Diff of the two buildlogs: -- --- b1/build.log 2021-06-24 14:53:20.256216614 +0000 +++ b2/build.log 2021-06-24 15:01:46.629410889 +0000 @@ -1,6 +1,6 @@ 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: Current time: Thu Jul 28 11:16:22 +14 2022 +I: pbuilder-time-stamp: 1658956582 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration @@ -17,8 +17,8 @@ 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: keyblock resource '/tmp/dpkg-verify-sig.GN0MShxM/trustedkeys.kbx': General error +gpgv: Signature made Sat Nov 21 21:51:48 2020 +14 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: issuer "lumin@debian.org" gpgv: Can't check signature: No public key @@ -35,137 +35,171 @@ 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: user script /srv/workspace/pbuilder/56118/tmp/hooks/D01_modify_environment starting +debug: Running on ionos16-i386. +I: Changing host+domainname to test build reproducibility +I: Adding a custom variable just for the fun of it... +I: Changing /bin/sh to bash +Removing 'diversion of /bin/sh to /bin/sh.distrib by dash' +Adding 'diversion of /bin/sh to /bin/sh.distrib by bash' +Removing 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by dash' +Adding 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by bash' +I: Setting pbuilder2's login shell to /bin/bash +I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other +I: user script /srv/workspace/pbuilder/56118/tmp/hooks/D01_modify_environment finished +I: user script /srv/workspace/pbuilder/56118/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' + BASH=/bin/sh + BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:hostcomplete:interactive_comments:progcomp:promptvars:sourcepath + BASH_ALIASES=() + BASH_ARGC=() + BASH_ARGV=() + BASH_CMDS=() + BASH_LINENO=([0]="12" [1]="0") + BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") + BASH_VERSINFO=([0]="5" [1]="1" [2]="4" [3]="1" [4]="release" [5]="i686-pc-linux-gnu") + BASH_VERSION='5.1.4(1)-release' + BUILDDIR=/build + BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' + BUILDUSERNAME=pbuilder2 + BUILD_ARCH=i386 + DEBIAN_FRONTEND=noninteractive + DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=18' + DIRSTACK=() + DISTRIBUTION= + EUID=0 + FUNCNAME=([0]="Echo" [1]="main") + GROUPS=() + HOME=/root + HOSTNAME=i-capture-the-hostname + HOSTTYPE=i686 + 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='> ' + INVOCATION_ID=3b416f11ac4849ff9292dad11b7df9b2 + LANG=C + LANGUAGE=de_CH:de + LC_ALL=C + LD_LIBRARY_PATH=/usr/lib/libeatmydata + LD_PRELOAD=libeatmydata.so + MACHTYPE=i686-pc-linux-gnu + MAIL=/var/mail/root + OPTERR=1 + OPTIND=1 + OSTYPE=linux-gnu + PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path + PBCURRENTCOMMANDLINEOPERATION=build + PBUILDER_OPERATION=build + PBUILDER_PKGDATADIR=/usr/share/pbuilder + PBUILDER_PKGLIBDIR=/usr/lib/pbuilder + PBUILDER_SYSCONFDIR=/etc + PIPESTATUS=([0]="0") + POSIXLY_CORRECT=y + PPID=56118 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' + PWD=/ + SHELL=/bin/bash + SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix + SHLVL=3 + SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.imoUSf9adT/pbuilderrc_pEfz --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.imoUSf9adT/b2 --logfile b2/build.log --extrapackages usrmerge 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-14 + UID=0 + USER=root + _='I: set' + http_proxy=http://85.184.249.68:3128 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 + Linux i-capture-the-hostname 4.19.0-17-amd64 #1 SMP Debian 4.19.194-1 (2021-06-10) x86_64 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 + total 5776 + -rwxr-xr-x 1 root root 1367848 Jun 22 2021 bash + -rwxr-xr-x 3 root root 38280 Jul 21 2020 bunzip2 + -rwxr-xr-x 3 root root 38280 Jul 21 2020 bzcat + lrwxrwxrwx 1 root root 6 Jul 21 2020 bzcmp -> bzdiff + -rwxr-xr-x 1 root root 2225 Jul 21 2020 bzdiff + lrwxrwxrwx 1 root root 6 Jul 21 2020 bzegrep -> bzgrep + -rwxr-xr-x 1 root root 4877 Sep 5 2019 bzexe + lrwxrwxrwx 1 root root 6 Jul 21 2020 bzfgrep -> bzgrep + -rwxr-xr-x 1 root root 3775 Jul 21 2020 bzgrep + -rwxr-xr-x 3 root root 38280 Jul 21 2020 bzip2 + -rwxr-xr-x 1 root root 17768 Jul 21 2020 bzip2recover + lrwxrwxrwx 1 root root 6 Jul 21 2020 bzless -> bzmore + -rwxr-xr-x 1 root root 1297 Jul 21 2020 bzmore + -rwxr-xr-x 1 root root 38824 Sep 23 2020 cat + -rwxr-xr-x 1 root root 71624 Sep 23 2020 chgrp + -rwxr-xr-x 1 root root 67528 Sep 23 2020 chmod + -rwxr-xr-x 1 root root 75752 Sep 23 2020 chown + -rwxr-xr-x 1 root root 157960 Sep 23 2020 cp + -rwxr-xr-x 1 root root 128724 Dec 11 2020 dash + -rwxr-xr-x 1 root root 124904 Sep 23 2020 date + -rwxr-xr-x 1 root root 92172 Sep 23 2020 dd + -rwxr-xr-x 1 root root 100752 Sep 23 2020 df + -rwxr-xr-x 1 root root 153964 Sep 23 2020 dir + -rwxr-xr-x 1 root root 83644 Feb 8 2021 dmesg + lrwxrwxrwx 1 root root 8 Nov 8 2019 dnsdomainname -> hostname + lrwxrwxrwx 1 root root 8 Nov 8 2019 domainname -> hostname + -rwxr-xr-x 1 root root 34664 Sep 23 2020 echo + -rwxr-xr-x 1 root root 28 Nov 10 2020 egrep + -rwxr-xr-x 1 root root 34664 Sep 23 2020 false + -rwxr-xr-x 1 root root 28 Nov 10 2020 fgrep + -rwxr-xr-x 1 root root 71928 Feb 8 2021 findmnt + -rwsr-xr-x 1 root root 30112 Feb 27 2021 fusermount + -rwxr-xr-x 1 root root 210488 Nov 10 2020 grep + -rwxr-xr-x 2 root root 2346 Mar 3 2021 gunzip + -rwxr-xr-x 1 root root 6376 Mar 3 2021 gzexe + -rwxr-xr-x 1 root root 100952 Mar 3 2021 gzip + -rwxr-xr-x 1 root root 21916 Nov 8 2019 hostname + -rwxr-xr-x 1 root root 83980 Sep 23 2020 ln + -rwxr-xr-x 1 root root 55572 Feb 8 2020 login + -rwxr-xr-x 1 root root 153964 Sep 23 2020 ls + -rwxr-xr-x 1 root root 153124 Feb 8 2021 lsblk + -rwxr-xr-x 1 root root 96328 Sep 23 2020 mkdir + -rwxr-xr-x 1 root root 79912 Sep 23 2020 mknod + -rwxr-xr-x 1 root root 47048 Sep 23 2020 mktemp + -rwxr-xr-x 1 root root 58920 Feb 8 2021 more + -rwsr-xr-x 1 root root 50720 Feb 8 2021 mount + -rwxr-xr-x 1 root root 13856 Feb 8 2021 mountpoint + -rwxr-xr-x 1 root root 157996 Sep 23 2020 mv + lrwxrwxrwx 1 root root 8 Nov 8 2019 nisdomainname -> hostname + lrwxrwxrwx 1 root root 14 Apr 19 2021 pidof -> /sbin/killall5 + -rwxr-xr-x 1 root root 38824 Sep 23 2020 pwd + lrwxrwxrwx 1 root root 4 Jun 22 2021 rbash -> bash + -rwxr-xr-x 1 root root 46984 Sep 23 2020 readlink + -rwxr-xr-x 1 root root 75720 Sep 23 2020 rm + -rwxr-xr-x 1 root root 46984 Sep 23 2020 rmdir + -rwxr-xr-x 1 root root 22292 Sep 28 2020 run-parts + -rwxr-xr-x 1 root root 125036 Dec 23 2018 sed + lrwxrwxrwx 1 root root 4 Jul 28 11:16 sh -> bash + lrwxrwxrwx 1 root root 4 Jul 28 05:48 sh.distrib -> dash + -rwxr-xr-x 1 root root 34696 Sep 23 2020 sleep + -rwxr-xr-x 1 root root 83880 Sep 23 2020 stty + -rwsr-xr-x 1 root root 79396 Feb 8 2021 su + -rwxr-xr-x 1 root root 34696 Sep 23 2020 sync + -rwxr-xr-x 1 root root 602584 Feb 17 2021 tar + -rwxr-xr-x 1 root root 13860 Sep 28 2020 tempfile + -rwxr-xr-x 1 root root 108520 Sep 23 2020 touch + -rwxr-xr-x 1 root root 34664 Sep 23 2020 true + -rwxr-xr-x 1 root root 17768 Feb 27 2021 ulockmgr_server + -rwsr-xr-x 1 root root 30236 Feb 8 2021 umount + -rwxr-xr-x 1 root root 34664 Sep 23 2020 uname + -rwxr-xr-x 2 root root 2346 Mar 3 2021 uncompress + -rwxr-xr-x 1 root root 153964 Sep 23 2020 vdir + -rwxr-xr-x 1 root root 63024 Feb 8 2021 wdctl + lrwxrwxrwx 1 root root 8 Nov 8 2019 ypdomainname -> hostname + -rwxr-xr-x 1 root root 1984 Mar 3 2021 zcat + -rwxr-xr-x 1 root root 1678 Mar 3 2021 zcmp + -rwxr-xr-x 1 root root 5880 Mar 3 2021 zdiff + -rwxr-xr-x 1 root root 29 Mar 3 2021 zegrep + -rwxr-xr-x 1 root root 29 Mar 3 2021 zfgrep + -rwxr-xr-x 1 root root 2081 Mar 3 2021 zforce + -rwxr-xr-x 1 root root 7585 Mar 3 2021 zgrep + -rwxr-xr-x 1 root root 2206 Mar 3 2021 zless + -rwxr-xr-x 1 root root 1842 Mar 3 2021 zmore + -rwxr-xr-x 1 root root 4553 Mar 3 2021 znew +I: user script /srv/workspace/pbuilder/56118/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy @@ -841,7 +875,7 @@ 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) +Fetched 567 MB in 8s (68.9 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:i386. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19675 files and directories currently installed.) @@ -3125,9 +3159,41 @@ Building dependency tree... Reading state information... fakeroot is already the newest version (1.25.3-1.1). -0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. +The following additional packages will be installed: + libfile-find-rule-perl libnumber-compare-perl libtext-glob-perl +The following NEW packages will be installed: + libfile-find-rule-perl libnumber-compare-perl libtext-glob-perl usrmerge +0 upgraded, 4 newly installed, 0 to remove and 0 not upgraded. +Need to get 59.5 kB of archives. +After this operation, 157 kB of additional disk space will be used. +Get:1 http://deb.debian.org/debian bullseye/main i386 libnumber-compare-perl all 0.03-1.1 [6956 B] +Get:2 http://deb.debian.org/debian bullseye/main i386 libtext-glob-perl all 0.11-1 [8888 B] +Get:3 http://deb.debian.org/debian bullseye/main i386 libfile-find-rule-perl all 0.34-1 [30.6 kB] +Get:4 http://deb.debian.org/debian bullseye/main i386 usrmerge all 25 [13.0 kB] +debconf: delaying package configuration, since apt-utils is not installed +Fetched 59.5 kB in 0s (5197 kB/s) +Selecting previously unselected package libnumber-compare-perl. +(Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 101014 files and directories currently installed.) +Preparing to unpack .../libnumber-compare-perl_0.03-1.1_all.deb ... +Unpacking libnumber-compare-perl (0.03-1.1) ... +Selecting previously unselected package libtext-glob-perl. +Preparing to unpack .../libtext-glob-perl_0.11-1_all.deb ... +Unpacking libtext-glob-perl (0.11-1) ... +Selecting previously unselected package libfile-find-rule-perl. +Preparing to unpack .../libfile-find-rule-perl_0.34-1_all.deb ... +Unpacking libfile-find-rule-perl (0.34-1) ... +Selecting previously unselected package usrmerge. +Preparing to unpack .../archives/usrmerge_25_all.deb ... +Unpacking usrmerge (25) ... +Setting up libtext-glob-perl (0.11-1) ... +Setting up libnumber-compare-perl (0.03-1.1) ... +Setting up libfile-find-rule-perl (0.34-1) ... +Setting up usrmerge (25) ... +The system has been successfully converted. +Processing triggers for man-db (2.9.4-2) ... +Not building database; man-db/auto-update is not 'true'. 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 +I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8 dpkg-buildpackage: info: source distribution unstable @@ -3264,7 +3330,7 @@ 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 + cd caffe_cpu_build && make -j18 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe @@ -3304,26 +3370,42 @@ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/common.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/common.cpp +[ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o +[ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o +[ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o +[ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o -c 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-I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/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 +[ 13%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/bias_layer.cpp.o +[ 13%] 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 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/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 +cd 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/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/bias_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 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-fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/concat_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/concat_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/contrastive_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/contrastive_loss_layer.cpp In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, @@ -3344,35 +3426,11 @@ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ -[ 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::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': -/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here -/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] - 298 | } catch (bp::error_already_set) { - | ^~~~~~~~~~~~~~~~~ -/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': -/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here -/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] -[ 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 -[ 17%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/contrastive_loss_layer.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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 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-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 [ 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 -[ 21%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/crop_layer.cpp.o [ 21%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_conv_layer.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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 [ 21%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_deconv_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_deconv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_deconv_layer.cpp @@ -3406,6 +3464,14 @@ 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 +/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': +/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here +/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] + 298 | } catch (bp::error_already_set) { + | ^~~~~~~~~~~~~~~~~ +/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': +/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here +/build/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] [ 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 @@ -3414,23 +3480,23 @@ 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 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-I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -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 +[ 53%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/multinomial_logistic_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 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&& /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 [ 55%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/neuron_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/neuron_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/neuron_layer.cpp @@ -3450,10 +3516,10 @@ 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 [ 57%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/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 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-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/prelu_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/prelu_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/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 @@ -3465,9 +3531,9 @@ [ 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++ 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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 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-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_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 [ 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 @@ -3491,8 +3557,8 @@ [ 75%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/tile_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/tile_layer.cpp [ 76%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o -[ 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 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/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 [ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/parallel.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -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 @@ -3538,6 +3604,11 @@ 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/signal_handler.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/signal_handler.cpp [ 98%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/upgrade_proto.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/util/upgrade_proto.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/upgrade_proto.cpp +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 + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' + 36 | BOOST_PRAGMA_MESSAGE( + | ^~~~~~~~~~~~~~~~~~~~ /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp: In function 'bool caffe::ReadProtoFromBinaryFile(const char*, google::protobuf::Message*)': /build/caffe-1.0.0+git20180821.99bd997/src/caffe/util/io.cpp:60:66: warning: 'void google::protobuf::io::CodedInputStream::SetTotalBytesLimit(int, int)' is deprecated: Please use the single parameter version of SetTotalBytesLimit(). The second parameter is ignored. [-Wdeprecated-declarations] 60 | coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912); @@ -3546,11 +3617,6 @@ /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 + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' - 36 | BOOST_PRAGMA_MESSAGE( - | ^~~~~~~~~~~~~~~~~~~~ [100%] Linking CXX shared library ../../lib/libcaffe.so cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.dir/link.txt --verbose=1 /usr/bin/c++ -fPIC -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -shared -Wl,-soname,libcaffe.so.1.0.0 -o ../../lib/libcaffe.so.1.0.0 CMakeFiles/caffe.dir/blob.cpp.o CMakeFiles/caffe.dir/common.cpp.o CMakeFiles/caffe.dir/data_transformer.cpp.o CMakeFiles/caffe.dir/internal_thread.cpp.o CMakeFiles/caffe.dir/layer.cpp.o CMakeFiles/caffe.dir/layer_factory.cpp.o 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-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 -lsnappy /usr/lib/i386-linux-gnu/libopencv_highgui.so.4.5.1 -lblas -lpython3.9 /usr/lib/i386-linux-gnu/libboost_python39.so.1.74.0 /usr/lib/i386-linux-gnu/libboost_atomic.so.1.74.0 -lpthread /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 @@ -3633,9 +3699,9 @@ make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= -make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= +make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -3649,10 +3715,10 @@ make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend -make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= [ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp +make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -3689,41 +3755,41 @@ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp +[ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp -[ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp +[ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp -[ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o [ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -[ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp +[ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.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_accuracy_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.cpp +[ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c 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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_reduction_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reduction_layer.cpp [ 89%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_reshape_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_reshape_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_reshape_layer.cpp -[ 90%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o -[ 90%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_rnn_layer.cpp.o +[ 89%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_rnn_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_rnn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_rnn_layer.cpp +[ 90%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_scale_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_scale_layer.cpp [ 90%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_sigmoid_cross_entropy_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_sigmoid_cross_entropy_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp -[ 91%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_softmax_layer.cpp.o [ 91%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_slice_layer.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_slice_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_slice_layer.cpp +[ 91%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_softmax_layer.cpp.o +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_layer.cpp [ 93%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_softmax_with_loss_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_softmax_with_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_softmax_with_loss_layer.cpp [ 93%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_solver.cpp.o @@ -3811,9 +3877,9 @@ cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_split_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_split_layer.cpp [ 95%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_spp_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_spp_layer.cpp -[ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o -[ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_stochastic_pooling.cpp.o +[ 95%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_stochastic_pooling.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_stochastic_pooling.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_stochastic_pooling.cpp +[ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_syncedmem.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_syncedmem.cpp [ 96%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_tanh_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_tanh_layer.cpp @@ -3858,183 +3924,183 @@ make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/depend make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/depend -make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend -make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend -make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend -make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend -make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= -make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend +make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake --color= -make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake --color= +make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake --color= +make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend +make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake --color= +make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake --color= +make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend +make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= +make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= +make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake --color= +make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= +make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python 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Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/depend.internal". +Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". +Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/depend.internal". -Scanning dependencies of target compute_image_mean +Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/depend.internal". +Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/depend.internal". 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/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= -make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 90%] Built target convert_mnist_data -make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend -make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/depend.internal". -Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/depend.internal". -Scanning dependencies of target convert_cifar_data -make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/build -make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build -make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. -make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 92%] Built target pycaffe -[ 93%] Building CXX object examples/CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/examples/cifar10/convert_cifar_data.cpp [ 93%] Linking CXX executable convert_imageset cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_imageset.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -o convert_imageset ../lib/libcaffe.so.1.0.0 ../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 -[ 95%] Linking CXX executable upgrade_solver_proto_text -[ 96%] Linking CXX executable upgrade_net_proto_binary -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_proto_text.dir/link.txt --verbose=1 +[ 93%] Linking CXX executable siamese/convert_mnist_siamese_data +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_mnist_siamese_data.dir/link.txt --verbose=1 +/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o -o siamese/convert_mnist_siamese_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data.bin +make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 93%] Built target convert_mnist_data +[ 95%] Linking CXX executable upgrade_net_proto_binary cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_binary.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o -o upgrade_net_proto_binary ../lib/libcaffe.so.1.0.0 ../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 -/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -o upgrade_solver_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 -[ 98%] Linking CXX executable upgrade_net_proto_text +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data.bin +make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 96%] Linking CXX executable upgrade_net_proto_text cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_text.dir/link.txt --verbose=1 +[ 96%] Built target convert_mnist_siamese_data /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_text.dir/upgrade_net_proto_text.cpp.o -o upgrade_net_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target convert_imageset -make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target compute_image_mean +[ 96%] Built target convert_imageset +[ 96%] Linking CXX executable compute_image_mean +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/compute_image_mean.dir/link.txt --verbose=1 +/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/compute_image_mean.dir/compute_image_mean.cpp.o -o compute_image_mean ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 96%] Built target upgrade_net_proto_binary make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target upgrade_net_proto_binary -[ 98%] Built target upgrade_solver_proto_text +[ 96%] Built target upgrade_net_proto_text make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target upgrade_net_proto_text +[ 96%] Built target compute_image_mean +[ 98%] Linking CXX executable upgrade_solver_proto_text +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_proto_text.dir/link.txt --verbose=1 +/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -o upgrade_solver_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 [ 98%] Linking CXX executable extract_features cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/extract_features.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/extract_features.dir/extract_features.cpp.o -o extract_features ../lib/libcaffe.so.1.0.0 ../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 make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target extract_features -[ 98%] Linking CXX executable cifar10/convert_cifar_data -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_cifar_data.dir/link.txt --verbose=1 -/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_cifar_data.dir/cifar10/convert_cifar_data.cpp.o -o cifar10/convert_cifar_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 +[ 98%] Built target upgrade_solver_proto_text [ 98%] Linking CXX executable cpp_classification/classification cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/classification.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/classification.dir/cpp_classification/classification.cpp.o -o cpp_classification/classification ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target convert_cifar_data +[ 98%] Built target extract_features cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification.bin make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target classification @@ -11940,7 +12006,7 @@ make[1]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ - cd caffe_cpu_build && make -j10 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j10 + cd caffe_cpu_build && make -j18 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j18 make[2]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/caffe-1.0.0+git20180821.99bd997 -B/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 @@ -11953,16 +12019,16 @@ make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= -make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= +make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build -make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -11995,2798 +12061,2798 @@ make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997 && /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* -Note: Randomizing tests' orders with a seed of 89375 . +Note: Randomizing tests' orders with a seed of 15544 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. -[----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice -[ 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 -[ RUN ] ReshapeLayerTest/1.TestFlattenValues -[ OK ] ReshapeLayerTest/1.TestFlattenValues (2 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified -[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) -[ RUN ] ReshapeLayerTest/1.TestFlattenMiddle -[ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) -[ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape -[ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) -[ RUN ] ReshapeLayerTest/1.TestForward -[ OK ] ReshapeLayerTest/1.TestForward (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) -[ RUN ] ReshapeLayerTest/1.TestGradient -[ OK ] ReshapeLayerTest/1.TestGradient (6 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) -[ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes -[ 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 -[ 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 -[ 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 -[ 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) +[----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float +[ RUN ] ArgMaxLayerTest/0.TestSetupAxis +[ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing +[ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUTopK +[ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPU +[ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxis +[ OK ] ArgMaxLayerTest/0.TestCPUAxis (8 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK +[ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (33 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal +[ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal +[ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (0 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal +[ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK +[ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (33 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetup +[ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK +[ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) +[----------] 12 tests from ArgMaxLayerTest/0 (81 ms total) -[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SplitLayerTest/0.TestSetup +[ OK ] SplitLayerTest/0.TestSetup (0 ms) +[ RUN ] SplitLayerTest/0.TestGradient +[ OK ] SplitLayerTest/0.TestGradient (5 ms) +[ RUN ] SplitLayerTest/0.Test +[ OK ] SplitLayerTest/0.Test (0 ms) +[----------] 3 tests from SplitLayerTest/0 (5 ms total) -[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BenchmarkTest/1.TestTimerStart -[ OK ] BenchmarkTest/1.TestTimerStart (0 ms) -[ RUN ] BenchmarkTest/1.TestTimerStop -[ OK ] BenchmarkTest/1.TestTimerStop (0 ms) -[ RUN ] BenchmarkTest/1.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) +[----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB +[ RUN ] DBTest/1.TestNext +[ OK ] DBTest/1.TestNext (48 ms) +[ RUN ] DBTest/1.TestKeyValue +[ OK ] DBTest/1.TestKeyValue (16 ms) +[ RUN ] DBTest/1.TestSeekToFirst +[ OK ] DBTest/1.TestSeekToFirst (17 ms) +[ RUN ] DBTest/1.TestGetDB +[ OK ] DBTest/1.TestGetDB (17 ms) +[ RUN ] DBTest/1.TestWrite +[ OK ] DBTest/1.TestWrite (21 ms) +[----------] 5 tests from DBTest/1 (119 ms total) -[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from BlobSimpleTest/0, where TypeParam = float +[ RUN ] BlobSimpleTest/0.TestInitialization +[ OK ] BlobSimpleTest/0.TestInitialization (0 ms) +[ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals +[ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (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) -[----------] 1 test from SolverTypeUpgradeTest -[ RUN ] SolverTypeUpgradeTest.TestSimple -[ OK ] SolverTypeUpgradeTest.TestSimple (0 ms) -[----------] 1 test from SolverTypeUpgradeTest (0 ms total) +[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) +[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (74 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (71 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (14 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (14 ms) +[ RUN ] AdamSolverTest/1.TestSnapshotShare +[ OK ] AdamSolverTest/1.TestSnapshotShare (18 ms) +[ RUN ] AdamSolverTest/1.TestSnapshot +[ OK ] AdamSolverTest/1.TestSnapshot (13 ms) +[----------] 8 tests from AdamSolverTest/1 (213 ms total) -[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy -[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy -[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (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) +[----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SGDSolverTest/0.TestSnapshot +[ OK ] SGDSolverTest/0.TestSnapshot (11 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (13 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (27 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (68 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (26 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (1 ms) +[ RUN ] SGDSolverTest/0.TestSnapshotShare +[ OK ] SGDSolverTest/0.TestSnapshotShare (14 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (67 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (70 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (14 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (67 ms) +[----------] 12 tests from SGDSolverTest/0 (381 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) +[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] DataLayerTest/1.TestReadLMDB +[ OK ] DataLayerTest/1.TestReadLMDB (22 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainLMDB (8 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (47 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (48 ms) +[ RUN ] DataLayerTest/1.TestReadCropTestLMDB +[ OK ] DataLayerTest/1.TestReadCropTestLMDB (6 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (6 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (34 ms) +[ RUN ] DataLayerTest/1.TestReadCropTestLevelDB +[ OK ] DataLayerTest/1.TestReadCropTestLevelDB (30 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (6 ms) +[ RUN ] DataLayerTest/1.TestReadLevelDB +[ OK ] DataLayerTest/1.TestReadLevelDB (30 ms) +[ RUN ] DataLayerTest/1.TestReshapeLMDB +[ OK ] DataLayerTest/1.TestReshapeLMDB (8 ms) +[ RUN ] DataLayerTest/1.TestReshapeLevelDB +[ OK ] DataLayerTest/1.TestReshapeLevelDB (31 ms) +[ RUN ] DataLayerTest/1.TestSkipLevelDB +[ OK ] DataLayerTest/1.TestSkipLevelDB (119 ms) +[ RUN ] DataLayerTest/1.TestSkipLMDB +[ OK ] DataLayerTest/1.TestSkipLMDB (8 ms) +[----------] 14 tests from DataLayerTest/1 (403 ms total) -[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MemoryDataLayerTest/1.TestSetBatchSize +[ OK ] MemoryDataLayerTest/1.TestSetBatchSize (2 ms) +[ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform +[ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (0 ms) +[ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform +[ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (0 ms) +[ RUN ] MemoryDataLayerTest/1.TestSetup +[ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) +[ RUN ] MemoryDataLayerTest/1.TestForward +[ OK ] MemoryDataLayerTest/1.TestForward (29 ms) +[----------] 5 tests from MemoryDataLayerTest/1 (33 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero -[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (5 ms) [ RUN ] PowerLayerTest/0.TestPowerZeroGradient -[ OK ] PowerLayerTest/0.TestPowerZeroGradient (2 ms) +[ OK ] PowerLayerTest/0.TestPowerZeroGradient (1 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.TestPowerGradient +[ OK ] PowerLayerTest/0.TestPowerGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) +[ RUN ] PowerLayerTest/0.TestPowerTwoGradient +[ OK ] PowerLayerTest/0.TestPowerTwoGradient (2 ms) +[ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient +[ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (3 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) +[ OK ] PowerLayerTest/0.TestPowerOneGradient (1 ms) +[ RUN ] PowerLayerTest/0.TestPowerZero +[ OK ] PowerLayerTest/0.TestPowerZero (0 ms) +[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero +[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (2 ms) +[----------] 10 tests from PowerLayerTest/0 (12 ms total) -[----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] InnerProductLayerTest/0.TestSetUp -[ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) -[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue -[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) -[ RUN ] InnerProductLayerTest/0.