 net.cpp:202] val_data does not need backward computation.
I0624 02:49:30.858866 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.858881 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.866221 12580 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only
I0624 02:49:30.866257 12580 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1
I0624 02:49:30.866272 12580 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
}
}
I0624 02:49:30.866478 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.866501 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.866519 12580 net.cpp:382] data -> data
I0624 02:49:30.866560 12580 net.cpp:124] Setting up data
I0624 02:49:30.866575 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.866592 12580 net.cpp:139] Memory required for data: 400
I0624 02:49:30.866606 12580 layer_factory.hpp:77] Creating layer data_data_0_split
I0624 02:49:30.866714 12580 net.cpp:86] Creating Layer data_data_0_split
I0624 02:49:30.866729 12580 net.cpp:408] data_data_0_split <- data
I0624 02:49:30.866748 12580 net.cpp:382] data_data_0_split -> data_data_0_split_0
I0624 02:49:30.866770 12580 net.cpp:382] data_data_0_split -> data_data_0_split_1
I0624 02:49:30.866794 12580 net.cpp:382] data_data_0_split -> data_data_0_split_2
I0624 02:49:30.866830 12580 net.cpp:124] Setting up data_data_0_split
I0624 02:49:30.866843 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.866860 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.866875 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.866891 12580 net.cpp:139] Memory required for data: 1600
I0624 02:49:30.866904 12580 layer_factory.hpp:77] Creating layer NoLevel
I0624 02:49:30.866923 12580 net.cpp:86] Creating Layer NoLevel
I0624 02:49:30.866936 12580 net.cpp:408] NoLevel <- data_data_0_split_0
I0624 02:49:30.866955 12580 net.cpp:382] NoLevel -> NoLevel
I0624 02:49:30.866989 12580 net.cpp:124] Setting up NoLevel
I0624 02:49:30.867002 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.867017 12580 net.cpp:139] Memory required for data: 1604
I0624 02:49:30.867060 12580 layer_factory.hpp:77] Creating layer Level0Only
I0624 02:49:30.867080 12580 net.cpp:86] Creating Layer Level0Only
I0624 02:49:30.867094 12580 net.cpp:408] Level0Only <- data_data_0_split_1
I0624 02:49:30.867112 12580 net.cpp:382] Level0Only -> Level0Only
I0624 02:49:30.867141 12580 net.cpp:124] Setting up Level0Only
I0624 02:49:30.867153 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.867168 12580 net.cpp:139] Memory required for data: 1608
I0624 02:49:30.867188 12580 layer_factory.hpp:77] Creating layer Level>=0
I0624 02:49:30.867218 12580 net.cpp:86] Creating Layer Level>=0
I0624 02:49:30.867230 12580 net.cpp:408] Level>=0 <- data_data_0_split_2
I0624 02:49:30.867247 12580 net.cpp:382] Level>=0 -> Level>=0
I0624 02:49:30.867277 12580 net.cpp:124] Setting up Level>=0
I0624 02:49:30.867290 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.867305 12580 net.cpp:139] Memory required for data: 1612
I0624 02:49:30.867326 12580 net.cpp:202] Level>=0 does not need backward computation.
I0624 02:49:30.867341 12580 net.cpp:202] Level0Only does not need backward computation.
I0624 02:49:30.867353 12580 net.cpp:202] NoLevel does not need backward computation.
I0624 02:49:30.867367 12580 net.cpp:202] data_data_0_split does not need backward computation.
I0624 02:49:30.867381 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.867393 12580 net.cpp:244] This network produces output Level0Only
I0624 02:49:30.867406 12580 net.cpp:244] This network produces output Level>=0
I0624 02:49:30.867420 12580 net.cpp:244] This network produces output NoLevel
I0624 02:49:30.867442 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.873934 12580 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only
I0624 02:49:30.873965 12580 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
}
}
I0624 02:49:30.874166 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.874186 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.874203 12580 net.cpp:382] data -> data
I0624 02:49:30.874235 12580 net.cpp:124] Setting up data
I0624 02:49:30.874249 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.874266 12580 net.cpp:139] Memory required for data: 400
I0624 02:49:30.874279 12580 layer_factory.hpp:77] Creating layer data_data_0_split
I0624 02:49:30.874298 12580 net.cpp:86] Creating Layer data_data_0_split
I0624 02:49:30.874312 12580 net.cpp:408] data_data_0_split <- data
I0624 02:49:30.874332 12580 net.cpp:382] data_data_0_split -> data_data_0_split_0
I0624 02:49:30.874354 12580 net.cpp:382] data_data_0_split -> data_data_0_split_1
I0624 02:49:30.874377 12580 net.cpp:382] data_data_0_split -> data_data_0_split_2
I0624 02:49:30.874397 12580 net.cpp:382] data_data_0_split -> data_data_0_split_3
I0624 02:49:30.874424 12580 net.cpp:124] Setting up data_data_0_split
I0624 02:49:30.874437 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.874454 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.874469 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.874485 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:30.874500 12580 net.cpp:139] Memory required for data: 2000
I0624 02:49:30.874512 12580 layer_factory.hpp:77] Creating layer NoLevel
I0624 02:49:30.874531 12580 net.cpp:86] Creating Layer NoLevel
I0624 02:49:30.874543 12580 net.cpp:408] NoLevel <- data_data_0_split_0
I0624 02:49:30.874562 12580 net.cpp:382] NoLevel -> NoLevel
I0624 02:49:30.874593 12580 net.cpp:124] Setting up NoLevel
I0624 02:49:30.874604 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.874620 12580 net.cpp:139] Memory required for data: 2004
I0624 02:49:30.874642 12580 layer_factory.hpp:77] Creating layer Level1Only
I0624 02:49:30.874660 12580 net.cpp:86] Creating Layer Level1Only
I0624 02:49:30.874673 12580 net.cpp:408] Level1Only <- data_data_0_split_1
I0624 02:49:30.874691 12580 net.cpp:382] Level1Only -> Level1Only
I0624 02:49:30.874720 12580 net.cpp:124] Setting up Level1Only
I0624 02:49:30.874733 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.874748 12580 net.cpp:139] Memory required for data: 2008
I0624 02:49:30.874768 12580 layer_factory.hpp:77] Creating layer Level>=0
I0624 02:49:30.874787 12580 net.cpp:86] Creating Layer Level>=0
I0624 02:49:30.874800 12580 net.cpp:408] Level>=0 <- data_data_0_split_2
I0624 02:49:30.874817 12580 net.cpp:382] Level>=0 -> Level>=0
I0624 02:49:30.874846 12580 net.cpp:124] Setting up Level>=0
I0624 02:49:30.874858 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.874873 12580 net.cpp:139] Memory required for data: 2012
I0624 02:49:30.874894 12580 layer_factory.hpp:77] Creating layer Level>=1
I0624 02:49:30.874919 12580 net.cpp:86] Creating Layer Level>=1
I0624 02:49:30.874933 12580 net.cpp:408] Level>=1 <- data_data_0_split_3
I0624 02:49:30.874950 12580 net.cpp:382] Level>=1 -> Level>=1
I0624 02:49:30.874980 12580 net.cpp:124] Setting up Level>=1
I0624 02:49:30.874995 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:30.875010 12580 net.cpp:139] Memory required for data: 2016
I0624 02:49:30.875027 12580 net.cpp:202] Level>=1 does not need backward computation.
I0624 02:49:30.875041 12580 net.cpp:202] Level>=0 does not need backward computation.
I0624 02:49:30.875054 12580 net.cpp:202] Level1Only does not need backward computation.
I0624 02:49:30.875067 12580 net.cpp:202] NoLevel does not need backward computation.
I0624 02:49:30.875082 12580 net.cpp:202] data_data_0_split does not need backward computation.
I0624 02:49:30.875095 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.875108 12580 net.cpp:244] This network produces output Level1Only
I0624 02:49:30.875120 12580 net.cpp:244] This network produces output Level>=0
I0624 02:49:30.875134 12580 net.cpp:244] This network produces output Level>=1
I0624 02:49:30.875149 12580 net.cpp:244] This network produces output NoLevel
I0624 02:49:30.875172 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.876374 12580 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"
}
I0624 02:49:30.876591 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.876614 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.876633 12580 net.cpp:382] data -> data
I0624 02:49:30.876657 12580 net.cpp:382] data -> label
I0624 02:49:30.876685 12580 net.cpp:124] Setting up data
I0624 02:49:30.876698 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.876715 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.876730 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.876744 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.876832 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.876847 12580 net.cpp:408] conv <- data
I0624 02:49:30.876871 12580 net.cpp:382] conv -> conv
I0624 02:49:30.877418 12580 net.cpp:124] Setting up conv
I0624 02:49:30.877435 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.877451 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.877559 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.877581 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.877595 12580 net.cpp:408] ip <- conv
I0624 02:49:30.877614 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.878010 12580 net.cpp:124] Setting up ip
I0624 02:49:30.878022 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.878037 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.878057 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.878075 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.878088 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.878101 12580 net.cpp:408] loss <- label
I0624 02:49:30.878118 12580 net.cpp:382] loss -> loss
I0624 02:49:30.878140 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.878171 12580 net.cpp:124] Setting up loss
I0624 02:49:30.878185 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.878201 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.878222 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.878235 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.878250 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.878263 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.878278 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.878290 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.878309 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.882783 12580 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"
}
I0624 02:49:30.883029 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.883054 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.883074 12580 net.cpp:382] data -> data
I0624 02:49:30.883100 12580 net.cpp:382] data -> label
I0624 02:49:30.883129 12580 net.cpp:124] Setting up data
I0624 02:49:30.883144 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.883162 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.883180 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.883194 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.883219 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.883234 12580 net.cpp:408] conv <- data
I0624 02:49:30.883253 12580 net.cpp:382] conv -> conv
I0624 02:49:30.883308 12580 net.cpp:124] Setting up conv
I0624 02:49:30.883348 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.883364 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.883389 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.883409 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.883422 12580 net.cpp:408] ip <- conv
I0624 02:49:30.883440 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.883833 12580 net.cpp:124] Setting up ip
I0624 02:49:30.883865 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.883880 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.883901 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.883919 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.883932 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.883946 12580 net.cpp:408] loss <- label
I0624 02:49:30.883965 12580 net.cpp:382] loss -> loss
I0624 02:49:30.883985 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.884016 12580 net.cpp:124] Setting up loss
I0624 02:49:30.884030 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.884044 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.884063 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.884078 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.884092 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.884107 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.884126 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.884138 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.884156 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.886880 12580 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"
}
I0624 02:49:30.887120 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.887145 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.887166 12580 net.cpp:382] data -> data
I0624 02:49:30.887193 12580 net.cpp:382] data -> label
I0624 02:49:30.887223 12580 net.cpp:124] Setting up data
I0624 02:49:30.887238 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.887255 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.887271 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.887285 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.887310 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.887322 12580 net.cpp:408] conv <- data
I0624 02:49:30.887342 12580 net.cpp:382] conv -> conv
I0624 02:49:30.887401 12580 net.cpp:124] Setting up conv
I0624 02:49:30.887439 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.887454 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.887477 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.887498 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.887511 12580 net.cpp:408] ip <- conv
I0624 02:49:30.887532 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.887920 12580 net.cpp:124] Setting up ip
I0624 02:49:30.887960 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.887976 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.887996 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.888015 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.888028 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.888048 12580 net.cpp:408] loss <- label
I0624 02:49:30.888070 12580 net.cpp:382] loss -> loss
I0624 02:49:30.888092 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.888123 12580 net.cpp:124] Setting up loss
I0624 02:49:30.888137 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.888152 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.888171 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.888185 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.888200 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.888212 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.888227 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.888242 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.888259 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.890589 12580 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"
}
I0624 02:49:30.890820 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.890843 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.890862 12580 net.cpp:382] data -> data
I0624 02:49:30.890887 12580 net.cpp:382] data -> label
I0624 02:49:30.890916 12580 net.cpp:124] Setting up data
I0624 02:49:30.890930 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.890946 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.890962 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.890975 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.890998 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.891011 12580 net.cpp:408] conv <- data
I0624 02:49:30.891031 12580 net.cpp:382] conv -> conv
I0624 02:49:30.891083 12580 net.cpp:124] Setting up conv
I0624 02:49:30.891098 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.891113 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.891134 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.891153 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.891166 12580 net.cpp:408] ip <- conv
I0624 02:49:30.891183 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.891569 12580 net.cpp:124] Setting up ip
I0624 02:49:30.891582 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.891597 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.891616 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.891634 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.891647 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.891660 12580 net.cpp:408] loss <- label
I0624 02:49:30.891676 12580 net.cpp:382] loss -> loss
I0624 02:49:30.891697 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.891726 12580 net.cpp:124] Setting up loss
I0624 02:49:30.891739 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.891753 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.891772 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.891784 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.891798 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.891810 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.891824 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.891837 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.891855 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.901823 12580 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"
}
I0624 02:49:30.902024 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.902042 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.902057 12580 net.cpp:382] data -> data
I0624 02:49:30.902078 12580 net.cpp:382] data -> label
I0624 02:49:30.902102 12580 net.cpp:124] Setting up data
I0624 02:49:30.902112 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.902125 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.902137 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.902148 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.902164 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.902174 12580 net.cpp:408] conv <- data
I0624 02:49:30.902189 12580 net.cpp:382] conv -> conv
I0624 02:49:30.902232 12580 net.cpp:124] Setting up conv
I0624 02:49:30.902242 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.902254 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.902271 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.902287 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.902295 12580 net.cpp:408] ip <- conv
I0624 02:49:30.902308 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.902601 12580 net.cpp:124] Setting up ip
I0624 02:49:30.902611 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.902621 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.902635 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.902648 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.902658 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.902668 12580 net.cpp:408] loss <- label
I0624 02:49:30.902681 12580 net.cpp:382] loss -> loss
I0624 02:49:30.902696 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.902719 12580 net.cpp:124] Setting up loss
I0624 02:49:30.902729 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.902740 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.902753 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.902762 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.902773 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.902782 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.902793 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.902802 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.902817 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.913935 12580 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"
}
I0624 02:49:30.914158 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.914182 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.914202 12580 net.cpp:382] data -> data
I0624 02:49:30.914228 12580 net.cpp:382] data -> label
I0624 02:49:30.914259 12580 net.cpp:124] Setting up data
I0624 02:49:30.914273 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.914290 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.914307 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.914320 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.914345 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.914358 12580 net.cpp:408] conv <- data
I0624 02:49:30.914378 12580 net.cpp:382] conv -> conv
I0624 02:49:30.914435 12580 net.cpp:124] Setting up conv
