Diff of the two buildlogs: -- --- b1/build.log 2021-12-25 21:58:47.583483957 +0000 +++ b2/build.log 2021-12-25 22:33:33.770355338 +0000 @@ -1,6 +1,6 @@ I: pbuilder: network access will be disabled during build -I: Current time: Sat Dec 25 09:15:02 -12 2021 -I: pbuilder-time-stamp: 1640466902 +I: Current time: Sat Jan 28 18:21:58 +14 2023 +I: pbuilder-time-stamp: 1674879718 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration @@ -16,8 +16,8 @@ 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.mPbtFMB1/trustedkeys.kbx': General error -gpgv: Signature made Fri Nov 20 19:51:48 2020 -12 +gpgv: keyblock resource '/tmp/dpkg-verify-sig.BrvR8PwI/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 @@ -34,135 +34,169 @@ dpkg-source: info: applying pyrequire-no-leveldb.patch I: using fakeroot in build. I: Installing the build-deps -I: user script /srv/workspace/pbuilder/862015/tmp/hooks/D02_print_environment starting +I: user script /srv/workspace/pbuilder/83977/tmp/hooks/D01_modify_environment starting +debug: Running on ionos5-amd64. +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/83977/tmp/hooks/D01_modify_environment finished +I: user script /srv/workspace/pbuilder/83977/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='amd64' - DEBIAN_FRONTEND='noninteractive' - DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=15' - DISTRIBUTION='' - HOME='/root' - HOST_ARCH='amd64' + 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]="x86_64-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=amd64 + DEBIAN_FRONTEND=noninteractive + DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=16' + DIRSTACK=() + DISTRIBUTION= + EUID=0 + FUNCNAME=([0]="Echo" [1]="main") + GROUPS=() + HOME=/root + HOSTNAME=i-capture-the-hostname + HOSTTYPE=x86_64 + HOST_ARCH=amd64 IFS=' ' - INVOCATION_ID='081805eaa7c745e08c91c1b451d4b3d6' - LANG='C' - LANGUAGE='en_US:en' - LC_ALL='C' - MAIL='/var/mail/root' - OPTIND='1' - PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' - PBCURRENTCOMMANDLINEOPERATION='build' - PBUILDER_OPERATION='build' - PBUILDER_PKGDATADIR='/usr/share/pbuilder' - PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' - PBUILDER_SYSCONFDIR='/etc' - PPID='862015' - PS1='# ' - PS2='> ' + INVOCATION_ID=c6e5a59cfe724a90a21f7a786881a617 + LANG=C + LANGUAGE=et_EE:et + LC_ALL=C + MACHTYPE=x86_64-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=83977 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.Ib4ZOmxEjX/pbuilderrc_D3Wk --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' - SUDO_GID='111' - SUDO_UID='106' - 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.Ib4ZOmxEjX/pbuilderrc_C6cB --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.Ib4ZOmxEjX/b2 --logfile b2/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' + SUDO_GID=110 + SUDO_UID=105 + SUDO_USER=jenkins + TERM=unknown + TZ=/usr/share/zoneinfo/Etc/GMT-14 + UID=0 + USER=root + _='I: set' + http_proxy=http://85.184.249.68:3128 I: uname -a - Linux ionos11-amd64 5.10.0-10-amd64 #1 SMP Debian 5.10.84-1 (2021-12-08) x86_64 GNU/Linux + Linux i-capture-the-hostname 5.14.0-0.bpo.2-amd64 #1 SMP Debian 5.14.9-2~bpo11+1 (2021-10-10) x86_64 GNU/Linux I: ls -l /bin total 5476 - -rwxr-xr-x 1 root root 1234376 Aug 4 08:25 bash - -rwxr-xr-x 3 root root 38984 Jul 20 2020 bunzip2 - -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzcat - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzcmp -> bzdiff - -rwxr-xr-x 1 root root 2225 Jul 20 2020 bzdiff - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzegrep -> bzgrep - -rwxr-xr-x 1 root root 4877 Sep 4 2019 bzexe - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzfgrep -> bzgrep - -rwxr-xr-x 1 root root 3775 Jul 20 2020 bzgrep - -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzip2 - -rwxr-xr-x 1 root root 18424 Jul 20 2020 bzip2recover - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzless -> bzmore - -rwxr-xr-x 1 root root 1297 Jul 20 2020 bzmore - -rwxr-xr-x 1 root root 43936 Sep 23 2020 cat - -rwxr-xr-x 1 root root 72672 Sep 23 2020 chgrp - -rwxr-xr-x 1 root root 64448 Sep 23 2020 chmod - -rwxr-xr-x 1 root root 72672 Sep 23 2020 chown - -rwxr-xr-x 1 root root 151168 Sep 23 2020 cp - -rwxr-xr-x 1 root root 125560 Dec 10 2020 dash - -rwxr-xr-x 1 root root 113664 Sep 23 2020 date - -rwxr-xr-x 1 root root 80968 Sep 23 2020 dd - -rwxr-xr-x 1 root root 93936 Sep 23 2020 df - -rwxr-xr-x 1 root root 147176 Sep 23 2020 dir - -rwxr-xr-x 1 root root 84440 Jul 28 07:09 dmesg - lrwxrwxrwx 1 root root 8 Nov 6 2019 dnsdomainname -> hostname - lrwxrwxrwx 1 root root 8 Nov 6 2019 domainname -> hostname - -rwxr-xr-x 1 root root 39712 Sep 23 2020 echo - -rwxr-xr-x 1 root root 28 Nov 9 2020 egrep - -rwxr-xr-x 1 root root 39680 Sep 23 2020 false - -rwxr-xr-x 1 root root 28 Nov 9 2020 fgrep - -rwxr-xr-x 1 root root 69032 Jul 28 07:09 findmnt - -rwsr-xr-x 1 root root 34896 Feb 26 2021 fusermount - -rwxr-xr-x 1 root root 203072 Nov 9 2020 grep - -rwxr-xr-x 2 root root 2346 Mar 2 2021 gunzip - -rwxr-xr-x 1 root root 6376 Mar 2 2021 gzexe - -rwxr-xr-x 1 root root 98048 Mar 2 2021 gzip - -rwxr-xr-x 1 root root 22600 Nov 6 2019 hostname - -rwxr-xr-x 1 root root 72840 Sep 23 2020 ln - -rwxr-xr-x 1 root root 56952 Feb 7 2020 login - -rwxr-xr-x 1 root root 147176 Sep 23 2020 ls - -rwxr-xr-x 1 root root 149736 Jul 28 07:09 lsblk - -rwxr-xr-x 1 root root 85184 Sep 23 2020 mkdir - -rwxr-xr-x 1 root root 76896 Sep 23 2020 mknod - -rwxr-xr-x 1 root root 48064 Sep 23 2020 mktemp - -rwxr-xr-x 1 root root 59632 Jul 28 07:09 more - -rwsr-xr-x 1 root root 55528 Jul 28 07:09 mount - -rwxr-xr-x 1 root root 18664 Jul 28 07:09 mountpoint - -rwxr-xr-x 1 root root 147080 Sep 23 2020 mv - lrwxrwxrwx 1 root root 8 Nov 6 2019 nisdomainname -> hostname - lrwxrwxrwx 1 root root 14 Apr 18 2021 pidof -> /sbin/killall5 - -rwxr-xr-x 1 root root 43872 Sep 23 2020 pwd - lrwxrwxrwx 1 root root 4 Aug 4 08:25 rbash -> bash - -rwxr-xr-x 1 root root 52032 Sep 23 2020 readlink - -rwxr-xr-x 1 root root 72704 Sep 23 2020 rm - -rwxr-xr-x 1 root root 52032 Sep 23 2020 rmdir - -rwxr-xr-x 1 root root 27472 Sep 27 2020 run-parts - -rwxr-xr-x 1 root root 122224 Dec 22 2018 sed - lrwxrwxrwx 1 root root 4 Dec 20 21:24 sh -> dash - -rwxr-xr-x 1 root root 43808 Sep 23 2020 sleep - -rwxr-xr-x 1 root root 84928 Sep 23 2020 stty - -rwsr-xr-x 1 root root 71912 Jul 28 07:09 su - -rwxr-xr-x 1 root root 39744 Sep 23 2020 sync - -rwxr-xr-x 1 root root 531928 Feb 16 2021 tar - -rwxr-xr-x 1 root root 14456 Sep 27 2020 tempfile - -rwxr-xr-x 1 root root 101408 Sep 23 2020 touch - -rwxr-xr-x 1 root root 39680 Sep 23 2020 true - -rwxr-xr-x 1 root root 14328 Feb 26 2021 ulockmgr_server - -rwsr-xr-x 1 root root 35040 Jul 28 07:09 umount - -rwxr-xr-x 1 root root 39744 Sep 23 2020 uname - -rwxr-xr-x 2 root root 2346 Mar 2 2021 uncompress - -rwxr-xr-x 1 root root 147176 Sep 23 2020 vdir - -rwxr-xr-x 1 root root 63744 Jul 28 07:09 wdctl - lrwxrwxrwx 1 root root 8 Nov 6 2019 ypdomainname -> hostname - -rwxr-xr-x 1 root root 1984 Mar 2 2021 zcat - -rwxr-xr-x 1 root root 1678 Mar 2 2021 zcmp - -rwxr-xr-x 1 root root 5880 Mar 2 2021 zdiff - -rwxr-xr-x 1 root root 29 Mar 2 2021 zegrep - -rwxr-xr-x 1 root root 29 Mar 2 2021 zfgrep - -rwxr-xr-x 1 root root 2081 Mar 2 2021 zforce - -rwxr-xr-x 1 root root 7585 Mar 2 2021 zgrep - -rwxr-xr-x 1 root root 2206 Mar 2 2021 zless - -rwxr-xr-x 1 root root 1842 Mar 2 2021 zmore - -rwxr-xr-x 1 root root 4553 Mar 2 2021 znew -I: user script /srv/workspace/pbuilder/862015/tmp/hooks/D02_print_environment finished + -rwxr-xr-x 1 root root 1234376 Aug 5 2021 bash + -rwxr-xr-x 3 root root 38984 Jul 21 2020 bunzip2 + -rwxr-xr-x 3 root root 38984 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 38984 Jul 21 2020 bzip2 + -rwxr-xr-x 1 root root 18424 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 43936 Sep 24 2020 cat + -rwxr-xr-x 1 root root 72672 Sep 24 2020 chgrp + -rwxr-xr-x 1 root root 64448 Sep 24 2020 chmod + -rwxr-xr-x 1 root root 72672 Sep 24 2020 chown + -rwxr-xr-x 1 root root 151168 Sep 24 2020 cp + -rwxr-xr-x 1 root root 125560 Dec 11 2020 dash + -rwxr-xr-x 1 root root 113664 Sep 24 2020 date + -rwxr-xr-x 1 root root 80968 Sep 24 2020 dd + -rwxr-xr-x 1 root root 93936 Sep 24 2020 df + -rwxr-xr-x 1 root root 147176 Sep 24 2020 dir + -rwxr-xr-x 1 root root 84440 Jul 29 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 39712 Sep 24 2020 echo + -rwxr-xr-x 1 root root 28 Nov 10 2020 egrep + -rwxr-xr-x 1 root root 39680 Sep 24 2020 false + -rwxr-xr-x 1 root root 28 Nov 10 2020 fgrep + -rwxr-xr-x 1 root root 69032 Jul 29 2021 findmnt + -rwsr-xr-x 1 root root 34896 Feb 27 2021 fusermount + -rwxr-xr-x 1 root root 203072 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 98048 Mar 3 2021 gzip + -rwxr-xr-x 1 root root 22600 Nov 8 2019 hostname + -rwxr-xr-x 1 root root 72840 Sep 24 2020 ln + -rwxr-xr-x 1 root root 56952 Feb 8 2020 login + -rwxr-xr-x 1 root root 147176 Sep 24 2020 ls + -rwxr-xr-x 1 root root 149736 Jul 29 2021 lsblk + -rwxr-xr-x 1 root root 85184 Sep 24 2020 mkdir + -rwxr-xr-x 1 root root 76896 Sep 24 2020 mknod + -rwxr-xr-x 1 root root 48064 Sep 24 2020 mktemp + -rwxr-xr-x 1 root root 59632 Jul 29 2021 more + -rwsr-xr-x 1 root root 55528 Jul 29 2021 mount + -rwxr-xr-x 1 root root 18664 Jul 29 2021 mountpoint + -rwxr-xr-x 1 root root 147080 Sep 24 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 43872 Sep 24 2020 pwd + lrwxrwxrwx 1 root root 4 Aug 5 2021 rbash -> bash + -rwxr-xr-x 1 root root 52032 Sep 24 2020 readlink + -rwxr-xr-x 1 root root 72704 Sep 24 2020 rm + -rwxr-xr-x 1 root root 52032 Sep 24 2020 rmdir + -rwxr-xr-x 1 root root 27472 Sep 28 2020 run-parts + -rwxr-xr-x 1 root root 122224 Dec 23 2018 sed + lrwxrwxrwx 1 root root 4 Jan 28 18:22 sh -> bash + lrwxrwxrwx 1 root root 4 Jan 24 05:47 sh.distrib -> dash + -rwxr-xr-x 1 root root 43808 Sep 24 2020 sleep + -rwxr-xr-x 1 root root 84928 Sep 24 2020 stty + -rwsr-xr-x 1 root root 71912 Jul 29 2021 su + -rwxr-xr-x 1 root root 39744 Sep 24 2020 sync + -rwxr-xr-x 1 root root 531928 Feb 17 2021 tar + -rwxr-xr-x 1 root root 14456 Sep 28 2020 tempfile + -rwxr-xr-x 1 root root 101408 Sep 24 2020 touch + -rwxr-xr-x 1 root root 39680 Sep 24 2020 true + -rwxr-xr-x 1 root root 14328 Feb 27 2021 ulockmgr_server + -rwsr-xr-x 1 root root 35040 Jul 29 2021 umount + -rwxr-xr-x 1 root root 39744 Sep 24 2020 uname + -rwxr-xr-x 2 root root 2346 Mar 3 2021 uncompress + -rwxr-xr-x 1 root root 147176 Sep 24 2020 vdir + -rwxr-xr-x 1 root root 63744 Jul 29 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/83977/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy @@ -840,7 +874,7 @@ Get: 555 http://deb.debian.org/debian bullseye/main amd64 python3-tifffile all 20210201-1 [134 kB] Get: 556 http://deb.debian.org/debian bullseye/main amd64 python3-skimage all 0.18.1-2 [20.6 MB] Get: 557 http://deb.debian.org/debian bullseye/main amd64 python3-yaml amd64 5.3.1-5 [138 kB] -Fetched 564 MB in 35s (16.0 MB/s) +Fetched 564 MB in 9s (60.6 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19655 files and directories currently installed.) @@ -3130,7 +3164,8 @@ fakeroot is already the newest version (1.25.3-1.1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package -I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes +hostname: Name or service not known +I: Running cd /build/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes dpkg-buildpackage: info: source package caffe dpkg-buildpackage: info: source version 1.0.0+git20180821.99bd997-8 dpkg-buildpackage: info: source distribution unstable @@ -3267,7 +3302,7 @@ 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 -j15 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 + cd caffe_cpu_build && make -j16 "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 @@ -3309,36 +3344,40 @@ make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o -[ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/blob.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/blob.cpp [ 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 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-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 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, @@ -3359,10 +3398,6 @@ /usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' 13 | BOOST_HEADER_DEPRECATED("") | ^~~~~~~~~~~~~~~~~~~~~~~ -[ 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 CMakeFiles/caffe.dir/layers/contrastive_loss_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/contrastive_loss_layer.cpp [ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/conv_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/conv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/conv_layer.cpp [ 19%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/crop_layer.cpp.o @@ -3371,9 +3406,9 @@ 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 -[ 21%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_lrn_layer.cpp.o [ 23%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_lcn_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_lcn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_lcn_layer.cpp +[ 23%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_lrn_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_lrn_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_lrn_layer.cpp [ 25%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_pooling_layer.cpp @@ -3389,14 +3424,6 @@ cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/data_layer.cpp [ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/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/deconv_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/deconv_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=] [ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dropout_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/dropout_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/dropout_layer.cpp [ 32%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dummy_data_layer.cpp.o @@ -3409,6 +3436,14 @@ 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 @@ -3495,10 +3530,10 @@ 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/tile_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/tile_layer.cpp [ 76%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/window_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/window_data_layer.cpp -[ 76%] Building CXX object src/caffe/CMakeFiles/caffe.dir/net.cpp.o -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/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 +[ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/net.cpp.o +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/net.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp [ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solver.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solver.