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) +[----------] 6 tests from XavierFillerTest/1, where TypeParam = double +[ RUN ] XavierFillerTest/1.TestFillFanOut +[ OK ] XavierFillerTest/1.TestFillFanOut (82 ms) +[ RUN ] XavierFillerTest/1.TestFill2D +[ OK ] XavierFillerTest/1.TestFill2D (0 ms) +[ RUN ] XavierFillerTest/1.TestFill5D +[ OK ] XavierFillerTest/1.TestFill5D (0 ms) +[ RUN ] XavierFillerTest/1.TestFillAverage +[ OK ] XavierFillerTest/1.TestFillAverage (82 ms) +[ RUN ] XavierFillerTest/1.TestFill1D +[ OK ] XavierFillerTest/1.TestFill1D (0 ms) +[ RUN ] XavierFillerTest/1.TestFillFanIn +[ OK ] XavierFillerTest/1.TestFillFanIn (83 ms) +[----------] 6 tests from XavierFillerTest/1 (247 ms total) -[----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from GaussianFillerTest/0, where TypeParam = float +[ RUN ] GaussianFillerTest/0.TestFill2D +[ OK ] GaussianFillerTest/0.TestFill2D (0 ms) +[ RUN ] GaussianFillerTest/0.TestFill5D +[ OK ] GaussianFillerTest/0.TestFill5D (0 ms) +[ RUN ] GaussianFillerTest/0.TestFill +[ OK ] GaussianFillerTest/0.TestFill (1 ms) +[ RUN ] GaussianFillerTest/0.TestFill1D +[ OK ] GaussianFillerTest/0.TestFill1D (0 ms) +[----------] 4 tests from GaussianFillerTest/0 (1 ms total) -[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 6 tests from XavierFillerTest/0, where TypeParam = float +[ RUN ] XavierFillerTest/0.TestFillFanIn +[ OK ] XavierFillerTest/0.TestFillFanIn (79 ms) +[ RUN ] XavierFillerTest/0.TestFill5D +[ OK ] XavierFillerTest/0.TestFill5D (0 ms) +[ RUN ] XavierFillerTest/0.TestFillAverage +[ OK ] XavierFillerTest/0.TestFillAverage (80 ms) +[ RUN ] XavierFillerTest/0.TestFill2D +[ OK ] XavierFillerTest/0.TestFill2D (0 ms) +[ RUN ] XavierFillerTest/0.TestFillFanOut +[ OK ] XavierFillerTest/0.TestFillFanOut (80 ms) +[ RUN ] XavierFillerTest/0.TestFill1D +[ OK ] XavierFillerTest/0.TestFill1D (0 ms) +[----------] 6 tests from XavierFillerTest/0 (239 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) +[----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double +[ RUN ] PositiveUnitballFillerTest/1.TestFill1D +[ OK ] PositiveUnitballFillerTest/1.TestFill1D (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.TestFill2D +[ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) +[----------] 4 tests from PositiveUnitballFillerTest/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 DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] DeconvolutionLayerTest/1.TestGradient3D +[ OK ] DeconvolutionLayerTest/1.TestGradient3D (169 ms) +[ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D +[ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (802 ms) +[ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution +[ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) +[ RUN ] DeconvolutionLayerTest/1.TestSetup +[ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) +[ RUN ] DeconvolutionLayerTest/1.TestGradient +[ OK ] DeconvolutionLayerTest/1.TestGradient (506 ms) +[----------] 5 tests from DeconvolutionLayerTest/1 (1478 ms total) -[----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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 NesterovSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (15 ms) +[ RUN ] NesterovSolverTest/1.TestSnapshot +[ OK ] NesterovSolverTest/1.TestSnapshot (13 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (74 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (73 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (14 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (71 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] NesterovSolverTest/1.TestSnapshotShare +[ OK ] NesterovSolverTest/1.TestSnapshotShare (16 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (28 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (70 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (15 ms) +[----------] 12 tests from NesterovSolverTest/1 (394 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.TestCropMirrorTest +[ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) +[ RUN ] DataTransformTest/0.TestCropTest +[ OK ] DataTransformTest/0.TestCropTest (0 ms) [ RUN ] DataTransformTest/0.TestCropMirrorTrain [ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/0.TestCropTrain [ OK ] DataTransformTest/0.TestCropTrain (0 ms) +[ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels +[ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) +[ RUN ] DataTransformTest/0.TestEmptyTransform +[ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) +[ RUN ] DataTransformTest/0.TestMeanFile +[ OK ] DataTransformTest/0.TestMeanFile (0 ms) +[ RUN ] DataTransformTest/0.TestCropSize +[ OK ] DataTransformTest/0.TestCropSize (0 ms) [ RUN ] DataTransformTest/0.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 -[ 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) +[ RUN ] DataTransformTest/0.TestMirrorTrain +[ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) +[----------] 12 tests from DataTransformTest/0 (1 ms total) -[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NetTest/1.TestGetBlob +[ OK ] NetTest/1.TestGetBlob (1 ms) +[ RUN ] NetTest/1.TestAllInOneNetVal +[ OK ] NetTest/1.TestAllInOneNetVal (0 ms) +[ RUN ] NetTest/1.TestSharedWeightsDataNet +[ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) +[ RUN ] NetTest/1.TestUnsharedWeightsDataNet +[ OK ] NetTest/1.TestUnsharedWeightsDataNet (0 ms) +[ RUN ] NetTest/1.TestGetLayerByName +[ OK ] NetTest/1.TestGetLayerByName (1 ms) +[ RUN ] NetTest/1.TestBackwardWithAccuracyLayer +[ OK ] NetTest/1.TestBackwardWithAccuracyLayer (2 ms) +[ RUN ] NetTest/1.TestAllInOneNetTrain +[ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) +[ RUN ] NetTest/1.TestSharedWeightsDiffNet +[ OK ] NetTest/1.TestSharedWeightsDiffNet (0 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardTricky +[ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce +[ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) +[ RUN ] NetTest/1.TestLossWeightMidNet +[ OK ] NetTest/1.TestLossWeightMidNet (4 ms) +[ RUN ] NetTest/1.TestBottomNeedBackward +[ OK ] NetTest/1.TestBottomNeedBackward (1 ms) +[ RUN ] NetTest/1.TestComboLossWeight +[ OK ] NetTest/1.TestComboLossWeight (2 ms) +[ RUN ] NetTest/1.TestHasLayer +[ OK ] NetTest/1.TestHasLayer (1 ms) +[ RUN ] NetTest/1.TestFromTo +[ OK ] NetTest/1.TestFromTo (3 ms) +[ RUN ] NetTest/1.TestParamPropagateDown +[ OK ] NetTest/1.TestParamPropagateDown (1 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardForce +[ OK ] NetTest/1.TestBottomNeedBackwardForce (1 ms) +[ RUN ] NetTest/1.TestReshape +[ OK ] NetTest/1.TestReshape (1 ms) +[ RUN ] NetTest/1.TestSharedWeightsResume +[ OK ] NetTest/1.TestSharedWeightsResume (1 ms) +[ RUN ] NetTest/1.TestSharedWeightsUpdate +[ OK ] NetTest/1.TestSharedWeightsUpdate (1 ms) +[ RUN ] NetTest/1.TestSkipPropagateDown +[ OK ] NetTest/1.TestSkipPropagateDown (1 ms) +[ RUN ] NetTest/1.TestForcePropagateDown +[ OK ] NetTest/1.TestForcePropagateDown (1 ms) +[ RUN ] NetTest/1.TestAllInOneNetDeploy +[ OK ] NetTest/1.TestAllInOneNetDeploy (0 ms) +[ RUN ] NetTest/1.TestLossWeight +[ OK ] NetTest/1.TestLossWeight (4 ms) +[ RUN ] NetTest/1.TestUnsharedWeightsDiffNet +[ OK ] NetTest/1.TestUnsharedWeightsDiffNet (0 ms) +[ RUN ] NetTest/1.TestHasBlob +[ OK ] NetTest/1.TestHasBlob (1 ms) +[----------] 26 tests from NetTest/1 (30 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) +[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution +[ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution +[ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (2 ms) +[ RUN ] ConvolutionLayerTest/0.TestSobelConvolution +[ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution +[ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (8 ms) +[ RUN ] ConvolutionLayerTest/0.TestSetup +[ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup +[ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (1 ms) +[ RUN ] ConvolutionLayerTest/0.Test0DConvolution +[ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D +[ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (322 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradient3D +[ OK ] ConvolutionLayerTest/0.TestGradient3D (532 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilatedGradient +[ OK ] ConvolutionLayerTest/0.TestDilatedGradient (15 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradientGroup +[ OK ] ConvolutionLayerTest/0.TestGradientGroup (17 ms) +[ RUN ] ConvolutionLayerTest/0.Test1x1Gradient +[ OK ] ConvolutionLayerTest/0.Test1x1Gradient (433 ms) +[ RUN ] ConvolutionLayerTest/0.Test1x1Convolution +[ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution +[ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (2 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradient +[ OK ] ConvolutionLayerTest/0.TestGradient (61 ms) +[----------] 15 tests from ConvolutionLayerTest/0 (1393 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) +[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MVNLayerTest/1.TestForwardMeanOnly +[ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) +[ RUN ] MVNLayerTest/1.TestForward +[ OK ] MVNLayerTest/1.TestForward (0 ms) +[ RUN ] MVNLayerTest/1.TestGradient +[ OK ] MVNLayerTest/1.TestGradient (223 ms) +[ RUN ] MVNLayerTest/1.TestGradientAcrossChannels +[ OK ] MVNLayerTest/1.TestGradientAcrossChannels (224 ms) +[ RUN ] MVNLayerTest/1.TestGradientMeanOnly +[ OK ] MVNLayerTest/1.TestGradientMeanOnly (90 ms) +[ RUN ] MVNLayerTest/1.TestForwardAcrossChannels +[ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) +[----------] 6 tests from MVNLayerTest/1 (537 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 MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MaxPoolingDropoutTest/1.TestBackward +[ OK ] MaxPoolingDropoutTest/1.TestBackward (1 ms) +[ RUN ] MaxPoolingDropoutTest/1.TestSetup +[ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) +[ RUN ] MaxPoolingDropoutTest/1.TestForward +[ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) +[----------] 3 tests from MaxPoolingDropoutTest/1 (1 ms total) -[----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BatchNormLayerTest/1.TestForward +[ OK ] BatchNormLayerTest/1.TestForward (0 ms) +[ RUN ] BatchNormLayerTest/1.TestGradient +[ OK ] BatchNormLayerTest/1.TestGradient (131 ms) +[ RUN ] BatchNormLayerTest/1.TestForwardInplace +[ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) +[----------] 3 tests from BatchNormLayerTest/1 (131 ms total) -[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 12 tests from DataTransformTest/1, where TypeParam = double +[ RUN ] DataTransformTest/1.TestCropSize +[ OK ] DataTransformTest/1.TestCropSize (0 ms) +[ RUN ] DataTransformTest/1.TestMeanFile +[ OK ] DataTransformTest/1.TestMeanFile (0 ms) +[ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels +[ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) +[ RUN ] DataTransformTest/1.TestCropMirrorTrain +[ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) +[ RUN ] DataTransformTest/1.TestMeanValues +[ OK ] DataTransformTest/1.TestMeanValues (0 ms) +[ RUN ] DataTransformTest/1.TestMirrorTest +[ OK ] DataTransformTest/1.TestMirrorTest (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.TestCropTrain +[ OK ] DataTransformTest/1.TestCropTrain (0 ms) +[ RUN ] DataTransformTest/1.TestEmptyTransform +[ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) +[ RUN ] DataTransformTest/1.TestMirrorTrain +[ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) +[ RUN ] DataTransformTest/1.TestCropMirrorTest +[ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) +[----------] 12 tests from DataTransformTest/1 (1 ms total) -[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BlobMathTest/0.TestSumOfSquares +[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) +[ RUN ] BlobMathTest/0.TestAsum +[ OK ] BlobMathTest/0.TestAsum (0 ms) +[ RUN ] BlobMathTest/0.TestScaleData +[ OK ] BlobMathTest/0.TestScaleData (0 ms) +[----------] 3 tests from BlobMathTest/0 (0 ms total) -[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from NetUpgradeTest +[ RUN ] NetUpgradeTest.TestSimple +[ OK ] NetUpgradeTest.TestSimple (1 ms) +[ RUN ] NetUpgradeTest.TestImageNet +[ OK ] NetUpgradeTest.TestImageNet (1 ms) +[ RUN ] NetUpgradeTest.TestUpgradeV1LayerType +[ OK ] NetUpgradeTest.TestUpgradeV1LayerType (40 ms) +[ RUN ] NetUpgradeTest.TestAllParams +[ OK ] NetUpgradeTest.TestAllParams (1 ms) +[----------] 4 tests from NetUpgradeTest (43 ms total) -[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] RNNLayerTest/1.TestGradient +[ OK ] RNNLayerTest/1.TestGradient (92 ms) +[ RUN ] RNNLayerTest/1.TestForward +[ OK ] RNNLayerTest/1.TestForward (4 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 +[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (175 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroCont +[ OK ] RNNLayerTest/1.TestGradientNonZeroCont (88 ms) +[ RUN ] RNNLayerTest/1.TestSetUp +[ OK ] RNNLayerTest/1.TestSetUp (1 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (735 ms) +[----------] 6 tests from RNNLayerTest/1 (1095 ms total) -[----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from GaussianFillerTest/1, where TypeParam = double +[ 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 (0 ms) +[ RUN ] GaussianFillerTest/1.TestFill +[ OK ] GaussianFillerTest/1.TestFill (1 ms) +[----------] 4 tests from GaussianFillerTest/1 (2 ms total) -[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LayerFactoryTest/0.TestCreateLayer -[ OK ] LayerFactoryTest/0.TestCreateLayer (121 ms) -[----------] 1 test from LayerFactoryTest/0 (121 ms total) +[----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 +[ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform +[ OK ] RandomNumberGeneratorTest/0.TestRngUniform (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform +[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) +[----------] 11 tests from RandomNumberGeneratorTest/0 (3 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 BilinearFillerTest/0, where TypeParam = float +[ RUN ] BilinearFillerTest/0.TestFillOdd +[ OK ] BilinearFillerTest/0.TestFillOdd (8 ms) +[ RUN ] BilinearFillerTest/0.TestFillEven +[ OK ] BilinearFillerTest/0.TestFillEven (6 ms) +[----------] 2 tests from BilinearFillerTest/0 (14 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) +[----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BatchReindexLayerTest/1.TestForward +[ OK ] BatchReindexLayerTest/1.TestForward (0 ms) +[ RUN ] BatchReindexLayerTest/1.TestGradient +[ OK ] BatchReindexLayerTest/1.TestGradient (98 ms) +[----------] 2 tests from BatchReindexLayerTest/1 (98 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) +[----------] 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) -[----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ThresholdLayerTest/1.Test2 +[ OK ] ThresholdLayerTest/1.Test2 (0 ms) +[ RUN ] ThresholdLayerTest/1.TestSetup +[ OK ] ThresholdLayerTest/1.TestSetup (0 ms) +[ RUN ] ThresholdLayerTest/1.Test +[ OK ] ThresholdLayerTest/1.Test (0 ms) +[----------] 3 tests from ThresholdLayerTest/1 (1 ms total) [----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[ OK ] AdaGradSolverTest/0.TestSnapshot (11 ms) +[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (70 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (13 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (67 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (40 ms) +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (14 ms) [ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (26 ms) +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (14 ms) +[ RUN ] AdaGradSolverTest/0.TestSnapshotShare +[ OK ] AdaGradSolverTest/0.TestSnapshotShare (15 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) +[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[----------] 9 tests from AdaGradSolverTest/0 (208 ms total) -[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] CropLayerTest/1.TestCropAllOffset +[ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) +[ RUN ] CropLayerTest/1.TestCropAll +[ OK ] CropLayerTest/1.TestCropAll (0 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeDefault +[ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) +[ RUN ] CropLayerTest/1.TestCrop5DGradient +[ OK ] CropLayerTest/1.TestCrop5DGradient (1269 ms) +[ RUN ] CropLayerTest/1.TestDimensionsCheck +[ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing +[ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) +[ RUN ] CropLayerTest/1.TestCropAllGradient +[ OK ] CropLayerTest/1.TestCropAllGradient (204 ms) +[ RUN ] CropLayerTest/1.TestCropHWGradient +[ OK ] CropLayerTest/1.TestCropHWGradient (324 ms) +[ RUN ] CropLayerTest/1.TestCropHW +[ OK ] CropLayerTest/1.TestCropHW (0 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeAll +[ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) +[ RUN ] CropLayerTest/1.TestCrop5D +[ OK ] CropLayerTest/1.TestCrop5D (0 ms) +[----------] 11 tests from CropLayerTest/1 (1798 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) +[----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified +[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis +[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (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.TestFlattenOutputSizes +[ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) +[ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape +[ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) +[ RUN ] ReshapeLayerTest/0.TestForward +[ OK ] ReshapeLayerTest/0.TestForward (0 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenMiddle +[ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) +[ RUN ] ReshapeLayerTest/0.TestGradient +[ OK ] ReshapeLayerTest/0.TestGradient (3 ms) +[ RUN ] ReshapeLayerTest/0.TestCopyDimensions +[ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) +[----------] 12 tests from ReshapeLayerTest/0 (3 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) +[----------] 4 tests from ConstantFillerTest/1, where TypeParam = double +[ RUN ] ConstantFillerTest/1.TestFill1D +[ OK ] ConstantFillerTest/1.TestFill1D (0 ms) +[ RUN ] ConstantFillerTest/1.TestFill +[ OK ] ConstantFillerTest/1.TestFill (0 ms) +[ RUN ] ConstantFillerTest/1.TestFill5D +[ OK ] ConstantFillerTest/1.TestFill5D (0 ms) +[ RUN ] ConstantFillerTest/1.TestFill2D +[ OK ] ConstantFillerTest/1.TestFill2D (0 ms) +[----------] 4 tests from ConstantFillerTest/1 (0 ms total) -[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LayerFactoryTest/1.TestCreateLayer -[ OK ] LayerFactoryTest/1.TestCreateLayer (138 ms) -[----------] 1 test from LayerFactoryTest/1 (138 ms total) +[----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SolverFactoryTest/1.TestCreateSolver +[ OK ] SolverFactoryTest/1.TestCreateSolver (1 ms) +[----------] 1 test from SolverFactoryTest/1 (1 ms total) + +[----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BenchmarkTest/0.TestTimerSeconds +[ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) +[ RUN ] BenchmarkTest/0.TestTimerMilliSeconds +[ OK ] BenchmarkTest/0.TestTimerMilliSeconds (300 ms) +[ RUN ] BenchmarkTest/0.TestTimerStop +[ OK ] BenchmarkTest/0.TestTimerStop (0 ms) +[ RUN ] BenchmarkTest/0.TestTimerStart +[ OK ] BenchmarkTest/0.TestTimerStart (0 ms) +[ RUN ] BenchmarkTest/0.TestTimerConstructor +[ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) +[----------] 5 tests from BenchmarkTest/0 (600 ms total) + +[----------] 26 tests from IOTest +[ RUN ] IOTest.TestReadImageToCVMat +[ OK ] IOTest.TestReadImageToCVMat (5 ms) +[ RUN ] IOTest.TestReadImageToDatumContent +[ OK ] IOTest.TestReadImageToDatumContent (10 ms) +[ RUN ] IOTest.TestReadImageToDatumResizedSquare +[ OK ] IOTest.TestReadImageToDatumResizedSquare (4 ms) +[ RUN ] IOTest.TestCVMatToDatum +[ OK ] IOTest.TestCVMatToDatum (5 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatNative +[ OK ] IOTest.TestDecodeDatumToCVMatNative (3 ms) +[ RUN ] IOTest.TestDecodeDatum +[ OK ] IOTest.TestDecodeDatum (11 ms) +[ RUN ] IOTest.TestDecodeDatumNative +[ OK ] IOTest.TestDecodeDatumNative (12 ms) +[ RUN ] IOTest.TestReadImageToCVMatResizedSquare +[ OK ] IOTest.TestReadImageToCVMatResizedSquare (4 ms) +[ RUN ] IOTest.TestReadImageToDatumReference +[ OK ] IOTest.TestReadImageToDatumReference (10 ms) +[ RUN ] IOTest.TestReadImageToCVMatResizedGray +[ OK ] IOTest.TestReadImageToCVMatResizedGray (3 ms) +[ RUN ] IOTest.TestReadFileToDatum +[ OK ] IOTest.TestReadFileToDatum (0 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray +[ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (2 ms) +[ RUN ] IOTest.TestReadImageToDatumGray +[ OK ] IOTest.TestReadImageToDatumGray (3 ms) +[ RUN ] IOTest.TestReadImageToCVMatResized +[ OK ] IOTest.TestReadImageToCVMatResized (4 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatContent +[ OK ] IOTest.TestDecodeDatumToCVMatContent (10 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMat +[ OK ] IOTest.TestDecodeDatumToCVMat (6 ms) +[ RUN ] IOTest.TestReadImageToDatumResized +[ OK ] IOTest.TestReadImageToDatumResized (4 ms) +[ RUN ] IOTest.TestReadImageToDatumContentGray +[ OK ] IOTest.TestReadImageToDatumContentGray (6 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatContentNative +[ OK ] IOTest.TestDecodeDatumToCVMatContentNative (10 ms) +[ RUN ] IOTest.TestDecodeDatumNativeGray +[ OK ] IOTest.TestDecodeDatumNativeGray (5 ms) +[ RUN ] IOTest.TestReadImageToCVMatGray +[ OK ] IOTest.TestReadImageToCVMatGray (2 ms) +[ RUN ] IOTest.TestCVMatToDatumReference +[ OK ] IOTest.TestCVMatToDatumReference (12 ms) +[ RUN ] IOTest.TestReadImageToDatumResizedGray +[ OK ] IOTest.TestReadImageToDatumResizedGray (3 ms) +[ RUN ] IOTest.TestReadImageToDatumReferenceResized +[ OK ] IOTest.TestReadImageToDatumReferenceResized (7 ms) +[ RUN ] IOTest.TestCVMatToDatumContent +[ OK ] IOTest.TestCVMatToDatumContent (10 ms) +[ RUN ] IOTest.TestReadImageToDatum +[ OK ] IOTest.TestReadImageToDatum (4 ms) +[----------] 26 tests from IOTest (155 ms total) + +[----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SplitLayerTest/1.TestGradient +[ OK ] SplitLayerTest/1.TestGradient (5 ms) +[ RUN ] SplitLayerTest/1.Test +[ OK ] SplitLayerTest/1.Test (0 ms) +[ RUN ] SplitLayerTest/1.TestSetup +[ OK ] SplitLayerTest/1.TestSetup (0 ms) +[----------] 3 tests from SplitLayerTest/1 (5 ms total) [----------] 6 tests from MSRAFillerTest/0, where TypeParam = float +[ RUN ] MSRAFillerTest/0.TestFillAverage +[ OK ] MSRAFillerTest/0.TestFillAverage (49 ms) [ RUN ] MSRAFillerTest/0.TestFillFanOut -[ OK ] MSRAFillerTest/0.TestFillFanOut (98 ms) +[ OK ] MSRAFillerTest/0.TestFillFanOut (49 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) +[ OK ] MSRAFillerTest/0.TestFillFanIn (49 ms) +[ RUN ] MSRAFillerTest/0.TestFill5D +[ OK ] MSRAFillerTest/0.TestFill5D (0 ms) +[----------] 6 tests from MSRAFillerTest/0 (147 ms total) -[----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] MaxPoolingDropoutTest/0.TestSetup -[ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) -[ RUN ] MaxPoolingDropoutTest/0.TestForward -[ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) -[ RUN ] MaxPoolingDropoutTest/0.TestBackward -[ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) -[----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) +[----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxLayerTest/1.TestForward +[ OK ] SoftmaxLayerTest/1.TestForward (0 ms) +[ RUN ] SoftmaxLayerTest/1.TestGradient +[ OK ] SoftmaxLayerTest/1.TestGradient (311 ms) +[----------] 2 tests from SoftmaxLayerTest/1 (311 ms total) -[----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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 ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ImageDataLayerTest/1.TestResize +[ OK ] ImageDataLayerTest/1.TestResize (99 ms) +[ RUN ] ImageDataLayerTest/1.TestRead +[ OK ] ImageDataLayerTest/1.TestRead (100 ms) +[ RUN ] ImageDataLayerTest/1.TestSpace +[ OK ] ImageDataLayerTest/1.TestSpace (30 ms) +[ RUN ] ImageDataLayerTest/1.TestReshape +[ OK ] ImageDataLayerTest/1.TestReshape (27 ms) +[ RUN ] ImageDataLayerTest/1.TestShuffle +[ OK ] ImageDataLayerTest/1.TestShuffle (99 ms) +[----------] 5 tests from ImageDataLayerTest/1 (355 ms total) -[----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] FlattenLayerTest/1.TestForward +[ OK ] FlattenLayerTest/1.TestForward (1 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis +[ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis +[ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestGradient +[ OK ] FlattenLayerTest/1.TestGradient (2 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithAxis +[ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestSetup +[ OK ] FlattenLayerTest/1.TestSetup (0 ms) +[----------] 6 tests from FlattenLayerTest/1 (3 ms total) + +[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (67 ms) +[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (71 ms) +[ RUN ] RMSPropSolverTest/1.TestSnapshotShare +[ OK ] RMSPropSolverTest/1.TestSnapshotShare (17 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (75 ms) +[ RUN ] RMSPropSolverTest/1.TestSnapshot +[ OK ] RMSPropSolverTest/1.TestSnapshot (13 ms) +[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (14 ms) +[----------] 8 tests from RMSPropSolverTest/1 (263 ms total) + +[----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling +[ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMaxPadded +[ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask +[ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) +[ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask +[ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (449 ms) +[ RUN ] PoolingLayerTest/0.TestGradientAvePadded +[ OK ] PoolingLayerTest/0.TestGradientAvePadded (680 ms) +[ RUN ] PoolingLayerTest/0.TestSetupPadded +[ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) +[ RUN ] PoolingLayerTest/0.TestGradientMax +[ OK ] PoolingLayerTest/0.TestGradientMax (534 ms) +[ RUN ] PoolingLayerTest/0.TestGradientAve +[ OK ] PoolingLayerTest/0.TestGradientAve (175 ms) +[ RUN ] PoolingLayerTest/0.TestForwardAve +[ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMax +[ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetup +[ OK ] PoolingLayerTest/0.TestSetup (0 ms) +[----------] 11 tests from PoolingLayerTest/0 (1838 ms total) + +[----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HingeLossLayerTest/1.TestGradientL2 +[ OK ] HingeLossLayerTest/1.TestGradientL2 (0 ms) +[ RUN ] HingeLossLayerTest/1.TestGradientL1 +[ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) +[----------] 2 tests from HingeLossLayerTest/1 (0 ms total) + +[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd +[ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (1 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle +[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (91 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwise +[ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam +[ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (328 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam +[ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardScale +[ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 +[ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (62 ms) +[ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin +[ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (92 ms) +[ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 +[ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin +[ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (72 ms) +[ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace +[ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias +[ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (79 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd +[ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (201 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScale +[ OK ] ScaleLayerTest/1.TestGradientScale (66 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientEltwise +[ OK ] ScaleLayerTest/1.TestGradientEltwise (5 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace +[ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) +[----------] 22 tests from ScaleLayerTest/1 (998 ms total) + +[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (74 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (70 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (28 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (28 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (70 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (15 ms) +[ RUN ] SGDSolverTest/1.TestSnapshot +[ OK ] SGDSolverTest/1.TestSnapshot (12 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (14 ms) +[ RUN ] SGDSolverTest/1.TestSnapshotShare +[ OK ] SGDSolverTest/1.TestSnapshotShare (15 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (69 ms) +[----------] 12 tests from SGDSolverTest/1 (402 ms total) [----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[ OK ] BiasLayerTest/1.TestForwardEltwise (1 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) +[ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardBias +[ OK ] BiasLayerTest/1.TestForwardBias (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientEltwise +[ OK ] BiasLayerTest/1.TestGradientEltwise (3 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam +[ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (169 ms) +[ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace +[ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin +[ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (73 ms) [ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle [ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam +[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (81 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.TestGradientBroadcastMiddle +[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (80 ms) [ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam [ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientEltwise -[ OK ] BiasLayerTest/1.TestGradientEltwise (7 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd +[ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (112 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd +[ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBias +[ OK ] BiasLayerTest/1.TestGradientBias (68 ms) +[ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 +[ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (67 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) +[ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (1 ms) +[ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 +[ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) +[----------] 20 tests from BiasLayerTest/1 (655 ms total) -[----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] InfogainLossLayerTest/1.TestInfogainLoss -[ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) -[ RUN ] InfogainLossLayerTest/1.TestGradient -[ OK ] InfogainLossLayerTest/1.TestGradient (5 ms) -[----------] 2 tests from InfogainLossLayerTest/1 (5 ms total) +[----------] 8 tests from SplitLayerInsertionTest +[ RUN ] SplitLayerInsertionTest.TestWithInPlace +[ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) +[ RUN ] SplitLayerInsertionTest.TestInsertion +[ OK ] SplitLayerInsertionTest.TestInsertion (0 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertion2 +[ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet +[ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (1 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace +[ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertion1 +[ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) +[ RUN ] SplitLayerInsertionTest.TestLossInsertion +[ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) +[ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop +[ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) +[----------] 8 tests from SplitLayerInsertionTest (3 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) +[----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LSTMLayerTest/0.TestGradient +[ OK ] LSTMLayerTest/0.TestGradient (222 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient +[ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (48 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (2450 ms) +[ RUN ] LSTMLayerTest/0.TestSetUp +[ OK ] LSTMLayerTest/0.TestSetUp (1 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont +[ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (219 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 +[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (405 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp +[ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont +[ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (50 ms) +[ RUN ] LSTMLayerTest/0.TestForward +[ OK ] LSTMLayerTest/0.TestForward (4 ms) +[----------] 9 tests from LSTMLayerTest/0 (3399 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) +[----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] FilterLayerTest/1.TestForward +[ OK ] FilterLayerTest/1.TestForward (0 ms) +[ RUN ] FilterLayerTest/1.TestReshape +[ OK ] FilterLayerTest/1.TestReshape (0 ms) +[ RUN ] FilterLayerTest/1.TestGradient +[ OK ] FilterLayerTest/1.TestGradient (221 ms) +[----------] 3 tests from FilterLayerTest/1 (221 ms total) + +[----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform +[ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (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.TestRngUniformTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 +[ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform +[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) +[----------] 11 tests from RandomNumberGeneratorTest/1 (4 ms total) + +[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LSTMLayerTest/1.TestForward +[ OK ] LSTMLayerTest/1.TestForward (4 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp +[ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient +[ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (62 ms) +[ RUN ] LSTMLayerTest/1.TestGradient +[ OK ] LSTMLayerTest/1.TestGradient (256 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont +[ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (254 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (2662 ms) +[ RUN ] LSTMLayerTest/1.TestSetUp +[ OK ] LSTMLayerTest/1.TestSetUp (1 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont +[ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (59 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 +[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (430 ms) +[----------] 9 tests from LSTMLayerTest/1 (3728 ms total) [----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EmbedLayerTest/1.TestGradientWithBias +[ OK ] EmbedLayerTest/1.TestGradientWithBias (11 ms) [ RUN ] EmbedLayerTest/1.TestSetUp [ OK ] EmbedLayerTest/1.TestSetUp (0 ms) +[ RUN ] EmbedLayerTest/1.TestForward +[ OK ] EmbedLayerTest/1.TestForward (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 -[ 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 -[ 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) +[ OK ] EmbedLayerTest/1.TestGradient (9 ms) +[----------] 5 tests from EmbedLayerTest/1 (20 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 -[ 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 -[ 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) +[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5OutputLayerTest/1.TestForward +[ OK ] HDF5OutputLayerTest/1.TestForward (2 ms) +[----------] 1 test from HDF5OutputLayerTest/1 (2 ms total) -[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SolverTest/1.TestInitTrainTestNets +[ OK ] SolverTest/1.TestInitTrainTestNets (1 ms) +[----------] 1 test from SolverTest/1 (1 ms total) -[----------] 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) +[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LayerFactoryTest/1.TestCreateLayer +[ OK ] LayerFactoryTest/1.TestCreateLayer (70 ms) +[----------] 1 test from LayerFactoryTest/1 (70 ms total) [----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EuclideanLossLayerTest/1.TestGradient +[ OK ] EuclideanLossLayerTest/1.TestGradient (0 ms) [ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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 -[ 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) +[----------] 2 tests from EuclideanLossLayerTest/1 (0 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (29 ms) -[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (164 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (12 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (67 ms) -[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (37 ms) +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (26 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshot -[ OK ] AdaDeltaSolverTest/1.TestSnapshot (250 ms) +[ OK ] AdaDeltaSolverTest/1.TestSnapshot (13 ms) +[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (64 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (12 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (200 ms) +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (67 ms) [ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare -[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (47 ms) +[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (17 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) +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (25 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) -[----------] 11 tests from AdaDeltaSolverTest/1 (1083 ms total) +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (65 ms) +[----------] 11 tests from AdaDeltaSolverTest/1 (306 ms total) + +[----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (12 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (12 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (61 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (24 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (60 ms) +[ RUN ] NesterovSolverTest/0.TestSnapshot +[ OK ] NesterovSolverTest/0.TestSnapshot (10 ms) +[ RUN ] NesterovSolverTest/0.TestSnapshotShare +[ OK ] NesterovSolverTest/0.TestSnapshotShare (13 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (12 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (62 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (60 ms) +[----------] 12 tests from NesterovSolverTest/0 (330 ms total) [----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] FilterLayerTest/0.TestGradient -[ OK ] FilterLayerTest/0.TestGradient (372 ms) [ RUN ] FilterLayerTest/0.TestForward [ OK ] FilterLayerTest/0.TestForward (0 ms) +[ RUN ] FilterLayerTest/0.TestGradient +[ OK ] FilterLayerTest/0.TestGradient (198 ms) [ RUN ] FilterLayerTest/0.TestReshape [ OK ] FilterLayerTest/0.TestReshape (0 ms) -[----------] 3 tests from FilterLayerTest/0 (372 ms total) +[----------] 3 tests from FilterLayerTest/0 (198 ms total) -[----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AccuracyLayerTest/0.TestSetup +[ OK ] AccuracyLayerTest/0.TestSetup (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForward +[ OK ] AccuracyLayerTest/0.TestForward (1 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel +[ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardPerClass +[ OK ] AccuracyLayerTest/0.TestForwardPerClass (1 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes +[ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel +[ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardTopK +[ OK ] AccuracyLayerTest/0.TestForwardTopK (3 ms) +[ RUN ] AccuracyLayerTest/0.TestSetupTopK +[ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) +[ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass +[ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) +[----------] 9 tests from AccuracyLayerTest/0 (6 ms total) -[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float +[ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU +[ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (0 ms) +[----------] 1 test from MultinomialLogisticLossLayerTest/0 (0 ms total) -[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] TanHLayerTest/1.TestTanH -[ OK ] TanHLayerTest/1.TestTanH (0 ms) -[ RUN ] TanHLayerTest/1.TestTanHOverflow -[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) -[ RUN ] TanHLayerTest/1.TestTanHGradient -[ OK ] TanHLayerTest/1.TestTanHGradient (9 ms) -[----------] 3 tests from TanHLayerTest/1 (9 ms total) +[----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy +[ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy +[ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (202 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestGradient +[ OK ] ContrastiveLossLayerTest/1.TestGradient (213 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestForward +[ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) +[----------] 4 tests from ContrastiveLossLayerTest/1 (415 ms total) -[----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SolverTest/0.TestInitTrainTestNets -[ OK ] SolverTest/0.TestInitTrainTestNets (2 ms) -[----------] 1 test from SolverTest/0 (2 ms total) +[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution +[ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) +[ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D +[ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (708 ms) +[ RUN ] DeconvolutionLayerTest/0.TestGradient +[ OK ] DeconvolutionLayerTest/0.TestGradient (457 ms) +[ RUN ] DeconvolutionLayerTest/0.TestGradient3D +[ OK ] DeconvolutionLayerTest/0.TestGradient3D (153 ms) +[ RUN ] DeconvolutionLayerTest/0.TestSetup +[ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) +[----------] 5 tests from DeconvolutionLayerTest/0 (1319 ms total) + +[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized +[ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (7 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (7 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradient +[ OK ] SoftmaxWithLossLayerTest/0.TestGradient (8 ms) +[----------] 4 tests from SoftmaxWithLossLayerTest/0 (22 ms total) + +[----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SPPLayerTest/0.TestEqualOutputDims +[ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) +[ RUN ] SPPLayerTest/0.TestForwardBackward +[ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) +[ RUN ] SPPLayerTest/0.TestGradient +[ OK ] SPPLayerTest/0.TestGradient (1438 ms) +[ RUN ] SPPLayerTest/0.TestEqualOutputDims2 +[ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) +[ RUN ] SPPLayerTest/0.TestSetup +[ OK ] SPPLayerTest/0.TestSetup (0 ms) +[----------] 5 tests from SPPLayerTest/0 (1438 ms total) + +[----------] 2 tests from BilinearFillerTest/1, where TypeParam = double +[ RUN ] BilinearFillerTest/1.TestFillEven +[ OK ] BilinearFillerTest/1.TestFillEven (6 ms) +[ RUN ] BilinearFillerTest/1.TestFillOdd +[ OK ] BilinearFillerTest/1.TestFillOdd (8 ms) +[----------] 2 tests from BilinearFillerTest/1 (14 ms total) + +[----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB +[ RUN ] DBTest/0.TestWrite +[ OK ] DBTest/0.TestWrite (57 ms) +[ RUN ] DBTest/0.TestSeekToFirst +[ OK ] DBTest/0.TestSeekToFirst (49 ms) +[ RUN ] DBTest/0.TestKeyValue +[ OK ] DBTest/0.TestKeyValue (51 ms) +[ RUN ] DBTest/0.TestGetDB +[ OK ] DBTest/0.TestGetDB (24 ms) +[ RUN ] DBTest/0.TestNext +[ OK ] DBTest/0.TestNext (45 ms) +[----------] 5 tests from DBTest/0 (226 ms total) + +[----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] InfogainLossLayerTest/1.TestGradient +[ OK ] InfogainLossLayerTest/1.TestGradient (3 ms) +[ RUN ] InfogainLossLayerTest/1.TestInfogainLoss +[ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) +[----------] 2 tests from InfogainLossLayerTest/1 (3 ms total) [----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice -[ 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.TestHasBlob +[ OK ] NetTest/0.TestHasBlob (0 ms) [ RUN ] NetTest/0.TestGetBlob -[ OK ] NetTest/0.TestGetBlob (22 ms) -[ RUN ] NetTest/0.TestAllInOneNetDeploy -[ OK ] NetTest/0.TestAllInOneNetDeploy (3 ms) +[ OK ] NetTest/0.TestGetBlob (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackward +[ OK ] NetTest/0.TestBottomNeedBackward (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce +[ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (0 ms) +[ RUN ] NetTest/0.TestHasLayer +[ OK ] NetTest/0.TestHasLayer (1 ms) +[ RUN ] NetTest/0.TestForcePropagateDown +[ OK ] NetTest/0.TestForcePropagateDown (1 ms) +[ RUN ] NetTest/0.TestReshape +[ OK ] NetTest/0.TestReshape (0 ms) [ RUN ] NetTest/0.TestComboLossWeight -[ OK ] NetTest/0.TestComboLossWeight (74 ms) -[ RUN ] NetTest/0.TestSkipPropagateDown -[ OK ] NetTest/0.TestSkipPropagateDown (3 ms) +[ OK ] NetTest/0.TestComboLossWeight (3 ms) +[ RUN ] NetTest/0.TestSharedWeightsDataNet +[ OK ] NetTest/0.TestSharedWeightsDataNet (0 ms) +[ RUN ] NetTest/0.TestUnsharedWeightsDataNet +[ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) [ RUN ] NetTest/0.TestAllInOneNetVal -[ OK ] NetTest/0.TestAllInOneNetVal (2 ms) -[ RUN ] NetTest/0.TestHasBlob -[ OK ] NetTest/0.TestHasBlob (2 ms) +[ OK ] NetTest/0.TestAllInOneNetVal (0 ms) +[ RUN ] NetTest/0.TestSkipPropagateDown +[ OK ] NetTest/0.TestSkipPropagateDown (1 ms) +[ RUN ] NetTest/0.TestLossWeightMidNet +[ OK ] NetTest/0.TestLossWeightMidNet (3 ms) +[ RUN ] NetTest/0.TestParamPropagateDown +[ OK ] NetTest/0.TestParamPropagateDown (1 ms) [ RUN ] NetTest/0.TestBottomNeedBackwardForce -[ OK ] NetTest/0.TestBottomNeedBackwardForce (16 ms) -[ RUN ] NetTest/0.TestFromTo -[ OK ] NetTest/0.TestFromTo (7 ms) +[ OK ] NetTest/0.TestBottomNeedBackwardForce (1 ms) +[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer +[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (1 ms) +[ RUN ] NetTest/0.TestGetLayerByName +[ OK ] NetTest/0.TestGetLayerByName (1 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) +[ OK ] NetTest/0.TestSharedWeightsResume (1 ms) [ RUN ] NetTest/0.TestUnsharedWeightsDiffNet -[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (2 ms) -[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer -[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (17 ms) +[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (0 ms) +[ RUN ] NetTest/0.TestSharedWeightsDiffNet +[ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) +[ RUN ] NetTest/0.TestLossWeight +[ OK ] NetTest/0.TestLossWeight (3 ms) +[ RUN ] NetTest/0.TestAllInOneNetDeploy +[ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) +[ RUN ] NetTest/0.TestAllInOneNetTrain +[ OK ] NetTest/0.TestAllInOneNetTrain (0 ms) +[ RUN ] NetTest/0.TestFromTo +[ OK ] NetTest/0.TestFromTo (2 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) +[ OK ] NetTest/0.TestSharedWeightsUpdate (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardTricky +[ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) +[----------] 26 tests from NetTest/0 (27 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) +[----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] TanHLayerTest/0.TestTanHOverflow +[ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) +[ RUN ] TanHLayerTest/0.TestTanHGradient +[ OK ] TanHLayerTest/0.TestTanHGradient (4 ms) +[ RUN ] TanHLayerTest/0.TestTanH +[ OK ] TanHLayerTest/0.TestTanH (0 ms) +[----------] 3 tests from TanHLayerTest/0 (4 ms total) -[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ConcatLayerTest/0.TestSetupNum +[ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) +[ RUN ] ConcatLayerTest/0.TestForwardNum +[ OK ] ConcatLayerTest/0.TestForwardNum (1 ms) +[ RUN ] ConcatLayerTest/0.TestForwardTrivial +[ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) +[ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly +[ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (2 ms) +[ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing +[ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) +[ RUN ] ConcatLayerTest/0.TestGradientTrivial +[ OK ] ConcatLayerTest/0.TestGradientTrivial (2 ms) +[ RUN ] ConcatLayerTest/0.TestGradientNum +[ OK ] ConcatLayerTest/0.TestGradientNum (4 ms) +[ RUN ] ConcatLayerTest/0.TestGradientChannels +[ OK ] ConcatLayerTest/0.TestGradientChannels (2 ms) +[ RUN ] ConcatLayerTest/0.TestSetupChannels +[ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) +[ RUN ] ConcatLayerTest/0.TestForwardChannels +[ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms) +[----------] 10 tests from ConcatLayerTest/0 (12 ms total) -[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ConvolutionLayerTest/1.Test1x1Gradient +[ OK ] ConvolutionLayerTest/1.Test1x1Gradient (400 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup +[ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution +[ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradientGroup +[ OK ] ConvolutionLayerTest/1.TestGradientGroup (17 ms) +[ RUN ] ConvolutionLayerTest/1.Test0DConvolution +[ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestSobelConvolution +[ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestSetup +[ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D +[ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (295 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradient +[ OK ] ConvolutionLayerTest/1.TestGradient (56 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradient3D +[ OK ] ConvolutionLayerTest/1.TestGradient3D (482 ms) +[ RUN ] ConvolutionLayerTest/1.Test1x1Convolution +[ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution +[ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (2 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilatedGradient +[ OK ] ConvolutionLayerTest/1.TestDilatedGradient (13 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution +[ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (2 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution +[ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (7 ms) +[----------] 15 tests from ConvolutionLayerTest/1 (1274 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) +[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ReductionLayerTest/1.TestSumCoeff +[ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestSumGradient +[ OK ] ReductionLayerTest/1.TestSumGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeff +[ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestMean +[ OK ] ReductionLayerTest/1.TestMean (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeff +[ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestMeanGradient +[ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient +[ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 +[ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumGradient +[ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestSetUp +[ OK ] ReductionLayerTest/1.TestSetUp (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSum +[ OK ] ReductionLayerTest/1.TestSum (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 +[ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquares +[ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSum +[ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffGradient +[ OK ] ReductionLayerTest/1.TestSumCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 +[ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) +[----------] 27 tests from ReductionLayerTest/1 (9 ms total) -[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from PaddingLayerUpgradeTest +[ RUN ] PaddingLayerUpgradeTest.TestTwoTops +[ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) +[ RUN ] PaddingLayerUpgradeTest.TestImageNet +[ OK ] PaddingLayerUpgradeTest.TestImageNet (1 ms) +[ RUN ] PaddingLayerUpgradeTest.TestSimple +[ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) +[----------] 3 tests from PaddingLayerUpgradeTest (2 ms total) -[----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] RNNLayerTest/0.TestGradientNonZeroCont +[ OK ] RNNLayerTest/0.TestGradientNonZeroCont (80 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (630 ms) +[ RUN ] RNNLayerTest/0.TestForward +[ OK ] RNNLayerTest/0.TestForward (3 ms) +[ RUN ] RNNLayerTest/0.TestGradient +[ OK ] RNNLayerTest/0.TestGradient (80 ms) +[ RUN ] RNNLayerTest/0.TestSetUp +[ OK ] RNNLayerTest/0.TestSetUp (1 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 +[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (153 ms) +[----------] 6 tests from RNNLayerTest/0 (947 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) +[----------] 4 tests from ConstantFillerTest/0, where TypeParam = float +[ RUN ] ConstantFillerTest/0.TestFill +[ OK ] ConstantFillerTest/0.TestFill (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill2D +[ OK ] ConstantFillerTest/0.TestFill2D (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill1D +[ OK ] ConstantFillerTest/0.TestFill1D (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill5D +[ OK ] ConstantFillerTest/0.TestFill5D (0 ms) +[----------] 4 tests from ConstantFillerTest/0 (0 ms total) + +[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5DataLayerTest/0.TestRead +[ OK ] HDF5DataLayerTest/0.TestRead (4 ms) +[ RUN ] HDF5DataLayerTest/0.TestSkip +[ OK ] HDF5DataLayerTest/0.TestSkip (11 ms) +[----------] 2 tests from HDF5DataLayerTest/0 (15 ms total) + +[----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SolverTest/0.TestInitTrainTestNets +[ OK ] SolverTest/0.TestInitTrainTestNets (1 ms) +[----------] 1 test from SolverTest/0 (1 ms total) + +[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LayerFactoryTest/0.TestCreateLayer +[ OK ] LayerFactoryTest/0.TestCreateLayer (32 ms) +[----------] 1 test from LayerFactoryTest/0 (32 ms total) [----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (2 ms) [ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (2 ms) +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 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) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (3 ms total) -[----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float +[ RUN ] PositiveUnitballFillerTest/0.TestFill +[ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill2D +[ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill1D +[ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill5D +[ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) +[----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) -[----------] 2 tests from 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) +[----------] 1 test from SolverTypeUpgradeTest +[ RUN ] SolverTypeUpgradeTest.TestSimple +[ OK ] SolverTypeUpgradeTest.TestSimple (0 ms) +[----------] 1 test from SolverTypeUpgradeTest (0 ms total) -[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 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) -[----------] 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) +[----------] 6 tests from MSRAFillerTest/1, where TypeParam = double +[ RUN ] MSRAFillerTest/1.TestFillFanOut +[ OK ] MSRAFillerTest/1.TestFillFanOut (56 ms) +[ RUN ] MSRAFillerTest/1.TestFill5D +[ OK ] MSRAFillerTest/1.TestFill5D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFill1D +[ OK ] MSRAFillerTest/1.TestFill1D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFillFanIn +[ OK ] MSRAFillerTest/1.TestFillFanIn (57 ms) +[ RUN ] MSRAFillerTest/1.TestFillAverage +[ OK ] MSRAFillerTest/1.TestFillAverage (56 ms) +[ RUN ] MSRAFillerTest/1.TestFill2D +[ OK ] MSRAFillerTest/1.TestFill2D (0 ms) +[----------] 6 tests from MSRAFillerTest/1 (169 ms total) -[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MaxPoolingDropoutTest/0.TestForward +[ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) +[ RUN ] MaxPoolingDropoutTest/0.TestSetup +[ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) +[ RUN ] MaxPoolingDropoutTest/0.TestBackward +[ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) +[----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) + +[----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double +[ RUN ] CPUMathFunctionsTest/1.TestCopy +[ OK ] CPUMathFunctionsTest/1.TestCopy (3 ms) +[ RUN ] CPUMathFunctionsTest/1.TestFabs +[ OK ] CPUMathFunctionsTest/1.TestFabs (4 ms) +[ RUN ] CPUMathFunctionsTest/1.TestAsum +[ OK ] CPUMathFunctionsTest/1.TestAsum (3 ms) +[ RUN ] CPUMathFunctionsTest/1.TestScale +[ OK ] CPUMathFunctionsTest/1.TestScale (3 ms) +[ RUN ] CPUMathFunctionsTest/1.TestSgnbit +[ OK ] CPUMathFunctionsTest/1.TestSgnbit (4 ms) +[ RUN ] CPUMathFunctionsTest/1.TestNothing +[ OK ] CPUMathFunctionsTest/1.TestNothing (3 ms) +[ RUN ] CPUMathFunctionsTest/1.TestSign +[ OK ] CPUMathFunctionsTest/1.TestSign (5 ms) +[----------] 7 tests from CPUMathFunctionsTest/1 (25 ms total) [----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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.TestForwardAve +[ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) +[ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling +[ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (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.TestGradientAve +[ OK ] PoolingLayerTest/1.TestGradientAve (161 ms) +[ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask +[ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (421 ms) [ RUN ] PoolingLayerTest/1.TestSetupPadded [ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) -[----------] 11 tests from PoolingLayerTest/1 (4371 ms total) +[ RUN ] PoolingLayerTest/1.TestGradientAvePadded +[ OK ] PoolingLayerTest/1.TestGradientAvePadded (590 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMax +[ OK ] PoolingLayerTest/1.TestForwardMax (1 ms) +[ RUN ] PoolingLayerTest/1.TestGradientMax +[ OK ] PoolingLayerTest/1.TestGradientMax (468 ms) +[----------] 11 tests from PoolingLayerTest/1 (1641 ms total) -[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SliceLayerTest/1.TestTrivialSlice +[ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) +[ RUN ] SliceLayerTest/1.TestSliceAcrossChannels +[ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) +[ RUN ] SliceLayerTest/1.TestSetupNum +[ OK ] SliceLayerTest/1.TestSetupNum (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientAcrossNum +[ OK ] SliceLayerTest/1.TestGradientAcrossNum (25 ms) +[ RUN ] SliceLayerTest/1.TestGradientTrivial +[ OK ] SliceLayerTest/1.TestGradientTrivial (10 ms) +[ RUN ] SliceLayerTest/1.TestSetupChannels +[ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientAcrossChannels +[ OK ] SliceLayerTest/1.TestGradientAcrossChannels (30 ms) +[ RUN ] SliceLayerTest/1.TestSliceAcrossNum +[ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) +[----------] 8 tests from SliceLayerTest/1 (65 ms total) -[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SliceLayerTest/0.TestSetupChannels +[ OK ] SliceLayerTest/0.TestSetupChannels (1 ms) +[ RUN ] SliceLayerTest/0.TestSliceAcrossNum +[ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) +[ RUN ] SliceLayerTest/0.TestTrivialSlice +[ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) +[ RUN ] SliceLayerTest/0.TestGradientTrivial +[ OK ] SliceLayerTest/0.TestGradientTrivial (9 ms) +[ RUN ] SliceLayerTest/0.TestGradientAcrossNum +[ OK ] SliceLayerTest/0.TestGradientAcrossNum (27 ms) +[ RUN ] SliceLayerTest/0.TestGradientAcrossChannels +[ OK ] SliceLayerTest/0.TestGradientAcrossChannels (30 ms) +[ RUN ] SliceLayerTest/0.TestSliceAcrossChannels +[ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) +[ RUN ] SliceLayerTest/0.TestSetupNum +[ OK ] SliceLayerTest/0.TestSetupNum (0 ms) +[----------] 8 tests from SliceLayerTest/0 (67 ms total) -[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BenchmarkTest/1.TestTimerSeconds +[ OK ] BenchmarkTest/1.TestTimerSeconds (300 ms) +[ RUN ] BenchmarkTest/1.TestTimerStop +[ OK ] BenchmarkTest/1.TestTimerStop (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerMilliSeconds +[ OK ] BenchmarkTest/1.TestTimerMilliSeconds (300 ms) +[ RUN ] BenchmarkTest/1.TestTimerStart +[ OK ] BenchmarkTest/1.TestTimerStart (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerConstructor +[ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) +[----------] 5 tests from BenchmarkTest/1 (600 ms total) -[----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (12 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (12 ms) +[ RUN ] AdamSolverTest/0.TestSnapshot +[ OK ] AdamSolverTest/0.TestSnapshot (11 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (61 ms) +[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (68 ms) +[ RUN ] AdamSolverTest/0.TestSnapshotShare +[ OK ] AdamSolverTest/0.TestSnapshotShare (15 ms) +[----------] 8 tests from AdamSolverTest/0 (183 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) +[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] Im2colLayerTest/1.TestDilatedGradient +[ OK ] Im2colLayerTest/1.TestDilatedGradient (624 ms) +[ RUN ] Im2colLayerTest/1.TestSetup +[ OK ] Im2colLayerTest/1.TestSetup (0 ms) +[ RUN ] Im2colLayerTest/1.TestRectGradient +[ OK ] Im2colLayerTest/1.TestRectGradient (176 ms) +[ RUN ] Im2colLayerTest/1.TestGradientForceND +[ OK ] Im2colLayerTest/1.TestGradientForceND (388 ms) +[ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND +[ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (1170 ms) +[ RUN ] Im2colLayerTest/1.TestGradient +[ OK ] Im2colLayerTest/1.TestGradient (215 ms) +[ RUN ] Im2colLayerTest/1.TestForward +[ OK ] Im2colLayerTest/1.TestForward (0 ms) +[ RUN ] Im2colLayerTest/1.TestRect +[ OK ] Im2colLayerTest/1.TestRect (0 ms) +[----------] 8 tests from Im2colLayerTest/1 (2573 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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.TestSetUp +[ OK ] ReductionLayerTest/0.TestSetUp (0 ms) +[ RUN ] ReductionLayerTest/0.TestMeanGradient +[ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestMean [ OK ] ReductionLayerTest/0.TestMean (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumGradient +[ OK ] ReductionLayerTest/0.TestAbsSumGradient (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquares +[ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSum +[ OK ] ReductionLayerTest/0.TestSum (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeff +[ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffGradient +[ OK ] ReductionLayerTest/0.TestSumCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 +[ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 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.TestSumOfSquaresCoeffGradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 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.TestSetUpWithAxis2 +[ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (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.TestMeanCoeffGradient +[ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (0 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) +[----------] 27 tests from ReductionLayerTest/0 (9 ms total) -[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ImageDataLayerTest/0.TestShuffle +[ OK ] ImageDataLayerTest/0.TestShuffle (96 ms) +[ RUN ] ImageDataLayerTest/0.TestRead +[ OK ] ImageDataLayerTest/0.TestRead (85 ms) +[ RUN ] ImageDataLayerTest/0.TestSpace +[ OK ] ImageDataLayerTest/0.TestSpace (26 ms) +[ RUN ] ImageDataLayerTest/0.TestReshape +[ OK ] ImageDataLayerTest/0.TestReshape (26 ms) +[ RUN ] ImageDataLayerTest/0.TestResize +[ OK ] ImageDataLayerTest/0.TestResize (82 ms) +[----------] 5 tests from ImageDataLayerTest/0 (315 ms total) -[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SolverFactoryTest/0.TestCreateSolver +[ OK ] SolverFactoryTest/0.TestCreateSolver (1 ms) +[----------] 1 test from SolverFactoryTest/0 (1 ms total) -[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin +[ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (63 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam +[ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBias +[ OK ] BiasLayerTest/0.TestForwardBias (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.TestBackwardEltwiseInPlace +[ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 +[ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd +[ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBias +[ OK ] BiasLayerTest/0.TestGradientBias (61 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd +[ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (97 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin +[ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle +[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (70 ms) +[ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam +[ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (153 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwise +[ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace +[ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam +[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (69 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 +[ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (58 ms) +[ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientEltwise +[ OK ] BiasLayerTest/0.TestGradientEltwise (3 ms) +[----------] 20 tests from BiasLayerTest/0 (574 ms total) + +[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxLayerTest/0.TestGradient +[ OK ] SoftmaxLayerTest/0.TestGradient (136 ms) +[ RUN ] SoftmaxLayerTest/0.TestForward +[ OK ] SoftmaxLayerTest/0.TestForward (0 ms) +[----------] 2 tests from SoftmaxLayerTest/0 (136 ms total) + +[----------] 2 tests from InternalThreadTest +[ RUN ] InternalThreadTest.TestStartAndExit +[ OK ] InternalThreadTest.TestStartAndExit (0 ms) +[ RUN ] InternalThreadTest.TestRandomSeed +[ OK ] InternalThreadTest.TestRandomSeed (0 ms) +[----------] 2 tests from InternalThreadTest (0 ms total) + +[----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes +[ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) +[ RUN ] ReshapeLayerTest/1.TestCopyDimensions +[ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) +[ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape +[ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenMiddle +[ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenValues +[ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) +[ RUN ] ReshapeLayerTest/1.TestGradient +[ OK ] ReshapeLayerTest/1.TestGradient (2 ms) +[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified +[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis +[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) +[ RUN ] ReshapeLayerTest/1.TestForward +[ OK ] ReshapeLayerTest/1.TestForward (0 ms) +[----------] 12 tests from ReshapeLayerTest/1 (3 ms total) + +[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5DataLayerTest/1.TestSkip +[ OK ] HDF5DataLayerTest/1.TestSkip (15 ms) +[ RUN ] HDF5DataLayerTest/1.TestRead +[ OK ] HDF5DataLayerTest/1.TestRead (4 ms) +[----------] 2 tests from HDF5DataLayerTest/1 (19 ms total) + +[----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass +[ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes +[ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardTopK +[ OK ] AccuracyLayerTest/1.TestForwardTopK (3 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardPerClass +[ OK ] AccuracyLayerTest/1.TestForwardPerClass (0 ms) +[ RUN ] AccuracyLayerTest/1.TestForward +[ OK ] AccuracyLayerTest/1.TestForward (1 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel +[ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel +[ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (0 ms) +[ RUN ] AccuracyLayerTest/1.TestSetupTopK +[ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) +[ RUN ] AccuracyLayerTest/1.TestSetup +[ OK ] AccuracyLayerTest/1.TestSetup (0 ms) +[----------] 9 tests from AccuracyLayerTest/1 (5 ms total) + +[----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EltwiseLayerTest/1.TestProd +[ OK ] EltwiseLayerTest/1.TestProd (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSumCoeff +[ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSetUp +[ OK ] EltwiseLayerTest/1.TestSetUp (1 ms) +[ RUN ] EltwiseLayerTest/1.TestMax +[ OK ] EltwiseLayerTest/1.TestMax (0 ms) +[ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient +[ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (3 ms) +[ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient +[ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestSumGradient +[ OK ] EltwiseLayerTest/1.TestSumGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestMaxGradient +[ OK ] EltwiseLayerTest/1.TestMaxGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestStableProdGradient +[ OK ] EltwiseLayerTest/1.TestStableProdGradient (3 ms) +[ RUN ] EltwiseLayerTest/1.TestSum +[ OK ] EltwiseLayerTest/1.TestSum (0 ms) +[----------] 10 tests from EltwiseLayerTest/1 (19 ms total) + +[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] EltwiseLayerTest/0.TestSetUp +[ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) +[ RUN ] EltwiseLayerTest/0.TestSumCoeff +[ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) +[ RUN ] EltwiseLayerTest/0.TestSum +[ OK ] EltwiseLayerTest/0.TestSum (0 ms) +[ RUN ] EltwiseLayerTest/0.TestStableProdGradient +[ OK ] EltwiseLayerTest/0.TestStableProdGradient (3 ms) +[ RUN ] EltwiseLayerTest/0.TestSumGradient +[ OK ] EltwiseLayerTest/0.TestSumGradient (4 ms) +[ RUN ] EltwiseLayerTest/0.TestProd +[ OK ] EltwiseLayerTest/0.TestProd (0 ms) +[ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient +[ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (4 ms) +[ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient +[ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (3 ms) +[ RUN ] EltwiseLayerTest/0.TestMax +[ OK ] EltwiseLayerTest/0.TestMax (0 ms) +[ RUN ] EltwiseLayerTest/0.TestMaxGradient +[ OK ] EltwiseLayerTest/0.TestMaxGradient (4 ms) +[----------] 10 tests from EltwiseLayerTest/0 (20 ms total) + +[----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MVNLayerTest/0.TestForwardAcrossChannels +[ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) +[ RUN ] MVNLayerTest/0.TestGradient +[ OK ] MVNLayerTest/0.TestGradient (171 ms) +[ RUN ] MVNLayerTest/0.TestForward +[ OK ] MVNLayerTest/0.TestForward (0 ms) +[ RUN ] MVNLayerTest/0.TestGradientMeanOnly +[ OK ] MVNLayerTest/0.TestGradientMeanOnly (81 ms) +[ RUN ] MVNLayerTest/0.TestGradientAcrossChannels +[ OK ] MVNLayerTest/0.TestGradientAcrossChannels (169 ms) +[ RUN ] MVNLayerTest/0.TestForwardMeanOnly +[ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) +[----------] 6 tests from MVNLayerTest/0 (421 ms total) + +[----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] Im2colLayerTest/0.TestRect +[ OK ] Im2colLayerTest/0.TestRect (1 ms) +[ RUN ] Im2colLayerTest/0.TestGradientForceND +[ OK ] Im2colLayerTest/0.TestGradientForceND (387 ms) +[ RUN ] Im2colLayerTest/0.TestSetup +[ OK ] Im2colLayerTest/0.TestSetup (0 ms) +[ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND +[ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (1146 ms) +[ RUN ] Im2colLayerTest/0.TestForward +[ OK ] Im2colLayerTest/0.TestForward (1 ms) +[ RUN ] Im2colLayerTest/0.TestDilatedGradient +[ OK ] Im2colLayerTest/0.TestDilatedGradient (607 ms) +[ RUN ] Im2colLayerTest/0.TestGradient +[ OK ] Im2colLayerTest/0.TestGradient (208 ms) +[ RUN ] Im2colLayerTest/0.TestRectGradient +[ OK ] Im2colLayerTest/0.TestRectGradient (171 ms) +[----------] 8 tests from Im2colLayerTest/0 (2521 ms total) + +[----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BatchReindexLayerTest/0.TestGradient +[ OK ] BatchReindexLayerTest/0.TestGradient (90 ms) +[ RUN ] BatchReindexLayerTest/0.TestForward +[ OK ] BatchReindexLayerTest/0.TestForward (0 ms) +[----------] 2 tests from BatchReindexLayerTest/0 (90 ms total) + +[----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float +[ RUN ] DummyDataLayerTest/0.TestTwoTopConstant +[ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/0.TestOneTopConstant +[ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant +[ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) +[----------] 3 tests from DummyDataLayerTest/0 (0 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) + +[----------] 20 tests from FilterNetTest +[ RUN ] FilterNetTest.TestNoFilter +[ OK ] FilterNetTest.TestNoFilter (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByMultipleStage +[ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMaxLevel2 +[ OK ] FilterNetTest.TestFilterInByMaxLevel2 (1 ms) +[ RUN ] FilterNetTest.TestFilterInByMultipleStage2 +[ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) +[ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule +[ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMinLevel2 +[ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByNotStage +[ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) +[ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule +[ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (1 ms) +[ RUN ] FilterNetTest.TestFilterInByStage2 +[ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByMaxLevel +[ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInByStage +[ OK ] FilterNetTest.TestFilterInByStage (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByMinLevel +[ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMinLevel +[ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule +[ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (1 ms) +[ RUN ] FilterNetTest.TestFilterOutByStage2 +[ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMaxLevel +[ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByStage +[ OK ] FilterNetTest.TestFilterOutByStage (0 ms) +[ RUN ] FilterNetTest.TestFilterLeNetTrainTest +[ OK ] FilterNetTest.TestFilterLeNetTrainTest (1 ms) +[ RUN ] FilterNetTest.TestFilterInByNotStage +[ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMultipleStage +[ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) +[----------] 20 tests from FilterNetTest (4 ms total) + +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (2 ms) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (3 ms total) + +[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] TanHLayerTest/1.TestTanHOverflow +[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) +[ RUN ] TanHLayerTest/1.TestTanH +[ OK ] TanHLayerTest/1.TestTanH (0 ms) +[ RUN ] TanHLayerTest/1.TestTanHGradient +[ OK ] TanHLayerTest/1.TestTanHGradient (5 ms) +[----------] 3 tests from TanHLayerTest/1 (5 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ThresholdLayerTest/0.Test2 -[ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) +[ RUN ] ThresholdLayerTest/0.Test2 +[ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [----------] 3 tests from ThresholdLayerTest/0 (0 ms total) -[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LRNLayerTest/0.TestSetupAcrossChannels +[ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) +[ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (714 ms) +[ RUN ] LRNLayerTest/0.TestForwardAcrossChannels +[ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/0.TestGradientWithinChannel +[ OK ] LRNLayerTest/0.TestGradientWithinChannel (407 ms) +[ RUN ] LRNLayerTest/0.TestGradientAcrossChannels +[ OK ] LRNLayerTest/0.TestGradientAcrossChannels (555 ms) +[ RUN ] LRNLayerTest/0.TestForwardWithinChannel +[ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) +[ RUN ] LRNLayerTest/0.TestSetupWithinChannel +[ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) +[----------] 8 tests from LRNLayerTest/0 (1676 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) +[----------] 4 tests from BlobSimpleTest/1, where TypeParam = double +[ RUN ] BlobSimpleTest/1.TestInitialization +[ OK ] BlobSimpleTest/1.TestInitialization (0 ms) +[ RUN ] BlobSimpleTest/1.TestReshape +[ OK ] BlobSimpleTest/1.TestReshape (0 ms) +[ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals +[ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) +[ RUN ] BlobSimpleTest/1.TestReshapeZero +[ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) +[----------] 4 tests from BlobSimpleTest/1 (1 ms total) -[----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] CropLayerTest/0.TestSetupShapeDefault +[ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) +[ RUN ] CropLayerTest/0.TestCropAll +[ OK ] CropLayerTest/0.TestCropAll (0 ms) +[ RUN ] CropLayerTest/0.TestDimensionsCheck +[ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) +[ RUN ] CropLayerTest/0.TestCropHWGradient +[ OK ] CropLayerTest/0.TestCropHWGradient (294 ms) +[ RUN ] CropLayerTest/0.TestCrop5DGradient +[ OK ] CropLayerTest/0.TestCrop5DGradient (1090 ms) +[ RUN ] CropLayerTest/0.TestCropHW +[ OK ] CropLayerTest/0.TestCropHW (0 ms) +[ RUN ] CropLayerTest/0.TestSetupShapeAll +[ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) +[ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing +[ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) +[ RUN ] CropLayerTest/0.TestCrop5D +[ OK ] CropLayerTest/0.TestCrop5D (0 ms) +[ RUN ] CropLayerTest/0.TestCropAllGradient +[ OK ] CropLayerTest/0.TestCropAllGradient (175 ms) +[ RUN ] CropLayerTest/0.TestCropAllOffset +[ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) +[----------] 11 tests from CropLayerTest/0 (1559 ms total) -[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] InnerProductLayerTest/0.TestGradientTranspose +[ OK ] InnerProductLayerTest/0.TestGradientTranspose (104 ms) +[ RUN ] InnerProductLayerTest/0.TestForward +[ OK ] InnerProductLayerTest/0.TestForward (0 ms) +[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse +[ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) +[ RUN ] InnerProductLayerTest/0.TestGradient +[ OK ] InnerProductLayerTest/0.TestGradient (83 ms) +[ RUN ] InnerProductLayerTest/0.TestBackwardTranspose +[ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/0.TestSetUp +[ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) +[ RUN ] InnerProductLayerTest/0.TestForwardNoBatch +[ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) +[ RUN ] InnerProductLayerTest/0.TestForwardTranspose +[ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue +[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) +[----------] 9 tests from InnerProductLayerTest/0 (187 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) +[----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (64 ms) +[ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare +[ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (14 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (24 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (61 ms) +[ RUN ] AdaDeltaSolverTest/0.TestSnapshot +[ OK ] AdaDeltaSolverTest/0.TestSnapshot (11 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (63 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (25 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (12 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (12 ms) +[----------] 11 tests from AdaDeltaSolverTest/0 (291 ms total) -[----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ConcatLayerTest/1.TestGradientChannels +[ OK ] ConcatLayerTest/1.TestGradientChannels (3 ms) +[ RUN ] ConcatLayerTest/1.TestForwardChannels +[ OK ] ConcatLayerTest/1.TestForwardChannels (1 ms) +[ RUN ] ConcatLayerTest/1.TestForwardTrivial +[ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientNum +[ OK ] ConcatLayerTest/1.TestGradientNum (3 ms) +[ RUN ] ConcatLayerTest/1.TestForwardNum +[ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly +[ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (2 ms) +[ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing +[ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientTrivial +[ OK ] ConcatLayerTest/1.TestGradientTrivial (2 ms) +[ RUN ] ConcatLayerTest/1.TestSetupChannels +[ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) +[ RUN ] ConcatLayerTest/1.TestSetupNum +[ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) +[----------] 10 tests from ConcatLayerTest/1 (12 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) +[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double +[ RUN ] ArgMaxLayerTest/1.TestSetup +[ OK ] ArgMaxLayerTest/1.TestSetup (0 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxis +[ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal +[ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK +[ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (28 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK +[ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (26 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK +[ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (0 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxis +[ OK ] ArgMaxLayerTest/1.TestCPUAxis (7 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing +[ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal +[ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPU +[ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal +[ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUTopK +[ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) +[----------] 12 tests from ArgMaxLayerTest/1 (70 ms total) + +[----------] 4 tests from UniformFillerTest/1, where TypeParam = double +[ RUN ] UniformFillerTest/1.TestFill1D +[ OK ] UniformFillerTest/1.TestFill1D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill5D +[ OK ] UniformFillerTest/1.TestFill5D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill2D +[ OK ] UniformFillerTest/1.TestFill2D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill +[ OK ] UniformFillerTest/1.TestFill (0 ms) +[----------] 4 tests from UniformFillerTest/1 (0 ms total) + +[----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] EmbedLayerTest/0.TestForward +[ OK ] EmbedLayerTest/0.TestForward (0 ms) +[ RUN ] EmbedLayerTest/0.TestGradient +[ OK ] EmbedLayerTest/0.TestGradient (9 ms) +[ RUN ] EmbedLayerTest/0.TestSetUp +[ OK ] EmbedLayerTest/0.TestSetUp (0 ms) +[ RUN ] EmbedLayerTest/0.TestForwardWithBias +[ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) +[ RUN ] EmbedLayerTest/0.TestGradientWithBias +[ OK ] EmbedLayerTest/0.TestGradientWithBias (11 ms) +[----------] 5 tests from EmbedLayerTest/0 (20 ms total) + +[----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double +[ RUN ] DummyDataLayerTest/1.TestTwoTopConstant +[ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/1.TestOneTopConstant +[ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant +[ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) +[----------] 3 tests from DummyDataLayerTest/1 (0 ms total) + +[----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NeuronLayerTest/1.TestSigmoid +[ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) +[ RUN ] NeuronLayerTest/1.TestELU +[ OK ] NeuronLayerTest/1.TestELU (0 ms) +[ RUN ] NeuronLayerTest/1.TestReLU +[ OK ] NeuronLayerTest/1.TestReLU (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUGradient +[ OK ] NeuronLayerTest/1.TestPReLUGradient (90 ms) +[ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope +[ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) +[ RUN ] NeuronLayerTest/1.TestELUGradient +[ OK ] NeuronLayerTest/1.TestELUGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestAbsVal +[ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayer +[ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwish +[ OK ] NeuronLayerTest/1.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradient +[ OK ] NeuronLayerTest/1.TestLogGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestSwishWithBeta +[ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) +[ RUN ] NeuronLayerTest/1.TestClip +[ OK ] NeuronLayerTest/1.TestClip (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (4 ms) +[ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient +[ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (5 ms) +[ RUN ] NeuronLayerTest/1.TestBNLLGradient +[ OK ] NeuronLayerTest/1.TestBNLLGradient (5 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutGradientTest +[ OK ] NeuronLayerTest/1.TestDropoutGradientTest (1 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2 (1 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (3 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUForward +[ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient +[ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (1 ms) +[ RUN ] NeuronLayerTest/1.TestTanH +[ OK ] NeuronLayerTest/1.TestTanH (1 ms) +[ RUN ] NeuronLayerTest/1.TestSigmoidGradient +[ OK ] NeuronLayerTest/1.TestSigmoidGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared +[ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU +[ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestELUasReLU +[ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters +[ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2 (4 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (3 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestAbsGradient +[ OK ] NeuronLayerTest/1.TestAbsGradient (1 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUInPlace +[ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerWithShift +[ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) +[ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope +[ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (2 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestReLUGradient +[ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (3 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutGradient +[ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutHalf +[ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUParam +[ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestClipGradient +[ OK ] NeuronLayerTest/1.TestClipGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutTestPhase +[ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared +[ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (86 ms) +[ RUN ] NeuronLayerTest/1.TestSwishAsLinear +[ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) +[ RUN ] NeuronLayerTest/1.TestBNLL +[ OK ] NeuronLayerTest/1.TestBNLL (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientWithShift +[ OK ] NeuronLayerTest/1.TestExpGradientWithShift (4 ms) +[ RUN ] NeuronLayerTest/1.TestELUasReLUGradient +[ OK ] NeuronLayerTest/1.TestELUasReLUGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestSwishGradient +[ OK ] NeuronLayerTest/1.TestSwishGradient (5 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2 (3 ms) +[ RUN ] NeuronLayerTest/1.TestTanHGradient +[ OK ] NeuronLayerTest/1.TestTanHGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayer +[ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradient +[ OK ] NeuronLayerTest/1.TestExpGradient (4 ms) +[----------] 58 tests from NeuronLayerTest/1 (258 ms total) + +[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (69 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (65 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (13 ms) +[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) +[ RUN ] AdaGradSolverTest/1.TestSnapshot +[ OK ] AdaGradSolverTest/1.TestSnapshot (13 ms) +[ RUN ] AdaGradSolverTest/1.TestSnapshotShare +[ OK ] AdaGradSolverTest/1.TestSnapshotShare (15 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (14 ms) +[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (14 ms) +[----------] 9 tests from AdaGradSolverTest/1 (208 ms total) + +[----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] TileLayerTest/0.TestForwardChannels +[ OK ] TileLayerTest/0.TestForwardChannels (0 ms) +[ RUN ] TileLayerTest/0.TestGradientChannels +[ OK ] TileLayerTest/0.TestGradientChannels (194 ms) +[ RUN ] TileLayerTest/0.TestTrivialGradient +[ OK ] TileLayerTest/0.TestTrivialGradient (57 ms) +[ RUN ] TileLayerTest/0.TestGradientNum +[ OK ] TileLayerTest/0.TestGradientNum (180 ms) +[ RUN ] TileLayerTest/0.TestSetup +[ OK ] TileLayerTest/0.TestSetup (0 ms) +[ RUN ] TileLayerTest/0.TestForwardNum +[ OK ] TileLayerTest/0.TestForwardNum (0 ms) +[ RUN ] TileLayerTest/0.TestTrivialSetup +[ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) +[----------] 7 tests from TileLayerTest/0 (431 ms total) + +[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LRNLayerTest/1.TestForwardWithinChannel +[ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) +[ RUN ] LRNLayerTest/1.TestSetupWithinChannel +[ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) +[ RUN ] LRNLayerTest/1.TestGradientAcrossChannels +[ OK ] LRNLayerTest/1.TestGradientAcrossChannels (921 ms) +[ RUN ] LRNLayerTest/1.TestSetupAcrossChannels +[ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/1.TestForwardAcrossChannels +[ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (0 ms) +[ RUN ] LRNLayerTest/1.TestGradientWithinChannel +[ OK ] LRNLayerTest/1.TestGradientWithinChannel (792 ms) +[ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1144 ms) +[----------] 8 tests from LRNLayerTest/1 (2857 ms total) + +[----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HingeLossLayerTest/0.TestGradientL1 +[ OK ] HingeLossLayerTest/0.TestGradientL1 (0 ms) +[ RUN ] HingeLossLayerTest/0.TestGradientL2 +[ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) +[----------] 2 tests from HingeLossLayerTest/0 (0 ms total) [----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] InnerProductLayerTest/1.TestSetUp -[ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) -[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue -[ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (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.TestGradient +[ OK ] InnerProductLayerTest/1.TestGradient (99 ms) +[ RUN ] InnerProductLayerTest/1.TestBackwardTranspose +[ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue +[ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) +[ RUN ] InnerProductLayerTest/1.TestGradientTranspose +[ OK ] InnerProductLayerTest/1.TestGradientTranspose (120 ms) [ RUN ] InnerProductLayerTest/1.TestForwardNoBatch [ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) -[----------] 9 tests from InnerProductLayerTest/1 (383 ms total) +[ RUN ] InnerProductLayerTest/1.TestForwardTranspose +[ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/1.TestSetUp +[ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) +[----------] 9 tests from InnerProductLayerTest/1 (219 ms total) + +[----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SPPLayerTest/1.TestGradient +[ OK ] SPPLayerTest/1.TestGradient (1596 ms) +[ RUN ] SPPLayerTest/1.TestForwardBackward +[ OK ] SPPLayerTest/1.TestForwardBackward (1 ms) +[ RUN ] SPPLayerTest/1.TestSetup +[ OK ] SPPLayerTest/1.TestSetup (0 ms) +[ RUN ] SPPLayerTest/1.TestEqualOutputDims2 +[ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) +[ RUN ] SPPLayerTest/1.TestEqualOutputDims +[ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) +[----------] 5 tests from SPPLayerTest/1 (1597 ms total) [----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice [ RUN ] HDF5OutputLayerTest/0.TestForward -[ OK ] HDF5OutputLayerTest/0.TestForward (24 ms) -[----------] 1 test from HDF5OutputLayerTest/0 (24 ms total) +[ OK ] HDF5OutputLayerTest/0.TestForward (2 ms) +[----------] 1 test from HDF5OutputLayerTest/0 (2 ms total) -[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BlobMathTest/0.TestAsum -[ OK ] BlobMathTest/0.TestAsum (0 ms) -[ RUN ] BlobMathTest/0.TestSumOfSquares -[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) -[ RUN ] BlobMathTest/0.TestScaleData -[ OK ] BlobMathTest/0.TestScaleData (0 ms) -[----------] 3 tests from BlobMathTest/0 (0 ms total) - -[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SplitLayerTest/0.Test -[ OK ] SplitLayerTest/0.Test (0 ms) -[ RUN ] SplitLayerTest/0.TestGradient -[ OK ] SplitLayerTest/0.TestGradient (15 ms) -[ RUN ] SplitLayerTest/0.TestSetup -[ OK ] SplitLayerTest/0.TestSetup (0 ms) -[----------] 3 tests from SplitLayerTest/0 (15 ms total) - -[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxLayerTest/0.TestForward -[ OK ] SoftmaxLayerTest/0.TestForward (1 ms) -[ RUN ] SoftmaxLayerTest/0.TestGradient -[ OK ] SoftmaxLayerTest/0.TestGradient (275 ms) -[----------] 2 tests from SoftmaxLayerTest/0 (276 ms total) - -[----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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 -[ 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) +[----------] 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) -[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float +[ RUN ] CPUMathFunctionsTest/0.TestAsum +[ OK ] CPUMathFunctionsTest/0.TestAsum (2 ms) +[ RUN ] CPUMathFunctionsTest/0.TestSgnbit +[ OK ] CPUMathFunctionsTest/0.TestSgnbit (4 ms) +[ RUN ] CPUMathFunctionsTest/0.TestNothing +[ OK ] CPUMathFunctionsTest/0.TestNothing (2 ms) +[ RUN ] CPUMathFunctionsTest/0.TestCopy +[ OK ] CPUMathFunctionsTest/0.TestCopy (2 ms) +[ RUN ] CPUMathFunctionsTest/0.TestSign +[ OK ] CPUMathFunctionsTest/0.TestSign (4 ms) +[ RUN ] CPUMathFunctionsTest/0.TestFabs +[ OK ] CPUMathFunctionsTest/0.TestFabs (3 ms) +[ RUN ] CPUMathFunctionsTest/0.TestScale +[ OK ] CPUMathFunctionsTest/0.TestScale (3 ms) +[----------] 7 tests from CPUMathFunctionsTest/0 (20 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) +[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd +[ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (295 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (114 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd +[ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias +[ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (80 ms) +[ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace +[ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardScale +[ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientEltwise +[ OK ] ScaleLayerTest/0.TestGradientEltwise (7 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin +[ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin +[ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (77 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScale +[ OK ] ScaleLayerTest/0.TestGradientScale (65 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle +[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (114 ms) +[ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam +[ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (508 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 +[ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (65 ms) +[ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace +[ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwise +[ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam +[ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 +[ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) +[----------] 22 tests from ScaleLayerTest/0 (1326 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) +[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BatchNormLayerTest/0.TestGradient +[ OK ] BatchNormLayerTest/0.TestGradient (128 ms) +[ RUN ] BatchNormLayerTest/0.TestForwardInplace +[ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) +[ RUN ] BatchNormLayerTest/0.TestForward +[ OK ] BatchNormLayerTest/0.TestForward (0 ms) +[----------] 3 tests from BatchNormLayerTest/0 (128 ms total) -[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from SyncedMemoryTest +[ RUN ] SyncedMemoryTest.TestCPUWrite +[ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) +[ RUN ] SyncedMemoryTest.TestInitialization +[ OK ] SyncedMemoryTest.TestInitialization (0 ms) +[ RUN ] SyncedMemoryTest.TestAllocationCPU +[ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) +[----------] 3 tests from SyncedMemoryTest (0 ms total) [----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] NeuronLayerTest/0.TestSwish -[ OK ] NeuronLayerTest/0.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (2 ms) +[ RUN ] NeuronLayerTest/0.TestClipGradient +[ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2 (2 ms) [ RUN ] NeuronLayerTest/0.TestSigmoidGradient -[ OK ] NeuronLayerTest/0.TestSigmoidGradient (9 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) +[ OK ] NeuronLayerTest/0.TestSigmoidGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestELUasReLU +[ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) [ RUN ] NeuronLayerTest/0.TestExpGradientWithShift -[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (5 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU -[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) +[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) +[ RUN ] NeuronLayerTest/0.TestBNLL +[ OK ] NeuronLayerTest/0.TestBNLL (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient +[ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestELUGradient +[ OK ] NeuronLayerTest/0.TestELUGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradient +[ OK ] NeuronLayerTest/0.TestLogGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutGradient +[ OK ] NeuronLayerTest/0.TestDropoutGradient (3 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (2 ms) [ RUN ] NeuronLayerTest/0.TestDropoutGradientTest -[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (3 ms) +[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) +[ RUN ] NeuronLayerTest/0.TestTanHGradient +[ OK ] NeuronLayerTest/0.TestTanHGradient (4 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (3 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (2 ms) +[ RUN ] NeuronLayerTest/0.TestSwish +[ OK ] NeuronLayerTest/0.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/0.TestELUasReLUGradient +[ OK ] NeuronLayerTest/0.TestELUasReLUGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUInPlace +[ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) +[ RUN ] NeuronLayerTest/0.TestAbsGradient +[ OK ] NeuronLayerTest/0.TestAbsGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradient +[ OK ] NeuronLayerTest/0.TestExpGradient (2 ms) [ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (2 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU +[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishAsLinear +[ OK ] NeuronLayerTest/0.TestSwishAsLinear (1 ms) +[ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope +[ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (1 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2 (2 ms) +[ RUN ] NeuronLayerTest/0.TestSwishGradient +[ OK ] NeuronLayerTest/0.TestSwishGradient (6 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutTestPhase +[ OK ] NeuronLayerTest/0.TestDropoutTestPhase (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) +[ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestTanH +[ OK ] NeuronLayerTest/0.TestTanH (0 ms) +[ RUN ] NeuronLayerTest/0.TestSigmoid +[ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayer +[ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/0.TestReLU [ OK ] NeuronLayerTest/0.TestReLU (0 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared -[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishWithBeta +[ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutHalf +[ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2 (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.TestPReLUGradientChannelShared +[ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (96 ms) +[ RUN ] NeuronLayerTest/0.TestELU +[ OK ] NeuronLayerTest/0.TestELU (0 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters +[ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) +[ RUN ] NeuronLayerTest/0.TestBNLLGradient +[ OK ] NeuronLayerTest/0.TestBNLLGradient (4 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayer +[ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared +[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope +[ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (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.TestAbsVal +[ OK ] NeuronLayerTest/0.TestAbsVal (0 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.TestLogLayerBase2 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUForward +[ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) +[ RUN ] NeuronLayerTest/0.TestReLUGradient +[ OK ] NeuronLayerTest/0.TestReLUGradient (1 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 -[ 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 -[ 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) +[ OK ] NeuronLayerTest/0.TestPReLUGradient (99 ms) +[----------] 58 tests from NeuronLayerTest/0 (262 ms total) -[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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 -[ 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) +[----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] InfogainLossLayerTest/0.TestInfogainLoss +[ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) +[ RUN ] InfogainLossLayerTest/0.TestGradient +[ OK ] InfogainLossLayerTest/0.TestGradient (1 ms) +[----------] 2 tests from InfogainLossLayerTest/0 (1 ms total) -[----------] 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) +[----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero +[ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (7 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwoGradient +[ OK ] PowerLayerTest/1.TestPowerTwoGradient (2 ms) +[ RUN ] PowerLayerTest/1.TestPowerZeroGradient +[ OK ] PowerLayerTest/1.TestPowerZeroGradient (2 ms) +[ RUN ] PowerLayerTest/1.TestPowerOneGradient +[ OK ] PowerLayerTest/1.TestPowerOneGradient (1 ms) +[ RUN ] PowerLayerTest/1.TestPower +[ OK ] PowerLayerTest/1.TestPower (1 ms) +[ RUN ] PowerLayerTest/1.TestPowerGradient +[ OK ] PowerLayerTest/1.TestPowerGradient (5 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient +[ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (3 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwo +[ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerOne +[ OK ] PowerLayerTest/1.TestPowerOne (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerZero +[ OK ] PowerLayerTest/1.TestPowerZero (0 ms) +[----------] 10 tests from PowerLayerTest/1 (21 ms total) -[----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from UniformFillerTest/0, where TypeParam = float +[ RUN ] UniformFillerTest/0.TestFill2D +[ OK ] UniformFillerTest/0.TestFill2D (0 ms) +[ RUN ] UniformFillerTest/0.TestFill5D +[ OK ] UniformFillerTest/0.TestFill5D (0 ms) +[ RUN ] UniformFillerTest/0.TestFill +[ OK ] UniformFillerTest/0.TestFill (0 ms) +[ RUN ] UniformFillerTest/0.TestFill1D +[ OK ] UniformFillerTest/0.TestFill1D (0 ms) +[----------] 4 tests from UniformFillerTest/0 (0 ms total) -[----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BlobMathTest/1.TestSumOfSquares +[ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) +[ RUN ] BlobMathTest/1.TestScaleData +[ OK ] BlobMathTest/1.TestScaleData (0 ms) +[ RUN ] BlobMathTest/1.TestAsum +[ OK ] BlobMathTest/1.TestAsum (0 ms) +[----------] 3 tests from BlobMathTest/1 (1 ms total) [----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (20 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (57 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) +[ OK ] DataLayerTest/0.TestReadCropTestLevelDB (28 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) +[ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (31 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) +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (6 ms) [ RUN ] DataLayerTest/0.TestReadLevelDB -[ OK ] DataLayerTest/0.TestReadLevelDB (52 ms) +[ OK ] DataLayerTest/0.TestReadLevelDB (32 ms) +[ RUN ] DataLayerTest/0.TestReadLMDB +[ OK ] DataLayerTest/0.TestReadLMDB (7 ms) +[ RUN ] DataLayerTest/0.TestSkipLMDB +[ OK ] DataLayerTest/0.TestSkipLMDB (8 ms) +[ RUN ] DataLayerTest/0.TestReshapeLMDB +[ OK ] DataLayerTest/0.TestReshapeLMDB (6 ms) +[ RUN ] DataLayerTest/0.TestReshapeLevelDB +[ OK ] DataLayerTest/0.TestReshapeLevelDB (30 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (47 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (6 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 -[ 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 -[ 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 -[ RUN ] SolverTest/1.TestInitTrainTestNets -[ OK ] SolverTest/1.TestInitTrainTestNets (42 ms) -[----------] 1 test from SolverTest/1 (42 ms total) +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (7 ms) +[ RUN ] DataLayerTest/0.TestReadCropTestLMDB +[ OK ] DataLayerTest/0.TestReadCropTestLMDB (6 ms) +[ RUN ] DataLayerTest/0.TestSkipLevelDB +[ OK ] DataLayerTest/0.TestSkipLevelDB (108 ms) +[----------] 14 tests from DataLayerTest/0 (379 ms total) -[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] TileLayerTest/1.TestGradientNum +[ OK ] TileLayerTest/1.TestGradientNum (196 ms) +[ RUN ] TileLayerTest/1.TestForwardChannels +[ OK ] TileLayerTest/1.TestForwardChannels (0 ms) +[ RUN ] TileLayerTest/1.TestSetup +[ OK ] TileLayerTest/1.TestSetup (0 ms) +[ RUN ] TileLayerTest/1.TestTrivialSetup +[ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) +[ RUN ] TileLayerTest/1.TestGradientChannels +[ OK ] TileLayerTest/1.TestGradientChannels (212 ms) +[ RUN ] TileLayerTest/1.TestForwardNum +[ OK ] TileLayerTest/1.TestForwardNum (0 ms) +[ RUN ] TileLayerTest/1.TestTrivialGradient +[ OK ] TileLayerTest/1.TestTrivialGradient (62 ms) +[----------] 7 tests from TileLayerTest/1 (470 ms total) -[----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (71 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (14 ms) +[ RUN ] RMSPropSolverTest/0.TestSnapshot +[ OK ] RMSPropSolverTest/0.TestSnapshot (11 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (73 ms) +[ RUN ] RMSPropSolverTest/0.TestSnapshotShare +[ OK ] RMSPropSolverTest/0.TestSnapshotShare (15 ms) +[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (69 ms) +[----------] 8 tests from RMSPropSolverTest/0 (257 ms total) -[----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 2 tests from CommonTest +[ RUN ] CommonTest.TestRandSeedCPU +[ OK ] CommonTest.TestRandSeedCPU (0 ms) +[ RUN ] CommonTest.TestBrewMode +[ OK ] CommonTest.TestBrewMode (0 ms) +[----------] 2 tests from CommonTest (0 ms total) -[----------] 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) +[----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis +[ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithAxis +[ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetup +[ OK ] FlattenLayerTest/0.TestSetup (0 ms) +[ RUN ] FlattenLayerTest/0.TestGradient +[ OK ] FlattenLayerTest/0.TestGradient (3 ms) +[ RUN ] FlattenLayerTest/0.TestForward +[ OK ] FlattenLayerTest/0.TestForward (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis +[ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) +[----------] 6 tests from FlattenLayerTest/0 (3 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) +[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy +[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy +[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (218 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestForward +[ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestGradient +[ OK ] ContrastiveLossLayerTest/0.TestGradient (235 ms) +[----------] 4 tests from ContrastiveLossLayerTest/0 (453 ms total) -[----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SplitLayerTest/1.Test -[ OK ] SplitLayerTest/1.Test (0 ms) -[ RUN ] SplitLayerTest/1.TestSetup -[ OK ] SplitLayerTest/1.TestSetup (0 ms) -[ RUN ] SplitLayerTest/1.TestGradient -[ OK ] SplitLayerTest/1.TestGradient (10 ms) -[----------] 3 tests from SplitLayerTest/1 (10 ms total) +[----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] EuclideanLossLayerTest/0.TestForward +[ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) +[ RUN ] EuclideanLossLayerTest/0.TestGradient +[ OK ] EuclideanLossLayerTest/0.TestGradient (0 ms) +[----------] 2 tests from EuclideanLossLayerTest/0 (0 ms total) -[----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice -[ 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) +[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradient +[ OK ] SoftmaxWithLossLayerTest/1.TestGradient (17 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (17 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized +[ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (17 ms) +[----------] 4 tests from SoftmaxWithLossLayerTest/1 (51 ms total) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss -[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (9 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (4 ms) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (13 ms total) +[----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MemoryDataLayerTest/0.TestForward +[ OK ] MemoryDataLayerTest/0.TestForward (27 ms) +[ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform +[ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) +[ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform +[ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) +[ RUN ] MemoryDataLayerTest/0.TestSetBatchSize +[ OK ] MemoryDataLayerTest/0.TestSetBatchSize (1 ms) +[ RUN ] MemoryDataLayerTest/0.TestSetup +[ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) +[----------] 5 tests from MemoryDataLayerTest/0 (31 ms total) [----------] Global test environment tear-down -[==========] 1162 tests from 152 test cases ran. (123491 ms total) +[==========] 1162 tests from 152 test cases ran. (51012 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest @@ -14837,11 +14903,11 @@ .../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: +I0728 11:24:04.881220 33722 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data +I0728 11:24:04.881258 33722 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data +I0728 11:24:04.881270 33722 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss +I0728 11:24:04.881276 33722 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss +I0728 11:24:04.881284 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -14883,35 +14949,35 @@ 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: +I0728 11:24:04.881389 33722 layer_factory.hpp:77] Creating layer deploy_data +I0728 11:24:04.881429 33722 net.cpp:86] Creating Layer deploy_data +I0728 11:24:04.881438 33722 net.cpp:382] deploy_data -> data +I0728 11:24:04.881516 33722 net.cpp:124] Setting up deploy_data +I0728 11:24:04.881536 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.881546 33722 net.cpp:139] Memory required for data: 400 +I0728 11:24:04.881552 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.881567 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.881577 33722 net.cpp:408] ip <- data +I0728 11:24:04.881585 33722 net.cpp:382] ip -> ip +I0728 11:24:04.881639 33722 net.cpp:124] Setting up ip +I0728 11:24:04.881652 33722 net.cpp:131] Top shape: 1 2 (2) +I0728 11:24:04.881659 33722 net.cpp:139] Memory required for data: 408 +I0728 11:24:04.881678 33722 layer_factory.hpp:77] Creating layer pred +I0728 11:24:04.881690 33722 net.cpp:86] Creating Layer pred +I0728 11:24:04.881696 33722 net.cpp:408] pred <- ip +I0728 11:24:04.881705 33722 net.cpp:382] pred -> pred +I0728 11:24:04.881727 33722 net.cpp:124] Setting up pred +I0728 11:24:04.881749 33722 net.cpp:131] Top shape: 1 2 (2) +I0728 11:24:04.881757 33722 net.cpp:139] Memory required for data: 416 +I0728 11:24:04.881763 33722 net.cpp:202] pred does not need backward computation. +I0728 11:24:04.881769 33722 net.cpp:202] ip does not need backward computation. +I0728 11:24:04.881775 33722 net.cpp:202] deploy_data does not need backward computation. +I0728 11:24:04.881780 33722 net.cpp:244] This network produces output pred +I0728 11:24:04.881788 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.882658 33722 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data +I0728 11:24:04.882678 33722 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data +I0728 11:24:04.882688 33722 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred +I0728 11:24:04.882694 33722 net.cpp:53] Initializing net from parameters: state { phase: TRAIN level: 0 @@ -14965,41 +15031,41 @@ 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: +I0728 11:24:04.882767 33722 layer_factory.hpp:77] Creating layer train_data +I0728 11:24:04.882781 33722 net.cpp:86] Creating Layer train_data +I0728 11:24:04.882791 33722 net.cpp:382] train_data -> data +I0728 11:24:04.882803 33722 net.cpp:382] train_data -> label +I0728 11:24:04.882820 33722 net.cpp:124] Setting up train_data +I0728 11:24:04.882828 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.882836 33722 net.cpp:131] Top shape: 1 1 1 1 (1) +I0728 11:24:04.882843 33722 net.cpp:139] Memory required for data: 404 +I0728 11:24:04.882849 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.882858 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.882864 33722 net.cpp:408] ip <- data +I0728 11:24:04.882874 33722 net.cpp:382] ip -> ip +I0728 11:24:04.882891 33722 net.cpp:124] Setting up ip +I0728 11:24:04.882897 33722 net.cpp:131] Top shape: 1 2 (2) +I0728 11:24:04.882905 33722 net.cpp:139] Memory required for data: 412 +I0728 11:24:04.882916 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.882944 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.882951 33722 net.cpp:408] loss <- ip +I0728 11:24:04.882957 33722 net.cpp:408] loss <- label +I0728 11:24:04.882967 33722 net.cpp:382] loss -> loss +I0728 11:24:04.882994 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.883018 33722 net.cpp:124] Setting up loss +I0728 11:24:04.883025 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.883033 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.883060 33722 net.cpp:139] Memory required for data: 416 +I0728 11:24:04.883067 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.883074 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.883081 33722 net.cpp:202] train_data does not need backward computation. +I0728 11:24:04.883086 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.883095 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.883777 33722 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data +I0728 11:24:04.883816 33722 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data +I0728 11:24:04.883823 33722 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss +I0728 11:24:04.883831 33722 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred +I0728 11:24:04.883837 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -15053,39 +15119,39 @@ 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: +I0728 11:24:04.883932 33722 layer_factory.hpp:77] Creating layer val_data +I0728 11:24:04.883945 33722 net.cpp:86] Creating Layer val_data +I0728 11:24:04.883955 33722 net.cpp:382] val_data -> data +I0728 11:24:04.883970 33722 net.cpp:382] val_data -> label +I0728 11:24:04.884004 33722 net.cpp:124] Setting up val_data +I0728 11:24:04.884011 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.884021 33722 net.cpp:131] Top shape: 1 1 1 1 (1) +I0728 11:24:04.884027 33722 net.cpp:139] Memory required for data: 404 +I0728 11:24:04.884034 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.884043 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.884050 33722 net.cpp:408] ip <- data +I0728 11:24:04.884059 33722 net.cpp:382] ip -> ip +I0728 11:24:04.884096 33722 net.cpp:124] Setting up ip +I0728 11:24:04.884104 33722 net.cpp:131] Top shape: 1 2 (2) +I0728 11:24:04.884112 33722 net.cpp:139] Memory required for data: 412 +I0728 11:24:04.884126 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.884138 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.884145 33722 net.cpp:408] loss <- ip +I0728 11:24:04.884152 33722 net.cpp:408] loss <- label +I0728 11:24:04.884161 33722 net.cpp:382] loss -> loss +I0728 11:24:04.884174 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.884193 33722 net.cpp:124] Setting up loss +I0728 11:24:04.884199 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.884207 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.884220 33722 net.cpp:139] Memory required for data: 416 +I0728 11:24:04.884227 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.884233 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.884241 33722 net.cpp:202] val_data does not need backward computation. +I0728 11:24:04.884246 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.884256 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.884924 33722 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only +I0728 11:24:04.884948 33722 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 +I0728 11:24:04.884955 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -15137,55 +15203,55 @@ 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: +I0728 11:24:04.885056 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.885069 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.885077 33722 net.cpp:382] data -> data +I0728 11:24:04.885094 33722 net.cpp:124] Setting up data +I0728 11:24:04.885102 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.885110 33722 net.cpp:139] Memory required for data: 400 +I0728 11:24:04.885116 33722 layer_factory.hpp:77] Creating layer data_data_0_split +I0728 11:24:04.885128 33722 net.cpp:86] Creating Layer data_data_0_split +I0728 11:24:04.885133 33722 net.cpp:408] data_data_0_split <- data +I0728 11:24:04.885143 33722 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0728 11:24:04.885154 33722 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0728 11:24:04.885164 33722 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0728 11:24:04.885179 33722 net.cpp:124] Setting up data_data_0_split +I0728 11:24:04.885185 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.885193 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.885200 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.885206 33722 net.cpp:139] Memory required for data: 1600 +I0728 11:24:04.885212 33722 layer_factory.hpp:77] Creating layer NoLevel +I0728 11:24:04.885222 33722 net.cpp:86] Creating Layer NoLevel +I0728 11:24:04.885229 33722 net.cpp:408] NoLevel <- data_data_0_split_0 +I0728 11:24:04.885238 33722 net.cpp:382] NoLevel -> NoLevel +I0728 11:24:04.885257 33722 net.cpp:124] Setting up NoLevel +I0728 11:24:04.885264 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.885272 33722 net.cpp:139] Memory required for data: 1604 +I0728 11:24:04.885284 33722 layer_factory.hpp:77] Creating layer Level0Only +I0728 11:24:04.885295 33722 net.cpp:86] Creating Layer Level0Only +I0728 11:24:04.885301 33722 net.cpp:408] Level0Only <- data_data_0_split_1 +I0728 11:24:04.885310 33722 net.cpp:382] Level0Only -> Level0Only +I0728 11:24:04.885327 33722 net.cpp:124] Setting up Level0Only +I0728 11:24:04.885334 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.885341 33722 net.cpp:139] Memory required for data: 1608 +I0728 11:24:04.885354 33722 layer_factory.hpp:77] Creating layer Level>=0 +I0728 11:24:04.885372 33722 net.cpp:86] Creating Layer Level>=0 +I0728 11:24:04.885380 33722 net.cpp:408] Level>=0 <- data_data_0_split_2 +I0728 11:24:04.885388 33722 net.cpp:382] Level>=0 -> Level>=0 +I0728 11:24:04.885404 33722 net.cpp:124] Setting up Level>=0 +I0728 11:24:04.885411 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.885419 33722 net.cpp:139] Memory required for data: 1612 +I0728 11:24:04.885434 33722 net.cpp:202] Level>=0 does not need backward computation. +I0728 11:24:04.885442 33722 net.cpp:202] Level0Only does not need backward computation. +I0728 11:24:04.885447 33722 net.cpp:202] NoLevel does not need backward computation. +I0728 11:24:04.885453 33722 net.cpp:202] data_data_0_split does not need backward computation. +I0728 11:24:04.885459 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.885464 33722 net.cpp:244] This network produces output Level0Only +I0728 11:24:04.885471 33722 net.cpp:244] This network produces output Level>=0 +I0728 11:24:04.885478 33722 net.cpp:244] This network produces output NoLevel +I0728 11:24:04.885504 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.886047 33722 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only +I0728 11:24:04.886090 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 1 @@ -15249,65 +15315,65 @@ 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: +I0728 11:24:04.886229 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.886245 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.886255 33722 net.cpp:382] data -> data +I0728 11:24:04.886274 33722 net.cpp:124] Setting up data +I0728 11:24:04.886281 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.886291 33722 net.cpp:139] Memory required for data: 400 +I0728 11:24:04.886297 33722 layer_factory.hpp:77] Creating layer data_data_0_split +I0728 11:24:04.886307 33722 net.cpp:86] Creating Layer data_data_0_split +I0728 11:24:04.886315 33722 net.cpp:408] data_data_0_split <- data +I0728 11:24:04.886324 33722 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0728 11:24:04.886337 33722 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0728 11:24:04.886349 33722 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0728 11:24:04.886360 33722 net.cpp:382] data_data_0_split -> data_data_0_split_3 +I0728 11:24:04.886373 33722 net.cpp:124] Setting up data_data_0_split +I0728 11:24:04.886396 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.886404 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.886411 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.886420 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.886427 33722 net.cpp:139] Memory required for data: 2000 +I0728 11:24:04.886432 33722 layer_factory.hpp:77] Creating layer NoLevel +I0728 11:24:04.886443 33722 net.cpp:86] Creating Layer NoLevel +I0728 11:24:04.886449 33722 net.cpp:408] NoLevel <- data_data_0_split_0 +I0728 11:24:04.886457 33722 net.cpp:382] NoLevel -> NoLevel +I0728 11:24:04.886476 33722 net.cpp:124] Setting up NoLevel +I0728 11:24:04.886483 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.886507 33722 net.cpp:139] Memory required for data: 2004 +I0728 11:24:04.886521 33722 layer_factory.hpp:77] Creating layer Level1Only +I0728 11:24:04.886533 33722 net.cpp:86] Creating Layer Level1Only +I0728 11:24:04.886538 33722 net.cpp:408] Level1Only <- data_data_0_split_1 +I0728 11:24:04.886548 33722 net.cpp:382] Level1Only -> Level1Only +I0728 11:24:04.886565 33722 net.cpp:124] Setting up Level1Only +I0728 11:24:04.886571 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.886580 33722 net.cpp:139] Memory required for data: 2008 +I0728 11:24:04.886592 33722 layer_factory.hpp:77] Creating layer Level>=0 +I0728 11:24:04.886602 33722 net.cpp:86] Creating Layer Level>=0 +I0728 11:24:04.886610 33722 net.cpp:408] Level>=0 <- data_data_0_split_2 +I0728 11:24:04.886619 33722 net.cpp:382] Level>=0 -> Level>=0 +I0728 11:24:04.886636 33722 net.cpp:124] Setting up Level>=0 +I0728 11:24:04.886642 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.886651 33722 net.cpp:139] Memory required for data: 2012 +I0728 11:24:04.886662 33722 layer_factory.hpp:77] Creating layer Level>=1 +I0728 11:24:04.886672 33722 net.cpp:86] Creating Layer Level>=1 +I0728 11:24:04.886678 33722 net.cpp:408] Level>=1 <- data_data_0_split_3 +I0728 11:24:04.886688 33722 net.cpp:382] Level>=1 -> Level>=1 +I0728 11:24:04.886704 33722 net.cpp:124] Setting up Level>=1 +I0728 11:24:04.886713 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.886719 33722 net.cpp:139] Memory required for data: 2016 +I0728 11:24:04.886729 33722 net.cpp:202] Level>=1 does not need backward computation. +I0728 11:24:04.886736 33722 net.cpp:202] Level>=0 does not need backward computation. +I0728 11:24:04.886744 33722 net.cpp:202] Level1Only does not need backward computation. +I0728 11:24:04.886750 33722 net.cpp:202] NoLevel does not need backward computation. +I0728 11:24:04.886757 33722 net.cpp:202] data_data_0_split does not need backward computation. +I0728 11:24:04.886765 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.886770 33722 net.cpp:244] This network produces output Level1Only +I0728 11:24:04.886776 33722 net.cpp:244] This network produces output Level>=0 +I0728 11:24:04.886783 33722 net.cpp:244] This network produces output Level>=1 +I0728 11:24:04.886790 33722 net.cpp:244] This network produces output NoLevel +I0728 11:24:04.886802 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.887405 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15386,45 +15452,45 @@ 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: +I0728 11:24:04.887533 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.887547 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.887555 33722 net.cpp:382] data -> data +I0728 11:24:04.887569 33722 net.cpp:382] data -> label +I0728 11:24:04.887584 33722 net.cpp:124] Setting up data +I0728 11:24:04.887591 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.887599 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.887607 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.887614 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.887630 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.887637 33722 net.cpp:408] conv <- data +I0728 11:24:04.887650 33722 net.cpp:382] conv -> conv +I0728 11:24:04.887730 33722 net.cpp:124] Setting up conv +I0728 11:24:04.887745 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.887754 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.887768 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.887779 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.887785 33722 net.cpp:408] ip <- conv +I0728 11:24:04.887794 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.887979 33722 net.cpp:124] Setting up ip +I0728 11:24:04.887992 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.888000 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.888012 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.888021 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.888028 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.888036 33722 net.cpp:408] loss <- label +I0728 11:24:04.888043 33722 net.cpp:382] loss -> loss +I0728 11:24:04.888056 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.888074 33722 net.cpp:124] Setting up loss +I0728 11:24:04.888082 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.888088 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.888100 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.888108 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.888114 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.888120 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.888128 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.888134 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.888144 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.890201 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15503,45 +15569,45 @@ 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: +I0728 11:24:04.890302 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.890318 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.890327 33722 net.cpp:382] data -> data +I0728 11:24:04.890341 33722 net.cpp:382] data -> label +I0728 11:24:04.890357 33722 net.cpp:124] Setting up data +I0728 11:24:04.890365 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.890374 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.890383 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.890388 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.890403 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.890409 33722 net.cpp:408] conv <- data +I0728 11:24:04.890420 33722 net.cpp:382] conv -> conv +I0728 11:24:04.890455 33722 net.cpp:124] Setting up conv +I0728 11:24:04.890463 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.890486 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.890499 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.890511 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.890517 33722 net.cpp:408] ip <- conv +I0728 11:24:04.890543 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.890722 33722 net.cpp:124] Setting up ip +I0728 11:24:04.890738 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.890745 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.890758 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.890766 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.890774 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.890780 33722 net.cpp:408] loss <- label +I0728 11:24:04.890787 33722 net.cpp:382] loss -> loss +I0728 11:24:04.890799 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.890817 33722 net.cpp:124] Setting up loss +I0728 11:24:04.890825 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.890831 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.890844 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.890851 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.890857 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.890863 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.890870 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.890877 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.890902 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.893465 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15620,45 +15686,45 @@ 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: +I0728 11:24:04.893563 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.893579 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.893587 33722 net.cpp:382] data -> data +I0728 11:24:04.893601 33722 net.cpp:382] data -> label +I0728 11:24:04.893617 33722 net.cpp:124] Setting up data +I0728 11:24:04.893625 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.893632 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.893640 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.893646 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.893661 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.893667 33722 net.cpp:408] conv <- data +I0728 11:24:04.893677 33722 net.cpp:382] conv -> conv +I0728 11:24:04.893709 33722 net.cpp:124] Setting up conv +I0728 11:24:04.893719 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.893728 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.893740 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.893764 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.893770 33722 net.cpp:408] ip <- conv +I0728 11:24:04.893779 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.893959 33722 net.cpp:124] Setting up ip +I0728 11:24:04.893977 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.893986 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.893998 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.894008 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.894016 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.894022 33722 net.cpp:408] loss <- label +I0728 11:24:04.894030 33722 net.cpp:382] loss -> loss +I0728 11:24:04.894042 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.894060 33722 net.cpp:124] Setting up loss +I0728 11:24:04.894068 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.894075 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.894086 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.894093 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.894098 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.894104 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.894111 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.894117 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.894126 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.895166 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15737,45 +15803,45 @@ 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: +I0728 11:24:04.895280 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.895295 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.895304 33722 net.cpp:382] data -> data +I0728 11:24:04.895318 33722 net.cpp:382] data -> label +I0728 11:24:04.895332 33722 net.cpp:124] Setting up data +I0728 11:24:04.895339 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.895347 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.895354 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.895360 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.895375 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.895381 33722 net.cpp:408] conv <- data +I0728 11:24:04.895390 33722 net.cpp:382] conv -> conv +I0728 11:24:04.895438 33722 net.cpp:124] Setting up conv +I0728 11:24:04.895447 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.895455 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.895468 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.895480 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.895488 33722 net.cpp:408] ip <- conv +I0728 11:24:04.895498 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.895664 33722 net.cpp:124] Setting up ip +I0728 11:24:04.895680 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.895689 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.895702 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.895712 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.895720 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.895725 33722 net.cpp:408] loss <- label +I0728 11:24:04.895733 33722 net.cpp:382] loss -> loss +I0728 11:24:04.895745 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.895763 33722 net.cpp:124] Setting up loss +I0728 11:24:04.895771 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.895778 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.895789 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.895797 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.895803 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.895808 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.895814 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.895820 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.895830 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.897265 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15854,45 +15920,45 @@ 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: +I0728 11:24:04.897377 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.897392 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.897400 33722 net.cpp:382] data -> data +I0728 11:24:04.897413 33722 net.cpp:382] data -> label +I0728 11:24:04.897428 33722 net.cpp:124] Setting up data +I0728 11:24:04.897434 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.897441 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.897449 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.897454 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.897467 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.897475 33722 net.cpp:408] conv <- data +I0728 11:24:04.897483 33722 net.cpp:382] conv -> conv +I0728 11:24:04.897536 33722 net.cpp:124] Setting up conv +I0728 11:24:04.897545 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.897553 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.897567 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.897576 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.897598 33722 net.cpp:408] ip <- conv +I0728 11:24:04.897608 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.897792 33722 net.cpp:124] Setting up ip +I0728 11:24:04.897809 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.897816 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.897828 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.897838 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.897845 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.897851 33722 net.cpp:408] loss <- label +I0728 11:24:04.897859 33722 net.cpp:382] loss -> loss +I0728 11:24:04.897871 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.897888 33722 net.cpp:124] Setting up loss +I0728 11:24:04.897895 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.897902 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.897914 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.897941 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.897948 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.897953 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.897959 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.897965 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.897974 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.898698 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15971,45 +16037,45 @@ 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: +I0728 11:24:04.898794 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.898809 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.898818 33722 net.cpp:382] data -> data +I0728 11:24:04.898831 33722 net.cpp:382] data -> label +I0728 11:24:04.898847 33722 net.cpp:124] Setting up data +I0728 11:24:04.898854 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.898864 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.898871 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.898877 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.898891 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.898898 33722 net.cpp:408] conv <- data +I0728 11:24:04.898908 33722 net.cpp:382] conv -> conv +I0728 11:24:04.898944 33722 net.cpp:124] Setting up conv +I0728 11:24:04.898952 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.898977 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.898988 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.899000 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.899008 33722 net.cpp:408] ip <- conv +I0728 11:24:04.899016 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.899163 33722 net.cpp:124] Setting up ip +I0728 11:24:04.899178 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.899185 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.899197 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.899207 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.899214 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.899220 33722 net.cpp:408] loss <- label +I0728 11:24:04.899227 33722 net.cpp:382] loss -> loss +I0728 11:24:04.899240 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.899257 33722 net.cpp:124] Setting up loss +I0728 11:24:04.899263 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.899271 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.899282 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.899291 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.899297 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.899303 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.899310 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.899317 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.899325 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.900135 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16088,45 +16154,45 @@ 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: +I0728 11:24:04.900228 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.900243 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.900250 33722 net.cpp:382] data -> data +I0728 11:24:04.900264 33722 net.cpp:382] data -> label +I0728 11:24:04.900279 33722 net.cpp:124] Setting up data +I0728 11:24:04.900287 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.900296 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.900302 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.900308 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.900321 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.900328 33722 net.cpp:408] conv <- data +I0728 11:24:04.900339 33722 net.cpp:382] conv -> conv +I0728 11:24:04.900408 33722 net.cpp:124] Setting up conv +I0728 11:24:04.900418 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.900426 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.900439 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.900451 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.900457 33722 net.cpp:408] ip <- conv +I0728 11:24:04.900467 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.900619 33722 net.cpp:124] Setting up ip +I0728 11:24:04.900633 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.900641 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.900655 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.900664 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.900671 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.900678 33722 net.cpp:408] loss <- label +I0728 11:24:04.900686 33722 net.cpp:382] loss -> loss +I0728 11:24:04.900714 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.900732 33722 net.cpp:124] Setting up loss +I0728 11:24:04.900763 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.900770 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.900782 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.900789 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.900795 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.900801 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.900808 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.900815 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.900823 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.901712 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16205,48 +16271,48 @@ 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: +I0728 11:24:04.901839 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.901855 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.901865 33722 net.cpp:382] data -> data +I0728 11:24:04.901877 33722 net.cpp:382] data -> label +I0728 11:24:04.901893 33722 net.cpp:124] Setting up data +I0728 11:24:04.901901 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.901908 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.901916 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.901921 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.901934 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.901942 33722 net.cpp:408] conv <- data +I0728 11:24:04.901952 33722 net.cpp:382] conv -> conv +I0728 11:24:04.901984 33722 net.cpp:124] Setting up conv +I0728 11:24:04.901993 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.902000 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.902014 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.902024 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.902030 33722 net.cpp:408] ip <- conv +I0728 11:24:04.902040 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.902215 33722 net.cpp:124] Setting up ip +I0728 11:24:04.902238 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.902246 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.902257 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.902267 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.902273 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.902280 33722 net.cpp:408] loss <- label +I0728 11:24:04.902287 33722 net.cpp:382] loss -> loss +I0728 11:24:04.902298 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.902315 33722 net.cpp:124] Setting up loss +I0728 11:24:04.902323 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.902329 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.902340 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.902345 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.902352 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.902357 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.902364 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.902369 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.902379 33722 net.cpp:257] Network initialization done. +W0728 11:24:04.903134 33722 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface +W0728 11:24:04.903156 33722 _caffe.cpp:140] Use this instead (with the named "weights" parameter): +W0728 11:24:04.903162 33722 _caffe.cpp:142] Net('/tmp/tmpu510ict7', 0, weights='/tmp/tmpsxbq_zhv') +I0728 11:24:04.903355 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16325,45 +16391,45 @@ 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: +I0728 11:24:04.903478 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.903493 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.903502 33722 net.cpp:382] data -> data +I0728 11:24:04.903549 33722 net.cpp:382] data -> label +I0728 11:24:04.903566 33722 net.cpp:124] Setting up data +I0728 11:24:04.903573 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.903581 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.903589 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.903594 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.903609 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.903614 33722 net.cpp:408] conv <- data +I0728 11:24:04.903625 33722 net.cpp:382] conv -> conv +I0728 11:24:04.903658 33722 net.cpp:124] Setting up conv +I0728 11:24:04.903666 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.903674 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.903687 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.903698 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.903705 33722 net.cpp:408] ip <- conv +I0728 11:24:04.903715 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.903885 33722 net.cpp:124] Setting up ip +I0728 11:24:04.903901 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.903910 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.903923 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.903939 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.903945 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.903975 33722 net.cpp:408] loss <- label +I0728 11:24:04.903982 33722 net.cpp:382] loss -> loss +I0728 11:24:04.903995 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.904017 33722 net.cpp:124] Setting up loss +I0728 11:24:04.904026 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.904032 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.904042 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.904048 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.904055 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.904062 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.904067 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.904074 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.904084 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.905175 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16442,45 +16508,45 @@ 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: +I0728 11:24:04.905287 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.905303 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.905311 33722 net.cpp:382] data -> data +I0728 11:24:04.905323 33722 net.cpp:382] data -> label +I0728 11:24:04.905339 33722 net.cpp:124] Setting up data +I0728 11:24:04.905344 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.905354 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.905359 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.905365 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.905378 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.905385 33722 net.cpp:408] conv <- data +I0728 11:24:04.905395 33722 net.cpp:382] conv -> conv +I0728 11:24:04.905424 33722 net.cpp:124] Setting up conv +I0728 11:24:04.905432 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.905440 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.905453 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.905464 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.905472 33722 net.cpp:408] ip <- conv +I0728 11:24:04.905479 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.905656 33722 net.cpp:124] Setting up ip +I0728 11:24:04.905673 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.905681 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.905694 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.905704 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.905709 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.905716 33722 net.cpp:408] loss <- label +I0728 11:24:04.905723 33722 net.cpp:382] loss -> loss +I0728 11:24:04.905735 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.905753 33722 net.cpp:124] Setting up loss +I0728 11:24:04.905761 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.905768 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.905779 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.905786 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.905791 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.905797 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.905804 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.905810 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.905820 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.906805 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16559,45 +16625,45 @@ 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: +I0728 11:24:04.906903 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.906919 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.906929 33722 net.cpp:382] data -> data +I0728 11:24:04.906941 33722 net.cpp:382] data -> label +I0728 11:24:04.906957 33722 net.cpp:124] Setting up data +I0728 11:24:04.906965 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.906972 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.906980 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.906985 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.907001 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.907007 33722 net.cpp:408] conv <- data +I0728 11:24:04.907017 33722 net.cpp:382] conv -> conv +I0728 11:24:04.907049 33722 net.cpp:124] Setting up conv +I0728 11:24:04.907058 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.907066 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.907079 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.907090 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.907096 33722 net.cpp:408] ip <- conv +I0728 11:24:04.907106 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.907284 33722 net.cpp:124] Setting up ip +I0728 11:24:04.907300 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.907308 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.907336 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.907346 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.907353 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.907359 33722 net.cpp:408] loss <- label +I0728 11:24:04.907378 33722 net.cpp:382] loss -> loss +I0728 11:24:04.907389 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.907406 33722 net.cpp:124] Setting up loss +I0728 11:24:04.907413 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.907421 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.907433 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.907438 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.907444 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.907449 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.907456 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.907462 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.907471 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.908942 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16676,46 +16742,46 @@ 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: +I0728 11:24:04.909041 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.909057 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.909067 33722 net.cpp:382] data -> data +I0728 11:24:04.909081 33722 net.cpp:382] data -> label +I0728 11:24:04.909096 33722 net.cpp:124] Setting up data +I0728 11:24:04.909103 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.909112 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.909118 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.909124 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.909138 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.909145 33722 net.cpp:408] conv <- data +I0728 11:24:04.909154 33722 net.cpp:382] conv -> conv +I0728 11:24:04.909190 33722 net.cpp:124] Setting up conv +I0728 11:24:04.909199 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.909207 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.909221 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.909231 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.909237 33722 net.cpp:408] ip <- conv +I0728 11:24:04.909247 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.909418 33722 net.cpp:124] Setting up ip +I0728 11:24:04.909436 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.909444 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.909456 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.909466 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.909473 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.909479 33722 net.cpp:408] loss <- label +I0728 11:24:04.909487 33722 net.cpp:382] loss -> loss +I0728 11:24:04.909508 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.909526 33722 net.cpp:124] Setting up loss +I0728 11:24:04.909533 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.909541 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.909552 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.909559 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.909565 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.909571 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.909577 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.909583 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.909592 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.910040 33722 hdf5.cpp:33] Datatype class: H5T_FLOAT +.I0728 11:24:04.911314 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16794,47 +16860,47 @@ 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: +I0728 11:24:04.911414 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.911429 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.911440 33722 net.cpp:382] data -> data +I0728 11:24:04.911453 33722 net.cpp:382] data -> label +I0728 11:24:04.911484 33722 net.cpp:124] Setting up data +I0728 11:24:04.911492 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.911515 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.911522 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.911528 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.911557 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.911563 33722 net.cpp:408] conv <- data +I0728 11:24:04.911572 33722 net.cpp:382] conv -> conv +I0728 11:24:04.911605 33722 net.cpp:124] Setting up conv +I0728 11:24:04.911614 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.911621 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.911633 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.911644 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.911651 33722 net.cpp:408] ip <- conv +I0728 11:24:04.911661 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.911854 33722 net.cpp:124] Setting up ip +I0728 11:24:04.911870 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.911880 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.911892 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.911902 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.911909 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.911918 33722 net.cpp:408] loss <- label +I0728 11:24:04.911926 33722 net.cpp:382] loss -> loss +I0728 11:24:04.911937 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.911957 33722 net.cpp:124] Setting up loss +I0728 11:24:04.911963 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.911970 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.911983 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.911988 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.911994 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.912000 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.912007 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.912014 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.912022 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.913069 33722 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B +I0728 11:24:04.913092 33722 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB +I0728 11:24:04.913100 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -16880,43 +16946,43 @@ 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: +I0728 11:24:04.913251 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.913265 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.913275 33722 net.cpp:382] data -> data +I0728 11:24:04.913291 33722 net.cpp:124] Setting up data +I0728 11:24:04.913300 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.913307 33722 net.cpp:139] Memory required for data: 400 +I0728 11:24:04.913313 33722 layer_factory.hpp:77] Creating layer data_data_0_split +I0728 11:24:04.913324 33722 net.cpp:86] Creating Layer data_data_0_split +I0728 11:24:04.913331 33722 net.cpp:408] data_data_0_split <- data +I0728 11:24:04.913340 33722 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0728 11:24:04.913350 33722 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0728 11:24:04.913363 33722 net.cpp:124] Setting up data_data_0_split +I0728 11:24:04.913369 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.913378 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.913385 33722 net.cpp:139] Memory required for data: 1200 +I0728 11:24:04.913391 33722 layer_factory.hpp:77] Creating layer A +I0728 11:24:04.913403 33722 net.cpp:86] Creating Layer A +I0728 11:24:04.913408 33722 net.cpp:408] A <- data_data_0_split_0 +I0728 11:24:04.913419 33722 net.cpp:382] A -> A +I0728 11:24:04.913437 33722 net.cpp:124] Setting up A +I0728 11:24:04.913444 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.913452 33722 net.cpp:139] Memory required for data: 1204 +I0728 11:24:04.913475 33722 layer_factory.hpp:77] Creating layer AorB +I0728 11:24:04.913486 33722 net.cpp:86] Creating Layer AorB +I0728 11:24:04.913491 33722 net.cpp:408] AorB <- data_data_0_split_1 +I0728 11:24:04.913501 33722 net.cpp:382] AorB -> AorB +I0728 11:24:04.913519 33722 net.cpp:124] Setting up AorB +I0728 11:24:04.913527 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.913533 33722 net.cpp:139] Memory required for data: 1208 +I0728 11:24:04.913544 33722 net.cpp:202] AorB does not need backward computation. +I0728 11:24:04.913551 33722 net.cpp:202] A does not need backward computation. +I0728 11:24:04.913558 33722 net.cpp:202] data_data_0_split does not need backward computation. +I0728 11:24:04.913565 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.913570 33722 net.cpp:244] This network produces output A +I0728 11:24:04.913576 33722 net.cpp:244] This network produces output AorB +I0728 11:24:04.913601 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.914171 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -16988,68 +17054,68 @@ 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: +I0728 11:24:04.914292 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.914305 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.914314 33722 net.cpp:382] data -> data +I0728 11:24:04.914347 33722 net.cpp:124] Setting up data +I0728 11:24:04.914355 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.914362 33722 net.cpp:139] Memory required for data: 400 +I0728 11:24:04.914369 33722 layer_factory.hpp:77] Creating layer data_data_0_split +I0728 11:24:04.914381 33722 net.cpp:86] Creating Layer data_data_0_split +I0728 11:24:04.914386 33722 net.cpp:408] data_data_0_split <- data +I0728 11:24:04.914394 33722 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0728 11:24:04.914407 33722 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0728 11:24:04.914417 33722 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0728 11:24:04.914427 33722 net.cpp:382] data_data_0_split -> data_data_0_split_3 +I0728 11:24:04.914443 33722 net.cpp:124] Setting up data_data_0_split +I0728 11:24:04.914448 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.914455 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.914463 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.914469 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.914476 33722 net.cpp:139] Memory required for data: 2000 +I0728 11:24:04.914498 33722 layer_factory.hpp:77] Creating layer A +I0728 11:24:04.914510 33722 net.cpp:86] Creating Layer A +I0728 11:24:04.914516 33722 net.cpp:408] A <- data_data_0_split_0 +I0728 11:24:04.914537 33722 net.cpp:382] A -> A +I0728 11:24:04.914556 33722 net.cpp:124] Setting up A +I0728 11:24:04.914562 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.914569 33722 net.cpp:139] Memory required for data: 2004 +I0728 11:24:04.914583 33722 layer_factory.hpp:77] Creating layer B +I0728 11:24:04.914592 33722 net.cpp:86] Creating Layer B +I0728 11:24:04.914598 33722 net.cpp:408] B <- data_data_0_split_1 +I0728 11:24:04.914608 33722 net.cpp:382] B -> B +I0728 11:24:04.914639 33722 net.cpp:124] Setting up B +I0728 11:24:04.914646 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.914654 33722 net.cpp:139] Memory required for data: 2008 +I0728 11:24:04.914664 33722 layer_factory.hpp:77] Creating layer AorB +I0728 11:24:04.914674 33722 net.cpp:86] Creating Layer AorB +I0728 11:24:04.914680 33722 net.cpp:408] AorB <- data_data_0_split_2 +I0728 11:24:04.914690 33722 net.cpp:382] AorB -> AorB +I0728 11:24:04.914707 33722 net.cpp:124] Setting up AorB +I0728 11:24:04.914712 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.914718 33722 net.cpp:139] Memory required for data: 2012 +I0728 11:24:04.914728 33722 layer_factory.hpp:77] Creating layer AandB +I0728 11:24:04.914737 33722 net.cpp:86] Creating Layer AandB +I0728 11:24:04.914743 33722 net.cpp:408] AandB <- data_data_0_split_3 +I0728 11:24:04.914753 33722 net.cpp:382] AandB -> AandB +I0728 11:24:04.914768 33722 net.cpp:124] Setting up AandB +I0728 11:24:04.914774 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.914781 33722 net.cpp:139] Memory required for data: 2016 +I0728 11:24:04.914789 33722 net.cpp:202] AandB does not need backward computation. +I0728 11:24:04.914796 33722 net.cpp:202] AorB does not need backward computation. +I0728 11:24:04.914803 33722 net.cpp:202] B does not need backward computation. +I0728 11:24:04.914808 33722 net.cpp:202] A does not need backward computation. +I0728 11:24:04.914815 33722 net.cpp:202] data_data_0_split does not need backward computation. +I0728 11:24:04.914820 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.914825 33722 net.cpp:244] This network produces output A +I0728 11:24:04.914830 33722 net.cpp:244] This network produces output AandB +I0728 11:24:04.914836 33722 net.cpp:244] This network produces output AorB +I0728 11:24:04.914842 33722 net.cpp:244] This network produces output B +I0728 11:24:04.914852 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.915448 33722 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A +I0728 11:24:04.915470 33722 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB +I0728 11:24:04.915479 33722 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB +I0728 11:24:04.915485 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17095,43 +17161,43 @@ 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: +I0728 11:24:04.915571 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.915585 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.915591 33722 net.cpp:382] data -> data +I0728 11:24:04.915608 33722 net.cpp:124] Setting up data +I0728 11:24:04.915616 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.915623 33722 net.cpp:139] Memory required for data: 400 +I0728 11:24:04.915629 33722 layer_factory.hpp:77] Creating layer data_data_0_split +I0728 11:24:04.915639 33722 net.cpp:86] Creating Layer data_data_0_split +I0728 11:24:04.915647 33722 net.cpp:408] data_data_0_split <- data +I0728 11:24:04.915654 33722 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0728 11:24:04.915666 33722 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0728 11:24:04.915695 33722 net.cpp:124] Setting up data_data_0_split +I0728 11:24:04.915701 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.915709 33722 net.cpp:131] Top shape: 1 1 10 10 (100) +I0728 11:24:04.915716 33722 net.cpp:139] Memory required for data: 1200 +I0728 11:24:04.915722 33722 layer_factory.hpp:77] Creating layer B +I0728 11:24:04.915748 33722 net.cpp:86] Creating Layer B +I0728 11:24:04.915755 33722 net.cpp:408] B <- data_data_0_split_0 +I0728 11:24:04.915764 33722 net.cpp:382] B -> B +I0728 11:24:04.915781 33722 net.cpp:124] Setting up B +I0728 11:24:04.915791 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.915798 33722 net.cpp:139] Memory required for data: 1204 +I0728 11:24:04.915810 33722 layer_factory.hpp:77] Creating layer AorB +I0728 11:24:04.915822 33722 net.cpp:86] Creating Layer AorB +I0728 11:24:04.915828 33722 net.cpp:408] AorB <- data_data_0_split_1 +I0728 11:24:04.915838 33722 net.cpp:382] AorB -> AorB +I0728 11:24:04.915853 33722 net.cpp:124] Setting up AorB +I0728 11:24:04.915860 33722 net.cpp:131] Top shape: 1 1 (1) +I0728 11:24:04.915868 33722 net.cpp:139] Memory required for data: 1208 +I0728 11:24:04.915879 33722 net.cpp:202] AorB does not need backward computation. +I0728 11:24:04.915885 33722 net.cpp:202] B does not need backward computation. +I0728 11:24:04.915892 33722 net.cpp:202] data_data_0_split does not need backward computation. +I0728 11:24:04.915899 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.915903 33722 net.cpp:244] This network produces output AorB +I0728 11:24:04.915908 33722 net.cpp:244] This network produces output B +I0728 11:24:04.915918 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.917152 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17244,85 +17310,85 @@ 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: +I0728 11:24:04.917280 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.917312 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.917320 33722 net.cpp:382] data -> data +I0728 11:24:04.917356 33722 net.cpp:382] data -> label +I0728 11:24:04.917430 33722 net.cpp:124] Setting up data +I0728 11:24:04.917440 33722 net.cpp:131] Top shape: 50 1 28 28 (39200) +I0728 11:24:04.917451 33722 net.cpp:131] Top shape: 50 1 1 1 (50) +I0728 11:24:04.917457 33722 net.cpp:139] Memory required for data: 157000 +I0728 11:24:04.917480 33722 layer_factory.hpp:77] Creating layer conv1 +I0728 11:24:04.917492 33722 net.cpp:86] Creating Layer conv1 +I0728 11:24:04.917500 33722 net.cpp:408] conv1 <- data +I0728 11:24:04.917508 33722 net.cpp:382] conv1 -> conv1 +I0728 11:24:04.917563 33722 net.cpp:124] Setting up conv1 +I0728 11:24:04.917572 33722 net.cpp:131] Top shape: 50 20 24 24 (576000) +I0728 11:24:04.917580 33722 net.cpp:139] Memory required for data: 2461000 +I0728 11:24:04.917594 33722 layer_factory.hpp:77] Creating layer pool1 +I0728 11:24:04.917605 33722 net.cpp:86] Creating Layer pool1 +I0728 11:24:04.917613 33722 net.cpp:408] pool1 <- conv1 +I0728 11:24:04.917620 33722 net.cpp:382] pool1 -> pool1 +I0728 11:24:04.917660 33722 net.cpp:124] Setting up pool1 +I0728 11:24:04.917667 33722 net.cpp:131] Top shape: 50 20 12 12 (144000) +I0728 11:24:04.917676 33722 net.cpp:139] Memory required for data: 3037000 +I0728 11:24:04.917682 33722 layer_factory.hpp:77] Creating layer conv2 +I0728 11:24:04.917691 33722 net.cpp:86] Creating Layer conv2 +I0728 11:24:04.917697 33722 net.cpp:408] conv2 <- pool1 +I0728 11:24:04.917706 33722 net.cpp:382] conv2 -> conv2 +I0728 11:24:04.918257 33722 net.cpp:124] Setting up conv2 +I0728 11:24:04.918277 33722 net.cpp:131] Top shape: 50 50 8 8 (160000) +I0728 11:24:04.918285 33722 net.cpp:139] Memory required for data: 3677000 +I0728 11:24:04.918298 33722 layer_factory.hpp:77] Creating layer pool2 +I0728 11:24:04.918308 33722 net.cpp:86] Creating Layer pool2 +I0728 11:24:04.918315 33722 net.cpp:408] pool2 <- conv2 +I0728 11:24:04.918323 33722 net.cpp:382] pool2 -> pool2 +I0728 11:24:04.918334 33722 net.cpp:124] Setting up pool2 +I0728 11:24:04.918340 33722 net.cpp:131] Top shape: 50 50 4 4 (40000) +I0728 11:24:04.918349 33722 net.cpp:139] Memory required for data: 3837000 +I0728 11:24:04.918354 33722 layer_factory.hpp:77] Creating layer ip1 +I0728 11:24:04.918363 33722 net.cpp:86] Creating Layer ip1 +I0728 11:24:04.918370 33722 net.cpp:408] ip1 <- pool2 +I0728 11:24:04.918380 33722 net.cpp:382] ip1 -> ip1 +I0728 11:24:04.927147 33722 net.cpp:124] Setting up ip1 +I0728 11:24:04.927167 33722 net.cpp:131] Top shape: 50 500 (25000) +I0728 11:24:04.927175 33722 net.cpp:139] Memory required for data: 3937000 +I0728 11:24:04.927203 33722 layer_factory.hpp:77] Creating layer relu1 +I0728 11:24:04.927213 33722 net.cpp:86] Creating Layer relu1 +I0728 11:24:04.927219 33722 net.cpp:408] relu1 <- ip1 +I0728 11:24:04.927227 33722 net.cpp:369] relu1 -> ip1 (in-place) +I0728 11:24:04.927235 33722 net.cpp:124] Setting up relu1 +I0728 11:24:04.927240 33722 net.cpp:131] Top shape: 50 500 (25000) +I0728 11:24:04.927248 33722 net.cpp:139] Memory required for data: 4037000 +I0728 11:24:04.927253 33722 layer_factory.hpp:77] Creating layer ip2 +I0728 11:24:04.927260 33722 net.cpp:86] Creating Layer ip2 +I0728 11:24:04.927266 33722 net.cpp:408] ip2 <- ip1 +I0728 11:24:04.927275 33722 net.cpp:382] ip2 -> ip2 +I0728 11:24:04.927436 33722 net.cpp:124] Setting up ip2 +I0728 11:24:04.927450 33722 net.cpp:131] Top shape: 50 10 (500) +I0728 11:24:04.927459 33722 net.cpp:139] Memory required for data: 4039000 +I0728 11:24:04.927467 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.927479 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.927484 33722 net.cpp:408] loss <- ip2 +I0728 11:24:04.927491 33722 net.cpp:408] loss <- label +I0728 11:24:04.927498 33722 net.cpp:382] loss -> loss +I0728 11:24:04.927513 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.927549 33722 net.cpp:124] Setting up loss +I0728 11:24:04.927556 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.927563 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.927574 33722 net.cpp:139] Memory required for data: 4039004 +I0728 11:24:04.927579 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.927587 33722 net.cpp:200] ip2 needs backward computation. +I0728 11:24:04.927592 33722 net.cpp:200] relu1 needs backward computation. +I0728 11:24:04.927596 33722 net.cpp:200] ip1 needs backward computation. +I0728 11:24:04.927603 33722 net.cpp:200] pool2 needs backward computation. +I0728 11:24:04.927609 33722 net.cpp:200] conv2 needs backward computation. +I0728 11:24:04.927615 33722 net.cpp:200] pool1 needs backward computation. +I0728 11:24:04.927621 33722 net.cpp:200] conv1 needs backward computation. +I0728 11:24:04.927628 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.927634 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.927645 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.928524 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17435,87 +17501,87 @@ 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. +I0728 11:24:04.928647 33722 layer_factory.hpp:77] Creating layer DummyData1 +I0728 11:24:04.928661 33722 net.cpp:86] Creating Layer DummyData1 +I0728 11:24:04.928670 33722 net.cpp:382] DummyData1 -> DummyData1 +I0728 11:24:04.928684 33722 net.cpp:382] DummyData1 -> DummyData2 +I0728 11:24:04.928862 33722 net.cpp:124] Setting up DummyData1 +I0728 11:24:04.928881 33722 net.cpp:131] Top shape: 50 1 28 28 (39200) +I0728 11:24:04.928891 33722 net.cpp:131] Top shape: 50 1 1 1 (50) +I0728 11:24:04.928898 33722 net.cpp:139] Memory required for data: 157000 +I0728 11:24:04.928905 33722 layer_factory.hpp:77] Creating layer Convolution1 +I0728 11:24:04.928916 33722 net.cpp:86] Creating Layer Convolution1 +I0728 11:24:04.928922 33722 net.cpp:408] Convolution1 <- DummyData1 +I0728 11:24:04.928931 33722 net.cpp:382] Convolution1 -> Convolution1 +I0728 11:24:04.928992 33722 net.cpp:124] Setting up Convolution1 +I0728 11:24:04.929008 33722 net.cpp:131] Top shape: 50 20 24 24 (576000) +I0728 11:24:04.929016 33722 net.cpp:139] Memory required for data: 2461000 +I0728 11:24:04.929028 33722 layer_factory.hpp:77] Creating layer Pooling1 +I0728 11:24:04.929039 33722 net.cpp:86] Creating Layer Pooling1 +I0728 11:24:04.929045 33722 net.cpp:408] Pooling1 <- Convolution1 +I0728 11:24:04.929054 33722 net.cpp:382] Pooling1 -> Pooling1 +I0728 11:24:04.929067 33722 net.cpp:124] Setting up Pooling1 +I0728 11:24:04.929072 33722 net.cpp:131] Top shape: 50 20 12 12 (144000) +I0728 11:24:04.929090 33722 net.cpp:139] Memory required for data: 3037000 +I0728 11:24:04.929096 33722 layer_factory.hpp:77] Creating layer Convolution2 +I0728 11:24:04.929105 33722 net.cpp:86] Creating Layer Convolution2 +I0728 11:24:04.929111 33722 net.cpp:408] Convolution2 <- Pooling1 +I0728 11:24:04.929121 33722 net.cpp:382] Convolution2 -> Convolution2 +I0728 11:24:04.929711 33722 net.cpp:124] Setting up Convolution2 +I0728 11:24:04.929728 33722 net.cpp:131] Top shape: 50 50 8 8 (160000) +I0728 11:24:04.929738 33722 net.cpp:139] Memory required for data: 3677000 +I0728 11:24:04.929749 33722 layer_factory.hpp:77] Creating layer Pooling2 +I0728 11:24:04.929759 33722 net.cpp:86] Creating Layer Pooling2 +I0728 11:24:04.929767 33722 net.cpp:408] Pooling2 <- Convolution2 +I0728 11:24:04.929775 33722 net.cpp:382] Pooling2 -> Pooling2 +I0728 11:24:04.929787 33722 net.cpp:124] Setting up Pooling2 +I0728 11:24:04.929793 33722 net.cpp:131] Top shape: 50 50 4 4 (40000) +I0728 11:24:04.929801 33722 net.cpp:139] Memory required for data: 3837000 +I0728 11:24:04.929822 33722 layer_factory.hpp:77] Creating layer InnerProduct1 +I0728 11:24:04.929831 33722 net.cpp:86] Creating Layer InnerProduct1 +I0728 11:24:04.929838 33722 net.cpp:408] InnerProduct1 <- Pooling2 +I0728 11:24:04.929847 33722 net.cpp:382] InnerProduct1 -> InnerProduct1 +I0728 11:24:04.938681 33722 net.cpp:124] Setting up InnerProduct1 +I0728 11:24:04.938699 33722 net.cpp:131] Top shape: 50 500 (25000) +I0728 11:24:04.938721 33722 net.cpp:139] Memory required for data: 3937000 +I0728 11:24:04.938732 33722 layer_factory.hpp:77] Creating layer ReLU1 +I0728 11:24:04.938746 33722 net.cpp:86] Creating Layer ReLU1 +I0728 11:24:04.938752 33722 net.cpp:408] ReLU1 <- InnerProduct1 +I0728 11:24:04.938776 33722 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) +I0728 11:24:04.938786 33722 net.cpp:124] Setting up ReLU1 +I0728 11:24:04.938791 33722 net.cpp:131] Top shape: 50 500 (25000) +I0728 11:24:04.938797 33722 net.cpp:139] Memory required for data: 4037000 +I0728 11:24:04.938803 33722 layer_factory.hpp:77] Creating layer InnerProduct2 +I0728 11:24:04.938812 33722 net.cpp:86] Creating Layer InnerProduct2 +I0728 11:24:04.938817 33722 net.cpp:408] InnerProduct2 <- InnerProduct1 +I0728 11:24:04.938825 33722 net.cpp:382] InnerProduct2 -> InnerProduct2 +I0728 11:24:04.938984 33722 net.cpp:124] Setting up InnerProduct2 +I0728 11:24:04.939000 33722 net.cpp:131] Top shape: 50 10 (500) +I0728 11:24:04.939008 33722 net.cpp:139] Memory required for data: 4039000 +I0728 11:24:04.939018 33722 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 +I0728 11:24:04.939033 33722 net.cpp:86] Creating Layer SoftmaxWithLoss1 +I0728 11:24:04.939039 33722 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 +I0728 11:24:04.939046 33722 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 +I0728 11:24:04.939055 33722 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 +I0728 11:24:04.939069 33722 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 +I0728 11:24:04.939103 33722 net.cpp:124] Setting up SoftmaxWithLoss1 +I0728 11:24:04.939110 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.939117 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.939128 33722 net.cpp:139] Memory required for data: 4039004 +I0728 11:24:04.939133 33722 net.cpp:200] SoftmaxWithLoss1 needs backward computation. +I0728 11:24:04.939141 33722 net.cpp:200] InnerProduct2 needs backward computation. +I0728 11:24:04.939146 33722 net.cpp:200] ReLU1 needs backward computation. +I0728 11:24:04.939152 33722 net.cpp:200] InnerProduct1 needs backward computation. +I0728 11:24:04.939157 33722 net.cpp:200] Pooling2 needs backward computation. +I0728 11:24:04.939164 33722 net.cpp:200] Convolution2 needs backward computation. +I0728 11:24:04.939169 33722 net.cpp:200] Pooling1 needs backward computation. +I0728 11:24:04.939177 33722 net.cpp:200] Convolution1 needs backward computation. +I0728 11:24:04.939182 33722 net.cpp:202] DummyData1 does not need backward computation. +I0728 11:24:04.939188 33722 net.cpp:244] This network produces output SoftmaxWithLoss1 +I0728 11:24:04.939200 33722 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: +.I0728 11:24:04.940724 33722 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17541,32 +17607,32 @@ 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: +I0728 11:24:04.940775 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.940789 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.940812 33722 net.cpp:382] data -> data +I0728 11:24:04.940825 33722 net.cpp:382] data -> data2 +I0728 11:24:04.940840 33722 net.cpp:124] Setting up data +I0728 11:24:04.940847 33722 net.cpp:131] Top shape: 3 (3) +I0728 11:24:04.940855 33722 net.cpp:131] Top shape: 3 (3) +I0728 11:24:04.940860 33722 net.cpp:139] Memory required for data: 24 +I0728 11:24:04.940865 33722 layer_factory.hpp:77] Creating layer silence_data +I0728 11:24:04.940899 33722 net.cpp:86] Creating Layer silence_data +I0728 11:24:04.940907 33722 net.cpp:408] silence_data <- data +I0728 11:24:04.940914 33722 net.cpp:124] Setting up silence_data +I0728 11:24:04.940918 33722 net.cpp:139] Memory required for data: 24 +I0728 11:24:04.940923 33722 layer_factory.hpp:77] Creating layer silence_data2 +I0728 11:24:04.940932 33722 net.cpp:86] Creating Layer silence_data2 +I0728 11:24:04.940937 33722 net.cpp:408] silence_data2 <- data2 +I0728 11:24:04.940943 33722 net.cpp:124] Setting up silence_data2 +I0728 11:24:04.940948 33722 net.cpp:139] Memory required for data: 24 +I0728 11:24:04.940953 33722 net.cpp:202] silence_data2 does not need backward computation. +I0728 11:24:04.940959 33722 net.cpp:202] silence_data does not need backward computation. +I0728 11:24:04.940965 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.940973 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.941534 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmph9vul4n9 +I0728 11:24:04.941592 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.941599 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.941622 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17615,43 +17681,43 @@ 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: +I0728 11:24:04.941720 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.941733 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.941740 33722 net.cpp:382] input -> data +I0728 11:24:04.941754 33722 net.cpp:124] Setting up input +I0728 11:24:04.941778 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.941785 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.941792 33722 layer_factory.hpp:77] Creating layer one +I0728 11:24:04.941833 33722 net.cpp:86] Creating Layer one +I0728 11:24:04.941843 33722 net.cpp:408] one <- data +I0728 11:24:04.941851 33722 net.cpp:382] one -> one +I0728 11:24:04.941967 33722 net.cpp:124] Setting up one +I0728 11:24:04.941979 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.941987 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.941993 33722 layer_factory.hpp:77] Creating layer two +I0728 11:24:04.942030 33722 net.cpp:86] Creating Layer two +I0728 11:24:04.942039 33722 net.cpp:408] two <- one +I0728 11:24:04.942049 33722 net.cpp:382] two -> two +I0728 11:24:04.942102 33722 net.cpp:124] Setting up two +I0728 11:24:04.942140 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.942148 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.942154 33722 layer_factory.hpp:77] Creating layer three +I0728 11:24:04.942180 33722 net.cpp:86] Creating Layer three +I0728 11:24:04.942188 33722 net.cpp:408] three <- two +I0728 11:24:04.942196 33722 net.cpp:382] three -> three +I0728 11:24:04.942229 33722 net.cpp:124] Setting up three +I0728 11:24:04.942238 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.942245 33722 net.cpp:139] Memory required for data: 11520 +I0728 