I0624 02:49:30.914448 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.914464 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.914486 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.914506 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.914518 12580 net.cpp:408] ip <- conv
I0624 02:49:30.914536 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.914922 12580 net.cpp:124] Setting up ip
I0624 02:49:30.914935 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.914950 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.914970 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.914988 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.915000 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.915014 12580 net.cpp:408] loss <- label
I0624 02:49:30.915031 12580 net.cpp:382] loss -> loss
I0624 02:49:30.915052 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.915082 12580 net.cpp:124] Setting up loss
I0624 02:49:30.915096 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.915110 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.915128 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.915141 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.915155 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.915169 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.915182 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.915195 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.915213 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.921897 12580 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"
}
I0624 02:49:30.922158 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.922184 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.922204 12580 net.cpp:382] data -> data
I0624 02:49:30.922230 12580 net.cpp:382] data -> label
I0624 02:49:30.922261 12580 net.cpp:124] Setting up data
I0624 02:49:30.922276 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.922292 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.922308 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.922322 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.922346 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.922359 12580 net.cpp:408] conv <- data
I0624 02:49:30.922379 12580 net.cpp:382] conv -> conv
I0624 02:49:30.922435 12580 net.cpp:124] Setting up conv
I0624 02:49:30.922447 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.922463 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.922485 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.922504 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.922518 12580 net.cpp:408] ip <- conv
I0624 02:49:30.922535 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.922926 12580 net.cpp:124] Setting up ip
I0624 02:49:30.922940 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.922955 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.922974 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.922992 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.923004 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.923019 12580 net.cpp:408] loss <- label
I0624 02:49:30.923035 12580 net.cpp:382] loss -> loss
I0624 02:49:30.923056 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.923086 12580 net.cpp:124] Setting up loss
I0624 02:49:30.923099 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.923115 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.923132 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.923146 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.923161 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.923173 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.923188 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.923202 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.923219 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.929901 12580 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"
}
I0624 02:49:30.930117 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.930142 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.930161 12580 net.cpp:382] data -> data
I0624 02:49:30.930187 12580 net.cpp:382] data -> label
I0624 02:49:30.930218 12580 net.cpp:124] Setting up data
I0624 02:49:30.930233 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.930249 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.930265 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.930279 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.930302 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.930315 12580 net.cpp:408] conv <- data
I0624 02:49:30.930335 12580 net.cpp:382] conv -> conv
I0624 02:49:30.930390 12580 net.cpp:124] Setting up conv
I0624 02:49:30.930403 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.930419 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.930442 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.930462 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.930475 12580 net.cpp:408] ip <- conv
I0624 02:49:30.930492 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.930881 12580 net.cpp:124] Setting up ip
I0624 02:49:30.930893 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.930908 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.930927 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.930945 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.930958 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.930972 12580 net.cpp:408] loss <- label
I0624 02:49:30.930989 12580 net.cpp:382] loss -> loss
I0624 02:49:30.931010 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.931041 12580 net.cpp:124] Setting up loss
I0624 02:49:30.931053 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.931068 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.931087 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.931099 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.931113 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.931126 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.931140 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.931154 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.931171 12580 net.cpp:257] Network initialization done.
W0624 02:49:30.954512 12580 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W0624 02:49:30.954545 12580 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W0624 02:49:30.954560 12580 _caffe.cpp:142] Net('/tmp/tmphvjjcz5j', 0, weights='/tmp/tmpb6415jzk')
I0624 02:49:30.954931 12580 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"
}
I0624 02:49:30.955193 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.955222 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.955247 12580 net.cpp:382] data -> data
I0624 02:49:30.955281 12580 net.cpp:382] data -> label
I0624 02:49:30.955320 12580 net.cpp:124] Setting up data
I0624 02:49:30.955338 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.955359 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.955379 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.955399 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.955435 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.955453 12580 net.cpp:408] conv <- data
I0624 02:49:30.955487 12580 net.cpp:382] conv -> conv
I0624 02:49:30.955564 12580 net.cpp:124] Setting up conv
I0624 02:49:30.955579 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.955598 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.955626 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.955651 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.955667 12580 net.cpp:408] ip <- conv
I0624 02:49:30.955688 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.956158 12580 net.cpp:124] Setting up ip
I0624 02:49:30.956174 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.956192 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.956216 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.956252 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.956272 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.956296 12580 net.cpp:408] loss <- label
I0624 02:49:30.956321 12580 net.cpp:382] loss -> loss
I0624 02:49:30.956346 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.956391 12580 net.cpp:124] Setting up loss
I0624 02:49:30.956408 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.956425 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.956449 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.956465 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.956482 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.956497 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.956514 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.956530 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.956553 12580 net.cpp:257] Network initialization done.
I0624 02:49:30.977835 12580 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"
}
I0624 02:49:30.978058 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.978081 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.978097 12580 net.cpp:382] data -> data
I0624 02:49:30.978124 12580 net.cpp:382] data -> label
I0624 02:49:30.978157 12580 net.cpp:124] Setting up data
I0624 02:49:30.978173 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.978191 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.978210 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.978224 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.978251 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.978267 12580 net.cpp:408] conv <- data
I0624 02:49:30.978286 12580 net.cpp:382] conv -> conv
I0624 02:49:30.978334 12580 net.cpp:124] Setting up conv
I0624 02:49:30.978346 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.978360 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.978379 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.978397 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.978408 12580 net.cpp:408] ip <- conv
I0624 02:49:30.978423 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.978754 12580 net.cpp:124] Setting up ip
I0624 02:49:30.978765 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.978780 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.978797 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.978812 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.978823 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.978852 12580 net.cpp:408] loss <- label
I0624 02:49:30.978868 12580 net.cpp:382] loss -> loss
I0624 02:49:30.978884 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.978910 12580 net.cpp:124] Setting up loss
I0624 02:49:30.978922 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.978935 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.978951 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.978963 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.978974 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.978986 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.978997 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.979008 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.979025 12580 net.cpp:257] Network initialization done.
.I0624 02:49:30.989987 12580 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"
}
I0624 02:49:30.990178 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:30.990200 12580 net.cpp:86] Creating Layer data
I0624 02:49:30.990216 12580 net.cpp:382] data -> data
I0624 02:49:30.990239 12580 net.cpp:382] data -> label
I0624 02:49:30.990265 12580 net.cpp:124] Setting up data
I0624 02:49:30.990278 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:30.990293 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:30.990306 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:30.990317 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:30.990341 12580 net.cpp:86] Creating Layer conv
I0624 02:49:30.990353 12580 net.cpp:408] conv <- data
I0624 02:49:30.990370 12580 net.cpp:382] conv -> conv
I0624 02:49:30.990419 12580 net.cpp:124] Setting up conv
I0624 02:49:30.990430 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:30.990444 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:30.990463 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:30.990480 12580 net.cpp:86] Creating Layer ip
I0624 02:49:30.990491 12580 net.cpp:408] ip <- conv
I0624 02:49:30.990506 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:30.990837 12580 net.cpp:124] Setting up ip
I0624 02:49:30.990849 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:30.990861 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:30.990878 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.990893 12580 net.cpp:86] Creating Layer loss
I0624 02:49:30.990904 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:30.990916 12580 net.cpp:408] loss <- label
I0624 02:49:30.990931 12580 net.cpp:382] loss -> loss
I0624 02:49:30.990947 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:30.990973 12580 net.cpp:124] Setting up loss
I0624 02:49:30.990985 12580 net.cpp:131] Top shape: (1)
I0624 02:49:30.990998 12580 net.cpp:134] with loss weight 1
I0624 02:49:30.991014 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:30.991025 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:30.991037 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:30.991048 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:30.991060 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:30.991070 12580 net.cpp:244] This network produces output loss
I0624 02:49:30.991086 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.000555 12580 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"
}
I0624 02:49:31.000769 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.000793 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.000813 12580 net.cpp:382] data -> data
I0624 02:49:31.000838 12580 net.cpp:382] data -> label
I0624 02:49:31.000869 12580 net.cpp:124] Setting up data
I0624 02:49:31.000882 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.000900 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.000916 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.000929 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.000952 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.000965 12580 net.cpp:408] conv <- data
I0624 02:49:31.000984 12580 net.cpp:382] conv -> conv
I0624 02:49:31.001041 12580 net.cpp:124] Setting up conv
I0624 02:49:31.001055 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.001070 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.001093 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.001113 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.001152 12580 net.cpp:408] ip <- conv
I0624 02:49:31.001171 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.001636 12580 net.cpp:124] Setting up ip
I0624 02:49:31.001662 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.001682 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.001706 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.001747 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.001761 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.001775 12580 net.cpp:408] loss <- label
I0624 02:49:31.001792 12580 net.cpp:382] loss -> loss
I0624 02:49:31.001816 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.001845 12580 net.cpp:124] Setting up loss
I0624 02:49:31.001859 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.001873 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.001893 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.001906 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.001920 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.001935 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.001948 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.001960 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.002010 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.002722 12580 hdf5.cpp:33] Datatype class: H5T_FLOAT
.I0624 02:49:31.005780 12580 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"
}
I0624 02:49:31.006038 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.006062 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.006081 12580 net.cpp:382] data -> data
I0624 02:49:31.006108 12580 net.cpp:382] data -> label
I0624 02:49:31.006137 12580 net.cpp:124] Setting up data
I0624 02:49:31.006151 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.006170 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.006186 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.006198 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.006222 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.006235 12580 net.cpp:408] conv <- data
I0624 02:49:31.006254 12580 net.cpp:382] conv -> conv
I0624 02:49:31.006310 12580 net.cpp:124] Setting up conv
I0624 02:49:31.006323 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.006340 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.006361 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.006381 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.006394 12580 net.cpp:408] ip <- conv
I0624 02:49:31.006412 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.006799 12580 net.cpp:124] Setting up ip
I0624 02:49:31.006812 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.006827 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.006847 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.006865 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.006877 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.006891 12580 net.cpp:408] loss <- label
I0624 02:49:31.006907 12580 net.cpp:382] loss -> loss
I0624 02:49:31.006928 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.006958 12580 net.cpp:124] Setting up loss
I0624 02:49:31.006971 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.006986 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.007004 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.007035 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.007050 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.007063 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.007077 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.007091 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.007108 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.017940 12580 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B
I0624 02:49:31.017990 12580 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB
I0624 02:49:31.018003 12580 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
}
}
I0624 02:49:31.018164 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.018219 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.018234 12580 net.cpp:382] data -> data
I0624 02:49:31.018266 12580 net.cpp:124] Setting up data
I0624 02:49:31.018296 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.018309 12580 net.cpp:139] Memory required for data: 400
I0624 02:49:31.018322 12580 layer_factory.hpp:77] Creating layer data_data_0_split
I0624 02:49:31.018339 12580 net.cpp:86] Creating Layer data_data_0_split
I0624 02:49:31.018352 12580 net.cpp:408] data_data_0_split <- data
I0624 02:49:31.018368 12580 net.cpp:382] data_data_0_split -> data_data_0_split_0
I0624 02:49:31.018401 12580 net.cpp:382] data_data_0_split -> data_data_0_split_1
I0624 02:49:31.018437 12580 net.cpp:124] Setting up data_data_0_split
I0624 02:49:31.018467 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.018481 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.018496 12580 net.cpp:139] Memory required for data: 1200
I0624 02:49:31.018507 12580 layer_factory.hpp:77] Creating layer A
I0624 02:49:31.018524 12580 net.cpp:86] Creating Layer A
I0624 02:49:31.018543 12580 net.cpp:408] A <- data_data_0_split_0
I0624 02:49:31.018560 12580 net.cpp:382] A -> A
I0624 02:49:31.018590 12580 net.cpp:124] Setting up A
I0624 02:49:31.018666 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.018679 12580 net.cpp:139] Memory required for data: 1204
I0624 02:49:31.018700 12580 layer_factory.hpp:77] Creating layer AorB
I0624 02:49:31.018716 12580 net.cpp:86] Creating Layer AorB
I0624 02:49:31.018729 12580 net.cpp:408] AorB <- data_data_0_split_1
I0624 02:49:31.018748 12580 net.cpp:382] AorB -> AorB
I0624 02:49:31.018774 12580 net.cpp:124] Setting up AorB
I0624 02:49:31.018801 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.018815 12580 net.cpp:139] Memory required for data: 1208
I0624 02:49:31.018832 12580 net.cpp:202] AorB does not need backward computation.