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp [ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o @@ -3541,11 +3576,6 @@ 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); @@ -3554,6 +3584,11 @@ /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 CMakeFiles/caffe.dir/layers/absval_layer.cpp.o CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o CMakeFiles/caffe.dir/layers/argmax_layer.cpp.o CMakeFiles/caffe.dir/layers/base_conv_layer.cpp.o CMakeFiles/caffe.dir/layers/base_data_layer.cpp.o CMakeFiles/caffe.dir/layers/batch_norm_layer.cpp.o CMakeFiles/caffe.dir/layers/batch_reindex_layer.cpp.o CMakeFiles/caffe.dir/layers/bias_layer.cpp.o CMakeFiles/caffe.dir/layers/bnll_layer.cpp.o CMakeFiles/caffe.dir/layers/clip_layer.cpp.o CMakeFiles/caffe.dir/layers/concat_layer.cpp.o CMakeFiles/caffe.dir/layers/contrastive_loss_layer.cpp.o CMakeFiles/caffe.dir/layers/conv_layer.cpp.o CMakeFiles/caffe.dir/layers/crop_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_conv_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_deconv_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_lcn_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_lrn_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o 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CMakeFiles/caffe.dir/solvers/rmsprop_solver.cpp.o CMakeFiles/caffe.dir/solvers/sgd_solver.cpp.o CMakeFiles/caffe.dir/syncedmem.cpp.o CMakeFiles/caffe.dir/util/benchmark.cpp.o CMakeFiles/caffe.dir/util/blocking_queue.cpp.o CMakeFiles/caffe.dir/util/cudnn.cpp.o CMakeFiles/caffe.dir/util/db.cpp.o CMakeFiles/caffe.dir/util/db_leveldb.cpp.o CMakeFiles/caffe.dir/util/db_lmdb.cpp.o CMakeFiles/caffe.dir/util/hdf5.cpp.o CMakeFiles/caffe.dir/util/im2col.cpp.o CMakeFiles/caffe.dir/util/insert_splits.cpp.o CMakeFiles/caffe.dir/util/io.cpp.o CMakeFiles/caffe.dir/util/math_functions.cpp.o CMakeFiles/caffe.dir/util/signal_handler.cpp.o CMakeFiles/caffe.dir/util/upgrade_proto.cpp.o ../../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lpthread -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb -lsnappy /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 -lblas -lpython3.9 /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 -lpthread /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 @@ -3634,9 +3669,9 @@ make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/test.testbin.dir/all make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend -make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= +make -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]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -3646,22 +3681,22 @@ make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Dependee "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake" is newer than depender "/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/depend.internal". 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". -Scanning dependencies of target gtest [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend -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]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' 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]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 60%] Built target caffe +[ 59%] Built target caffe +Scanning dependencies of target gtest +make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build +make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 60%] 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 In file included from /usr/include/string.h:495, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: @@ -3692,37 +3727,37 @@ 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_batch_norm_layer.cpp.o [ 60%] 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 -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 [ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o +[ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_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 +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 [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o [ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -[ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE 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-DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_layer.cpp -cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.cpp +[ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_crop_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_crop_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_crop_layer.cpp +[ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o [ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_db.cpp.o +cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_data_transformer.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_db.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_db.cpp [ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/caffe-1.0.0+git20180821.99bd997/src -I/build/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_deconvolution_layer.cpp @@ -3859,11 +3894,11 @@ [ 81%] Built target caffe make -f tools/CMakeFiles/upgrade_net_proto_text.dir/build.make tools/CMakeFiles/upgrade_net_proto_text.dir/depend make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend +make[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 -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.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[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 -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/extract_features.dir/DependInfo.cmake --color= @@ -3871,181 +3906,181 @@ 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 tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend +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". +make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.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 tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend -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". 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/upgrade_solver_proto_text.dir/DependInfo.cmake --color= -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/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". +make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend +Scanning dependencies of target upgrade_net_proto_binary +make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' 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". 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-Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/extract_features.dir/extract_features.cpp.o -c /build/caffe-1.0.0+git20180821.99bd997/tools/extract_features.cpp -make[4]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/build -[ 82%] Building CXX object tools/CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build 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/usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 +cd /build/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 +[ 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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Linking CXX executable cifar10/convert_cifar_data cd /build/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_mnist_siamese_data.dir/siamese/convert_mnist_siamese_data.cpp.o -o siamese/convert_mnist_siamese_data ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 /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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 -[ 93%] Linking CXX executable 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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 cd /build/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' [ 93%] Built target convert_mnist_siamese_data -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 +[ 93%] Built target convert_imageset +[ 93%] 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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf 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/usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 +[ 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 +/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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 cd /build/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' -[ 93%] Built target convert_cifar_data +[ 96%] Built target convert_cifar_data make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 93%] Built target compute_image_mean -[ 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/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so 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+cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/caffe.bin.dir/link.txt --verbose=1 +/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so 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/usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 -make[4]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[100%] Built target caffe.bin +[100%] Built target classification make[3]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 make[2]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -11943,7 +11978,7 @@ 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 -j15 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j15 + cd caffe_cpu_build && make -j16 test runtest pytest LD_LIBRARY_PATH=/build/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j16 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 @@ -11960,18 +11995,18 @@ 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]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. +make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: 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]: 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]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 1%] Built target gtest -[ 2%] Built target caffeproto +[ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend +[ 2%] Built target gtest make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/caffe-1.0.0+git20180821.99bd997 /build/caffe-1.0.0+git20180821.99bd997/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -11998,2798 +12033,2798 @@ 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 94128 . +Note: Randomizing tests' orders with a seed of 24371 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. -[----------] 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) - -[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] MVNLayerTest/1.TestGradient -[ OK ] MVNLayerTest/1.TestGradient (466 ms) -[ RUN ] MVNLayerTest/1.TestGradientAcrossChannels -[ OK ] MVNLayerTest/1.TestGradientAcrossChannels (448 ms) -[ RUN ] MVNLayerTest/1.TestGradientMeanOnly -[ OK ] MVNLayerTest/1.TestGradientMeanOnly (153 ms) -[ RUN ] MVNLayerTest/1.TestForwardAcrossChannels -[ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) -[ RUN ] MVNLayerTest/1.TestForwardMeanOnly -[ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) -[ RUN ] MVNLayerTest/1.TestForward -[ OK ] MVNLayerTest/1.TestForward (0 ms) -[----------] 6 tests from MVNLayerTest/1 (1067 ms total) - -[----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass -[ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) -[ RUN ] AccuracyLayerTest/0.TestForward -[ OK ] AccuracyLayerTest/0.TestForward (1 ms) -[ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes -[ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (1 ms) -[ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel -[ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) -[ RUN ] AccuracyLayerTest/0.TestSetup -[ OK ] AccuracyLayerTest/0.TestSetup (0 ms) -[ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel -[ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) -[ RUN ] AccuracyLayerTest/0.TestForwardTopK -[ OK ] AccuracyLayerTest/0.TestForwardTopK (7 ms) -[ RUN ] AccuracyLayerTest/0.TestSetupTopK -[ OK ] AccuracyLayerTest/0.TestSetupTopK (1 ms) -[ RUN ] AccuracyLayerTest/0.TestForwardPerClass -[ OK ] AccuracyLayerTest/0.TestForwardPerClass (0 ms) -[----------] 9 tests from AccuracyLayerTest/0 (11 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 (135 ms) -[----------] 2 tests from BatchReindexLayerTest/1 (135 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) - -[----------] 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 (238 ms) -[ RUN ] ContrastiveLossLayerTest/1.TestGradient -[ OK ] ContrastiveLossLayerTest/1.TestGradient (264 ms) -[ RUN ] ContrastiveLossLayerTest/1.TestForward -[ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) -[----------] 4 tests from ContrastiveLossLayerTest/1 (503 ms total) - -[----------] 3 tests from SyncedMemoryTest -[ RUN ] SyncedMemoryTest.TestAllocationCPU -[ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) -[ RUN ] SyncedMemoryTest.TestInitialization -[ OK ] SyncedMemoryTest.TestInitialization (0 ms) -[ RUN ] SyncedMemoryTest.TestCPUWrite -[ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) -[----------] 3 tests from SyncedMemoryTest (0 ms total) - -[----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] DeconvolutionLayerTest/1.TestGradient -[ OK ] DeconvolutionLayerTest/1.TestGradient (1140 ms) -[ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D -[ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (1736 ms) -[ RUN ] DeconvolutionLayerTest/1.TestGradient3D -[ OK ] DeconvolutionLayerTest/1.TestGradient3D (287 ms) -[ RUN ] DeconvolutionLayerTest/1.TestSetup -[ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) -[ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution -[ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) -[----------] 5 tests from DeconvolutionLayerTest/1 (3164 ms total) - -[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] FlattenLayerTest/1.TestGradient -[ OK ] FlattenLayerTest/1.TestGradient (3 ms) -[ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis -[ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) -[ RUN ] FlattenLayerTest/1.TestSetupWithAxis -[ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) -[ RUN ] FlattenLayerTest/1.TestForward -[ OK ] FlattenLayerTest/1.TestForward (0 ms) -[ RUN ] FlattenLayerTest/1.TestSetup -[ OK ] FlattenLayerTest/1.TestSetup (0 ms) -[ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis -[ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) -[----------] 6 tests from FlattenLayerTest/1 (4 ms total) - -[----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BiasLayerTest/0.TestForwardBias -[ OK ] BiasLayerTest/0.TestForwardBias (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam -[ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (268 ms) -[ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 -[ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (165 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin -[ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 -[ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) -[ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam -[ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd -[ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientBias -[ OK ] BiasLayerTest/0.TestGradientBias (121 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle -[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (251 ms) -[ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace -[ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin -[ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (191 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd -[ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (409 ms) -[ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace -[ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam -[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (4 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam -[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (239 ms) -[ RUN ] BiasLayerTest/0.TestForwardEltwise -[ OK ] BiasLayerTest/0.TestForwardEltwise (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.TestGradientEltwise -[ OK ] BiasLayerTest/0.TestGradientEltwise (4 ms) -[----------] 20 tests from BiasLayerTest/0 (1662 ms total) +[----------] 4 tests from UniformFillerTest/0, where TypeParam = float +[ RUN ] UniformFillerTest/0.TestFill1D +[ OK ] UniformFillerTest/0.TestFill1D (0 ms) +[ RUN ] UniformFillerTest/0.TestFill5D +[ OK ] UniformFillerTest/0.TestFill5D (1 ms) +[ RUN ] UniformFillerTest/0.TestFill2D +[ OK ] UniformFillerTest/0.TestFill2D (0 ms) +[ RUN ] UniformFillerTest/0.TestFill +[ OK ] UniformFillerTest/0.TestFill (0 ms) +[----------] 4 tests from UniformFillerTest/0 (1 ms total) -[----------] 8 tests from SplitLayerInsertionTest -[ RUN ] SplitLayerInsertionTest.TestWithInPlace -[ OK ] SplitLayerInsertionTest.TestWithInPlace (10 ms) -[ RUN ] SplitLayerInsertionTest.TestInsertion -[ OK ] SplitLayerInsertionTest.TestInsertion (1 ms) -[ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace -[ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) -[ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet -[ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (8 ms) -[ RUN ] SplitLayerInsertionTest.TestLossInsertion -[ OK ] SplitLayerInsertionTest.TestLossInsertion (1 ms) -[ RUN ] SplitLayerInsertionTest.TestNoInsertion1 -[ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) -[ RUN ] SplitLayerInsertionTest.TestNoInsertion2 -[ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) -[ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop -[ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) -[----------] 8 tests from SplitLayerInsertionTest (20 ms total) +[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ContrastiveLossLayerTest/0.TestGradient +[ OK ] ContrastiveLossLayerTest/0.TestGradient (217 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy +[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy +[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (208 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestForward +[ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) +[----------] 4 tests from ContrastiveLossLayerTest/0 (425 ms total) -[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxLayerTest/0.TestGradient -[ OK ] SoftmaxLayerTest/0.TestGradient (351 ms) -[ RUN ] SoftmaxLayerTest/0.TestForward -[ OK ] SoftmaxLayerTest/0.TestForward (0 ms) -[----------] 2 tests from SoftmaxLayerTest/0 (351 ms total) +[----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SolverFactoryTest/1.TestCreateSolver +[ OK ] SolverFactoryTest/1.TestCreateSolver (6 ms) +[----------] 1 test from SolverFactoryTest/1 (6 ms total) -[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB -[ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (26 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (44 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainLMDB -[ OK ] DataLayerTest/1.TestReadCropTrainLMDB (20 ms) -[ RUN ] DataLayerTest/1.TestReshapeLMDB -[ OK ] DataLayerTest/1.TestReshapeLMDB (26 ms) -[ RUN ] DataLayerTest/1.TestSkipLMDB -[ OK ] DataLayerTest/1.TestSkipLMDB (266 ms) -[ RUN ] DataLayerTest/1.TestReadLevelDB -[ OK ] DataLayerTest/1.TestReadLevelDB (172 ms) -[ RUN ] DataLayerTest/1.TestSkipLevelDB -[ OK ] DataLayerTest/1.TestSkipLevelDB (276 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (44 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (52 ms) -[ RUN ] DataLayerTest/1.TestReshapeLevelDB -[ OK ] DataLayerTest/1.TestReshapeLevelDB (25 ms) -[ RUN ] DataLayerTest/1.TestReadLMDB -[ OK ] DataLayerTest/1.TestReadLMDB (191 ms) -[ RUN ] DataLayerTest/1.TestReadCropTestLMDB -[ OK ] DataLayerTest/1.TestReadCropTestLMDB (24 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (27 ms) -[ RUN ] DataLayerTest/1.TestReadCropTestLevelDB -[ OK ] DataLayerTest/1.TestReadCropTestLevelDB (2 ms) -[----------] 14 tests from DataLayerTest/1 (1196 ms total) +[----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BatchNormLayerTest/1.TestForwardInplace +[ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) +[ RUN ] BatchNormLayerTest/1.TestForward +[ OK ] BatchNormLayerTest/1.TestForward (0 ms) +[ RUN ] BatchNormLayerTest/1.TestGradient +[ OK ] BatchNormLayerTest/1.TestGradient (228 ms) +[----------] 3 tests from BatchNormLayerTest/1 (228 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) -[----------] 2 tests from EuclideanLossLayerTest/1 (0 ms total) +[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (39 ms) +[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (19 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (186 ms) +[ RUN ] AdamSolverTest/1.TestSnapshot +[ OK ] AdamSolverTest/1.TestSnapshot (52 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (35 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (197 ms) +[ RUN ] AdamSolverTest/1.TestSnapshotShare +[ OK ] AdamSolverTest/1.TestSnapshotShare (73 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (35 ms) +[----------] 8 tests from AdamSolverTest/1 (638 ms total) -[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] Im2colLayerTest/1.TestDilatedGradient -[ OK ] Im2colLayerTest/1.TestDilatedGradient (2297 ms) -[ RUN ] Im2colLayerTest/1.TestSetup -[ OK ] Im2colLayerTest/1.TestSetup (0 ms) -[ RUN ] Im2colLayerTest/1.TestRectGradient -[ OK ] Im2colLayerTest/1.TestRectGradient (704 ms) -[ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND -[ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (3991 ms) -[ RUN ] Im2colLayerTest/1.TestForward -[ OK ] Im2colLayerTest/1.TestForward (0 ms) -[ RUN ] Im2colLayerTest/1.TestGradient -[ OK ] Im2colLayerTest/1.TestGradient (951 ms) -[ RUN ] Im2colLayerTest/1.TestGradientForceND -[ OK ] Im2colLayerTest/1.TestGradientForceND (1729 ms) -[ RUN ] Im2colLayerTest/1.TestRect -[ OK ] Im2colLayerTest/1.TestRect (0 ms) -[----------] 8 tests from Im2colLayerTest/1 (9681 ms total) +[----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NetTest/0.TestForcePropagateDown +[ OK ] NetTest/0.TestForcePropagateDown (5 ms) +[ RUN ] NetTest/0.TestLossWeightMidNet +[ OK ] NetTest/0.TestLossWeightMidNet (7 ms) +[ RUN ] NetTest/0.TestUnsharedWeightsDiffNet +[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) +[ RUN ] NetTest/0.TestReshape +[ OK ] NetTest/0.TestReshape (1 ms) +[ RUN ] NetTest/0.TestSkipPropagateDown +[ OK ] NetTest/0.TestSkipPropagateDown (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardTricky +[ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) +[ RUN ] NetTest/0.TestGetLayerByName +[ OK ] NetTest/0.TestGetLayerByName (5 ms) +[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer +[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (2 ms) +[ RUN ] NetTest/0.TestAllInOneNetDeploy +[ OK ] NetTest/0.TestAllInOneNetDeploy (0 ms) +[ RUN ] NetTest/0.TestSharedWeightsDataNet +[ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardForce +[ OK ] NetTest/0.TestBottomNeedBackwardForce (9 ms) +[ RUN ] NetTest/0.TestSharedWeightsDiffNet +[ OK ] NetTest/0.TestSharedWeightsDiffNet (0 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce +[ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (0 ms) +[ RUN ] NetTest/0.TestAllInOneNetTrain +[ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) +[ RUN ] NetTest/0.TestLossWeight +[ OK ] NetTest/0.TestLossWeight (7 ms) +[ RUN ] NetTest/0.TestFromTo +[ OK ] NetTest/0.TestFromTo (6 ms) +[ RUN ] NetTest/0.TestGetBlob +[ OK ] NetTest/0.TestGetBlob (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackward +[ OK ] NetTest/0.TestBottomNeedBackward (1 ms) +[ RUN ] NetTest/0.TestUnsharedWeightsDataNet +[ OK ] NetTest/0.TestUnsharedWeightsDataNet (0 ms) +[ RUN ] NetTest/0.TestHasLayer +[ OK ] NetTest/0.TestHasLayer (1 ms) +[ RUN ] NetTest/0.TestSharedWeightsResume +[ OK ] NetTest/0.TestSharedWeightsResume (1 ms) +[ RUN ] NetTest/0.TestAllInOneNetVal +[ OK ] NetTest/0.TestAllInOneNetVal (9 ms) +[ RUN ] NetTest/0.TestSharedWeightsUpdate +[ OK ] NetTest/0.TestSharedWeightsUpdate (1 ms) +[ RUN ] NetTest/0.TestParamPropagateDown +[ OK ] NetTest/0.TestParamPropagateDown (2 ms) +[ RUN ] NetTest/0.TestComboLossWeight +[ OK ] NetTest/0.TestComboLossWeight (7 ms) +[ RUN ] NetTest/0.TestHasBlob +[ OK ] NetTest/0.TestHasBlob (1 ms) +[----------] 26 tests from NetTest/0 (72 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] MaxPoolingDropoutTest/1.TestForward -[ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) +[ RUN ] MaxPoolingDropoutTest/1.TestForward +[ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestBackward [ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [----------] 3 tests from MaxPoolingDropoutTest/1 (0 ms total) -[----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] InnerProductLayerTest/1.TestGradient -[ OK ] InnerProductLayerTest/1.TestGradient (509 ms) -[ RUN ] InnerProductLayerTest/1.TestForward -[ OK ] InnerProductLayerTest/1.TestForward (0 ms) -[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue -[ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) -[ RUN ] InnerProductLayerTest/1.TestForwardNoBatch -[ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) -[ RUN ] InnerProductLayerTest/1.TestSetUp -[ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) -[ RUN ] InnerProductLayerTest/1.TestGradientTranspose -[ OK ] InnerProductLayerTest/1.TestGradientTranspose (512 ms) -[ RUN ] InnerProductLayerTest/1.TestBackwardTranspose -[ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) -[ RUN ] InnerProductLayerTest/1.TestForwardTranspose -[ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) -[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse -[ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) -[----------] 9 tests from InnerProductLayerTest/1 (1029 ms total) - -[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (19 ms) -[ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) -[ RUN ] SoftmaxWithLossLayerTest/1.TestGradient -[ OK ] SoftmaxWithLossLayerTest/1.TestGradient (28 ms) -[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized -[ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (31 ms) -[----------] 4 tests from SoftmaxWithLossLayerTest/1 (87 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 (9 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUTopK -[ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPU -[ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK -[ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (130 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK -[ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (124 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal -[ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal -[ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (0 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUAxis -[ OK ] ArgMaxLayerTest/0.TestCPUAxis (32 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK -[ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal -[ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (9 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetup -[ OK ] ArgMaxLayerTest/0.TestSetup (1 ms) -[----------] 12 tests from ArgMaxLayerTest/0 (310 ms total) - -[----------] 4 tests from GaussianFillerTest/1, where TypeParam = double -[ RUN ] GaussianFillerTest/1.TestFill2D -[ OK ] GaussianFillerTest/1.TestFill2D (0 ms) -[ RUN ] GaussianFillerTest/1.TestFill5D -[ OK ] GaussianFillerTest/1.TestFill5D (1 ms) -[ RUN ] GaussianFillerTest/1.TestFill1D -[ OK ] GaussianFillerTest/1.TestFill1D (0 ms) -[ RUN ] GaussianFillerTest/1.TestFill -[ OK ] GaussianFillerTest/1.TestFill (0 ms) -[----------] 4 tests from GaussianFillerTest/1 (1 ms total) - -[----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] EmbedLayerTest/1.TestGradientWithBias -[ OK ] EmbedLayerTest/1.TestGradientWithBias (55 ms) -[ RUN ] EmbedLayerTest/1.TestSetUp -[ OK ] EmbedLayerTest/1.TestSetUp (0 ms) -[ RUN ] EmbedLayerTest/1.TestGradient -[ OK ] EmbedLayerTest/1.TestGradient (37 ms) -[ RUN ] EmbedLayerTest/1.TestForwardWithBias -[ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) -[ RUN ] EmbedLayerTest/1.TestForward -[ OK ] EmbedLayerTest/1.TestForward (0 ms) -[----------] 5 tests from EmbedLayerTest/1 (92 ms total) - -[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) -[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (33 ms) -[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized -[ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (21 ms) -[ RUN ] SoftmaxWithLossLayerTest/0.TestGradient -[ OK ] SoftmaxWithLossLayerTest/0.TestGradient (25 ms) -[----------] 4 tests from SoftmaxWithLossLayerTest/0 (80 ms total) - -[----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] PoolingLayerTest/0.TestSetup -[ OK ] PoolingLayerTest/0.TestSetup (0 ms) -[ RUN ] PoolingLayerTest/0.TestForwardAve -[ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) -[ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling -[ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) -[ RUN ] PoolingLayerTest/0.TestForwardMaxPadded -[ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientMax -[ OK ] PoolingLayerTest/0.TestGradientMax (2007 ms) -[ RUN ] PoolingLayerTest/0.TestSetupPadded -[ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask -[ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (1533 ms) -[ RUN ] PoolingLayerTest/0.TestForwardMax -[ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) -[ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask -[ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientAvePadded -[ OK ] PoolingLayerTest/0.TestGradientAvePadded (2338 ms) -[ RUN ] PoolingLayerTest/0.TestGradientAve -[ OK ] PoolingLayerTest/0.TestGradientAve (594 ms) -[----------] 11 tests from PoolingLayerTest/0 (6479 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.TestSumGradient -[ OK ] EltwiseLayerTest/1.TestSumGradient (18 ms) -[ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient -[ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (10 ms) -[ RUN ] EltwiseLayerTest/1.TestMaxGradient -[ OK ] EltwiseLayerTest/1.TestMaxGradient (15 ms) -[ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient -[ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (10 ms) -[ RUN ] EltwiseLayerTest/1.TestStableProdGradient -[ OK ] EltwiseLayerTest/1.TestStableProdGradient (10 ms) -[ RUN ] EltwiseLayerTest/1.TestSum -[ OK ] EltwiseLayerTest/1.TestSum (0 ms) -[ RUN ] EltwiseLayerTest/1.TestSetUp -[ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) -[ RUN ] EltwiseLayerTest/1.TestMax -[ OK ] EltwiseLayerTest/1.TestMax (0 ms) -[----------] 10 tests from EltwiseLayerTest/1 (68 ms total) - -[----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SolverTest/1.TestInitTrainTestNets -[ OK ] SolverTest/1.TestInitTrainTestNets (2 ms) -[----------] 1 test from SolverTest/1 (2 ms total) - -[----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace -[ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBias -[ OK ] BiasLayerTest/1.TestForwardBias (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd -[ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (312 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin -[ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (161 ms) -[ RUN ] BiasLayerTest/1.TestForwardEltwise -[ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam -[ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (507 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam -[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (250 ms) -[ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientEltwise -[ OK ] BiasLayerTest/1.TestGradientEltwise (8 ms) -[ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam -[ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd -[ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace -[ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBias -[ OK ] BiasLayerTest/1.TestGradientBias (217 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin -[ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 -[ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 -[ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (216 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle -[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (252 ms) -[----------] 20 tests from BiasLayerTest/1 (1944 ms total) +[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BenchmarkTest/1.TestTimerStart +[ OK ] BenchmarkTest/1.TestTimerStart (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerSeconds +[ OK ] BenchmarkTest/1.TestTimerSeconds (304 ms) +[ RUN ] BenchmarkTest/1.TestTimerMilliSeconds +[ OK ] BenchmarkTest/1.TestTimerMilliSeconds (304 ms) +[ RUN ] BenchmarkTest/1.TestTimerConstructor +[ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerStop +[ OK ] BenchmarkTest/1.TestTimerStop (0 ms) +[----------] 5 tests from BenchmarkTest/1 (608 ms total) -[----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] NesterovSolverTest/1.TestSnapshot -[ OK ] NesterovSolverTest/1.TestSnapshot (72 ms) -[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (14 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (171 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (187 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (34 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (68 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (178 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (38 ms) -[ RUN ] NesterovSolverTest/1.TestSnapshotShare -[ OK ] NesterovSolverTest/1.TestSnapshotShare (71 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (33 ms) -[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (169 ms) -[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) -[----------] 12 tests from NesterovSolverTest/1 (1039 ms total) +[----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] PowerLayerTest/1.TestPowerGradient +[ OK ] PowerLayerTest/1.TestPowerGradient (3 ms) +[ RUN ] PowerLayerTest/1.TestPower +[ OK ] PowerLayerTest/1.TestPower (1 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwo +[ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero +[ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (7 ms) +[ RUN ] PowerLayerTest/1.TestPowerZero +[ OK ] PowerLayerTest/1.TestPowerZero (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerZeroGradient +[ OK ] PowerLayerTest/1.TestPowerZeroGradient (6 ms) +[ RUN ] PowerLayerTest/1.TestPowerOne +[ OK ] PowerLayerTest/1.TestPowerOne (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient +[ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (8 ms) +[ RUN ] PowerLayerTest/1.TestPowerOneGradient +[ OK ] PowerLayerTest/1.TestPowerOneGradient (2 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwoGradient +[ OK ] PowerLayerTest/1.TestPowerTwoGradient (11 ms) +[----------] 10 tests from PowerLayerTest/1 (38 ms total) -[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5DataLayerTest/0.TestRead -[ OK ] HDF5DataLayerTest/0.TestRead (38 ms) -[ RUN ] HDF5DataLayerTest/0.TestSkip -[ OK ] HDF5DataLayerTest/0.TestSkip (47 ms) -[----------] 2 tests from HDF5DataLayerTest/0 (85 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) -[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ConvolutionLayerTest/1.TestSobelConvolution -[ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution -[ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/1.Test0DConvolution -[ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/1.TestGradient3D -[ OK ] ConvolutionLayerTest/1.TestGradient3D (1474 ms) -[ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D -[ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (931 ms) -[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup -[ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) -[ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution -[ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (25 ms) -[ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution -[ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (2 ms) -[ RUN ] ConvolutionLayerTest/1.TestGradient -[ OK ] ConvolutionLayerTest/1.TestGradient (153 ms) -[ RUN ] ConvolutionLayerTest/1.Test1x1Convolution -[ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) -[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution -[ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/1.TestGradientGroup -[ OK ] ConvolutionLayerTest/1.TestGradientGroup (37 ms) -[ RUN ] ConvolutionLayerTest/1.TestDilatedGradient -[ OK ] ConvolutionLayerTest/1.TestDilatedGradient (32 ms) -[ RUN ] ConvolutionLayerTest/1.TestSetup -[ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) -[ RUN ] ConvolutionLayerTest/1.Test1x1Gradient -[ OK ] ConvolutionLayerTest/1.Test1x1Gradient (1211 ms) -[----------] 15 tests from ConvolutionLayerTest/1 (3883 ms total) +[----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (32 ms) +[ RUN ] AdaGradSolverTest/0.TestSnapshotShare +[ OK ] AdaGradSolverTest/0.TestSnapshotShare (49 ms) +[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) +[ RUN ] AdaGradSolverTest/0.TestSnapshot +[ OK ] AdaGradSolverTest/0.TestSnapshot (23 ms) +[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (64 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (69 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (13 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (12 ms) +[----------] 9 tests from AdaGradSolverTest/0 (272 ms total) -[----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] TanHLayerTest/0.TestTanHOverflow -[ OK ] TanHLayerTest/0.TestTanHOverflow (1 ms) -[ RUN ] TanHLayerTest/0.TestTanHGradient -[ OK ] TanHLayerTest/0.TestTanHGradient (6 ms) -[ RUN ] TanHLayerTest/0.TestTanH -[ OK ] TanHLayerTest/0.TestTanH (0 ms) -[----------] 3 tests from TanHLayerTest/0 (7 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) -[----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform -[ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 -[ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (1 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 -[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform -[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) -[----------] 11 tests from RandomNumberGeneratorTest/1 (3 ms total) +[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SliceLayerTest/0.TestSetupNum +[ OK ] SliceLayerTest/0.TestSetupNum (0 ms) +[ RUN ] SliceLayerTest/0.TestSliceAcrossChannels +[ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) +[ RUN ] SliceLayerTest/0.TestTrivialSlice +[ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) +[ RUN ] SliceLayerTest/0.TestGradientAcrossChannels +[ OK ] SliceLayerTest/0.TestGradientAcrossChannels (44 ms) +[ RUN ] SliceLayerTest/0.TestSetupChannels +[ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) +[ RUN ] SliceLayerTest/0.TestGradientAcrossNum +[ OK ] SliceLayerTest/0.TestGradientAcrossNum (39 ms) +[ RUN ] SliceLayerTest/0.TestGradientTrivial +[ OK ] SliceLayerTest/0.TestGradientTrivial (10 ms) +[ RUN ] SliceLayerTest/0.TestSliceAcrossNum +[ OK ] SliceLayerTest/0.TestSliceAcrossNum (1 ms) +[----------] 8 tests from SliceLayerTest/0 (95 ms total) -[----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double -[ RUN ] PositiveUnitballFillerTest/1.TestFill5D -[ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) -[ RUN ] PositiveUnitballFillerTest/1.TestFill -[ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) -[ RUN ] PositiveUnitballFillerTest/1.TestFill1D -[ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) -[ RUN ] PositiveUnitballFillerTest/1.TestFill2D -[ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) -[----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) +[----------] 12 tests from DataTransformTest/0, where TypeParam = float +[ RUN ] DataTransformTest/0.TestMeanFile +[ OK ] DataTransformTest/0.TestMeanFile (0 ms) +[ RUN ] DataTransformTest/0.TestMirrorTest +[ OK ] DataTransformTest/0.TestMirrorTest (0 ms) +[ RUN ] DataTransformTest/0.TestCropTrain +[ OK ] DataTransformTest/0.TestCropTrain (0 ms) +[ RUN ] DataTransformTest/0.TestMirrorTrain +[ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) +[ RUN ] DataTransformTest/0.TestMeanValues +[ OK ] DataTransformTest/0.TestMeanValues (0 ms) +[ RUN ] DataTransformTest/0.TestCropMirrorTrain +[ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) +[ RUN ] DataTransformTest/0.TestCropSize +[ OK ] DataTransformTest/0.TestCropSize (0 ms) +[ RUN ] DataTransformTest/0.TestCropTest +[ OK ] DataTransformTest/0.TestCropTest (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.TestMeanValue +[ OK ] DataTransformTest/0.TestMeanValue (0 ms) +[ RUN ] DataTransformTest/0.TestCropMirrorTest +[ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) +[----------] 12 tests from DataTransformTest/0 (0 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 (3 ms) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) +[----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float +[ RUN ] CPUMathFunctionsTest/0.TestNothing +[ OK ] CPUMathFunctionsTest/0.TestNothing (3 ms) +[ RUN ] CPUMathFunctionsTest/0.TestCopy +[ OK ] CPUMathFunctionsTest/0.TestCopy (2 ms) +[ RUN ] CPUMathFunctionsTest/0.TestSgnbit +[ OK ] CPUMathFunctionsTest/0.TestSgnbit (4 ms) +[ RUN ] CPUMathFunctionsTest/0.TestFabs +[ OK ] CPUMathFunctionsTest/0.TestFabs (3 ms) +[ RUN ] CPUMathFunctionsTest/0.TestAsum +[ OK ] CPUMathFunctionsTest/0.TestAsum (2 ms) +[ RUN ] CPUMathFunctionsTest/0.TestScale +[ OK ] CPUMathFunctionsTest/0.TestScale (3 ms) +[ RUN ] CPUMathFunctionsTest/0.TestSign +[ OK ] CPUMathFunctionsTest/0.TestSign (3 ms) +[----------] 7 tests from CPUMathFunctionsTest/0 (21 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 (221 ms) -[ RUN ] BatchNormLayerTest/1.TestForwardInplace -[ OK ] BatchNormLayerTest/1.TestForwardInplace (1 ms) -[----------] 3 tests from BatchNormLayerTest/1 (222 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) -[----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] PowerLayerTest/0.TestPowerZeroGradient -[ OK ] PowerLayerTest/0.TestPowerZeroGradient (3 ms) -[ RUN ] PowerLayerTest/0.TestPowerZero -[ OK ] PowerLayerTest/0.TestPowerZero (0 ms) -[ RUN ] PowerLayerTest/0.TestPower -[ OK ] PowerLayerTest/0.TestPower (0 ms) -[ RUN ] PowerLayerTest/0.TestPowerOne -[ OK ] PowerLayerTest/0.TestPowerOne (0 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 (5 ms) -[ RUN ] PowerLayerTest/0.TestPowerOneGradient -[ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms) -[ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient -[ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (4 ms) -[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero -[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (4 ms) -[----------] 10 tests from PowerLayerTest/0 (21 ms total) +[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (16 ms) +[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (15 ms) +[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (72 ms) +[ RUN ] AdaGradSolverTest/1.TestSnapshot +[ OK ] AdaGradSolverTest/1.TestSnapshot (18 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (75 ms) +[ RUN ] AdaGradSolverTest/1.TestSnapshotShare +[ OK ] AdaGradSolverTest/1.TestSnapshotShare (24 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (14 ms) +[----------] 9 tests from AdaGradSolverTest/1 (241 ms total) -[----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) -[ RUN ] RMSPropSolverTest/0.TestSnapshot -[ OK ] RMSPropSolverTest/0.TestSnapshot (22 ms) -[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (18 ms) -[ RUN ] RMSPropSolverTest/0.TestSnapshotShare -[ OK ] RMSPropSolverTest/0.TestSnapshotShare (29 ms) -[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (88 ms) -[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) -[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (90 ms) -[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (86 ms) -[----------] 8 tests from RMSPropSolverTest/0 (345 ms total) +[----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp +[ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) +[ RUN ] LSTMLayerTest/0.TestForward +[ OK ] LSTMLayerTest/0.TestForward (4 ms) +[ RUN ] LSTMLayerTest/0.TestSetUp +[ OK ] LSTMLayerTest/0.TestSetUp (1 ms) +[ RUN ] LSTMLayerTest/0.TestGradient +[ OK ] LSTMLayerTest/0.TestGradient (286 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont +[ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (286 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient +[ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (45 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (5292 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 +[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (694 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont +[ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (48 ms) +[----------] 9 tests from LSTMLayerTest/0 (6657 ms total) [----------] 6 tests from XavierFillerTest/1, where TypeParam = double +[ RUN ] XavierFillerTest/1.TestFillFanIn +[ OK ] XavierFillerTest/1.TestFillFanIn (38 ms) +[ RUN ] XavierFillerTest/1.TestFill2D +[ OK ] XavierFillerTest/1.TestFill2D (0 ms) [ RUN ] XavierFillerTest/1.TestFill5D [ OK ] XavierFillerTest/1.TestFill5D (0 ms) -[ RUN ] XavierFillerTest/1.TestFillFanIn -[ OK ] XavierFillerTest/1.TestFillFanIn (42 ms) [ RUN ] XavierFillerTest/1.TestFillFanOut -[ OK ] XavierFillerTest/1.TestFillFanOut (42 ms) +[ OK ] XavierFillerTest/1.TestFillFanOut (38 ms) [ RUN ] XavierFillerTest/1.TestFillAverage [ OK ] XavierFillerTest/1.TestFillAverage (41 ms) [ RUN ] XavierFillerTest/1.TestFill1D [ OK ] XavierFillerTest/1.TestFill1D (0 ms) -[ RUN ] XavierFillerTest/1.TestFill2D -[ OK ] XavierFillerTest/1.TestFill2D (0 ms) -[----------] 6 tests from XavierFillerTest/1 (127 ms total) - -[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient -[ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeff -[ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanGradient -[ OK ] ReductionLayerTest/1.TestMeanGradient (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.TestSumCoeff -[ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestMean -[ OK ] ReductionLayerTest/1.TestMean (0 ms) -[ RUN ] ReductionLayerTest/1.TestSetUp -[ OK ] ReductionLayerTest/1.TestSetUp (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumGradient -[ OK ] ReductionLayerTest/1.TestAbsSumGradient (2 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeff -[ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquares -[ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSum -[ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (2 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 -[ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (3 