11:24:04.942250 33722 net.cpp:202] three does not need backward computation. +I0728 11:24:04.942256 33722 net.cpp:202] two does not need backward computation. +I0728 11:24:04.942262 33722 net.cpp:202] one does not need backward computation. +I0728 11:24:04.942268 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.942273 33722 net.cpp:244] This network produces output three +I0728 11:24:04.942299 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.945312 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp01h32hs2 +I0728 11:24:04.945336 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.945343 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.945365 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17700,43 +17766,43 @@ 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: +I0728 11:24:04.945473 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.945485 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.945494 33722 net.cpp:382] input -> data +I0728 11:24:04.945508 33722 net.cpp:124] Setting up input +I0728 11:24:04.945515 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.945523 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.945529 33722 layer_factory.hpp:77] Creating layer one +I0728 11:24:04.945580 33722 net.cpp:86] Creating Layer one +I0728 11:24:04.945588 33722 net.cpp:408] one <- data +I0728 11:24:04.945597 33722 net.cpp:382] one -> one +I0728 11:24:04.945639 33722 net.cpp:124] Setting up one +I0728 11:24:04.945649 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.945657 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.945662 33722 layer_factory.hpp:77] Creating layer two +I0728 11:24:04.945695 33722 net.cpp:86] Creating Layer two +I0728 11:24:04.945704 33722 net.cpp:408] two <- one +I0728 11:24:04.945713 33722 net.cpp:382] two -> two +I0728 11:24:04.945748 33722 net.cpp:124] Setting up two +I0728 11:24:04.945756 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.945780 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.945785 33722 layer_factory.hpp:77] Creating layer three +I0728 11:24:04.945816 33722 net.cpp:86] Creating Layer three +I0728 11:24:04.945840 33722 net.cpp:408] three <- two +I0728 11:24:04.945848 33722 net.cpp:382] three -> three +I0728 11:24:04.945881 33722 net.cpp:124] Setting up three +I0728 11:24:04.945891 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.945899 33722 net.cpp:139] Memory required for data: 11520 +I0728 11:24:04.945904 33722 net.cpp:202] three does not need backward computation. +I0728 11:24:04.945910 33722 net.cpp:202] two does not need backward computation. +I0728 11:24:04.945916 33722 net.cpp:202] one does not need backward computation. +I0728 11:24:04.945922 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.945927 33722 net.cpp:244] This network produces output three +I0728 11:24:04.945937 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.946269 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpn5bhif36 +I0728 11:24:04.946292 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.946314 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.946347 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17765,20 +17831,20 @@ 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: +I0728 11:24:04.946401 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.946414 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.946422 33722 net.cpp:382] input -> data +I0728 11:24:04.946439 33722 net.cpp:124] Setting up input +I0728 11:24:04.946444 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.946451 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.946457 33722 layer_factory.hpp:77] Creating layer layer +I0728 11:24:04.946494 33722 net.cpp:86] Creating Layer layer +I0728 11:24:04.946502 33722 net.cpp:408] layer <- data +I0728 11:24:04.946511 33722 net.cpp:382] layer -> top +.I0728 11:24:04.947086 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpp0mbslqs +I0728 11:24:04.947127 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.947134 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.947173 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17827,43 +17893,43 @@ 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: +I0728 11:24:04.947268 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.947281 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.947289 33722 net.cpp:382] input -> data +I0728 11:24:04.947304 33722 net.cpp:124] Setting up input +I0728 11:24:04.947310 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.947319 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.947324 33722 layer_factory.hpp:77] Creating layer one +I0728 11:24:04.947361 33722 net.cpp:86] Creating Layer one +I0728 11:24:04.947369 33722 net.cpp:408] one <- data +I0728 11:24:04.947396 33722 net.cpp:382] one -> one +I0728 11:24:04.947440 33722 net.cpp:124] Setting up one +I0728 11:24:04.947449 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.947458 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.947463 33722 layer_factory.hpp:77] Creating layer two +I0728 11:24:04.947494 33722 net.cpp:86] Creating Layer two +I0728 11:24:04.947501 33722 net.cpp:408] two <- one +I0728 11:24:04.947510 33722 net.cpp:382] two -> two +I0728 11:24:04.947546 33722 net.cpp:124] Setting up two +I0728 11:24:04.947556 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.947562 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.947568 33722 layer_factory.hpp:77] Creating layer three +I0728 11:24:04.947595 33722 net.cpp:86] Creating Layer three +I0728 11:24:04.947604 33722 net.cpp:408] three <- two +I0728 11:24:04.947613 33722 net.cpp:382] three -> three +I0728 11:24:04.947645 33722 net.cpp:124] Setting up three +I0728 11:24:04.947654 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.947662 33722 net.cpp:139] Memory required for data: 11520 +I0728 11:24:04.947669 33722 net.cpp:202] three does not need backward computation. +I0728 11:24:04.947674 33722 net.cpp:202] two does not need backward computation. +I0728 11:24:04.947695 33722 net.cpp:202] one does not need backward computation. +I0728 11:24:04.947701 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.947708 33722 net.cpp:244] This network produces output three +I0728 11:24:04.947717 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.950804 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpr7837my9 +I0728 11:24:04.950829 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.950835 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.950858 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17912,43 +17978,43 @@ 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: +I0728 11:24:04.950947 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.950960 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.950968 33722 net.cpp:382] input -> data +I0728 11:24:04.951015 33722 net.cpp:124] Setting up input +I0728 11:24:04.951022 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.951030 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.951036 33722 layer_factory.hpp:77] Creating layer one +I0728 11:24:04.951071 33722 net.cpp:86] Creating Layer one +I0728 11:24:04.951079 33722 net.cpp:408] one <- data +I0728 11:24:04.951087 33722 net.cpp:382] one -> one +I0728 11:24:04.951143 33722 net.cpp:124] Setting up one +I0728 11:24:04.951151 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.951159 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.951164 33722 layer_factory.hpp:77] Creating layer two +I0728 11:24:04.951192 33722 net.cpp:86] Creating Layer two +I0728 11:24:04.951200 33722 net.cpp:408] two <- one +I0728 11:24:04.951208 33722 net.cpp:382] two -> two +I0728 11:24:04.951244 33722 net.cpp:124] Setting up two +I0728 11:24:04.951259 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.951267 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.951272 33722 layer_factory.hpp:77] Creating layer three +I0728 11:24:04.951297 33722 net.cpp:86] Creating Layer three +I0728 11:24:04.951321 33722 net.cpp:408] three <- two +I0728 11:24:04.951329 33722 net.cpp:382] three -> three +I0728 11:24:04.951359 33722 net.cpp:124] Setting up three +I0728 11:24:04.951368 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.951375 33722 net.cpp:139] Memory required for data: 11520 +I0728 11:24:04.951382 33722 net.cpp:202] three does not need backward computation. +I0728 11:24:04.951388 33722 net.cpp:202] two does not need backward computation. +I0728 11:24:04.951393 33722 net.cpp:202] one does not need backward computation. +I0728 11:24:04.951400 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.951404 33722 net.cpp:244] This network produces output three +I0728 11:24:04.951412 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.951719 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpa2w6v58s +I0728 11:24:04.951743 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.951750 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.951766 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17977,27 +18043,27 @@ 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: +I0728 11:24:04.951849 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.951879 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.951887 33722 net.cpp:382] input -> data +I0728 11:24:04.951901 33722 net.cpp:124] Setting up input +I0728 11:24:04.951907 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.951913 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.951930 33722 layer_factory.hpp:77] Creating layer layer +I0728 11:24:04.951964 33722 net.cpp:86] Creating Layer layer +I0728 11:24:04.951974 33722 net.cpp:408] layer <- data +I0728 11:24:04.951982 33722 net.cpp:382] layer -> top +I0728 11:24:04.952087 33722 net.cpp:124] Setting up layer +I0728 11:24:04.952097 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.952105 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.952116 33722 net.cpp:202] layer does not need backward computation. +I0728 11:24:04.952123 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.952129 33722 net.cpp:244] This network produces output top +I0728 11:24:04.952137 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.952865 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpa2w6v58s +I0728 11:24:04.952890 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.952898 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.952916 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18026,27 +18092,27 @@ 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: +I0728 11:24:04.952981 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.952994 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.953003 33722 net.cpp:382] input -> data +I0728 11:24:04.953017 33722 net.cpp:124] Setting up input +I0728 11:24:04.953024 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.953044 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.953050 33722 layer_factory.hpp:77] Creating layer layer +I0728 11:24:04.953092 33722 net.cpp:86] Creating Layer layer +I0728 11:24:04.953102 33722 net.cpp:408] layer <- data +I0728 11:24:04.953110 33722 net.cpp:382] layer -> top +I0728 11:24:04.953166 33722 net.cpp:124] Setting up layer +I0728 11:24:04.953176 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.953184 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.953197 33722 net.cpp:202] layer does not need backward computation. +I0728 11:24:04.953203 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.953208 33722 net.cpp:244] This network produces output top +I0728 11:24:04.953217 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.953913 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp80q1tbxc +I0728 11:24:04.953931 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.953938 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.953960 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18095,40 +18161,40 @@ 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: +I0728 11:24:04.954035 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.954049 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.954058 33722 net.cpp:382] input -> data +I0728 11:24:04.954073 33722 net.cpp:124] Setting up input +I0728 11:24:04.954080 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.954087 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.954093 33722 layer_factory.hpp:77] Creating layer one +I0728 11:24:04.954129 33722 net.cpp:86] Creating Layer one +I0728 11:24:04.954155 33722 net.cpp:408] one <- data +I0728 11:24:04.954182 33722 net.cpp:382] one -> one +I0728 11:24:04.954226 33722 net.cpp:124] Setting up one +I0728 11:24:04.954236 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.954244 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.954252 33722 layer_factory.hpp:77] Creating layer two +I0728 11:24:04.954279 33722 net.cpp:86] Creating Layer two +I0728 11:24:04.954288 33722 net.cpp:408] two <- one +I0728 11:24:04.954296 33722 net.cpp:382] two -> two +I0728 11:24:04.954329 33722 net.cpp:124] Setting up two +I0728 11:24:04.954339 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.954346 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.954352 33722 layer_factory.hpp:77] Creating layer three +I0728 11:24:04.954377 33722 net.cpp:86] Creating Layer three +I0728 11:24:04.954386 33722 net.cpp:408] three <- two +I0728 11:24:04.954396 33722 net.cpp:382] three -> three +I0728 11:24:04.954427 33722 net.cpp:124] Setting up three +I0728 11:24:04.954434 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.954443 33722 net.cpp:139] Memory required for data: 11520 +I0728 11:24:04.954449 33722 net.cpp:202] three does not need backward computation. +I0728 11:24:04.954456 33722 net.cpp:202] two does not need backward computation. +I0728 11:24:04.954478 33722 net.cpp:202] one does not need backward computation. +I0728 11:24:04.954484 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.954490 33722 net.cpp:244] This network produces output three +I0728 11:24:04.954500 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.954897 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18144,16 +18210,16 @@ 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: +I0728 11:24:04.954962 33722 layer_factory.hpp:77] Creating layer layer +I0728 11:24:04.954995 33722 net.cpp:86] Creating Layer layer +I0728 11:24:04.955005 33722 net.cpp:382] layer -> phase +I0728 11:24:04.955037 33722 net.cpp:124] Setting up layer +I0728 11:24:04.955045 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.955053 33722 net.cpp:139] Memory required for data: 4 +I0728 11:24:04.955060 33722 net.cpp:202] layer does not need backward computation. +I0728 11:24:04.955065 33722 net.cpp:244] This network produces output phase +I0728 11:24:04.955071 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.955376 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18169,19 +18235,19 @@ 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: +I0728 11:24:04.955420 33722 layer_factory.hpp:77] Creating layer layer +I0728 11:24:04.955453 33722 net.cpp:86] Creating Layer layer +I0728 11:24:04.955463 33722 net.cpp:382] layer -> phase +I0728 11:24:04.955492 33722 net.cpp:124] Setting up layer +I0728 11:24:04.955518 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.955523 33722 net.cpp:139] Memory required for data: 4 +I0728 11:24:04.955529 33722 net.cpp:202] layer does not need backward computation. +I0728 11:24:04.955534 33722 net.cpp:244] This network produces output phase +I0728 11:24:04.955540 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.956162 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp0ba378e9 +I0728 11:24:04.956177 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.956184 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.956207 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18230,43 +18296,43 @@ 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: +I0728 11:24:04.956300 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.956313 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.956322 33722 net.cpp:382] input -> data +I0728 11:24:04.956336 33722 net.cpp:124] Setting up input +I0728 11:24:04.956342 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.956351 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.956357 33722 layer_factory.hpp:77] Creating layer one +I0728 11:24:04.956409 33722 net.cpp:86] Creating Layer one +I0728 11:24:04.956419 33722 net.cpp:408] one <- data +I0728 11:24:04.956429 33722 net.cpp:382] one -> one +I0728 11:24:04.956472 33722 net.cpp:124] Setting up one +I0728 11:24:04.956482 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.956491 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.956498 33722 layer_factory.hpp:77] Creating layer two +I0728 11:24:04.956584 33722 net.cpp:86] Creating Layer two +I0728 11:24:04.956599 33722 net.cpp:408] two <- one +I0728 11:24:04.956609 33722 net.cpp:382] two -> two +I0728 11:24:04.956650 33722 net.cpp:124] Setting up two +I0728 11:24:04.956661 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.956670 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.956677 33722 layer_factory.hpp:77] Creating layer three +I0728 11:24:04.956705 33722 net.cpp:86] Creating Layer three +I0728 11:24:04.956717 33722 net.cpp:408] three <- two +I0728 11:24:04.956725 33722 net.cpp:382] three -> three +I0728 11:24:04.956761 33722 net.cpp:124] Setting up three +I0728 11:24:04.956770 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.956779 33722 net.cpp:139] Memory required for data: 11520 +I0728 11:24:04.956794 33722 net.cpp:202] three does not need backward computation. +I0728 11:24:04.956801 33722 net.cpp:202] two does not need backward computation. +I0728 11:24:04.956809 33722 net.cpp:202] one does not need backward computation. +I0728 11:24:04.956815 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.956821 33722 net.cpp:244] This network produces output three +I0728 11:24:04.956830 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.957816 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp5x3m4o2z +I0728 11:24:04.957834 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.957839 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.957860 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18307,35 +18373,35 @@ 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: +I0728 11:24:04.957931 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.957942 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.957952 33722 net.cpp:382] input -> data +I0728 11:24:04.957965 33722 net.cpp:124] Setting up input +I0728 11:24:04.957973 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.957980 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.957986 33722 layer_factory.hpp:77] Creating layer mul10 +I0728 11:24:04.958024 33722 net.cpp:86] Creating Layer mul10 +I0728 11:24:04.958032 33722 net.cpp:408] mul10 <- data +I0728 11:24:04.958056 33722 net.cpp:382] mul10 -> mul10 +I0728 11:24:04.958104 33722 net.cpp:124] Setting up mul10 +I0728 11:24:04.958114 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.958122 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.958127 33722 layer_factory.hpp:77] Creating layer mul2 +I0728 11:24:04.958153 33722 net.cpp:86] Creating Layer mul2 +I0728 11:24:04.958163 33722 net.cpp:408] mul2 <- mul10 +I0728 11:24:04.958170 33722 net.cpp:382] mul2 -> mul2 +I0728 11:24:04.958205 33722 net.cpp:124] Setting up mul2 +I0728 11:24:04.958214 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.958221 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.958227 33722 net.cpp:202] mul2 does not need backward computation. +I0728 11:24:04.958233 33722 net.cpp:202] mul10 does not need backward computation. +I0728 11:24:04.958238 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.958245 33722 net.cpp:244] This network produces output mul2 +I0728 11:24:04.958252 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.963541 33722 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpt7vi_hxe +I0728 11:24:04.963567 33722 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0728 11:24:04.963573 33722 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0728 11:24:04.963593 33722 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18376,32 +18442,32 @@ 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: +I0728 11:24:04.963724 33722 layer_factory.hpp:77] Creating layer input +I0728 11:24:04.963740 33722 net.cpp:86] Creating Layer input +I0728 11:24:04.963748 33722 net.cpp:382] input -> data +I0728 11:24:04.963762 33722 net.cpp:124] Setting up input +I0728 11:24:04.963769 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.963776 33722 net.cpp:139] Memory required for data: 2880 +I0728 11:24:04.963781 33722 layer_factory.hpp:77] Creating layer mul10 +I0728 11:24:04.963836 33722 net.cpp:86] Creating Layer mul10 +I0728 11:24:04.963848 33722 net.cpp:408] mul10 <- data +I0728 11:24:04.963857 33722 net.cpp:382] mul10 -> mul10 +I0728 11:24:04.963907 33722 net.cpp:124] Setting up mul10 +I0728 11:24:04.963919 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.963927 33722 net.cpp:139] Memory required for data: 5760 +I0728 11:24:04.963932 33722 layer_factory.hpp:77] Creating layer mul2 +I0728 11:24:04.963977 33722 net.cpp:86] Creating Layer mul2 +I0728 11:24:04.963989 33722 net.cpp:408] mul2 <- mul10 +I0728 11:24:04.963996 33722 net.cpp:382] mul2 -> mul2 +I0728 11:24:04.964052 33722 net.cpp:124] Setting up mul2 +I0728 11:24:04.964064 33722 net.cpp:131] Top shape: 10 9 8 (720) +I0728 11:24:04.964072 33722 net.cpp:139] Memory required for data: 8640 +I0728 11:24:04.964077 33722 net.cpp:202] mul2 does not need backward computation. +I0728 11:24:04.964083 33722 net.cpp:202] mul10 does not need backward computation. +I0728 11:24:04.964089 33722 net.cpp:202] input does not need backward computation. +I0728 11:24:04.964094 33722 net.cpp:244] This network produces output mul2 +I0728 11:24:04.964103 33722 net.cpp:257] Network initialization done. +.I0728 11:24:04.967053 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18413,10 +18479,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpay20inkb" +net: "/tmp/tmp7wbud3zt" 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: +I0728 11:24:04.967144 33722 solver.cpp:102] Creating training net from net file: /tmp/tmp7wbud3zt +I0728 11:24:04.967296 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18494,46 +18560,46 @@ 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: +I0728 11:24:04.967389 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.967404 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.967418 33722 net.cpp:382] data -> data +I0728 11:24:04.967432 33722 net.cpp:382] data -> label +I0728 11:24:04.967448 33722 net.cpp:124] Setting up data +I0728 11:24:04.967454 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.967478 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.967485 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.967491 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.967504 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.967511 33722 net.cpp:408] conv <- data +I0728 11:24:04.967525 33722 net.cpp:382] conv -> conv +I0728 11:24:04.967556 33722 net.cpp:124] Setting up conv +I0728 11:24:04.967564 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.967572 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.967586 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.967599 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.967607 33722 net.cpp:408] ip <- conv +I0728 11:24:04.967615 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.967792 33722 net.cpp:124] Setting up ip +I0728 11:24:04.967808 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.967816 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.967828 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.967839 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.967844 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.967867 33722 net.cpp:408] loss <- label +I0728 11:24:04.967875 33722 net.cpp:382] loss -> loss +I0728 11:24:04.967886 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.967904 33722 net.cpp:124] Setting up loss +I0728 11:24:04.967911 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.967918 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.967929 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.967936 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.967941 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.967947 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.967953 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.967959 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.967968 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.968116 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp7wbud3zt +I0728 11:24:04.968151 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18611,46 +18677,46 @@ 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: +I0728 11:24:04.968312 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.968325 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.968334 33722 net.cpp:382] data -> data +I0728 11:24:04.968348 33722 net.cpp:382] data -> label +I0728 11:24:04.968400 33722 net.cpp:124] Setting up data +I0728 11:24:04.968407 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.968416 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.968423 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.968430 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.968442 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.968449 33722 net.cpp:408] conv <- data +I0728 11:24:04.968459 33722 net.cpp:382] conv -> conv +I0728 11:24:04.968492 33722 net.cpp:124] Setting up conv +I0728 11:24:04.968500 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.968508 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.968520 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.968531 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.968537 33722 net.cpp:408] ip <- conv +I0728 11:24:04.968547 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.968758 33722 net.cpp:124] Setting up ip +I0728 11:24:04.968773 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.968781 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.968793 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.968802 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.968809 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.968816 33722 net.cpp:408] loss <- label +I0728 11:24:04.968822 33722 net.cpp:382] loss -> loss +I0728 11:24:04.968832 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.968848 33722 net.cpp:124] Setting up loss +I0728 11:24:04.968855 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.968863 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.968873 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.968878 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.968884 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.968890 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.968914 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.968919 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.968928 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.968951 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.969070 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18662,10 +18728,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpay20inkb" +net: "/tmp/tmp7wbud3zt" 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: +I0728 11:24:04.969120 33722 solver.cpp:102] Creating training net from net file: /tmp/tmp7wbud3zt +I0728 11:24:04.969292 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18743,46 +18809,46 @@ 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: +I0728 11:24:04.969404 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.969419 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.969427 33722 net.cpp:382] data -> data +I0728 11:24:04.969439 33722 net.cpp:382] data -> label +I0728 11:24:04.969453 33722 net.cpp:124] Setting up data +I0728 11:24:04.969460 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.969468 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.969475 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.969481 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.969502 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.969527 33722 net.cpp:408] conv <- data +I0728 11:24:04.969537 33722 net.cpp:382] conv -> conv +I0728 11:24:04.969568 33722 net.cpp:124] Setting up conv +I0728 11:24:04.969575 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.969583 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.969596 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.969607 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.969614 33722 net.cpp:408] ip <- conv +I0728 11:24:04.969622 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.969841 33722 net.cpp:124] Setting up ip +I0728 11:24:04.969875 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.969882 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.969893 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.969908 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.969913 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.969920 33722 net.cpp:408] loss <- label +I0728 11:24:04.969928 33722 net.cpp:382] loss -> loss +I0728 11:24:04.969938 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.969974 33722 net.cpp:124] Setting up loss +I0728 11:24:04.969981 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.969990 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.969998 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.970005 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.970011 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.970016 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.970022 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.970029 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.970038 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.970185 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp7wbud3zt +I0728 11:24:04.970218 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18860,47 +18926,47 @@ 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: +I0728 11:24:04.970367 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.970382 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.970391 33722 net.cpp:382] data -> data +I0728 11:24:04.970418 33722 net.cpp:382] data -> label +I0728 11:24:04.970434 33722 net.cpp:124] Setting up data +I0728 11:24:04.970441 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.970450 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.970458 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.970464 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.970476 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.970482 33722 net.cpp:408] conv <- data +I0728 11:24:04.970492 33722 net.cpp:382] conv -> conv +I0728 11:24:04.970525 33722 net.cpp:124] Setting up conv +I0728 11:24:04.970533 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.970541 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.970552 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.970563 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.970569 33722 net.cpp:408] ip <- conv +I0728 11:24:04.970578 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.970791 33722 net.cpp:124] Setting up ip +I0728 11:24:04.970806 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.970813 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.970825 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.970835 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.970840 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.970847 33722 net.cpp:408] loss <- label +I0728 11:24:04.970854 33722 net.cpp:382] loss -> loss +I0728 11:24:04.970865 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.970882 33722 net.cpp:124] Setting up loss +I0728 11:24:04.970889 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.970896 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.970906 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.970911 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.970918 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.970940 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.970947 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.970952 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.970961 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.971005 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.971627 33722 sgd_solver.cpp:112] Iteration 0, lr = 0.01 +.I0728 11:24:04.972292 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18912,10 +18978,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpci8wa_2a" +net: "/tmp/tmplqyhy07f" 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: +I0728 11:24:04.972357 33722 solver.cpp:102] Creating training net from net file: /tmp/tmplqyhy07f +I0728 11:24:04.972537 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18993,46 +19059,46 @@ 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: +I0728 11:24:04.972631 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.972647 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.972657 33722 net.cpp:382] data -> data +I0728 11:24:04.972671 33722 net.cpp:382] data -> label +I0728 11:24:04.972688 33722 net.cpp:124] Setting up data +I0728 11:24:04.972694 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.972703 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.972712 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.972718 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.972746 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.972752 33722 net.cpp:408] conv <- data +I0728 11:24:04.972762 33722 net.cpp:382] conv -> conv +I0728 11:24:04.972793 33722 net.cpp:124] Setting up conv +I0728 11:24:04.972801 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.972810 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.972820 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.972831 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.972837 33722 net.cpp:408] ip <- conv +I0728 11:24:04.972846 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.973017 33722 net.cpp:124] Setting up ip +I0728 11:24:04.973033 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.973042 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.973052 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.973062 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.973069 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.973075 33722 net.cpp:408] loss <- label +I0728 11:24:04.973099 33722 net.cpp:382] loss -> loss +I0728 11:24:04.973111 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.973129 33722 net.cpp:124] Setting up loss +I0728 11:24:04.973136 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.973143 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.973170 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.973176 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.973183 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.973189 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.973196 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.973201 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.973212 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.973361 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmplqyhy07f +I0728 11:24:04.973397 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19110,46 +19176,46 @@ 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: +I0728 11:24:04.973531 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.973546 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.973553 33722 net.cpp:382] data -> data +I0728 11:24:04.973567 33722 net.cpp:382] data -> label +I0728 11:24:04.973582 33722 net.cpp:124] Setting up data +I0728 11:24:04.973588 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.973598 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.973605 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.973611 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.973623 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.973629 33722 net.cpp:408] conv <- data +I0728 11:24:04.973639 33722 net.cpp:382] conv -> conv +I0728 11:24:04.973685 33722 net.cpp:124] Setting up conv +I0728 11:24:04.973692 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.973711 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.973722 