I0624 02:49:31.018843 12580 net.cpp:202] A does not need backward computation.
I0624 02:49:31.018855 12580 net.cpp:202] data_data_0_split does not need backward computation.
I0624 02:49:31.018867 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.018877 12580 net.cpp:244] This network produces output A
I0624 02:49:31.018888 12580 net.cpp:244] This network produces output AorB
I0624 02:49:31.018903 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.029839 12580 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
}
}
I0624 02:49:31.030027 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.030045 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.030061 12580 net.cpp:382] data -> data
I0624 02:49:31.030086 12580 net.cpp:124] Setting up data
I0624 02:49:31.030099 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.030113 12580 net.cpp:139] Memory required for data: 400
I0624 02:49:31.030124 12580 layer_factory.hpp:77] Creating layer data_data_0_split
I0624 02:49:31.030140 12580 net.cpp:86] Creating Layer data_data_0_split
I0624 02:49:31.030153 12580 net.cpp:408] data_data_0_split <- data
I0624 02:49:31.030169 12580 net.cpp:382] data_data_0_split -> data_data_0_split_0
I0624 02:49:31.030186 12580 net.cpp:382] data_data_0_split -> data_data_0_split_1
I0624 02:49:31.030205 12580 net.cpp:382] data_data_0_split -> data_data_0_split_2
I0624 02:49:31.030225 12580 net.cpp:382] data_data_0_split -> data_data_0_split_3
I0624 02:49:31.030246 12580 net.cpp:124] Setting up data_data_0_split
I0624 02:49:31.030258 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.030272 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.030285 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.030298 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.030311 12580 net.cpp:139] Memory required for data: 2000
I0624 02:49:31.030323 12580 layer_factory.hpp:77] Creating layer A
I0624 02:49:31.030339 12580 net.cpp:86] Creating Layer A
I0624 02:49:31.030349 12580 net.cpp:408] A <- data_data_0_split_0
I0624 02:49:31.030364 12580 net.cpp:382] A -> A
I0624 02:49:31.030391 12580 net.cpp:124] Setting up A
I0624 02:49:31.030402 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.030414 12580 net.cpp:139] Memory required for data: 2004
I0624 02:49:31.030433 12580 layer_factory.hpp:77] Creating layer B
I0624 02:49:31.030449 12580 net.cpp:86] Creating Layer B
I0624 02:49:31.030460 12580 net.cpp:408] B <- data_data_0_split_1
I0624 02:49:31.030474 12580 net.cpp:382] B -> B
I0624 02:49:31.030498 12580 net.cpp:124] Setting up B
I0624 02:49:31.030508 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.030520 12580 net.cpp:139] Memory required for data: 2008
I0624 02:49:31.030537 12580 layer_factory.hpp:77] Creating layer AorB
I0624 02:49:31.030553 12580 net.cpp:86] Creating Layer AorB
I0624 02:49:31.030565 12580 net.cpp:408] AorB <- data_data_0_split_2
I0624 02:49:31.030580 12580 net.cpp:382] AorB -> AorB
I0624 02:49:31.030603 12580 net.cpp:124] Setting up AorB
I0624 02:49:31.030614 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.030627 12580 net.cpp:139] Memory required for data: 2012
I0624 02:49:31.030643 12580 layer_factory.hpp:77] Creating layer AandB
I0624 02:49:31.030658 12580 net.cpp:86] Creating Layer AandB
I0624 02:49:31.030669 12580 net.cpp:408] AandB <- data_data_0_split_3
I0624 02:49:31.030684 12580 net.cpp:382] AandB -> AandB
I0624 02:49:31.030711 12580 net.cpp:124] Setting up AandB
I0624 02:49:31.030722 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.030735 12580 net.cpp:139] Memory required for data: 2016
I0624 02:49:31.030750 12580 net.cpp:202] AandB does not need backward computation.
I0624 02:49:31.030761 12580 net.cpp:202] AorB does not need backward computation.
I0624 02:49:31.030773 12580 net.cpp:202] B does not need backward computation.
I0624 02:49:31.030784 12580 net.cpp:202] A does not need backward computation.
I0624 02:49:31.030797 12580 net.cpp:202] data_data_0_split does not need backward computation.
I0624 02:49:31.030808 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.030818 12580 net.cpp:244] This network produces output A
I0624 02:49:31.030829 12580 net.cpp:244] This network produces output AandB
I0624 02:49:31.030840 12580 net.cpp:244] This network produces output AorB
I0624 02:49:31.030853 12580 net.cpp:244] This network produces output B
I0624 02:49:31.030870 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.037900 12580 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A
I0624 02:49:31.037927 12580 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB
I0624 02:49:31.037945 12580 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB
I0624 02:49:31.037957 12580 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
}
}
I0624 02:49:31.038108 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.038130 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.038147 12580 net.cpp:382] data -> data
I0624 02:49:31.038180 12580 net.cpp:124] Setting up data
I0624 02:49:31.038194 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.038211 12580 net.cpp:139] Memory required for data: 400
I0624 02:49:31.038224 12580 layer_factory.hpp:77] Creating layer data_data_0_split
I0624 02:49:31.038244 12580 net.cpp:86] Creating Layer data_data_0_split
I0624 02:49:31.038257 12580 net.cpp:408] data_data_0_split <- data
I0624 02:49:31.038275 12580 net.cpp:382] data_data_0_split -> data_data_0_split_0
I0624 02:49:31.038296 12580 net.cpp:382] data_data_0_split -> data_data_0_split_1
I0624 02:49:31.038319 12580 net.cpp:124] Setting up data_data_0_split
I0624 02:49:31.038333 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.038350 12580 net.cpp:131] Top shape: 1 1 10 10 (100)
I0624 02:49:31.038365 12580 net.cpp:139] Memory required for data: 1200
I0624 02:49:31.038378 12580 layer_factory.hpp:77] Creating layer B
I0624 02:49:31.038398 12580 net.cpp:86] Creating Layer B
I0624 02:49:31.038410 12580 net.cpp:408] B <- data_data_0_split_0
I0624 02:49:31.038429 12580 net.cpp:382] B -> B
I0624 02:49:31.038460 12580 net.cpp:124] Setting up B
I0624 02:49:31.038472 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.038487 12580 net.cpp:139] Memory required for data: 1204
I0624 02:49:31.038511 12580 layer_factory.hpp:77] Creating layer AorB
I0624 02:49:31.038528 12580 net.cpp:86] Creating Layer AorB
I0624 02:49:31.038542 12580 net.cpp:408] AorB <- data_data_0_split_1
I0624 02:49:31.038560 12580 net.cpp:382] AorB -> AorB
I0624 02:49:31.038589 12580 net.cpp:124] Setting up AorB
I0624 02:49:31.038601 12580 net.cpp:131] Top shape: 1 1 (1)
I0624 02:49:31.038616 12580 net.cpp:139] Memory required for data: 1208
I0624 02:49:31.038636 12580 net.cpp:202] AorB does not need backward computation.
I0624 02:49:31.038650 12580 net.cpp:202] B does not need backward computation.
I0624 02:49:31.038667 12580 net.cpp:202] data_data_0_split does not need backward computation.
I0624 02:49:31.038681 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.038692 12580 net.cpp:244] This network produces output AorB
I0624 02:49:31.038705 12580 net.cpp:244] This network produces output B
I0624 02:49:31.038725 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.045996 12580 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"
}
I0624 02:49:31.046299 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.046324 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.046342 12580 net.cpp:382] data -> data
I0624 02:49:31.046370 12580 net.cpp:382] data -> label
I0624 02:49:31.046494 12580 net.cpp:124] Setting up data
I0624 02:49:31.046509 12580 net.cpp:131] Top shape: 50 1 28 28 (39200)
I0624 02:49:31.046528 12580 net.cpp:131] Top shape: 50 1 1 1 (50)
I0624 02:49:31.046545 12580 net.cpp:139] Memory required for data: 157000
I0624 02:49:31.046558 12580 layer_factory.hpp:77] Creating layer conv1
I0624 02:49:31.046581 12580 net.cpp:86] Creating Layer conv1
I0624 02:49:31.046595 12580 net.cpp:408] conv1 <- data
I0624 02:49:31.046613 12580 net.cpp:382] conv1 -> conv1
I0624 02:49:31.046707 12580 net.cpp:124] Setting up conv1
I0624 02:49:31.046720 12580 net.cpp:131] Top shape: 50 20 24 24 (576000)
I0624 02:49:31.046738 12580 net.cpp:139] Memory required for data: 2461000
I0624 02:49:31.046761 12580 layer_factory.hpp:77] Creating layer pool1
I0624 02:49:31.046780 12580 net.cpp:86] Creating Layer pool1
I0624 02:49:31.046792 12580 net.cpp:408] pool1 <- conv1
I0624 02:49:31.046809 12580 net.cpp:382] pool1 -> pool1
I0624 02:49:31.047544 12580 net.cpp:124] Setting up pool1
I0624 02:49:31.047562 12580 net.cpp:131] Top shape: 50 20 12 12 (144000)
I0624 02:49:31.047580 12580 net.cpp:139] Memory required for data: 3037000
I0624 02:49:31.047593 12580 layer_factory.hpp:77] Creating layer conv2
I0624 02:49:31.047614 12580 net.cpp:86] Creating Layer conv2
I0624 02:49:31.047627 12580 net.cpp:408] conv2 <- pool1
I0624 02:49:31.047646 12580 net.cpp:382] conv2 -> conv2
I0624 02:49:31.049443 12580 net.cpp:124] Setting up conv2
I0624 02:49:31.049458 12580 net.cpp:131] Top shape: 50 50 8 8 (160000)
I0624 02:49:31.049518 12580 net.cpp:139] Memory required for data: 3677000
I0624 02:49:31.049551 12580 layer_factory.hpp:77] Creating layer pool2
I0624 02:49:31.049576 12580 net.cpp:86] Creating Layer pool2
I0624 02:49:31.049597 12580 net.cpp:408] pool2 <- conv2
I0624 02:49:31.049619 12580 net.cpp:382] pool2 -> pool2
I0624 02:49:31.049649 12580 net.cpp:124] Setting up pool2
I0624 02:49:31.049665 12580 net.cpp:131] Top shape: 50 50 4 4 (40000)
I0624 02:49:31.049687 12580 net.cpp:139] Memory required for data: 3837000
I0624 02:49:31.049705 12580 layer_factory.hpp:77] Creating layer ip1
I0624 02:49:31.049731 12580 net.cpp:86] Creating Layer ip1
I0624 02:49:31.049746 12580 net.cpp:408] ip1 <- pool2
I0624 02:49:31.049763 12580 net.cpp:382] ip1 -> ip1
I0624 02:49:31.073365 12580 net.cpp:124] Setting up ip1
I0624 02:49:31.073386 12580 net.cpp:131] Top shape: 50 500 (25000)
I0624 02:49:31.073400 12580 net.cpp:139] Memory required for data: 3937000
I0624 02:49:31.073419 12580 layer_factory.hpp:77] Creating layer relu1
I0624 02:49:31.073436 12580 net.cpp:86] Creating Layer relu1
I0624 02:49:31.073446 12580 net.cpp:408] relu1 <- ip1
I0624 02:49:31.073460 12580 net.cpp:369] relu1 -> ip1 (in-place)
I0624 02:49:31.073508 12580 net.cpp:124] Setting up relu1
I0624 02:49:31.073520 12580 net.cpp:131] Top shape: 50 500 (25000)
I0624 02:49:31.073531 12580 net.cpp:139] Memory required for data: 4037000
I0624 02:49:31.073541 12580 layer_factory.hpp:77] Creating layer ip2
I0624 02:49:31.073556 12580 net.cpp:86] Creating Layer ip2
I0624 02:49:31.073570 12580 net.cpp:408] ip2 <- ip1
I0624 02:49:31.073588 12580 net.cpp:382] ip2 -> ip2
I0624 02:49:31.073876 12580 net.cpp:124] Setting up ip2
I0624 02:49:31.073886 12580 net.cpp:131] Top shape: 50 10 (500)
I0624 02:49:31.073897 12580 net.cpp:139] Memory required for data: 4039000
I0624 02:49:31.073910 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.073925 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.073935 12580 net.cpp:408] loss <- ip2
I0624 02:49:31.073945 12580 net.cpp:408] loss <- label
I0624 02:49:31.073957 12580 net.cpp:382] loss -> loss
I0624 02:49:31.073976 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.074002 12580 net.cpp:124] Setting up loss
I0624 02:49:31.074012 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.074023 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.074043 12580 net.cpp:139] Memory required for data: 4039004
I0624 02:49:31.074052 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.074064 12580 net.cpp:200] ip2 needs backward computation.