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient -[ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSumGradient -[ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSum -[ OK ] ReductionLayerTest/1.TestSum (0 ms) -[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 -[ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (2 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeffGradient -[ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) -[----------] 27 tests from ReductionLayerTest/1 (18 ms total) - -[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BlobMathTest/0.TestScaleData -[ OK ] BlobMathTest/0.TestScaleData (0 ms) -[ RUN ] BlobMathTest/0.TestAsum -[ OK ] BlobMathTest/0.TestAsum (0 ms) -[ RUN ] BlobMathTest/0.TestSumOfSquares -[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) -[----------] 3 tests from BlobMathTest/0 (0 ms total) - -[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd -[ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin -[ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) -[ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias -[ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (159 ms) -[ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace -[ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 -[ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardScale -[ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle -[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (163 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin -[ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (116 ms) -[ RUN ] ScaleLayerTest/1.TestForwardEltwise -[ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam -[ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 -[ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (103 ms) -[ RUN ] ScaleLayerTest/1.TestGradientScale -[ OK ] ScaleLayerTest/1.TestGradientScale (103 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd -[ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (238 ms) -[ RUN ] ScaleLayerTest/1.TestGradientEltwise -[ OK ] ScaleLayerTest/1.TestGradientEltwise (7 ms) -[ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace -[ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (1 ms) -[ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam -[ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (390 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (135 ms) -[----------] 22 tests from ScaleLayerTest/1 (1418 ms total) - -[----------] 4 tests from UniformFillerTest/1, where TypeParam = double -[ RUN ] UniformFillerTest/1.TestFill2D -[ OK ] UniformFillerTest/1.TestFill2D (0 ms) -[ RUN ] UniformFillerTest/1.TestFill5D -[ OK ] UniformFillerTest/1.TestFill5D (0 ms) -[ RUN ] UniformFillerTest/1.TestFill1D -[ OK ] UniformFillerTest/1.TestFill1D (0 ms) -[ RUN ] UniformFillerTest/1.TestFill -[ OK ] UniformFillerTest/1.TestFill (0 ms) -[----------] 4 tests from UniformFillerTest/1 (0 ms total) +[----------] 6 tests from XavierFillerTest/1 (117 ms total) [----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] EuclideanLossLayerTest/0.TestForward -[ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [ RUN ] EuclideanLossLayerTest/0.TestGradient [ OK ] EuclideanLossLayerTest/0.TestGradient (1 ms) +[ RUN ] EuclideanLossLayerTest/0.TestForward +[ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) [----------] 2 tests from EuclideanLossLayerTest/0 (1 ms total) -[----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform -[ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) -[ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform -[ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (1 ms) -[ RUN ] MemoryDataLayerTest/1.TestForward -[ OK ] MemoryDataLayerTest/1.TestForward (47 ms) -[ RUN ] MemoryDataLayerTest/1.TestSetup -[ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) -[ RUN ] MemoryDataLayerTest/1.TestSetBatchSize -[ OK ] MemoryDataLayerTest/1.TestSetBatchSize (6 ms) -[----------] 5 tests from MemoryDataLayerTest/1 (56 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) -[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution -[ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/0.TestGradientGroup -[ OK ] ConvolutionLayerTest/0.TestGradientGroup (28 ms) -[ RUN ] ConvolutionLayerTest/0.TestGradient3D -[ OK ] ConvolutionLayerTest/0.TestGradient3D (825 ms) -[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup -[ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) -[ RUN ] ConvolutionLayerTest/0.Test1x1Gradient -[ OK ] ConvolutionLayerTest/0.Test1x1Gradient (986 ms) -[ RUN ] ConvolutionLayerTest/0.TestSetup -[ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) -[ RUN ] ConvolutionLayerTest/0.TestDilatedGradient -[ OK ] ConvolutionLayerTest/0.TestDilatedGradient (21 ms) -[ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution -[ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/0.Test0DConvolution -[ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/0.Test1x1Convolution -[ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) -[ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D -[ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (449 ms) -[ RUN ] ConvolutionLayerTest/0.TestGradient -[ OK ] ConvolutionLayerTest/0.TestGradient (104 ms) -[ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution -[ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (12 ms) -[ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution -[ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (2 ms) -[ RUN ] ConvolutionLayerTest/0.TestSobelConvolution -[ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) -[----------] 15 tests from ConvolutionLayerTest/0 (2430 ms total) +[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] EltwiseLayerTest/0.TestSum +[ OK ] EltwiseLayerTest/0.TestSum (1 ms) +[ RUN ] EltwiseLayerTest/0.TestSumCoeff +[ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) +[ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient +[ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (4 ms) +[ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient +[ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (5 ms) +[ RUN ] EltwiseLayerTest/0.TestMaxGradient +[ OK ] EltwiseLayerTest/0.TestMaxGradient (4 ms) +[ RUN ] EltwiseLayerTest/0.TestSetUp +[ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) +[ RUN ] EltwiseLayerTest/0.TestMax +[ OK ] EltwiseLayerTest/0.TestMax (0 ms) +[ RUN ] EltwiseLayerTest/0.TestStableProdGradient +[ OK ] EltwiseLayerTest/0.TestStableProdGradient (7 ms) +[ RUN ] EltwiseLayerTest/0.TestProd +[ OK ] EltwiseLayerTest/0.TestProd (0 ms) +[ RUN ] EltwiseLayerTest/0.TestSumGradient +[ OK ] EltwiseLayerTest/0.TestSumGradient (4 ms) +[----------] 10 tests from EltwiseLayerTest/0 (25 ms total) -[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ContrastiveLossLayerTest/0.TestForward -[ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy -[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (230 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy -[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestGradient -[ OK ] ContrastiveLossLayerTest/0.TestGradient (252 ms) -[----------] 4 tests from ContrastiveLossLayerTest/0 (482 ms total) +[----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice +[ 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 (269 ms) +[ RUN ] CropLayerTest/0.TestCropHW +[ OK ] CropLayerTest/0.TestCropHW (0 ms) +[ RUN ] CropLayerTest/0.TestCropAll +[ OK ] CropLayerTest/0.TestCropAll (0 ms) +[ RUN ] CropLayerTest/0.TestCropHWGradient +[ OK ] CropLayerTest/0.TestCropHWGradient (394 ms) +[ RUN ] CropLayerTest/0.TestSetupShapeDefault +[ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) +[ RUN ] CropLayerTest/0.TestCropAllOffset +[ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) +[ RUN ] CropLayerTest/0.TestSetupShapeAll +[ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) +[ RUN ] CropLayerTest/0.TestDimensionsCheck +[ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) +[ RUN ] CropLayerTest/0.TestCrop5DGradient +[ OK ] CropLayerTest/0.TestCrop5DGradient (1835 ms) +[----------] 11 tests from CropLayerTest/0 (2498 ms total) -[----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ThresholdLayerTest/0.Test2 -[ OK ] ThresholdLayerTest/0.Test2 (0 ms) -[ RUN ] ThresholdLayerTest/0.TestSetup -[ OK ] ThresholdLayerTest/0.TestSetup (0 ms) -[ RUN ] ThresholdLayerTest/0.Test -[ OK ] ThresholdLayerTest/0.Test (0 ms) -[----------] 3 tests from ThresholdLayerTest/0 (0 ms total) +[----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float +[ RUN ] PositiveUnitballFillerTest/0.TestFill1D +[ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill +[ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill5D +[ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill2D +[ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) +[----------] 4 tests from PositiveUnitballFillerTest/0 (0 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 (347 ms) -[ RUN ] MVNLayerTest/0.TestForward -[ OK ] MVNLayerTest/0.TestForward (0 ms) -[ RUN ] MVNLayerTest/0.TestGradientMeanOnly -[ OK ] MVNLayerTest/0.TestGradientMeanOnly (139 ms) -[ RUN ] MVNLayerTest/0.TestForwardMeanOnly -[ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) -[ RUN ] MVNLayerTest/0.TestGradientAcrossChannels -[ OK ] MVNLayerTest/0.TestGradientAcrossChannels (371 ms) -[----------] 6 tests from MVNLayerTest/0 (858 ms total) +[----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BatchReindexLayerTest/1.TestGradient +[ OK ] BatchReindexLayerTest/1.TestGradient (117 ms) +[ RUN ] BatchReindexLayerTest/1.TestForward +[ OK ] BatchReindexLayerTest/1.TestForward (0 ms) +[----------] 2 tests from BatchReindexLayerTest/1 (117 ms total) + +[----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] DeconvolutionLayerTest/1.TestSetup +[ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) +[ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution +[ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (1 ms) +[ RUN ] DeconvolutionLayerTest/1.TestGradient +[ OK ] DeconvolutionLayerTest/1.TestGradient (726 ms) +[ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D +[ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (2257 ms) +[ RUN ] DeconvolutionLayerTest/1.TestGradient3D +[ OK ] DeconvolutionLayerTest/1.TestGradient3D (301 ms) +[----------] 5 tests from DeconvolutionLayerTest/1 (3285 ms total) + +[----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] EmbedLayerTest/0.TestGradientWithBias +[ OK ] EmbedLayerTest/0.TestGradientWithBias (20 ms) +[ RUN ] EmbedLayerTest/0.TestGradient +[ OK ] EmbedLayerTest/0.TestGradient (13 ms) +[ RUN ] EmbedLayerTest/0.TestSetUp +[ OK ] EmbedLayerTest/0.TestSetUp (0 ms) +[ RUN ] EmbedLayerTest/0.TestForward +[ OK ] EmbedLayerTest/0.TestForward (0 ms) +[ RUN ] EmbedLayerTest/0.TestForwardWithBias +[ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) +[----------] 5 tests from EmbedLayerTest/0 (33 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) + +[----------] 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 (139 ms) +[----------] 2 tests from BatchReindexLayerTest/0 (139 ms total) [----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (17 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (16 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (100 ms) [ RUN ] NesterovSolverTest/0.TestSnapshot -[ OK ] NesterovSolverTest/0.TestSnapshot (35 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (147 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (61 ms) +[ OK ] NesterovSolverTest/0.TestSnapshot (18 ms) +[ RUN ] NesterovSolverTest/0.TestSnapshotShare +[ OK ] NesterovSolverTest/0.TestSnapshotShare (22 ms) [ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (6 ms) +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (30 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (75 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (152 ms) +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (76 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (153 ms) +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (80 ms) [ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (30 ms) -[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (149 ms) -[ RUN ] NesterovSolverTest/0.TestSnapshotShare -[ OK ] NesterovSolverTest/0.TestSnapshotShare (45 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (29 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (33 ms) -[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) -[----------] 12 tests from NesterovSolverTest/0 (849 ms total) +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (16 ms) +[----------] 12 tests from NesterovSolverTest/0 (457 ms total) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (5 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (1 ms) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (6 ms total) - -[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double -[ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal -[ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (6 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPU -[ OK ] ArgMaxLayerTest/1.TestCPU (2 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK -[ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (84 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUTopK -[ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetup -[ OK ] ArgMaxLayerTest/1.TestSetup (5 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUAxis -[ OK ] ArgMaxLayerTest/1.TestCPUAxis (24 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal -[ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing -[ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK -[ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal -[ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (5 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupAxis -[ OK ] ArgMaxLayerTest/1.TestSetupAxis (0 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK -[ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (82 ms) -[----------] 12 tests from ArgMaxLayerTest/1 (213 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) +[----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5OutputLayerTest/0.TestForward +[ OK ] HDF5OutputLayerTest/0.TestForward (9 ms) +[----------] 1 test from HDF5OutputLayerTest/0 (9 ms total) -[----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SGDSolverTest/0.TestSnapshot -[ OK ] SGDSolverTest/0.TestSnapshot (35 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (159 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (56 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (151 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (149 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (140 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (28 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (28 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (61 ms) -[ RUN ] SGDSolverTest/0.TestSnapshotShare -[ OK ] SGDSolverTest/0.TestSnapshotShare (40 ms) -[----------] 12 tests from SGDSolverTest/0 (864 ms total) +[----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (78 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (80 ms) +[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) +[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ RUN ] RMSPropSolverTest/0.TestSnapshot +[ OK ] RMSPropSolverTest/0.TestSnapshot (17 ms) +[ RUN ] RMSPropSolverTest/0.TestSnapshotShare +[ OK ] RMSPropSolverTest/0.TestSnapshotShare (21 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (76 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (15 ms) +[----------] 8 tests from RMSPropSolverTest/0 (293 ms total) -[----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ImageDataLayerTest/1.TestSpace -[ OK ] ImageDataLayerTest/1.TestSpace (291 ms) -[ RUN ] ImageDataLayerTest/1.TestRead -[ OK ] ImageDataLayerTest/1.TestRead (429 ms) -[ RUN ] ImageDataLayerTest/1.TestResize -[ OK ] ImageDataLayerTest/1.TestResize (311 ms) -[ RUN ] ImageDataLayerTest/1.TestReshape -[ OK ] ImageDataLayerTest/1.TestReshape (187 ms) -[ RUN ] ImageDataLayerTest/1.TestShuffle -[ OK ] ImageDataLayerTest/1.TestShuffle (392 ms) -[----------] 5 tests from ImageDataLayerTest/1 (1610 ms total) +[----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ReshapeLayerTest/0.TestCopyDimensions +[ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes +[ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis +[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified +[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) +[ RUN ] ReshapeLayerTest/0.TestGradient +[ OK ] ReshapeLayerTest/0.TestGradient (3 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenMiddle +[ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) +[ RUN ] ReshapeLayerTest/0.TestForward +[ OK ] ReshapeLayerTest/0.TestForward (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) +[ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape +[ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenValues +[ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) +[----------] 12 tests from ReshapeLayerTest/0 (4 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 (1 ms) -[----------] 2 tests from HingeLossLayerTest/0 (1 ms total) +[----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MaxPoolingDropoutTest/0.TestSetup +[ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) +[ RUN ] MaxPoolingDropoutTest/0.TestBackward +[ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) +[ RUN ] MaxPoolingDropoutTest/0.TestForward +[ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) +[----------] 3 tests from MaxPoolingDropoutTest/0 (0 ms total) -[----------] 3 tests from BlobMathTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BlobMathTest/1.TestSumOfSquares -[ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) -[ RUN ] BlobMathTest/1.TestAsum -[ OK ] BlobMathTest/1.TestAsum (0 ms) -[ RUN ] BlobMathTest/1.TestScaleData -[ OK ] BlobMathTest/1.TestScaleData (0 ms) -[----------] 3 tests from BlobMathTest/1 (0 ms total) +[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis +[ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestGradient +[ OK ] FlattenLayerTest/1.TestGradient (4 ms) +[ RUN ] FlattenLayerTest/1.TestSetup +[ OK ] FlattenLayerTest/1.TestSetup (0 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis +[ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestForward +[ OK ] FlattenLayerTest/1.TestForward (0 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithAxis +[ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) +[----------] 6 tests from FlattenLayerTest/1 (4 ms total) -[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (37 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (36 ms) -[ RUN ] AdamSolverTest/1.TestSnapshotShare -[ OK ] AdamSolverTest/1.TestSnapshotShare (75 ms) -[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (8 ms) -[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (220 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (188 ms) -[ RUN ] AdamSolverTest/1.TestSnapshot -[ OK ] AdamSolverTest/1.TestSnapshot (62 ms) -[----------] 8 tests from AdamSolverTest/1 (637 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.TestRngUniform2 +[ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform +[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform +[ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) +[----------] 11 tests from RandomNumberGeneratorTest/0 (3 ms total) -[----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] CropLayerTest/1.TestCrop5DGradient -[ OK ] CropLayerTest/1.TestCrop5DGradient (3696 ms) -[ RUN ] CropLayerTest/1.TestCropHWGradient -[ OK ] CropLayerTest/1.TestCropHWGradient (920 ms) -[ RUN ] CropLayerTest/1.TestSetupShapeDefault -[ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) -[ RUN ] CropLayerTest/1.TestCropAllOffset -[ OK ] CropLayerTest/1.TestCropAllOffset (1 ms) -[ RUN ] CropLayerTest/1.TestCropAll -[ OK ] CropLayerTest/1.TestCropAll (0 ms) -[ RUN ] CropLayerTest/1.TestCropHW -[ OK ] CropLayerTest/1.TestCropHW (0 ms) -[ RUN ] CropLayerTest/1.TestCrop5D -[ OK ] CropLayerTest/1.TestCrop5D (0 ms) -[ RUN ] CropLayerTest/1.TestSetupShapeAll -[ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) -[ RUN ] CropLayerTest/1.TestDimensionsCheck -[ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) -[ RUN ] CropLayerTest/1.TestCropAllGradient -[ OK ] CropLayerTest/1.TestCropAllGradient (555 ms) -[ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing -[ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) -[----------] 11 tests from CropLayerTest/1 (5172 ms total) +[----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes +[ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel +[ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) +[ RUN ] AccuracyLayerTest/1.TestForward +[ OK ] AccuracyLayerTest/1.TestForward (1 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardPerClass +[ OK ] AccuracyLayerTest/1.TestForwardPerClass (0 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardTopK +[ OK ] AccuracyLayerTest/1.TestForwardTopK (5 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) +[ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass +[ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (1 ms) +[----------] 9 tests from AccuracyLayerTest/1 (8 ms total) -[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SliceLayerTest/0.TestGradientTrivial -[ OK ] SliceLayerTest/0.TestGradientTrivial (21 ms) -[ RUN ] SliceLayerTest/0.TestSliceAcrossNum -[ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) -[ RUN ] SliceLayerTest/0.TestSetupChannels -[ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) -[ RUN ] SliceLayerTest/0.TestGradientAcrossChannels -[ OK ] SliceLayerTest/0.TestGradientAcrossChannels (96 ms) -[ RUN ] SliceLayerTest/0.TestGradientAcrossNum -[ OK ] SliceLayerTest/0.TestGradientAcrossNum (89 ms) -[ RUN ] SliceLayerTest/0.TestSliceAcrossChannels -[ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) -[ RUN ] SliceLayerTest/0.TestTrivialSlice -[ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) -[ RUN ] SliceLayerTest/0.TestSetupNum -[ OK ] SliceLayerTest/0.TestSetupNum (0 ms) -[----------] 8 tests from SliceLayerTest/0 (211 ms total) +[----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] PoolingLayerTest/1.TestForwardAve +[ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMax +[ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) +[ RUN ] PoolingLayerTest/1.TestSetupPadded +[ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) +[ RUN ] PoolingLayerTest/1.TestGradientAvePadded +[ OK ] PoolingLayerTest/1.TestGradientAvePadded (1471 ms) +[ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask +[ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (1032 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask +[ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) +[ RUN ] PoolingLayerTest/1.TestGradientAve +[ OK ] PoolingLayerTest/1.TestGradientAve (318 ms) +[ RUN ] PoolingLayerTest/1.TestSetup +[ OK ] PoolingLayerTest/1.TestSetup (0 ms) +[ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling +[ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMaxPadded +[ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) +[ RUN ] PoolingLayerTest/1.TestGradientMax +[ OK ] PoolingLayerTest/1.TestGradientMax (1047 ms) +[----------] 11 tests from PoolingLayerTest/1 (3868 ms total) -[----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double -[ RUN ] CPUMathFunctionsTest/1.TestAsum -[ OK ] CPUMathFunctionsTest/1.TestAsum (9 ms) -[ RUN ] CPUMathFunctionsTest/1.TestSgnbit -[ OK ] CPUMathFunctionsTest/1.TestSgnbit (10 ms) -[ RUN ] CPUMathFunctionsTest/1.TestCopy -[ OK ] CPUMathFunctionsTest/1.TestCopy (13 ms) -[ RUN ] CPUMathFunctionsTest/1.TestScale -[ OK ] CPUMathFunctionsTest/1.TestScale (9 ms) -[ RUN ] CPUMathFunctionsTest/1.TestFabs -[ OK ] CPUMathFunctionsTest/1.TestFabs (13 ms) -[ RUN ] CPUMathFunctionsTest/1.TestNothing -[ OK ] CPUMathFunctionsTest/1.TestNothing (4 ms) -[ RUN ] CPUMathFunctionsTest/1.TestSign -[ OK ] CPUMathFunctionsTest/1.TestSign (14 ms) -[----------] 7 tests from CPUMathFunctionsTest/1 (72 ms total) +[----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float +[ RUN ] DummyDataLayerTest/0.TestOneTopConstant +[ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant +[ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (1 ms) +[ RUN ] DummyDataLayerTest/0.TestTwoTopConstant +[ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) +[----------] 3 tests from DummyDataLayerTest/0 (1 ms total) -[----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SPPLayerTest/1.TestEqualOutputDims -[ OK ] SPPLayerTest/1.TestEqualOutputDims (1 ms) -[ RUN ] SPPLayerTest/1.TestGradient -[ OK ] SPPLayerTest/1.TestGradient (5082 ms) -[ RUN ] SPPLayerTest/1.TestForwardBackward -[ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) -[ RUN ] SPPLayerTest/1.TestEqualOutputDims2 -[ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) -[ RUN ] SPPLayerTest/1.TestSetup -[ OK ] SPPLayerTest/1.TestSetup (0 ms) -[----------] 5 tests from SPPLayerTest/1 (5083 ms total) +[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LRNLayerTest/0.TestForwardAcrossChannels +[ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) +[ RUN ] LRNLayerTest/0.TestForwardWithinChannel +[ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) +[ RUN ] LRNLayerTest/0.TestSetupWithinChannel +[ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) +[ RUN ] LRNLayerTest/0.TestGradientAcrossChannels +[ OK ] LRNLayerTest/0.TestGradientAcrossChannels (957 ms) +[ RUN ] LRNLayerTest/0.TestSetupAcrossChannels +[ OK ] LRNLayerTest/0.TestSetupAcrossChannels (1 ms) +[ RUN ] LRNLayerTest/0.TestGradientWithinChannel +[ OK ] LRNLayerTest/0.TestGradientWithinChannel (705 ms) +[ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1305 ms) +[----------] 8 tests from LRNLayerTest/0 (2969 ms total) [----------] 4 tests from GaussianFillerTest/0, where TypeParam = float +[ RUN ] GaussianFillerTest/0.TestFill1D +[ OK ] GaussianFillerTest/0.TestFill1D (1 ms) [ RUN ] GaussianFillerTest/0.TestFill2D -[ OK ] GaussianFillerTest/0.TestFill2D (1 ms) +[ OK ] GaussianFillerTest/0.TestFill2D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill5D -[ OK ] GaussianFillerTest/0.TestFill5D (1 ms) +[ OK ] GaussianFillerTest/0.TestFill5D (0 ms) [ RUN ] GaussianFillerTest/0.TestFill -[ OK ] GaussianFillerTest/0.TestFill (0 ms) -[ RUN ] GaussianFillerTest/0.TestFill1D -[ OK ] GaussianFillerTest/0.TestFill1D (0 ms) +[ OK ] GaussianFillerTest/0.TestFill (1 ms) [----------] 4 tests from GaussianFillerTest/0 (2 ms total) -[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LayerFactoryTest/1.TestCreateLayer -[ OK ] LayerFactoryTest/1.TestCreateLayer (1 ms) -[----------] 1 test from LayerFactoryTest/1 (1 ms total) - -[----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float -[ RUN ] CPUMathFunctionsTest/0.TestSgnbit -[ OK ] CPUMathFunctionsTest/0.TestSgnbit (6 ms) -[ RUN ] CPUMathFunctionsTest/0.TestCopy -[ OK ] CPUMathFunctionsTest/0.TestCopy (3 ms) -[ RUN ] CPUMathFunctionsTest/0.TestFabs -[ OK ] CPUMathFunctionsTest/0.TestFabs (4 ms) -[ RUN ] CPUMathFunctionsTest/0.TestSign -[ OK ] CPUMathFunctionsTest/0.TestSign (7 ms) -[ RUN ] CPUMathFunctionsTest/0.TestAsum -[ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) -[ RUN ] CPUMathFunctionsTest/0.TestNothing -[ OK ] CPUMathFunctionsTest/0.TestNothing (4 ms) -[ RUN ] CPUMathFunctionsTest/0.TestScale -[ OK ] CPUMathFunctionsTest/0.TestScale (6 ms) -[----------] 7 tests from CPUMathFunctionsTest/0 (34 ms total) - -[----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5OutputLayerTest/0.TestForward -[ OK ] HDF5OutputLayerTest/0.TestForward (3 ms) -[----------] 1 test from HDF5OutputLayerTest/0 (3 ms total) - -[----------] 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) - -[----------] 6 tests from MSRAFillerTest/0, where TypeParam = float -[ RUN ] MSRAFillerTest/0.TestFill2D -[ OK ] MSRAFillerTest/0.TestFill2D (0 ms) -[ RUN ] MSRAFillerTest/0.TestFillFanOut -[ OK ] MSRAFillerTest/0.TestFillFanOut (69 ms) -[ RUN ] MSRAFillerTest/0.TestFillFanIn -[ OK ] MSRAFillerTest/0.TestFillFanIn (108 ms) -[ RUN ] MSRAFillerTest/0.TestFill5D -[ OK ] MSRAFillerTest/0.TestFill5D (0 ms) -[ RUN ] MSRAFillerTest/0.TestFillAverage -[ OK ] MSRAFillerTest/0.TestFillAverage (134 ms) -[ RUN ] MSRAFillerTest/0.TestFill1D -[ OK ] MSRAFillerTest/0.TestFill1D (0 ms) -[----------] 6 tests from MSRAFillerTest/0 (311 ms total) - -[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5DataLayerTest/1.TestSkip -[ OK ] HDF5DataLayerTest/1.TestSkip (41 ms) -[ RUN ] HDF5DataLayerTest/1.TestRead -[ OK ] HDF5DataLayerTest/1.TestRead (11 ms) -[----------] 2 tests from HDF5DataLayerTest/1 (53 ms total) - [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 +[ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumGradient +[ OK ] ReductionLayerTest/0.TestAbsSumGradient (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient -[ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (2 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff -[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) +[ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) +[ RUN ] ReductionLayerTest/0.TestMean +[ OK ] ReductionLayerTest/0.TestMean (0 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 [ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeff -[ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 -[ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (1 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeff +[ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffGradient [ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient +[ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/0.TestMeanGradient +[ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSum +[ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) +[ RUN ] ReductionLayerTest/0.TestSum +[ OK ] ReductionLayerTest/0.TestSum (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (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.TestSumGradient [ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) -[ RUN ] ReductionLayerTest/0.TestMeanCoeff -[ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 -[ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) -[ RUN ] ReductionLayerTest/0.TestMeanGradient -[ OK ] ReductionLayerTest/0.TestMeanGradient (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumGradient -[ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (2 ms) +[ RUN ] ReductionLayerTest/0.TestSetUp +[ OK ] ReductionLayerTest/0.TestSetUp (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeff +[ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeff [ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestMean -[ OK ] ReductionLayerTest/0.TestMean (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 -[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient -[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSum -[ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient -[ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (0 ms) -[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient -[ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (2 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 -[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/0.TestSetUp -[ OK ] ReductionLayerTest/0.TestSetUp (0 ms) -[ RUN ] ReductionLayerTest/0.TestSum -[ OK ] ReductionLayerTest/0.TestSum (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient -[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) -[----------] 27 tests from ReductionLayerTest/0 (15 ms total) +[----------] 27 tests from ReductionLayerTest/0 (14 ms total) + +[----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (21 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (3 ms) +[ RUN ] DataLayerTest/0.TestSkipLevelDB +[ OK ] DataLayerTest/0.TestSkipLevelDB (25 ms) +[ RUN ] DataLayerTest/0.TestReadLevelDB +[ OK ] DataLayerTest/0.TestReadLevelDB (3 ms) +[ RUN ] DataLayerTest/0.TestReadLMDB +[ OK ] DataLayerTest/0.TestReadLMDB (5 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (2 ms) +[ RUN ] DataLayerTest/0.TestReadCropTestLevelDB +[ OK ] DataLayerTest/0.TestReadCropTestLevelDB (1 ms) +[ RUN ] DataLayerTest/0.TestReadCropTestLMDB +[ OK ] DataLayerTest/0.TestReadCropTestLMDB (2 ms) +[ RUN ] DataLayerTest/0.TestReshapeLevelDB +[ OK ] DataLayerTest/0.TestReshapeLevelDB (1 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (1 ms) +[ RUN ] DataLayerTest/0.TestSkipLMDB +[ OK ] DataLayerTest/0.TestSkipLMDB (28 ms) +[ RUN ] DataLayerTest/0.TestReshapeLMDB +[ OK ] DataLayerTest/0.TestReshapeLMDB (4 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (1 ms) +[----------] 14 tests from DataLayerTest/0 (100 ms total) + +[----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ReshapeLayerTest/1.TestFlattenValues +[ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) +[ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape +[ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) +[ RUN ] ReshapeLayerTest/1.TestCopyDimensions +[ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis +[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (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.TestInferenceOfUnspecified +[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes +[ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) +[ RUN ] ReshapeLayerTest/1.TestForward +[ OK ] ReshapeLayerTest/1.TestForward (0 ms) +[ RUN ] ReshapeLayerTest/1.TestGradient +[ OK ] ReshapeLayerTest/1.TestGradient (3 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenMiddle +[ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) +[----------] 12 tests from ReshapeLayerTest/1 (3 ms total) + +[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ConcatLayerTest/1.TestSetupNum +[ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientChannels +[ OK ] ConcatLayerTest/1.TestGradientChannels (5 ms) +[ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing +[ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) +[ RUN ] ConcatLayerTest/1.TestForwardNum +[ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientNum +[ OK ] ConcatLayerTest/1.TestGradientNum (7 ms) +[ RUN ] ConcatLayerTest/1.TestForwardChannels +[ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) +[ RUN ] ConcatLayerTest/1.TestForwardTrivial +[ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) +[ RUN ] ConcatLayerTest/1.TestSetupChannels +[ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientTrivial +[ OK ] ConcatLayerTest/1.TestGradientTrivial (3 ms) +[ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly +[ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (3 ms) +[----------] 10 tests from ConcatLayerTest/1 (18 ms total) + +[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (7 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradient +[ OK ] SoftmaxWithLossLayerTest/0.TestGradient (8 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized +[ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (7 ms) +[----------] 4 tests from SoftmaxWithLossLayerTest/0 (22 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) + +[----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ImageDataLayerTest/0.TestSpace +[ OK ] ImageDataLayerTest/0.TestSpace (74 ms) +[ RUN ] ImageDataLayerTest/0.TestReshape +[ OK ] ImageDataLayerTest/0.TestReshape (56 ms) +[ RUN ] ImageDataLayerTest/0.TestShuffle +[ OK ] ImageDataLayerTest/0.TestShuffle (174 ms) +[ RUN ] ImageDataLayerTest/0.TestResize +[ OK ] ImageDataLayerTest/0.TestResize (158 ms) +[ RUN ] ImageDataLayerTest/0.TestRead +[ OK ] ImageDataLayerTest/0.TestRead (203 ms) +[----------] 5 tests from ImageDataLayerTest/0 (665 ms total) + +[----------] 4 tests from ConstantFillerTest/1, where TypeParam = double +[ 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) +[ RUN ] ConstantFillerTest/1.TestFill1D +[ OK ] ConstantFillerTest/1.TestFill1D (0 ms) +[----------] 4 tests from ConstantFillerTest/1 (0 ms total) + +[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (1 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle +[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (276 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd +[ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (480 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (129 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin +[ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin +[ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (104 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwise +[ OK ] ScaleLayerTest/0.TestForwardEltwise (1 ms) +[ RUN ] ScaleLayerTest/0.TestForwardScale +[ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 +[ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (99 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScale +[ OK ] ScaleLayerTest/0.TestGradientScale (99 ms) +[ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace +[ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace +[ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 +[ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam +[ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias +[ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (129 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd +[ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) +[ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam +[ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (377 ms) +[ RUN ] ScaleLayerTest/0.TestGradientEltwise +[ OK ] ScaleLayerTest/0.TestGradientEltwise (6 ms) +[----------] 22 tests from ScaleLayerTest/0 (1704 ms total) + +[----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND +[ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (1901 ms) +[ RUN ] Im2colLayerTest/0.TestSetup +[ OK ] Im2colLayerTest/0.TestSetup (0 ms) +[ RUN ] Im2colLayerTest/0.TestForward +[ OK ] Im2colLayerTest/0.TestForward (0 ms) +[ RUN ] Im2colLayerTest/0.TestGradient +[ OK ] Im2colLayerTest/0.TestGradient (323 ms) +[ RUN ] Im2colLayerTest/0.TestRectGradient +[ OK ] Im2colLayerTest/0.TestRectGradient (256 ms) +[ RUN ] Im2colLayerTest/0.TestGradientForceND +[ OK ] Im2colLayerTest/0.TestGradientForceND (553 ms) +[ RUN ] Im2colLayerTest/0.TestDilatedGradient +[ OK ] Im2colLayerTest/0.TestDilatedGradient (1193 ms) +[ RUN ] Im2colLayerTest/0.TestRect +[ OK ] Im2colLayerTest/0.TestRect (0 ms) +[----------] 8 tests from Im2colLayerTest/0 (4226 ms total) + +[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized +[ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (10 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradient +[ OK ] SoftmaxWithLossLayerTest/1.TestGradient (9 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (9 ms) +[----------] 4 tests from SoftmaxWithLossLayerTest/1 (28 ms total) + +[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double +[ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing +[ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxis +[ OK ] ArgMaxLayerTest/1.TestCPUAxis (8 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal +[ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUTopK +[ OK ] ArgMaxLayerTest/1.TestCPUTopK (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal +[ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetup +[ OK ] ArgMaxLayerTest/1.TestSetup (0 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPU +[ OK ] ArgMaxLayerTest/1.TestCPU (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK +[ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK +[ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (32 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal +[ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK +[ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (42 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxis +[ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) +[----------] 12 tests from ArgMaxLayerTest/1 (101 ms total) + +[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BlobMathTest/0.TestAsum +[ OK ] BlobMathTest/0.TestAsum (0 ms) +[ RUN ] BlobMathTest/0.TestScaleData +[ OK ] BlobMathTest/0.TestScaleData (0 ms) +[ RUN ] BlobMathTest/0.TestSumOfSquares +[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) +[----------] 3 tests from BlobMathTest/0 (0 ms total) + +[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (38 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (98 ms) +[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) +[ RUN ] RMSPropSolverTest/1.TestSnapshotShare +[ OK ] RMSPropSolverTest/1.TestSnapshotShare (37 ms) +[ RUN ] RMSPropSolverTest/1.TestSnapshot +[ OK ] RMSPropSolverTest/1.TestSnapshot (36 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (86 ms) +[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (96 ms) +[----------] 8 tests from RMSPropSolverTest/1 (405 ms total) + +[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5DataLayerTest/0.TestSkip +[ OK ] HDF5DataLayerTest/0.TestSkip (34 ms) +[ RUN ] HDF5DataLayerTest/0.TestRead +[ OK ] HDF5DataLayerTest/0.TestRead (8 ms) +[----------] 2 tests from HDF5DataLayerTest/0 (43 ms total) + +[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] DeconvolutionLayerTest/0.TestSetup +[ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) +[ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution +[ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (1 ms) +[ RUN ] DeconvolutionLayerTest/0.TestGradient +[ OK ] DeconvolutionLayerTest/0.TestGradient (1145 ms) +[ RUN ] DeconvolutionLayerTest/0.TestGradient3D +[ OK ] DeconvolutionLayerTest/0.TestGradient3D (308 ms) +[ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D +[ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1334 ms) +[----------] 5 tests from DeconvolutionLayerTest/0 (2788 ms total) + +[----------] 2 tests from BilinearFillerTest/1, where TypeParam = double +[ RUN ] BilinearFillerTest/1.TestFillOdd +[ OK ] BilinearFillerTest/1.TestFillOdd (10 ms) +[ RUN ] BilinearFillerTest/1.TestFillEven +[ OK ] BilinearFillerTest/1.TestFillEven (8 ms) +[----------] 2 tests from BilinearFillerTest/1 (19 ms total) + +[----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (15 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (31 ms) +[ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare +[ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (17 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (70 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (81 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (13 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (80 ms) +[ RUN ] AdaDeltaSolverTest/0.TestSnapshot +[ OK ] AdaDeltaSolverTest/0.TestSnapshot (21 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (36 ms) +[----------] 11 tests from AdaDeltaSolverTest/0 (370 ms total) + +[----------] 2 tests from InternalThreadTest +[ RUN ] InternalThreadTest.TestRandomSeed +[ OK ] InternalThreadTest.TestRandomSeed (50 ms) +[ RUN ] InternalThreadTest.TestStartAndExit +[ OK ] InternalThreadTest.TestStartAndExit (12 ms) +[----------] 2 tests from InternalThreadTest (62 ms total) + +[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (17 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (2 ms) +[ RUN ] DataLayerTest/1.TestReadLevelDB +[ OK ] DataLayerTest/1.TestReadLevelDB (3 ms) +[ RUN ] DataLayerTest/1.TestSkipLMDB +[ OK ] DataLayerTest/1.TestSkipLMDB (131 ms) +[ RUN ] DataLayerTest/1.TestReshapeLevelDB +[ OK ] DataLayerTest/1.TestReshapeLevelDB (2 ms) +[ RUN ] DataLayerTest/1.TestReadCropTestLMDB +[ OK ] DataLayerTest/1.TestReadCropTestLMDB (1 ms) +[ RUN ] DataLayerTest/1.TestReadCropTestLevelDB +[ OK ] DataLayerTest/1.TestReadCropTestLevelDB (1 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainLMDB (1 ms) +[ RUN ] DataLayerTest/1.TestReadLMDB +[ OK ] DataLayerTest/1.TestReadLMDB (3 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (27 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (40 ms) +[ RUN ] DataLayerTest/1.TestSkipLevelDB +[ OK ] DataLayerTest/1.TestSkipLevelDB (312 ms) +[ RUN ] DataLayerTest/1.TestReshapeLMDB +[ OK ] DataLayerTest/1.TestReshapeLMDB (32 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (24 ms) +[----------] 14 tests from DataLayerTest/1 (596 ms total) [----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] NeuronLayerTest/1.TestClip -[ OK ] NeuronLayerTest/1.TestClip (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 -[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestReLUGradient +[ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradient +[ OK ] NeuronLayerTest/1.TestLogGradient (11 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUForward +[ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) +[ RUN ] NeuronLayerTest/1.TestELUasReLUGradient +[ OK ] NeuronLayerTest/1.TestELUasReLUGradient (2 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerWithShift [ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) -[ RUN ] NeuronLayerTest/1.TestReLU -[ OK ] NeuronLayerTest/1.TestReLU (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUGradient -[ OK ] NeuronLayerTest/1.TestPReLUGradient (164 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradient -[ OK ] NeuronLayerTest/1.TestLogGradient (6 ms) -[ RUN ] NeuronLayerTest/1.TestSigmoid -[ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishWithBeta -[ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerBase2 -[ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (5 ms) -[ RUN ] NeuronLayerTest/1.TestTanHGradient -[ OK ] NeuronLayerTest/1.TestTanHGradient (5 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2 (3 ms) -[ RUN ] NeuronLayerTest/1.TestELUGradient -[ OK ] NeuronLayerTest/1.TestELUGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestBNLLGradient -[ OK ] NeuronLayerTest/1.TestBNLLGradient (5 ms) -[ RUN ] NeuronLayerTest/1.TestAbsVal -[ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishGradient +[ OK ] NeuronLayerTest/1.TestSwishGradient (13 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradient +[ OK ] NeuronLayerTest/1.TestExpGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestELUasReLU +[ OK ] NeuronLayerTest/1.TestELUasReLU (1 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (11 ms) +[ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient +[ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (9 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) [ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU [ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwish -[ OK ] NeuronLayerTest/1.TestSwish (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient -[ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (6 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradient -[ OK ] NeuronLayerTest/1.TestExpGradient (3 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared -[ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestSigmoidGradient +[ OK ] NeuronLayerTest/1.TestSigmoidGradient (13 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient [ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayer -[ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutGradient -[ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared +[ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (167 ms) +[ RUN ] NeuronLayerTest/1.TestClip +[ OK ] NeuronLayerTest/1.TestClip (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientWithShift +[ OK ] NeuronLayerTest/1.TestExpGradientWithShift (3 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestELUGradient +[ OK ] NeuronLayerTest/1.TestELUGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestAbsVal +[ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUParam +[ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2 (4 ms) [ RUN ] NeuronLayerTest/1.TestExpLayer [ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwish +[ OK ] NeuronLayerTest/1.