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.973732 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.973739 33722 net.cpp:408] ip <- conv +I0728 11:24:04.973748 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.973949 33722 net.cpp:124] Setting up ip +I0728 11:24:04.973964 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.973973 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.973984 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.973994 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.974017 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.974033 33722 net.cpp:408] loss <- label +I0728 11:24:04.974040 33722 net.cpp:382] loss -> loss +I0728 11:24:04.974051 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.974068 33722 net.cpp:124] Setting up loss +I0728 11:24:04.974076 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.974082 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.974093 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.974108 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.974114 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.974119 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.974126 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.974149 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.974159 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.974184 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.974280 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19161,10 +19227,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpci8wa_2a" +net: "/tmp/tmplqyhy07f" 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: +I0728 11:24:04.974331 33722 solver.cpp:102] Creating training net from net file: /tmp/tmplqyhy07f +I0728 11:24:04.974534 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19242,46 +19308,46 @@ 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: +I0728 11:24:04.974642 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.974655 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.974664 33722 net.cpp:382] data -> data +I0728 11:24:04.974678 33722 net.cpp:382] data -> label +I0728 11:24:04.974691 33722 net.cpp:124] Setting up data +I0728 11:24:04.974699 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.974706 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.974714 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.974720 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.974733 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.974751 33722 net.cpp:408] conv <- data +I0728 11:24:04.974761 33722 net.cpp:382] conv -> conv +I0728 11:24:04.974803 33722 net.cpp:124] Setting up conv +I0728 11:24:04.974812 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.974835 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.974848 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.974857 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.974864 33722 net.cpp:408] ip <- conv +I0728 11:24:04.974872 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.975068 33722 net.cpp:124] Setting up ip +I0728 11:24:04.975083 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.975090 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.975101 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.975112 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.975117 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.975123 33722 net.cpp:408] loss <- label +I0728 11:24:04.975131 33722 net.cpp:382] loss -> loss +I0728 11:24:04.975142 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.975159 33722 net.cpp:124] Setting up loss +I0728 11:24:04.975167 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.975173 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.975200 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.975206 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.975214 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.975219 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.975225 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.975231 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.975241 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.975389 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmplqyhy07f +I0728 11:24:04.975423 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19359,46 +19425,46 @@ 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: +I0728 11:24:04.975579 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.975594 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.975602 33722 net.cpp:382] data -> data +I0728 11:24:04.975615 33722 net.cpp:382] data -> label +I0728 11:24:04.975630 33722 net.cpp:124] Setting up data +I0728 11:24:04.975637 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.975646 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.975654 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.975661 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.975672 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.975679 33722 net.cpp:408] conv <- data +I0728 11:24:04.975688 33722 net.cpp:382] conv -> conv +I0728 11:24:04.975734 33722 net.cpp:124] Setting up conv +I0728 11:24:04.975741 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.975749 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.975760 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.975771 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.975777 33722 net.cpp:408] ip <- conv +I0728 11:24:04.975785 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.976006 33722 net.cpp:124] Setting up ip +I0728 11:24:04.976022 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.976028 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.976040 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.976050 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.976055 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.976061 33722 net.cpp:408] loss <- label +I0728 11:24:04.976068 33722 net.cpp:382] loss -> loss +I0728 11:24:04.976079 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.976097 33722 net.cpp:124] Setting up loss +I0728 11:24:04.976104 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.976110 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.976119 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.976125 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.976131 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.976136 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.976142 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.976150 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.976158 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.976182 33722 solver.cpp:57] Solver scaffolding done. +.I0728 11:24:04.978016 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19410,10 +19476,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmp5my4p6dp" +net: "/tmp/tmpu2ntn0_u" 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: +I0728 11:24:04.978062 33722 solver.cpp:102] Creating training net from net file: /tmp/tmpu2ntn0_u +I0728 11:24:04.978235 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19491,46 +19557,46 @@ 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: +I0728 11:24:04.978348 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.978363 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.978372 33722 net.cpp:382] data -> data +I0728 11:24:04.978389 33722 net.cpp:382] data -> label +I0728 11:24:04.978405 33722 net.cpp:124] Setting up data +I0728 11:24:04.978411 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.978420 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.978427 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.978433 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.978446 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.978452 33722 net.cpp:408] conv <- data +I0728 11:24:04.978461 33722 net.cpp:382] conv -> conv +I0728 11:24:04.978493 33722 net.cpp:124] Setting up conv +I0728 11:24:04.978502 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.978509 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.978520 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.978533 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.978538 33722 net.cpp:408] ip <- conv +I0728 11:24:04.978547 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.978750 33722 net.cpp:124] Setting up ip +I0728 11:24:04.978767 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.978775 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.978787 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.978796 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.978803 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.978816 33722 net.cpp:408] loss <- label +I0728 11:24:04.978822 33722 net.cpp:382] loss -> loss +I0728 11:24:04.978834 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.978852 33722 net.cpp:124] Setting up loss +I0728 11:24:04.978859 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.978866 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.978878 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.978883 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.978889 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.978894 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.978900 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.978906 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.978916 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.979091 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpu2ntn0_u +I0728 11:24:04.979126 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19608,46 +19674,46 @@ 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: +I0728 11:24:04.979243 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.979256 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.979265 33722 net.cpp:382] data -> data +I0728 11:24:04.979277 33722 net.cpp:382] data -> label +I0728 11:24:04.979291 33722 net.cpp:124] Setting up data +I0728 11:24:04.979298 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.979306 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.979315 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.979321 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.979332 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.979338 33722 net.cpp:408] conv <- data +I0728 11:24:04.979348 33722 net.cpp:382] conv -> conv +I0728 11:24:04.979398 33722 net.cpp:124] Setting up conv +I0728 11:24:04.979405 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.979413 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.979425 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.979436 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.979444 33722 net.cpp:408] ip <- conv +I0728 11:24:04.979454 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.979640 33722 net.cpp:124] Setting up ip +I0728 11:24:04.979655 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.979665 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.979676 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.979686 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.979693 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.979701 33722 net.cpp:408] loss <- label +I0728 11:24:04.979708 33722 net.cpp:382] loss -> loss +I0728 11:24:04.979719 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.979737 33722 net.cpp:124] Setting up loss +I0728 11:24:04.979744 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.979751 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.979763 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.979768 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.979774 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.979780 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.979787 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.979792 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.979802 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.979826 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.979918 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19659,10 +19725,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmp5my4p6dp" +net: "/tmp/tmpu2ntn0_u" 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: +I0728 11:24:04.979969 33722 solver.cpp:102] Creating training net from net file: /tmp/tmpu2ntn0_u +I0728 11:24:04.980132 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19740,46 +19806,46 @@ 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: +I0728 11:24:04.980245 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.980259 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.980268 33722 net.cpp:382] data -> data +I0728 11:24:04.980280 33722 net.cpp:382] data -> label +I0728 11:24:04.980295 33722 net.cpp:124] Setting up data +I0728 11:24:04.980302 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.980310 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.980317 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.980324 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.980336 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.980343 33722 net.cpp:408] conv <- data +I0728 11:24:04.980397 33722 net.cpp:382] conv -> conv +I0728 11:24:04.980432 33722 net.cpp:124] Setting up conv +I0728 11:24:04.980441 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.980448 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.980460 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.980471 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.980477 33722 net.cpp:408] ip <- conv +I0728 11:24:04.980487 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.980688 33722 net.cpp:124] Setting up ip +I0728 11:24:04.980705 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.980711 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.980723 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.980734 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.980741 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.980746 33722 net.cpp:408] loss <- label +I0728 11:24:04.980754 33722 net.cpp:382] loss -> loss +I0728 11:24:04.980765 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.980784 33722 net.cpp:124] Setting up loss +I0728 11:24:04.980790 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.980798 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.980808 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.980813 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.980820 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.980825 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.980831 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.980837 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.980847 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.981019 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpu2ntn0_u +I0728 11:24:04.981053 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19857,48 +19923,48 @@ 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: +I0728 11:24:04.981178 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.981192 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.981200 33722 net.cpp:382] data -> data +I0728 11:24:04.981212 33722 net.cpp:382] data -> label +I0728 11:24:04.981227 33722 net.cpp:124] Setting up data +I0728 11:24:04.981235 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.981243 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.981251 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.981256 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.981267 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.981274 33722 net.cpp:408] conv <- data +I0728 11:24:04.981284 33722 net.cpp:382] conv -> conv +I0728 11:24:04.981315 33722 net.cpp:124] Setting up conv +I0728 11:24:04.981321 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.981329 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.981340 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.981351 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.981357 33722 net.cpp:408] ip <- conv +I0728 11:24:04.981366 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.981580 33722 net.cpp:124] Setting up ip +I0728 11:24:04.981596 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.981603 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.981616 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.981626 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.981631 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.981638 33722 net.cpp:408] loss <- label +I0728 11:24:04.981645 33722 net.cpp:382] loss -> loss +I0728 11:24:04.981657 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.981675 33722 net.cpp:124] Setting up loss +I0728 11:24:04.981683 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.981689 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.981699 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.981705 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.981711 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.981717 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.981724 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.981730 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.981740 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.981772 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.982326 33722 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel +I0728 11:24:04.982575 33722 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate +.I0728 11:24:04.983255 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19910,10 +19976,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpe2_0z5rj" +net: "/tmp/tmp23ljnuto" 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: +I0728 11:24:04.983299 33722 solver.cpp:102] Creating training net from net file: /tmp/tmp23ljnuto +I0728 11:24:04.983450 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19991,46 +20057,46 @@ 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: +I0728 11:24:04.983546 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.983577 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.983587 33722 net.cpp:382] data -> data +I0728 11:24:04.983599 33722 net.cpp:382] data -> label +I0728 11:24:04.983615 33722 net.cpp:124] Setting up data +I0728 11:24:04.983639 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.983649 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.983655 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.983661 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.983675 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.983682 33722 net.cpp:408] conv <- data +I0728 11:24:04.983692 33722 net.cpp:382] conv -> conv +I0728 11:24:04.983727 33722 net.cpp:124] Setting up conv +I0728 11:24:04.983736 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.983742 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.983755 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.983767 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.983774 33722 net.cpp:408] ip <- conv +I0728 11:24:04.983784 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.983976 33722 net.cpp:124] Setting up ip +I0728 11:24:04.983992 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.984000 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.984012 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.984021 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.984030 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.984035 33722 net.cpp:408] loss <- label +I0728 11:24:04.984042 33722 net.cpp:382] loss -> loss +I0728 11:24:04.984053 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.984072 33722 net.cpp:124] Setting up loss +I0728 11:24:04.984079 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.984086 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.984097 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.984103 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.984109 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.984115 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.984122 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.984126 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.984135 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.984310 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp23ljnuto +I0728 11:24:04.984345 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20108,46 +20174,46 @@ 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: +I0728 11:24:04.984495 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.984510 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.984519 33722 net.cpp:382] data -> data +I0728 11:24:04.984532 33722 net.cpp:382] data -> label +I0728 11:24:04.984549 33722 net.cpp:124] Setting up data +I0728 11:24:04.984556 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.984565 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.984573 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.984578 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.984601 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.984607 33722 net.cpp:408] conv <- data +I0728 11:24:04.984617 33722 net.cpp:382] conv -> conv +I0728 11:24:04.984650 33722 net.cpp:124] Setting up conv +I0728 11:24:04.984658 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.984665 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.984678 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.984690 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.984697 33722 net.cpp:408] ip <- conv +I0728 11:24:04.984721 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.984910 33722 net.cpp:124] Setting up ip +I0728 11:24:04.984941 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.984948 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.984961 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.984970 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.984977 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.984983 33722 net.cpp:408] loss <- label +I0728 11:24:04.984990 33722 net.cpp:382] loss -> loss +I0728 11:24:04.985002 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.985019 33722 net.cpp:124] Setting up loss +I0728 11:24:04.985026 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.985033 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.985044 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.985049 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.985055 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.985061 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.985067 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.985074 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.985083 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.985106 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.985198 33722 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -20159,10 +20225,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpe2_0z5rj" +net: "/tmp/tmp23ljnuto" 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: +I0728 11:24:04.985273 33722 solver.cpp:102] Creating training net from net file: /tmp/tmp23ljnuto +I0728 11:24:04.985430 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20240,46 +20306,46 @@ 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: +I0728 11:24:04.985543 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.985555 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.985565 33722 net.cpp:382] data -> data +I0728 11:24:04.985577 33722 net.cpp:382] data -> label +I0728 11:24:04.985591 33722 net.cpp:124] Setting up data +I0728 11:24:04.985599 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.985606 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.985615 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.985620 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.985632 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.985656 33722 net.cpp:408] conv <- data +I0728 11:24:04.985677 33722 net.cpp:382] conv -> conv +I0728 11:24:04.985709 33722 net.cpp:124] Setting up conv +I0728 11:24:04.985718 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.985724 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.985738 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.985747 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.985754 33722 net.cpp:408] ip <- conv +I0728 11:24:04.985764 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.985965 33722 net.cpp:124] Setting up ip +I0728 11:24:04.985981 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.985988 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.986001 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.986011 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.986017 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.986023 33722 net.cpp:408] loss <- label +I0728 11:24:04.986032 33722 net.cpp:382] loss -> loss +I0728 11:24:04.986042 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.986060 33722 net.cpp:124] Setting up loss +I0728 11:24:04.986068 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.986075 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.986085 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.986091 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.986099 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.986104 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.986110 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.986116 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.986126 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.986304 33722 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp23ljnuto +I0728 11:24:04.986337 33722 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20357,77 +20423,77 @@ 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. +I0728 11:24:04.986454 33722 layer_factory.hpp:77] Creating layer data +I0728 11:24:04.986469 33722 net.cpp:86] Creating Layer data +I0728 11:24:04.986476 33722 net.cpp:382] data -> data +I0728 11:24:04.986487 33722 net.cpp:382] data -> label +I0728 11:24:04.986502 33722 net.cpp:124] Setting up data +I0728 11:24:04.986508 33722 net.cpp:131] Top shape: 5 2 3 4 (120) +I0728 11:24:04.986517 33722 net.cpp:131] Top shape: 5 1 1 1 (5) +I0728 11:24:04.986524 33722 net.cpp:139] Memory required for data: 500 +I0728 11:24:04.986531 33722 layer_factory.hpp:77] Creating layer conv +I0728 11:24:04.986541 33722 net.cpp:86] Creating Layer conv +I0728 11:24:04.986548 33722 net.cpp:408] conv <- data +I0728 11:24:04.986557 33722 net.cpp:382] conv -> conv +I0728 11:24:04.986588 33722 net.cpp:124] Setting up conv +I0728 11:24:04.986595 33722 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0728 11:24:04.986603 33722 net.cpp:139] Memory required for data: 16340 +I0728 11:24:04.986614 33722 layer_factory.hpp:77] Creating layer ip +I0728 11:24:04.986625 33722 net.cpp:86] Creating Layer ip +I0728 11:24:04.986631 33722 net.cpp:408] ip <- conv +I0728 11:24:04.986640 33722 net.cpp:382] ip -> ip_blob +I0728 11:24:04.986848 33722 net.cpp:124] Setting up ip +I0728 11:24:04.986862 33722 net.cpp:131] Top shape: 5 13 (65) +I0728 11:24:04.986869 33722 net.cpp:139] Memory required for data: 16600 +I0728 11:24:04.986881 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.986891 33722 net.cpp:86] Creating Layer loss +I0728 11:24:04.986896 33722 net.cpp:408] loss <- ip_blob +I0728 11:24:04.986902 33722 net.cpp:408] loss <- label +I0728 11:24:04.986910 33722 net.cpp:382] loss -> loss +I0728 11:24:04.986922 33722 layer_factory.hpp:77] Creating layer loss +I0728 11:24:04.986938 33722 net.cpp:124] Setting up loss +I0728 11:24:04.986944 33722 net.cpp:131] Top shape: (1) +I0728 11:24:04.986951 33722 net.cpp:134] with loss weight 1 +I0728 11:24:04.986961 33722 net.cpp:139] Memory required for data: 16604 +I0728 11:24:04.986968 33722 net.cpp:200] loss needs backward computation. +I0728 11:24:04.986974 33722 net.cpp:200] ip needs backward computation. +I0728 11:24:04.986995 33722 net.cpp:200] conv needs backward computation. +I0728 11:24:04.987002 33722 net.cpp:202] data does not need backward computation. +I0728 11:24:04.987008 33722 net.cpp:244] This network produces output loss +I0728 11:24:04.987033 33722 net.cpp:257] Network initialization done. +I0728 11:24:04.987054 33722 solver.cpp:57] Solver scaffolding done. +I0728 11:24:04.987583 33722 solver.cpp:289] Solving testnet +I0728 11:24:04.987604 33722 solver.cpp:290] Learning Rate Policy: inv +I0728 11:24:04.987643 33722 solver.cpp:347] Iteration 0, Testing net (#0) +I0728 11:24:04.988909 33722 solver.cpp:414] Test net output #0: loss = 76.3433 (* 1 = 76.3433 loss) +I0728 11:24:04.989277 33722 solver.cpp:239] Iteration 0 (-1.4013e-42 iter/s, 0.001s/100 iters), loss = 87.3365 +I0728 11:24:04.989322 33722 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0728 11:24:04.989331 33722 sgd_solver.cpp:112] Iteration 0, lr = 0.01 +I0728 11:24:05.006002 33722 solver.cpp:347] Iteration 10, Testing net (#0) +I0728 11:24:05.007114 33722 solver.cpp:414] Test net output #0: loss = 79.2126 (* 1 = 79.2126 loss) +I0728 11:24:05.015046 33722 solver.cpp:347] Iteration 20, Testing net (#0) +I0728 11:24:05.016139 33722 solver.cpp:414] Test net output #0: loss = 79.6262 (* 1 = 79.6262 loss) +I0728 11:24:05.036113 33722 solver.cpp:347] Iteration 30, Testing net (#0) +I0728 11:24:05.037374 33722 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0728 11:24:05.051132 33722 solver.cpp:347] Iteration 40, Testing net (#0) +I0728 11:24:05.052227 33722 solver.cpp:414] Test net output #0: loss = 81.3552 (* 1 = 81.3552 loss) +I0728 11:24:05.066078 33722 solver.cpp:347] Iteration 50, Testing net (#0) +I0728 11:24:05.067185 33722 solver.cpp:414] Test net output #0: loss = 77.411 (* 1 = 77.411 loss) +I0728 11:24:05.077855 33722 solver.cpp:347] Iteration 60, Testing net (#0) +I0728 11:24:05.078996 33722 solver.cpp:414] Test net output #0: loss = 86.8201 (* 1 = 86.8201 loss) +I0728 11:24:05.095057 33722 solver.cpp:347] Iteration 70, Testing net (#0) +I0728 11:24:05.096149 33722 solver.cpp:414] Test net output #0: loss = 77.4566 (* 1 = 77.4566 loss) +I0728 11:24:05.109622 33722 solver.cpp:347] Iteration 80, Testing net (#0) +I0728 11:24:05.110775 33722 solver.cpp:414] Test net output #0: loss = 83.6324 (* 1 = 83.6324 loss) +I0728 11:24:05.126209 33722 solver.cpp:347] Iteration 90, Testing net (#0) +I0728 11:24:05.127338 33722 solver.cpp:414] Test net output #0: loss = 86.4497 (* 1 = 86.4497 loss) +I0728 11:24:05.133776 33722 solver.cpp:327] Iteration 100, loss = 74.5434 +I0728 11:24:05.133812 33722 solver.cpp:347] Iteration 100, Testing net (#0) +I0728 11:24:05.135428 33722 solver.cpp:414] Test net output #0: loss = 82.765 (* 1 = 82.765 loss) +I0728 11:24:05.135449 33722 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- -Ran 52 tests in 22.100s +Ran 52 tests in 10.983s OK make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -20445,7 +20511,7 @@ 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 + cd caffe_cpu_build && make -j18 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 @@ -20459,118 +20525,118 @@ -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer_factory.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/net.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_gradient_check_util.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_caffe_main.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/caffe.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/filler.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/syncedmem.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver_factory.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/internal_thread.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/sgd_solvers.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/parallel.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer_factory.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/data_transformer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/reshape_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/parameter_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/python_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/prelu_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_data_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_conv_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/sigmoid_cross_entropy_loss_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/elu_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_lcn_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/contrastive_loss_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/scale_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_conv_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bnll_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_deconv_layer.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/reduction_layer.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/multinomial_logistic_loss_layer.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_norm_layer.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/eltwise_layer.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/mvn_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/inner_product_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/lstm_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/dummy_data_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/window_data_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bias_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/concat_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hinge_loss_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/image_data_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hdf5_data_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/silence_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/deconv_layer.hpp --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/threshold_layer.hpp --- Installing: 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/build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/caffe.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/internal_thread.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver_factory.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/parallel.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/data_transformer.hpp +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/net.hpp -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/proto/caffe.pb.h -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/i386-linux-gnu/libcaffe.so.1.0.0 -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/i386-linux-gnu/libcaffe.so @@ -20595,20 +20661,20 @@ -- 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 +-- 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/classifier.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/__init__.py +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py +-- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- 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/__init__.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ --- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/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/draw.py -- Installing: /build/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -20657,38 +20723,40 @@ 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 caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined +dpkg-gencontrol: warning: package 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-doc: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package 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 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_i386.deb'. +dpkg-deb: building package 'libcaffe1' in '../libcaffe1_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 'libcaffe-dev' in '../libcaffe-dev_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-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: user script /srv/workspace/pbuilder/56118/tmp/hooks/B01_cleanup starting +I: user script /srv/workspace/pbuilder/56118/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env -I: removing directory /srv/workspace/pbuilder/18462 and its subdirectories -I: Current time: Thu Jun 24 02:53:19 -12 2021 -I: pbuilder-time-stamp: 1624546399 +I: removing directory /srv/workspace/pbuilder/56118 and its subdirectories +I: Current time: Thu Jul 28 11:24:45 +14 2022 +I: pbuilder-time-stamp: 1658957085