I0624 02:49:31.074072 12580 net.cpp:200] relu1 needs backward computation.
I0624 02:49:31.074081 12580 net.cpp:200] ip1 needs backward computation.
I0624 02:49:31.074091 12580 net.cpp:200] pool2 needs backward computation.
I0624 02:49:31.074101 12580 net.cpp:200] conv2 needs backward computation.
I0624 02:49:31.074111 12580 net.cpp:200] pool1 needs backward computation.
I0624 02:49:31.074121 12580 net.cpp:200] conv1 needs backward computation.
I0624 02:49:31.074131 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.074141 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.074157 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.081918 12580 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"
}
I0624 02:49:31.082195 12580 layer_factory.hpp:77] Creating layer DummyData1
I0624 02:49:31.082213 12580 net.cpp:86] Creating Layer DummyData1
I0624 02:49:31.082227 12580 net.cpp:382] DummyData1 -> DummyData1
I0624 02:49:31.082247 12580 net.cpp:382] DummyData1 -> DummyData2
I0624 02:49:31.082335 12580 net.cpp:124] Setting up DummyData1
I0624 02:49:31.082345 12580 net.cpp:131] Top shape: 50 1 28 28 (39200)
I0624 02:49:31.082360 12580 net.cpp:131] Top shape: 50 1 1 1 (50)
I0624 02:49:31.082372 12580 net.cpp:139] Memory required for data: 157000
I0624 02:49:31.082382 12580 layer_factory.hpp:77] Creating layer Convolution1
I0624 02:49:31.082398 12580 net.cpp:86] Creating Layer Convolution1
I0624 02:49:31.082408 12580 net.cpp:408] Convolution1 <- DummyData1
I0624 02:49:31.082422 12580 net.cpp:382] Convolution1 -> Convolution1
I0624 02:49:31.082490 12580 net.cpp:124] Setting up Convolution1
I0624 02:49:31.082500 12580 net.cpp:131] Top shape: 50 20 24 24 (576000)
I0624 02:49:31.082512 12580 net.cpp:139] Memory required for data: 2461000
I0624 02:49:31.082530 12580 layer_factory.hpp:77] Creating layer Pooling1
I0624 02:49:31.082545 12580 net.cpp:86] Creating Layer Pooling1
I0624 02:49:31.082554 12580 net.cpp:408] Pooling1 <- Convolution1
I0624 02:49:31.082566 12580 net.cpp:382] Pooling1 -> Pooling1
I0624 02:49:31.082584 12580 net.cpp:124] Setting up Pooling1
I0624 02:49:31.082593 12580 net.cpp:131] Top shape: 50 20 12 12 (144000)
I0624 02:49:31.082607 12580 net.cpp:139] Memory required for data: 3037000
I0624 02:49:31.082615 12580 layer_factory.hpp:77] Creating layer Convolution2
I0624 02:49:31.082628 12580 net.cpp:86] Creating Layer Convolution2
I0624 02:49:31.082638 12580 net.cpp:408] Convolution2 <- Pooling1
I0624 02:49:31.082650 12580 net.cpp:382] Convolution2 -> Convolution2
I0624 02:49:31.083973 12580 net.cpp:124] Setting up Convolution2
I0624 02:49:31.083999 12580 net.cpp:131] Top shape: 50 50 8 8 (160000)
I0624 02:49:31.084012 12580 net.cpp:139] Memory required for data: 3677000
I0624 02:49:31.084028 12580 layer_factory.hpp:77] Creating layer Pooling2
I0624 02:49:31.084041 12580 net.cpp:86] Creating Layer Pooling2
I0624 02:49:31.084051 12580 net.cpp:408] Pooling2 <- Convolution2
I0624 02:49:31.084064 12580 net.cpp:382] Pooling2 -> Pooling2
I0624 02:49:31.084079 12580 net.cpp:124] Setting up Pooling2
I0624 02:49:31.084089 12580 net.cpp:131] Top shape: 50 50 4 4 (40000)
I0624 02:49:31.084101 12580 net.cpp:139] Memory required for data: 3837000
I0624 02:49:31.084112 12580 layer_factory.hpp:77] Creating layer InnerProduct1
I0624 02:49:31.084126 12580 net.cpp:86] Creating Layer InnerProduct1
I0624 02:49:31.084136 12580 net.cpp:408] InnerProduct1 <- Pooling2
I0624 02:49:31.084147 12580 net.cpp:382] InnerProduct1 -> InnerProduct1
I0624 02:49:31.104415 12580 net.cpp:124] Setting up InnerProduct1
I0624 02:49:31.104449 12580 net.cpp:131] Top shape: 50 500 (25000)
I0624 02:49:31.104458 12580 net.cpp:139] Memory required for data: 3937000
I0624 02:49:31.104475 12580 layer_factory.hpp:77] Creating layer ReLU1
I0624 02:49:31.104487 12580 net.cpp:86] Creating Layer ReLU1
I0624 02:49:31.104496 12580 net.cpp:408] ReLU1 <- InnerProduct1
I0624 02:49:31.104506 12580 net.cpp:369] ReLU1 -> InnerProduct1 (in-place)
I0624 02:49:31.104518 12580 net.cpp:124] Setting up ReLU1
I0624 02:49:31.104526 12580 net.cpp:131] Top shape: 50 500 (25000)
I0624 02:49:31.104540 12580 net.cpp:139] Memory required for data: 4037000
I0624 02:49:31.104547 12580 layer_factory.hpp:77] Creating layer InnerProduct2
I0624 02:49:31.104557 12580 net.cpp:86] Creating Layer InnerProduct2
I0624 02:49:31.104564 12580 net.cpp:408] InnerProduct2 <- InnerProduct1
I0624 02:49:31.104578 12580 net.cpp:382] InnerProduct2 -> InnerProduct2
I0624 02:49:31.104795 12580 net.cpp:124] Setting up InnerProduct2
I0624 02:49:31.104822 12580 net.cpp:131] Top shape: 50 10 (500)
I0624 02:49:31.104831 12580 net.cpp:139] Memory required for data: 4039000
I0624 02:49:31.104841 12580 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1
I0624 02:49:31.104856 12580 net.cpp:86] Creating Layer SoftmaxWithLoss1
I0624 02:49:31.104864 12580 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2
I0624 02:49:31.104872 12580 net.cpp:408] SoftmaxWithLoss1 <- DummyData2
I0624 02:49:31.104883 12580 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1
I0624 02:49:31.104900 12580 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1
I0624 02:49:31.104981 12580 net.cpp:124] Setting up SoftmaxWithLoss1
I0624 02:49:31.104990 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.104998 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.105013 12580 net.cpp:139] Memory required for data: 4039004
I0624 02:49:31.105021 12580 net.cpp:200] SoftmaxWithLoss1 needs backward computation.
I0624 02:49:31.105029 12580 net.cpp:200] InnerProduct2 needs backward computation.
I0624 02:49:31.105037 12580 net.cpp:200] ReLU1 needs backward computation.
I0624 02:49:31.105044 12580 net.cpp:200] InnerProduct1 needs backward computation.
I0624 02:49:31.105052 12580 net.cpp:200] Pooling2 needs backward computation.
I0624 02:49:31.105060 12580 net.cpp:200] Convolution2 needs backward computation.
I0624 02:49:31.105068 12580 net.cpp:200] Pooling1 needs backward computation.
I0624 02:49:31.105077 12580 net.cpp:200] Convolution1 needs backward computation.
I0624 02:49:31.105084 12580 net.cpp:202] DummyData1 does not need backward computation.
I0624 02:49:31.105091 12580 net.cpp:244] This network produces output SoftmaxWithLoss1
I0624 02:49:31.105105 12580 net.cpp:257] Network initialization done.
./build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead.
with self.assertRaisesRegexp(TypeError, r):
.I0624 02:49:31.121729 12580 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"
}
I0624 02:49:31.121821 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.121835 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.121846 12580 net.cpp:382] data -> data
I0624 02:49:31.121862 12580 net.cpp:382] data -> data2
I0624 02:49:31.121886 12580 net.cpp:124] Setting up data
I0624 02:49:31.121893 12580 net.cpp:131] Top shape: 3 (3)
I0624 02:49:31.121903 12580 net.cpp:131] Top shape: 3 (3)
I0624 02:49:31.121912 12580 net.cpp:139] Memory required for data: 24
I0624 02:49:31.121920 12580 layer_factory.hpp:77] Creating layer silence_data
I0624 02:49:31.121932 12580 net.cpp:86] Creating Layer silence_data
I0624 02:49:31.121940 12580 net.cpp:408] silence_data <- data
I0624 02:49:31.121949 12580 net.cpp:124] Setting up silence_data
I0624 02:49:31.121956 12580 net.cpp:139] Memory required for data: 24
I0624 02:49:31.122030 12580 layer_factory.hpp:77] Creating layer silence_data2
I0624 02:49:31.122048 12580 net.cpp:86] Creating Layer silence_data2
I0624 02:49:31.122076 12580 net.cpp:408] silence_data2 <- data2
I0624 02:49:31.122090 12580 net.cpp:124] Setting up silence_data2
I0624 02:49:31.122102 12580 net.cpp:139] Memory required for data: 24
I0624 02:49:31.122146 12580 net.cpp:202] silence_data2 does not need backward computation.
I0624 02:49:31.122160 12580 net.cpp:202] silence_data does not need backward computation.
I0624 02:49:31.122174 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.122190 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.129887 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp_l7wuxp9
I0624 02:49:31.129921 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.129935 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.129976 12580 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"
}
}
I0624 02:49:31.130113 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.130136 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.130152 12580 net.cpp:382] input -> data
I0624 02:49:31.130180 12580 net.cpp:124] Setting up input
I0624 02:49:31.130194 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.130210 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.130224 12580 layer_factory.hpp:77] Creating layer one
I0624 02:49:31.130311 12580 net.cpp:86] Creating Layer one
I0624 02:49:31.130327 12580 net.cpp:408] one <- data
I0624 02:49:31.130345 12580 net.cpp:382] one -> one
I0624 02:49:31.130432 12580 net.cpp:124] Setting up one
I0624 02:49:31.130447 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.130462 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.130475 12580 layer_factory.hpp:77] Creating layer two
I0624 02:49:31.130525 12580 net.cpp:86] Creating Layer two
I0624 02:49:31.130539 12580 net.cpp:408] two <- one
I0624 02:49:31.130556 12580 net.cpp:382] two -> two
I0624 02:49:31.130610 12580 net.cpp:124] Setting up two
I0624 02:49:31.130625 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.130640 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.130652 12580 layer_factory.hpp:77] Creating layer three
I0624 02:49:31.130707 12580 net.cpp:86] Creating Layer three
I0624 02:49:31.130722 12580 net.cpp:408] three <- two
I0624 02:49:31.130743 12580 net.cpp:382] three -> three
I0624 02:49:31.130802 12580 net.cpp:124] Setting up three
I0624 02:49:31.130818 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.130836 12580 net.cpp:139] Memory required for data: 11520
I0624 02:49:31.130851 12580 net.cpp:202] three does not need backward computation.
I0624 02:49:31.130865 12580 net.cpp:202] two does not need backward computation.
I0624 02:49:31.130880 12580 net.cpp:202] one does not need backward computation.
I0624 02:49:31.130898 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.130913 12580 net.cpp:244] This network produces output three
I0624 02:49:31.130934 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.149772 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpthjox1fv
I0624 02:49:31.149797 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.149807 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.149840 12580 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"
}
}
I0624 02:49:31.149964 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.149982 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.149996 12580 net.cpp:382] input -> data
I0624 02:49:31.150017 12580 net.cpp:124] Setting up input
I0624 02:49:31.150027 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.150039 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.150050 12580 layer_factory.hpp:77] Creating layer one
I0624 02:49:31.150106 12580 net.cpp:86] Creating Layer one
I0624 02:49:31.150120 12580 net.cpp:408] one <- data
I0624 02:49:31.150135 12580 net.cpp:382] one -> one
I0624 02:49:31.150195 12580 net.cpp:124] Setting up one
I0624 02:49:31.150209 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.150223 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.150233 12580 layer_factory.hpp:77] Creating layer two
I0624 02:49:31.150269 12580 net.cpp:86] Creating Layer two
I0624 02:49:31.150281 12580 net.cpp:408] two <- one
I0624 02:49:31.150296 12580 net.cpp:382] two -> two
I0624 02:49:31.150337 12580 net.cpp:124] Setting up two
I0624 02:49:31.150347 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.150358 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.150367 12580 layer_factory.hpp:77] Creating layer three
I0624 02:49:31.150399 12580 net.cpp:86] Creating Layer three
I0624 02:49:31.150410 12580 net.cpp:408] three <- two
I0624 02:49:31.150422 12580 net.cpp:382] three -> three
I0624 02:49:31.150460 12580 net.cpp:124] Setting up three
I0624 02:49:31.150470 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.150481 12580 net.cpp:139] Memory required for data: 11520
I0624 02:49:31.150490 12580 net.cpp:202] three does not need backward computation.
I0624 02:49:31.150501 12580 net.cpp:202] two does not need backward computation.
I0624 02:49:31.150511 12580 net.cpp:202] one does not need backward computation.
I0624 02:49:31.150519 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.150528 12580 net.cpp:244] This network produces output three
I0624 02:49:31.150542 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.157755 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpp267q16u
I0624 02:49:31.157783 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.157795 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.157824 12580 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"
}
}
I0624 02:49:31.157902 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.157918 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.157932 12580 net.cpp:382] input -> data
I0624 02:49:31.157953 12580 net.cpp:124] Setting up input
I0624 02:49:31.157963 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.157975 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.157985 12580 layer_factory.hpp:77] Creating layer layer
I0624 02:49:31.158030 12580 net.cpp:86] Creating Layer layer
I0624 02:49:31.158041 12580 net.cpp:408] layer <- data
I0624 02:49:31.158054 12580 net.cpp:382] layer -> top
.I0624 02:49:31.165911 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp50tvprrz
I0624 02:49:31.165943 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.165956 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.165997 12580 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"
}
}
I0624 02:49:31.166134 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.166157 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.166173 12580 net.cpp:382] input -> data
I0624 02:49:31.166201 12580 net.cpp:124] Setting up input
I0624 02:49:31.166215 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.166239 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.166257 12580 layer_factory.hpp:77] Creating layer one
I0624 02:49:31.166325 12580 net.cpp:86] Creating Layer one
I0624 02:49:31.166343 12580 net.cpp:408] one <- data
I0624 02:49:31.166363 12580 net.cpp:382] one -> one
I0624 02:49:31.166452 12580 net.cpp:124] Setting up one
I0624 02:49:31.166467 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.166483 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.166496 12580 layer_factory.hpp:77] Creating layer two
I0624 02:49:31.166538 12580 net.cpp:86] Creating Layer two
I0624 02:49:31.166553 12580 net.cpp:408] two <- one
I0624 02:49:31.166570 12580 net.cpp:382] two -> two
I0624 02:49:31.166623 12580 net.cpp:124] Setting up two
I0624 02:49:31.166637 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.166653 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.166666 12580 layer_factory.hpp:77] Creating layer three
I0624 02:49:31.166704 12580 net.cpp:86] Creating Layer three
I0624 02:49:31.166718 12580 net.cpp:408] three <- two
I0624 02:49:31.166735 12580 net.cpp:382] three -> three
I0624 02:49:31.166786 12580 net.cpp:124] Setting up three
I0624 02:49:31.166800 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.166815 12580 net.cpp:139] Memory required for data: 11520
I0624 02:49:31.166827 12580 net.cpp:202] three does not need backward computation.
I0624 02:49:31.166841 12580 net.cpp:202] two does not need backward computation.
I0624 02:49:31.166853 12580 net.cpp:202] one does not need backward computation.
I0624 02:49:31.166867 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.166878 12580 net.cpp:244] This network produces output three
I0624 02:49:31.166898 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.177155 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpf2tp9w3k
I0624 02:49:31.177207 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.177222 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.177258 12580 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"
}
}
I0624 02:49:31.177388 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.177408 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.177425 12580 net.cpp:382] input -> data
I0624 02:49:31.177453 12580 net.cpp:124] Setting up input
I0624 02:49:31.177506 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.177534 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.177552 12580 layer_factory.hpp:77] Creating layer one
I0624 02:49:31.177610 12580 net.cpp:86] Creating Layer one
I0624 02:49:31.177624 12580 net.cpp:408] one <- data
I0624 02:49:31.177642 12580 net.cpp:382] one -> one
I0624 02:49:31.177707 12580 net.cpp:124] Setting up one
I0624 02:49:31.177721 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.177737 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.177750 12580 layer_factory.hpp:77] Creating layer two
I0624 02:49:31.177791 12580 net.cpp:86] Creating Layer two
I0624 02:49:31.177805 12580 net.cpp:408] two <- one
I0624 02:49:31.177822 12580 net.cpp:382] two -> two
I0624 02:49:31.177873 12580 net.cpp:124] Setting up two
I0624 02:49:31.177887 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.177902 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.177914 12580 layer_factory.hpp:77] Creating layer three
I0624 02:49:31.177953 12580 net.cpp:86] Creating Layer three
I0624 02:49:31.177968 12580 net.cpp:408] three <- two
I0624 02:49:31.177983 12580 net.cpp:382] three -> three
I0624 02:49:31.178035 12580 net.cpp:124] Setting up three
I0624 02:49:31.178047 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.178062 12580 net.cpp:139] Memory required for data: 11520
I0624 02:49:31.178074 12580 net.cpp:202] three does not need backward computation.
I0624 02:49:31.178087 12580 net.cpp:202] two does not need backward computation.
I0624 02:49:31.178100 12580 net.cpp:202] one does not need backward computation.
I0624 02:49:31.178113 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.178125 12580 net.cpp:244] This network produces output three
I0624 02:49:31.178144 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.178695 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpo14a4q3q
I0624 02:49:31.178719 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.178732 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.178758 12580 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"
}
}
I0624 02:49:31.178848 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.178869 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.178886 12580 net.cpp:382] input -> data
I0624 02:49:31.178910 12580 net.cpp:124] Setting up input
I0624 02:49:31.178923 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.178941 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.178954 12580 layer_factory.hpp:77] Creating layer layer
I0624 02:49:31.179003 12580 net.cpp:86] Creating Layer layer
I0624 02:49:31.179018 12580 net.cpp:408] layer <- data
I0624 02:49:31.179035 12580 net.cpp:382] layer -> top
I0624 02:49:31.179133 12580 net.cpp:124] Setting up layer
I0624 02:49:31.179175 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.179193 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.179215 12580 net.cpp:202] layer does not need backward computation.
I0624 02:49:31.179229 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.179242 12580 net.cpp:244] This network produces output top
I0624 02:49:31.179257 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.180768 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpo14a4q3q
I0624 02:49:31.180799 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.180814 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.180846 12580 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"
}
}
I0624 02:49:31.180956 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.180984 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.181005 12580 net.cpp:382] input -> data
I0624 02:49:31.181032 12580 net.cpp:124] Setting up input
I0624 02:49:31.181051 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.181071 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.181088 12580 layer_factory.hpp:77] Creating layer layer
I0624 02:49:31.181155 12580 net.cpp:86] Creating Layer layer
I0624 02:49:31.181176 12580 net.cpp:408] layer <- data
I0624 02:49:31.181200 12580 net.cpp:382] layer -> top
I0624 02:49:31.181314 12580 net.cpp:124] Setting up layer
I0624 02:49:31.181334 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.181354 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.181383 12580 net.cpp:202] layer does not need backward computation.
I0624 02:49:31.181398 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.181411 12580 net.cpp:244] This network produces output top
I0624 02:49:31.181427 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.183236 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp59cobuwf
I0624 02:49:31.183261 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.183274 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.183310 12580 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"
}
}
I0624 02:49:31.183439 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.183462 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.183486 12580 net.cpp:382] input -> data
I0624 02:49:31.183516 12580 net.cpp:124] Setting up input
I0624 02:49:31.183531 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.183550 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.183565 12580 layer_factory.hpp:77] Creating layer one
I0624 02:49:31.183625 12580 net.cpp:86] Creating Layer one
I0624 02:49:31.183645 12580 net.cpp:408] one <- data
I0624 02:49:31.183663 12580 net.cpp:382] one -> one
I0624 02:49:31.183728 12580 net.cpp:124] Setting up one
I0624 02:49:31.183743 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.183758 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.183771 12580 layer_factory.hpp:77] Creating layer two
I0624 02:49:31.183811 12580 net.cpp:86] Creating Layer two
I0624 02:49:31.183825 12580 net.cpp:408] two <- one
I0624 02:49:31.183841 12580 net.cpp:382] two -> two
I0624 02:49:31.183895 12580 net.cpp:124] Setting up two
I0624 02:49:31.183908 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.183924 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.183936 12580 layer_factory.hpp:77] Creating layer three
I0624 02:49:31.183974 12580 net.cpp:86] Creating Layer three
I0624 02:49:31.183988 12580 net.cpp:408] three <- two
I0624 02:49:31.184005 12580 net.cpp:382] three -> three
I0624 02:49:31.184056 12580 net.cpp:124] Setting up three
I0624 02:49:31.184069 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.184085 12580 net.cpp:139] Memory required for data: 11520
I0624 02:49:31.184098 12580 net.cpp:202] three does not need backward computation.
I0624 02:49:31.184110 12580 net.cpp:202] two does not need backward computation.
I0624 02:49:31.184123 12580 net.cpp:202] one does not need backward computation.
I0624 02:49:31.184136 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.184149 12580 net.cpp:244] This network produces output three
I0624 02:49:31.184166 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.184653 12580 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"
}
}
I0624 02:49:31.184718 12580 layer_factory.hpp:77] Creating layer layer
I0624 02:49:31.184767 12580 net.cpp:86] Creating Layer layer
I0624 02:49:31.184784 12580 net.cpp:382] layer -> phase
I0624 02:49:31.184831 12580 net.cpp:124] Setting up layer
I0624 02:49:31.184845 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.184860 12580 net.cpp:139] Memory required for data: 4
I0624 02:49:31.184873 12580 net.cpp:202] layer does not need backward computation.
I0624 02:49:31.184886 12580 net.cpp:244] This network produces output phase
I0624 02:49:31.184900 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.185403 12580 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"
}
}
I0624 02:49:31.185469 12580 layer_factory.hpp:77] Creating layer layer
I0624 02:49:31.185586 12580 net.cpp:86] Creating Layer layer
I0624 02:49:31.185603 12580 net.cpp:382] layer -> phase
I0624 02:49:31.185648 12580 net.cpp:124] Setting up layer
I0624 02:49:31.185662 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.185678 12580 net.cpp:139] Memory required for data: 4
I0624 02:49:31.185691 12580 net.cpp:202] layer does not need backward computation.
I0624 02:49:31.185703 12580 net.cpp:244] This network produces output phase
I0624 02:49:31.185717 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.186692 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp21fgf8vc
I0624 02:49:31.186718 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.186730 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.186766 12580 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"
}
}
I0624 02:49:31.186893 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.186914 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.186933 12580 net.cpp:382] input -> data
I0624 02:49:31.186956 12580 net.cpp:124] Setting up input
I0624 02:49:31.186969 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.186986 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.187000 12580 layer_factory.hpp:77] Creating layer one
I0624 02:49:31.187047 12580 net.cpp:86] Creating Layer one
I0624 02:49:31.187062 12580 net.cpp:408] one <- data
I0624 02:49:31.187078 12580 net.cpp:382] one -> one
I0624 02:49:31.187139 12580 net.cpp:124] Setting up one
I0624 02:49:31.187152 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.187168 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.187180 12580 layer_factory.hpp:77] Creating layer two
I0624 02:49:31.187219 12580 net.cpp:86] Creating Layer two
I0624 02:49:31.187233 12580 net.cpp:408] two <- one
I0624 02:49:31.187250 12580 net.cpp:382] two -> two
I0624 02:49:31.187302 12580 net.cpp:124] Setting up two
I0624 02:49:31.187317 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.187332 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.187347 12580 layer_factory.hpp:77] Creating layer three
I0624 02:49:31.187386 12580 net.cpp:86] Creating Layer three
I0624 02:49:31.187400 12580 net.cpp:408] three <- two
I0624 02:49:31.187417 12580 net.cpp:382] three -> three
I0624 02:49:31.187476 12580 net.cpp:124] Setting up three
I0624 02:49:31.187494 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.187511 12580 net.cpp:139] Memory required for data: 11520
I0624 02:49:31.187526 12580 net.cpp:202] three does not need backward computation.
I0624 02:49:31.187541 12580 net.cpp:202] two does not need backward computation.
I0624 02:49:31.187556 12580 net.cpp:202] one does not need backward computation.
I0624 02:49:31.187573 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.187589 12580 net.cpp:244] This network produces output three
I0624 02:49:31.187610 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.188951 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpn2l2zqtv
I0624 02:49:31.188975 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.188988 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.189020 12580 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"
}
}
I0624 02:49:31.189133 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.189153 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.189170 12580 net.cpp:382] input -> data
I0624 02:49:31.189195 12580 net.cpp:124] Setting up input
I0624 02:49:31.189208 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.189225 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.189239 12580 layer_factory.hpp:77] Creating layer mul10
I0624 02:49:31.189289 12580 net.cpp:86] Creating Layer mul10
I0624 02:49:31.189303 12580 net.cpp:408] mul10 <- data
I0624 02:49:31.189321 12580 net.cpp:382] mul10 -> mul10
I0624 02:49:31.189397 12580 net.cpp:124] Setting up mul10
I0624 02:49:31.189412 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.189429 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.189440 12580 layer_factory.hpp:77] Creating layer mul2
I0624 02:49:31.189539 12580 net.cpp:86] Creating Layer mul2
I0624 02:49:31.189560 12580 net.cpp:408] mul2 <- mul10
I0624 02:49:31.189579 12580 net.cpp:382] mul2 -> mul2
I0624 02:49:31.189654 12580 net.cpp:124] Setting up mul2
I0624 02:49:31.189673 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.189698 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.189713 12580 net.cpp:202] mul2 does not need backward computation.
I0624 02:49:31.189726 12580 net.cpp:202] mul10 does not need backward computation.
I0624 02:49:31.189739 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.189751 12580 net.cpp:244] This network produces output mul2
I0624 02:49:31.189769 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.201741 12580 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpkxvmjf87
I0624 02:49:31.201763 12580 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields.
W0624 02:49:31.201771 12580 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields.
I0624 02:49:31.201794 12580 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"
}
}
I0624 02:49:31.201866 12580 layer_factory.hpp:77] Creating layer input
I0624 02:49:31.201879 12580 net.cpp:86] Creating Layer input
I0624 02:49:31.201889 12580 net.cpp:382] input -> data
I0624 02:49:31.201905 12580 net.cpp:124] Setting up input
I0624 02:49:31.201913 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.201923 12580 net.cpp:139] Memory required for data: 2880
I0624 02:49:31.201930 12580 layer_factory.hpp:77] Creating layer mul10
I0624 02:49:31.201989 12580 net.cpp:86] Creating Layer mul10
I0624 02:49:31.201998 12580 net.cpp:408] mul10 <- data
I0624 02:49:31.202010 12580 net.cpp:382] mul10 -> mul10
I0624 02:49:31.202056 12580 net.cpp:124] Setting up mul10
I0624 02:49:31.202065 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.202075 12580 net.cpp:139] Memory required for data: 5760
I0624 02:49:31.202085 12580 layer_factory.hpp:77] Creating layer mul2
I0624 02:49:31.202116 12580 net.cpp:86] Creating Layer mul2
I0624 02:49:31.202124 12580 net.cpp:408] mul2 <- mul10
I0624 02:49:31.202133 12580 net.cpp:382] mul2 -> mul2
I0624 02:49:31.202167 12580 net.cpp:124] Setting up mul2
I0624 02:49:31.202175 12580 net.cpp:131] Top shape: 10 9 8 (720)
I0624 02:49:31.202184 12580 net.cpp:139] Memory required for data: 8640
I0624 02:49:31.202191 12580 net.cpp:202] mul2 does not need backward computation.
I0624 02:49:31.202198 12580 net.cpp:202] mul10 does not need backward computation.
I0624 02:49:31.202205 12580 net.cpp:202] input does not need backward computation.
I0624 02:49:31.202212 12580 net.cpp:244] This network produces output mul2
I0624 02:49:31.202222 12580 net.cpp:257] Network initialization done.
.I0624 02:49:31.221765 12580 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/tmpay20inkb"
snapshot_after_train: false
I0624 02:49:31.221881 12580 solver.cpp:102] Creating training net from net file: /tmp/tmpay20inkb
I0624 02:49:31.222133 12580 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"
}
I0624 02:49:31.222333 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.222358 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.222378 12580 net.cpp:382] data -> data
I0624 02:49:31.222405 12580 net.cpp:382] data -> label
I0624 02:49:31.222436 12580 net.cpp:124] Setting up data
I0624 02:49:31.222448 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.222463 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.222476 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.222487 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.222509 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.222520 12580 net.cpp:408] conv <- data
I0624 02:49:31.222537 12580 net.cpp:382] conv -> conv
I0624 02:49:31.222589 12580 net.cpp:124] Setting up conv
I0624 02:49:31.222600 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.222613 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.222633 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.222651 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.222661 12580 net.cpp:408] ip <- conv
I0624 02:49:31.222676 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.223009 12580 net.cpp:124] Setting up ip
I0624 02:49:31.223021 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.223032 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.223049 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.223065 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.223076 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.223088 12580 net.cpp:408] loss <- label
I0624 02:49:31.223102 12580 net.cpp:382] loss -> loss
I0624 02:49:31.223120 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.223148 12580 net.cpp:124] Setting up loss
I0624 02:49:31.223160 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.223171 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.223188 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.223199 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.223212 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.223222 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.223234 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.223245 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.223260 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.223462 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpay20inkb
I0624 02:49:31.223496 12580 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"
}
I0624 02:49:31.223652 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.223670 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.223686 12580 net.cpp:382] data -> data
I0624 02:49:31.223706 12580 net.cpp:382] data -> label
I0624 02:49:31.223727 12580 net.cpp:124] Setting up data
I0624 02:49:31.223738 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.223752 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.223767 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.223778 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.223795 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.223809 12580 net.cpp:408] conv <- data
I0624 02:49:31.223824 12580 net.cpp:382] conv -> conv
I0624 02:49:31.223866 12580 net.cpp:124] Setting up conv
I0624 02:49:31.223877 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.223891 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.223908 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.223924 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.223935 12580 net.cpp:408] ip <- conv
I0624 02:49:31.223949 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.224283 12580 net.cpp:124] Setting up ip
I0624 02:49:31.224294 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.224306 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.224323 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.224337 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.224349 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.224360 12580 net.cpp:408] loss <- label
I0624 02:49:31.224375 12580 net.cpp:382] loss -> loss
I0624 02:49:31.224391 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.224416 12580 net.cpp:124] Setting up loss
I0624 02:49:31.224426 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.224439 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.224453 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.224464 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.224476 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.224488 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.224499 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.224509 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.224524 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.224555 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.224668 12580 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/tmpay20inkb"
snapshot_after_train: false
I0624 02:49:31.224721 12580 solver.cpp:102] Creating training net from net file: /tmp/tmpay20inkb
I0624 02:49:31.224910 12580 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"
}
I0624 02:49:31.225061 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.225080 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.225095 12580 net.cpp:382] data -> data
I0624 02:49:31.225114 12580 net.cpp:382] data -> label
I0624 02:49:31.225136 12580 net.cpp:124] Setting up data
I0624 02:49:31.225148 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.225162 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.225175 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.225186 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.225204 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.225219 12580 net.cpp:408] conv <- data
I0624 02:49:31.225235 12580 net.cpp:382] conv -> conv
I0624 02:49:31.225277 12580 net.cpp:124] Setting up conv
I0624 02:49:31.225289 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.225302 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.225320 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.225337 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.225347 12580 net.cpp:408] ip <- conv
I0624 02:49:31.225363 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.225740 12580 net.cpp:124] Setting up ip
I0624 02:49:31.225754 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.225767 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.225785 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.225806 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.225817 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.225831 12580 net.cpp:408] loss <- label
I0624 02:49:31.225844 12580 net.cpp:382] loss -> loss
I0624 02:49:31.225862 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.225890 12580 net.cpp:124] Setting up loss
I0624 02:49:31.225903 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.225914 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.225930 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.225941 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.225953 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.225965 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.225975 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.225986 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.226002 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.226207 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpay20inkb
I0624 02:49:31.226240 12580 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"
}
I0624 02:49:31.226394 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.226413 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.226428 12580 net.cpp:382] data -> data
I0624 02:49:31.226446 12580 net.cpp:382] data -> label
I0624 02:49:31.226467 12580 net.cpp:124] Setting up data
I0624 02:49:31.226480 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.226493 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.226506 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.226516 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.226536 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.226547 12580 net.cpp:408] conv <- data
I0624 02:49:31.226562 12580 net.cpp:382] conv -> conv
I0624 02:49:31.226604 12580 net.cpp:124] Setting up conv
I0624 02:49:31.226615 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.226629 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.226647 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.226665 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.226675 12580 net.cpp:408] ip <- conv
I0624 02:49:31.226691 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.227022 12580 net.cpp:124] Setting up ip
I0624 02:49:31.227033 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.227046 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.227063 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.227078 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.227088 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.227100 12580 net.cpp:408] loss <- label
I0624 02:49:31.227114 12580 net.cpp:382] loss -> loss
I0624 02:49:31.227131 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.227156 12580 net.cpp:124] Setting up loss
I0624 02:49:31.227167 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.227180 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.227193 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.227205 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.227216 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.227227 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.227239 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.227249 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.227264 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.227295 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.228468 12580 sgd_solver.cpp:112] Iteration 0, lr = 0.01
.I0624 02:49:31.241714 12580 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/tmpci8wa_2a"
snapshot_after_train: false
I0624 02:49:31.241796 12580 solver.cpp:102] Creating training net from net file: /tmp/tmpci8wa_2a
I0624 02:49:31.242048 12580 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"
}
I0624 02:49:31.242242 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.242264 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.242281 12580 net.cpp:382] data -> data
I0624 02:49:31.242305 12580 net.cpp:382] data -> label
I0624 02:49:31.242341 12580 net.cpp:124] Setting up data
I0624 02:49:31.242353 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.242369 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.242383 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.242395 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.242415 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.242427 12580 net.cpp:408] conv <- data
I0624 02:49:31.242444 12580 net.cpp:382] conv -> conv
I0624 02:49:31.242493 12580 net.cpp:124] Setting up conv
I0624 02:49:31.242525 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.242539 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.242558 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.242576 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.242588 12580 net.cpp:408] ip <- conv
I0624 02:49:31.242604 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.242933 12580 net.cpp:124] Setting up ip
I0624 02:49:31.242966 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.242980 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.242997 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.243012 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.243023 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.243037 12580 net.cpp:408] loss <- label
I0624 02:49:31.243055 12580 net.cpp:382] loss -> loss
I0624 02:49:31.243073 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.243100 12580 net.cpp:124] Setting up loss
I0624 02:49:31.243129 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.243141 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.243158 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.243171 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.243183 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.243196 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.243207 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.243218 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.243235 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.243438 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpci8wa_2a
I0624 02:49:31.243494 12580 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"
}
I0624 02:49:31.243670 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.243705 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.243721 12580 net.cpp:382] data -> data
I0624 02:49:31.243741 12580 net.cpp:382] data -> label
I0624 02:49:31.243763 12580 net.cpp:124] Setting up data
I0624 02:49:31.243775 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.243790 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.243803 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.243814 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.243834 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.243845 12580 net.cpp:408] conv <- data
I0624 02:49:31.243861 12580 net.cpp:382] conv -> conv
I0624 02:49:31.243906 12580 net.cpp:124] Setting up conv
I0624 02:49:31.243933 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.243947 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.243964 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.243983 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.243996 12580 net.cpp:408] ip <- conv
I0624 02:49:31.244012 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.244344 12580 net.cpp:124] Setting up ip
I0624 02:49:31.244371 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.244385 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.244402 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.244416 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.244426 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.244438 12580 net.cpp:408] loss <- label
I0624 02:49:31.244452 12580 net.cpp:382] loss -> loss
I0624 02:49:31.244470 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.244494 12580 net.cpp:124] Setting up loss
I0624 02:49:31.244522 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.244536 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.244551 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.244562 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.244575 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.244593 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.244606 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.244616 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.244632 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.244663 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.244784 12580 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/tmpci8wa_2a"
snapshot_after_train: false
I0624 02:49:31.244856 12580 solver.cpp:102] Creating training net from net file: /tmp/tmpci8wa_2a
I0624 02:49:31.245049 12580 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"
}
I0624 02:49:31.245262 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.245282 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.245298 12580 net.cpp:382] data -> data
I0624 02:49:31.245321 12580 net.cpp:382] data -> label
I0624 02:49:31.245344 12580 net.cpp:124] Setting up data
I0624 02:49:31.245355 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.245373 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.245385 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.245398 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.245416 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.245429 12580 net.cpp:408] conv <- data
I0624 02:49:31.245445 12580 net.cpp:382] conv -> conv
I0624 02:49:31.245517 12580 net.cpp:124] Setting up conv
I0624 02:49:31.245553 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.245566 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.245586 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.245630 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.245646 12580 net.cpp:408] ip <- conv
I0624 02:49:31.245667 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.246011 12580 net.cpp:124] Setting up ip
I0624 02:49:31.246042 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.246055 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.246073 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.246089 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.246100 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.246112 12580 net.cpp:408] loss <- label
I0624 02:49:31.246126 12580 net.cpp:382] loss -> loss
I0624 02:49:31.246145 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.246171 12580 net.cpp:124] Setting up loss
I0624 02:49:31.246198 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.246212 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.246228 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.246239 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.246251 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.246263 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.246275 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.246289 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.246304 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.246515 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpci8wa_2a
I0624 02:49:31.246567 12580 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"
}
I0624 02:49:31.246743 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.246778 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.246793 12580 net.cpp:382] data -> data
I0624 02:49:31.246814 12580 net.cpp:382] data -> label
I0624 02:49:31.246835 12580 net.cpp:124] Setting up data
I0624 02:49:31.246847 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.246861 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.246874 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.246886 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.246906 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.246918 12580 net.cpp:408] conv <- data
I0624 02:49:31.246934 12580 net.cpp:382] conv -> conv
I0624 02:49:31.246975 12580 net.cpp:124] Setting up conv
I0624 02:49:31.247007 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.247022 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.247040 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.247057 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.247068 12580 net.cpp:408] ip <- conv
I0624 02:49:31.247083 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.247418 12580 net.cpp:124] Setting up ip
I0624 02:49:31.247445 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.247458 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.247475 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.247490 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.247503 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.247515 12580 net.cpp:408] loss <- label
I0624 02:49:31.247530 12580 net.cpp:382] loss -> loss
I0624 02:49:31.247547 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.247571 12580 net.cpp:124] Setting up loss
I0624 02:49:31.247601 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.247613 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.247628 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.247639 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.247651 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.247663 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.247674 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.247686 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.247702 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.247753 12580 solver.cpp:57] Solver scaffolding done.
.I0624 02:49:31.251713 12580 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/tmp5my4p6dp"
snapshot_after_train: false
I0624 02:49:31.251787 12580 solver.cpp:102] Creating training net from net file: /tmp/tmp5my4p6dp
I0624 02:49:31.252012 12580 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"
}
I0624 02:49:31.252195 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.252216 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.252233 12580 net.cpp:382] data -> data
I0624 02:49:31.252259 12580 net.cpp:382] data -> label
I0624 02:49:31.252292 12580 net.cpp:124] Setting up data
I0624 02:49:31.252306 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.252323 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.252339 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.252351 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.252377 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.252393 12580 net.cpp:408] conv <- data
I0624 02:49:31.252414 12580 net.cpp:382] conv -> conv
I0624 02:49:31.252472 12580 net.cpp:124] Setting up conv
I0624 02:49:31.252485 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.252497 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.252516 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.252533 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.252544 12580 net.cpp:408] ip <- conv
I0624 02:49:31.252559 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.252889 12580 net.cpp:124] Setting up ip
I0624 02:49:31.252902 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.252913 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.252930 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.252945 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.252956 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.252969 12580 net.cpp:408] loss <- label
I0624 02:49:31.252982 12580 net.cpp:382] loss -> loss
I0624 02:49:31.253000 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.253026 12580 net.cpp:124] Setting up loss
I0624 02:49:31.253036 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.253049 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.253065 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.253077 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.253088 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.253098 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.253110 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.253121 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.253136 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.253337 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp5my4p6dp
I0624 02:49:31.253372 12580 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"
}
I0624 02:49:31.253566 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.253584 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.253599 12580 net.cpp:382] data -> data
I0624 02:49:31.253619 12580 net.cpp:382] data -> label
I0624 02:49:31.253643 12580 net.cpp:124] Setting up data
I0624 02:49:31.253654 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.253667 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.253680 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.253690 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.253708 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.253720 12580 net.cpp:408] conv <- data
I0624 02:49:31.253736 12580 net.cpp:382] conv -> conv
I0624 02:49:31.253777 12580 net.cpp:124] Setting up conv
I0624 02:49:31.253788 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.253801 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.253819 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.253835 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.253846 12580 net.cpp:408] ip <- conv
I0624 02:49:31.253860 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.254189 12580 net.cpp:124] Setting up ip
I0624 02:49:31.254199 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.254211 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.254228 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.254242 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.254253 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.254264 12580 net.cpp:408] loss <- label
I0624 02:49:31.254278 12580 net.cpp:382] loss -> loss
I0624 02:49:31.254297 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.254320 12580 net.cpp:124] Setting up loss
I0624 02:49:31.254333 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.254344 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.254364 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.254375 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.254386 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.254398 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.254410 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.254420 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.254436 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.254467 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.254599 12580 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/tmp5my4p6dp"
snapshot_after_train: false
I0624 02:49:31.254655 12580 solver.cpp:102] Creating training net from net file: /tmp/tmp5my4p6dp
I0624 02:49:31.254848 12580 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"
}
I0624 02:49:31.255000 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.255017 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.255033 12580 net.cpp:382] data -> data
I0624 02:49:31.255053 12580 net.cpp:382] data -> label
I0624 02:49:31.255075 12580 net.cpp:124] Setting up data
I0624 02:49:31.255086 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.255101 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.255115 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.255125 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.255143 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.255154 12580 net.cpp:408] conv <- data
I0624 02:49:31.255170 12580 net.cpp:382] conv -> conv
I0624 02:49:31.255213 12580 net.cpp:124] Setting up conv
I0624 02:49:31.255223 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.255237 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.255256 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.255271 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.255283 12580 net.cpp:408] ip <- conv
I0624 02:49:31.255301 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.255630 12580 net.cpp:124] Setting up ip
I0624 02:49:31.255641 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.255657 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.255673 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.255688 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.255703 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.255714 12580 net.cpp:408] loss <- label
I0624 02:49:31.255728 12580 net.cpp:382] loss -> loss
I0624 02:49:31.255745 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.255770 12580 net.cpp:124] Setting up loss
I0624 02:49:31.255781 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.255793 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.255808 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.255820 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.255831 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.255842 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.255854 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.255867 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.255882 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.256080 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp5my4p6dp
I0624 02:49:31.256116 12580 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"
}
I0624 02:49:31.256317 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.256340 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.256356 12580 net.cpp:382] data -> data
I0624 02:49:31.256383 12580 net.cpp:382] data -> label
I0624 02:49:31.256410 12580 net.cpp:124] Setting up data
I0624 02:49:31.256426 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.256443 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.256460 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.256474 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.256498 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.256513 12580 net.cpp:408] conv <- data
I0624 02:49:31.256536 12580 net.cpp:382] conv -> conv
I0624 02:49:31.256597 12580 net.cpp:124] Setting up conv
I0624 02:49:31.256611 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.256629 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.256654 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.256680 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.256693 12580 net.cpp:408] ip <- conv
I0624 02:49:31.256711 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.257059 12580 net.cpp:124] Setting up ip
I0624 02:49:31.257071 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.257086 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.257102 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.257117 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.257128 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.257140 12580 net.cpp:408] loss <- label
I0624 02:49:31.257154 12580 net.cpp:382] loss -> loss
I0624 02:49:31.257172 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.257196 12580 net.cpp:124] Setting up loss
I0624 02:49:31.257208 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.257220 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.257236 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.257246 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.257258 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.257270 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.257282 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.257292 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.257308 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.257342 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.258445 12580 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel
I0624 02:49:31.265763 12580 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate
.I0624 02:49:31.346199 12580 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/tmpe2_0z5rj"
snapshot_after_train: false
I0624 02:49:31.346341 12580 solver.cpp:102] Creating training net from net file: /tmp/tmpe2_0z5rj
I0624 02:49:31.346697 12580 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"
}
I0624 02:49:31.346951 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.346982 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.347007 12580 net.cpp:382] data -> data
I0624 02:49:31.347040 12580 net.cpp:382] data -> label
I0624 02:49:31.347081 12580 net.cpp:124] Setting up data
I0624 02:49:31.347098 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.347121 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.347141 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.347157 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.347187 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.347203 12580 net.cpp:408] conv <- data
I0624 02:49:31.347229 12580 net.cpp:382] conv -> conv
I0624 02:49:31.347299 12580 net.cpp:124] Setting up conv
I0624 02:49:31.347316 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.347334 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.347362 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.347386 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.347402 12580 net.cpp:408] ip <- conv
I0624 02:49:31.347424 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.347903 12580 net.cpp:124] Setting up ip
I0624 02:49:31.347918 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.347936 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.347961 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.347982 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.347998 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.348016 12580 net.cpp:408] loss <- label
I0624 02:49:31.348037 12580 net.cpp:382] loss -> loss
I0624 02:49:31.348062 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.348101 12580 net.cpp:124] Setting up loss
I0624 02:49:31.348117 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.348134 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.348157 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.348173 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.348191 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.348206 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.348223 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.348238 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.348260 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.348546 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpe2_0z5rj
I0624 02:49:31.348595 12580 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"
}
I0624 02:49:31.348820 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.348846 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.348870 12580 net.cpp:382] data -> data
I0624 02:49:31.348897 12580 net.cpp:382] data -> label
I0624 02:49:31.348929 12580 net.cpp:124] Setting up data
I0624 02:49:31.348945 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.348965 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.348984 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.348999 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.349025 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.349041 12580 net.cpp:408] conv <- data
I0624 02:49:31.349063 12580 net.cpp:382] conv -> conv
I0624 02:49:31.349125 12580 net.cpp:124] Setting up conv
I0624 02:49:31.349143 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.349161 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.349187 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.349210 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.349225 12580 net.cpp:408] ip <- conv
I0624 02:49:31.349246 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.349809 12580 net.cpp:124] Setting up ip
I0624 02:49:31.349831 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.349850 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.349876 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.349898 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.349915 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.349932 12580 net.cpp:408] loss <- label
I0624 02:49:31.349952 12580 net.cpp:382] loss -> loss
I0624 02:49:31.349977 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.350013 12580 net.cpp:124] Setting up loss
I0624 02:49:31.350029 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.350046 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.350068 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.350085 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.350101 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.350117 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.350134 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.350149 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.350172 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.350217 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.350379 12580 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/tmpe2_0z5rj"
snapshot_after_train: false
I0624 02:49:31.350458 12580 solver.cpp:102] Creating training net from net file: /tmp/tmpe2_0z5rj
I0624 02:49:31.350731 12580 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"
}
I0624 02:49:31.351011 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.351039 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.351061 12580 net.cpp:382] data -> data
I0624 02:49:31.351089 12580 net.cpp:382] data -> label
I0624 02:49:31.351122 12580 net.cpp:124] Setting up data
I0624 02:49:31.351140 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.351159 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.351178 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.351193 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.351220 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.351236 12580 net.cpp:408] conv <- data
I0624 02:49:31.351259 12580 net.cpp:382] conv -> conv
I0624 02:49:31.351320 12580 net.cpp:124] Setting up conv
I0624 02:49:31.351336 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.351356 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.351382 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.351405 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.351420 12580 net.cpp:408] ip <- conv
I0624 02:49:31.351440 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.351914 12580 net.cpp:124] Setting up ip
I0624 02:49:31.351929 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.351948 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.352008 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.352030 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.352046 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.352063 12580 net.cpp:408] loss <- label
I0624 02:49:31.352082 12580 net.cpp:382] loss -> loss
I0624 02:49:31.352106 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.352141 12580 net.cpp:124] Setting up loss
I0624 02:49:31.352157 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.352174 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.352196 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.352211 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.352228 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.352244 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.352260 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.352277 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.352296 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.352584 12580 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpe2_0z5rj
I0624 02:49:31.352633 12580 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"
}
I0624 02:49:31.352859 12580 layer_factory.hpp:77] Creating layer data
I0624 02:49:31.352883 12580 net.cpp:86] Creating Layer data
I0624 02:49:31.352905 12580 net.cpp:382] data -> data
I0624 02:49:31.352932 12580 net.cpp:382] data -> label
I0624 02:49:31.352964 12580 net.cpp:124] Setting up data
I0624 02:49:31.352980 12580 net.cpp:131] Top shape: 5 2 3 4 (120)
I0624 02:49:31.353000 12580 net.cpp:131] Top shape: 5 1 1 1 (5)
I0624 02:49:31.353019 12580 net.cpp:139] Memory required for data: 500
I0624 02:49:31.353035 12580 layer_factory.hpp:77] Creating layer conv
I0624 02:49:31.353061 12580 net.cpp:86] Creating Layer conv
I0624 02:49:31.353077 12580 net.cpp:408] conv <- data
I0624 02:49:31.353101 12580 net.cpp:382] conv -> conv
I0624 02:49:31.353160 12580 net.cpp:124] Setting up conv
I0624 02:49:31.353176 12580 net.cpp:131] Top shape: 5 11 8 9 (3960)
I0624 02:49:31.353195 12580 net.cpp:139] Memory required for data: 16340
I0624 02:49:31.353221 12580 layer_factory.hpp:77] Creating layer ip
I0624 02:49:31.353243 12580 net.cpp:86] Creating Layer ip
I0624 02:49:31.353260 12580 net.cpp:408] ip <- conv
I0624 02:49:31.353279 12580 net.cpp:382] ip -> ip_blob
I0624 02:49:31.353812 12580 net.cpp:124] Setting up ip
I0624 02:49:31.353833 12580 net.cpp:131] Top shape: 5 13 (65)
I0624 02:49:31.353852 12580 net.cpp:139] Memory required for data: 16600
I0624 02:49:31.353878 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.353900 12580 net.cpp:86] Creating Layer loss
I0624 02:49:31.353916 12580 net.cpp:408] loss <- ip_blob
I0624 02:49:31.353935 12580 net.cpp:408] loss <- label
I0624 02:49:31.353955 12580 net.cpp:382] loss -> loss
I0624 02:49:31.353981 12580 layer_factory.hpp:77] Creating layer loss
I0624 02:49:31.354014 12580 net.cpp:124] Setting up loss
I0624 02:49:31.354030 12580 net.cpp:131] Top shape: (1)
I0624 02:49:31.354048 12580 net.cpp:134] with loss weight 1
I0624 02:49:31.354069 12580 net.cpp:139] Memory required for data: 16604
I0624 02:49:31.354084 12580 net.cpp:200] loss needs backward computation.
I0624 02:49:31.354102 12580 net.cpp:200] ip needs backward computation.
I0624 02:49:31.354118 12580 net.cpp:200] conv needs backward computation.
I0624 02:49:31.354135 12580 net.cpp:202] data does not need backward computation.
I0624 02:49:31.354151 12580 net.cpp:244] This network produces output loss
I0624 02:49:31.354171 12580 net.cpp:257] Network initialization done.
I0624 02:49:31.354215 12580 solver.cpp:57] Solver scaffolding done.
I0624 02:49:31.355738 12580 solver.cpp:289] Solving testnet
I0624 02:49:31.355767 12580 solver.cpp:290] Learning Rate Policy: inv
I0624 02:49:31.355823 12580 solver.cpp:347] Iteration 0, Testing net (#0)
I0624 02:49:31.359643 12580 solver.cpp:414] Test net output #0: loss = 77.1581 (* 1 = 77.1581 loss)
I0624 02:49:31.360657 12580 solver.cpp:239] Iteration 0 (-1.80627e+31 iter/s, 0.004s/100 iters), loss = 54.7382
I0624 02:49:31.360704 12580 solver.cpp:258] Train net output #0: loss = 54.7382 (* 1 = 54.7382 loss)
I0624 02:49:31.360733 12580 sgd_solver.cpp:112] Iteration 0, lr = 0.01
I0624 02:49:31.367163 12580 solver.cpp:347] Iteration 10, Testing net (#0)
I0624 02:49:31.369364 12580 solver.cpp:414] Test net output #0: loss = 78.3409 (* 1 = 78.3409 loss)
I0624 02:49:31.375885 12580 solver.cpp:347] Iteration 20, Testing net (#0)
I0624 02:49:31.378105 12580 solver.cpp:414] Test net output #0: loss = 81.9143 (* 1 = 81.9143 loss)
I0624 02:49:31.384105 12580 solver.cpp:347] Iteration 30, Testing net (#0)
I0624 02:49:31.385824 12580 solver.cpp:414] Test net output #0: loss = 78.5906 (* 1 = 78.5906 loss)
I0624 02:49:31.390677 12580 solver.cpp:347] Iteration 40, Testing net (#0)
I0624 02:49:31.392369 12580 solver.cpp:414] Test net output #0: loss = 86.0317 (* 1 = 86.0317 loss)
I0624 02:49:31.397274 12580 solver.cpp:347] Iteration 50, Testing net (#0)
I0624 02:49:31.398977 12580 solver.cpp:414] Test net output #0: loss = 84.937 (* 1 = 84.937 loss)
I0624 02:49:31.403894 12580 solver.cpp:347] Iteration 60, Testing net (#0)
I0624 02:49:31.405583 12580 solver.cpp:414] Test net output #0: loss = 83.0482 (* 1 = 83.0482 loss)
I0624 02:49:31.410471 12580 solver.cpp:347] Iteration 70, Testing net (#0)
I0624 02:49:31.412169 12580 solver.cpp:414] Test net output #0: loss = 81.3698 (* 1 = 81.3698 loss)
I0624 02:49:31.417037 12580 solver.cpp:347] Iteration 80, Testing net (#0)
I0624 02:49:31.418717 12580 solver.cpp:414] Test net output #0: loss = 81.3172 (* 1 = 81.3172 loss)
I0624 02:49:31.423676 12580 solver.cpp:347] Iteration 90, Testing net (#0)
I0624 02:49:31.425354 12580 solver.cpp:414] Test net output #0: loss = 81.9919 (* 1 = 81.9919 loss)
I0624 02:49:31.430424 12580 solver.cpp:327] Iteration 100, loss = 35.4066
I0624 02:49:31.430440 12580 solver.cpp:347] Iteration 100, Testing net (#0)
I0624 02:49:31.432155 12580 solver.cpp:414] Test net output #0: loss = 83.2784 (* 1 = 83.2784 loss)
I0624 02:49:31.432168 12580 solver.cpp:332] Optimization Done.
.
----------------------------------------------------------------------
Ran 52 tests in 22.100s
OK
make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
[100%] Built target pytest
make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
/usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0
make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
create-stamp debian/debhelper-build-stamp
fakeroot debian/rules binary
dh binary -Scmake --with python3,bash-completion
dh_testroot -O-Scmake
dh_prep -O-Scmake
debian/rules override_dh_auto_install-arch
make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_auto_install --builddirectory="caffe_cpu_build" -- install
cd caffe_cpu_build && make -j10 install DESTDIR=/build/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install
make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
/usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0
make -f CMakeFiles/Makefile2 preinstall
make[3]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
make[3]: Nothing to be done for 'preinstall'.
make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
Install the project...
/usr/bin/cmake -P cmake_install.cmake
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-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/bin/convert_mnist_siamese_data
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/classify.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/detect.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/draw_net.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/requirements.txt
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/train.py
-- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py
-- Up-to-date: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/classifier.py
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy
-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so
make[2]: Nothing to be done for 'install'.
make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build'
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
debian/rules override_dh_install
make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_install
# The upstream unittest can be used to verify the BLAS correctness.
# the two lines start with dash in order to avoid FTBFS on Arch=all.
mv caffe_cpu_build/test/test.testbin caffe-gtest
install -m0755 caffe-gtest debian/caffe/usr/bin/
dh_missing --list-missing
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_installdocs -O-Scmake
dh_installchangelogs -O-Scmake
dh_installexamples -O-Scmake
dh_installman -O-Scmake
dh_bash-completion -O-Scmake
debian/rules override_dh_python3
make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_python3 --requires=python/requirements.txt
I: dh_python3 fs:343: renaming _caffe.so to _caffe.cpython-39-i386-linux-gnu.so
dh_numpy3
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_installinit -O-Scmake
dh_lintian -O-Scmake
dh_perl -O-Scmake
dh_link -O-Scmake
dh_strip_nondeterminism -O-Scmake
dh_compress -O-Scmake
debian/rules override_dh_fixperms-arch
make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_fixperms
chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py
chmod -x debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_fixperms -O-Scmake -Ncaffe -Nlibcaffe1 -Nlibcaffe-dev -Npython3-caffe
dh_missing -O-Scmake
dh_dwz -a -O-Scmake
dh_strip -a -O-Scmake
debian/rules override_dh_makeshlibs
make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_makeshlibs --package=python3-caffe -X/usr/lib/python
dh_makeshlibs --remaining-packages
make[1]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997'
dh_shlibdeps -a -O-Scmake
dh_installdeb -O-Scmake
dh_gencontrol -O-Scmake
dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined
dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined
dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined
dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined
dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined
dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined
dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined
dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined
dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined
dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined
dh_md5sums -O-Scmake
dh_builddeb -O-Scmake
dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'.
dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_i386.deb'.
dpkg-genbuildinfo --build=binary
dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_i386.changes
dpkg-genchanges: info: binary-only upload (no source code included)
dpkg-source --after-build .
dpkg-buildpackage: info: binary-only upload (no source included)
I: copying local configuration
I: unmounting dev/ptmx filesystem
I: unmounting dev/pts filesystem
I: unmounting dev/shm filesystem
I: unmounting proc filesystem
I: unmounting sys filesystem
I: cleaning the build env
I: removing directory /srv/workspace/pbuilder/18462 and its subdirectories
I: Current time: Thu Jun 24 02:53:19 -12 2021
I: pbuilder-time-stamp: 1624546399