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2 (3 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (3 ms) [ RUN ] NeuronLayerTest/1.TestClipGradient -[ OK ] NeuronLayerTest/1.TestClipGradient (2 ms) +[ OK ] NeuronLayerTest/1.TestClipGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutGradient +[ OK ] NeuronLayerTest/1.TestDropoutGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared +[ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutTestPhase +[ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/1.TestTanH +[ OK ] NeuronLayerTest/1.TestTanH (1 ms) +[ RUN ] NeuronLayerTest/1.TestELU +[ OK ] NeuronLayerTest/1.TestELU (0 ms) +[ RUN ] NeuronLayerTest/1.TestBNLLGradient +[ OK ] NeuronLayerTest/1.TestBNLLGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUGradient +[ OK ] NeuronLayerTest/1.TestPReLUGradient (142 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters +[ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) +[ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope +[ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) [ RUN ] NeuronLayerTest/1.TestSwishAsLinear [ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope -[ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (2 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (3 ms) +[ RUN ] NeuronLayerTest/1.TestTanHGradient +[ OK ] NeuronLayerTest/1.TestTanHGradient (6 ms) [ RUN ] NeuronLayerTest/1.TestPReLUInPlace [ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) [ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (4 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutHalf -[ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutGradientTest -[ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) -[ RUN ] NeuronLayerTest/1.TestELU -[ OK ] NeuronLayerTest/1.TestELU (0 ms) +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (3 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayer +[ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) [ RUN ] NeuronLayerTest/1.TestBNLL [ OK ] NeuronLayerTest/1.TestBNLL (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishWithBeta +[ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) +[ RUN ] NeuronLayerTest/1.TestReLU +[ OK ] NeuronLayerTest/1.TestReLU (0 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutTestPhase -[ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared -[ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (211 ms) -[ RUN ] NeuronLayerTest/1.TestAbsGradient -[ OK ] NeuronLayerTest/1.TestAbsGradient (6 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUParam -[ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUForward -[ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) -[ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope -[ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) -[ RUN ] NeuronLayerTest/1.TestSigmoidGradient -[ OK ] NeuronLayerTest/1.TestSigmoidGradient (8 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2 (6 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters -[ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientWithShift -[ OK ] NeuronLayerTest/1.TestExpGradientWithShift (7 ms) -[ RUN ] NeuronLayerTest/1.TestTanH -[ OK ] NeuronLayerTest/1.TestTanH (0 ms) -[ RUN ] NeuronLayerTest/1.TestELUasReLU -[ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (6 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (3 ms) [ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 [ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestReLUGradient -[ OK ] NeuronLayerTest/1.TestReLUGradient (3 ms) -[ RUN ] NeuronLayerTest/1.TestSwishGradient -[ OK ] NeuronLayerTest/1.TestSwishGradient (5 ms) -[ RUN ] NeuronLayerTest/1.TestELUasReLUGradient -[ OK ] NeuronLayerTest/1.TestELUasReLUGradient (3 ms) -[----------] 58 tests from NeuronLayerTest/1 (480 ms total) - -[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] TileLayerTest/1.TestGradientNum -[ OK ] TileLayerTest/1.TestGradientNum (382 ms) -[ RUN ] TileLayerTest/1.TestGradientChannels -[ OK ] TileLayerTest/1.TestGradientChannels (350 ms) -[ RUN ] TileLayerTest/1.TestSetup -[ OK ] TileLayerTest/1.TestSetup (0 ms) -[ RUN ] TileLayerTest/1.TestTrivialSetup -[ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) -[ RUN ] TileLayerTest/1.TestForwardChannels -[ OK ] TileLayerTest/1.TestForwardChannels (0 ms) -[ RUN ] TileLayerTest/1.TestForwardNum -[ OK ] TileLayerTest/1.TestForwardNum (1 ms) -[ RUN ] TileLayerTest/1.TestTrivialGradient -[ OK ] TileLayerTest/1.TestTrivialGradient (91 ms) -[----------] 7 tests from TileLayerTest/1 (824 ms total) +[ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope +[ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutGradientTest +[ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (3 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutHalf +[ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) +[ RUN ] NeuronLayerTest/1.TestAbsGradient +[ OK ] NeuronLayerTest/1.TestAbsGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestSigmoid +[ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) +[----------] 58 tests from NeuronLayerTest/1 (430 ms total) -[----------] 6 tests from MSRAFillerTest/1, where TypeParam = double -[ RUN ] MSRAFillerTest/1.TestFillFanOut -[ OK ] MSRAFillerTest/1.TestFillFanOut (96 ms) -[ RUN ] MSRAFillerTest/1.TestFill1D -[ OK ] MSRAFillerTest/1.TestFill1D (0 ms) -[ RUN ] MSRAFillerTest/1.TestFillAverage -[ OK ] MSRAFillerTest/1.TestFillAverage (98 ms) -[ RUN ] MSRAFillerTest/1.TestFill2D -[ OK ] MSRAFillerTest/1.TestFill2D (0 ms) -[ RUN ] MSRAFillerTest/1.TestFill5D -[ OK ] MSRAFillerTest/1.TestFill5D (0 ms) -[ RUN ] MSRAFillerTest/1.TestFillFanIn -[ OK ] MSRAFillerTest/1.TestFillFanIn (95 ms) -[----------] 6 tests from MSRAFillerTest/1 (290 ms total) +[----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ConcatLayerTest/0.TestSetupChannels +[ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) +[ RUN ] ConcatLayerTest/0.TestForwardTrivial +[ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) +[ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly +[ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (3 ms) +[ RUN ] ConcatLayerTest/0.TestForwardChannels +[ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) +[ RUN ] ConcatLayerTest/0.TestGradientChannels +[ OK ] ConcatLayerTest/0.TestGradientChannels (4 ms) +[ RUN ] ConcatLayerTest/0.TestForwardNum +[ OK ] ConcatLayerTest/0.TestForwardNum (1 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 (3 ms) +[ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing +[ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) +[----------] 10 tests from ConcatLayerTest/0 (17 ms total) -[----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ImageDataLayerTest/0.TestSpace -[ OK ] ImageDataLayerTest/0.TestSpace (92 ms) -[ RUN ] ImageDataLayerTest/0.TestRead -[ OK ] ImageDataLayerTest/0.TestRead (390 ms) -[ RUN ] ImageDataLayerTest/0.TestResize -[ OK ] ImageDataLayerTest/0.TestResize (270 ms) -[ RUN ] ImageDataLayerTest/0.TestReshape -[ OK ] ImageDataLayerTest/0.TestReshape (90 ms) -[ RUN ] ImageDataLayerTest/0.TestShuffle -[ OK ] ImageDataLayerTest/0.TestShuffle (315 ms) -[----------] 5 tests from ImageDataLayerTest/0 (1157 ms total) +[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LayerFactoryTest/0.TestCreateLayer +[ OK ] LayerFactoryTest/0.TestCreateLayer (1 ms) +[----------] 1 test from LayerFactoryTest/0 (1 ms total) -[----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB -[ RUN ] DBTest/1.TestSeekToFirst -[ OK ] DBTest/1.TestSeekToFirst (69 ms) -[ RUN ] DBTest/1.TestKeyValue -[ OK ] DBTest/1.TestKeyValue (38 ms) -[ RUN ] DBTest/1.TestWrite -[ OK ] DBTest/1.TestWrite (27 ms) -[ RUN ] DBTest/1.TestGetDB -[ OK ] DBTest/1.TestGetDB (22 ms) -[ RUN ] DBTest/1.TestNext -[ OK ] DBTest/1.TestNext (28 ms) -[----------] 5 tests from DBTest/1 (184 ms total) +[----------] 3 tests from SyncedMemoryTest +[ RUN ] SyncedMemoryTest.TestInitialization +[ OK ] SyncedMemoryTest.TestInitialization (0 ms) +[ RUN ] SyncedMemoryTest.TestCPUWrite +[ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) +[ RUN ] SyncedMemoryTest.TestAllocationCPU +[ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) +[----------] 3 tests from SyncedMemoryTest (0 ms total) -[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LSTMLayerTest/1.TestGradient -[ OK ] LSTMLayerTest/1.TestGradient (552 ms) -[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (4906 ms) -[ RUN ] LSTMLayerTest/1.TestForward -[ OK ] LSTMLayerTest/1.TestForward (10 ms) -[ RUN ] LSTMLayerTest/1.TestSetUp -[ OK ] LSTMLayerTest/1.TestSetUp (1 ms) -[ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp -[ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) -[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 -[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (1013 ms) -[ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont -[ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (405 ms) -[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont -[ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (48 ms) -[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient -[ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (48 ms) -[----------] 9 tests from LSTMLayerTest/1 (6984 ms total) +[----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BiasLayerTest/0.TestGradientBias +[ OK ] BiasLayerTest/0.TestGradientBias (102 ms) +[ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace +[ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) +[ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwise +[ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (1 ms) +[ RUN ] BiasLayerTest/0.TestForwardBias +[ OK ] BiasLayerTest/0.TestForwardBias (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam +[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (120 ms) +[ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam +[ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (250 ms) +[ RUN ] BiasLayerTest/0.TestGradientEltwise +[ OK ] BiasLayerTest/0.TestGradientEltwise (5 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 +[ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin +[ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (109 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace +[ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd +[ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam +[ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle +[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (121 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd +[ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (156 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin +[ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (1 ms) +[ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 +[ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (101 ms) +[----------] 20 tests from BiasLayerTest/0 (966 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 SolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SolverTest/0.TestInitTrainTestNets +[ OK ] SolverTest/0.TestInitTrainTestNets (2 ms) +[----------] 1 test from SolverTest/0 (2 ms total) [----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] InnerProductLayerTest/0.TestGradientTranspose -[ OK ] InnerProductLayerTest/0.TestGradientTranspose (196 ms) -[ RUN ] InnerProductLayerTest/0.TestForward -[ OK ] InnerProductLayerTest/0.TestForward (0 ms) -[ RUN ] InnerProductLayerTest/0.TestGradient -[ OK ] InnerProductLayerTest/0.TestGradient (178 ms) [ RUN ] InnerProductLayerTest/0.TestSetUp [ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) -[ RUN ] InnerProductLayerTest/0.TestBackwardTranspose -[ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/0.TestForwardTranspose +[ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue -[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) +[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (1 ms) +[ RUN ] InnerProductLayerTest/0.TestForward +[ OK ] InnerProductLayerTest/0.TestForward (0 ms) +[ RUN ] InnerProductLayerTest/0.TestGradient +[ OK ] InnerProductLayerTest/0.TestGradient (217 ms) [ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse [ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) -[ RUN ] InnerProductLayerTest/0.TestForwardTranspose -[ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) [ RUN ] InnerProductLayerTest/0.TestForwardNoBatch [ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) -[----------] 9 tests from InnerProductLayerTest/0 (375 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 (423 ms) -[----------] 3 tests from FilterLayerTest/1 (423 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 (218 ms) -[----------] 2 tests from SoftmaxLayerTest/1 (219 ms total) - -[----------] 4 tests from ConstantFillerTest/1, where TypeParam = double -[ RUN ] ConstantFillerTest/1.TestFill5D -[ OK ] ConstantFillerTest/1.TestFill5D (0 ms) -[ RUN ] ConstantFillerTest/1.TestFill -[ OK ] ConstantFillerTest/1.TestFill (0 ms) -[ RUN ] ConstantFillerTest/1.TestFill1D -[ OK ] ConstantFillerTest/1.TestFill1D (0 ms) -[ RUN ] ConstantFillerTest/1.TestFill2D -[ OK ] ConstantFillerTest/1.TestFill2D (0 ms) -[----------] 4 tests from ConstantFillerTest/1 (0 ms total) - -[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] RNNLayerTest/1.TestGradient -[ OK ] RNNLayerTest/1.TestGradient (123 ms) -[ RUN ] RNNLayerTest/1.TestForward -[ OK ] RNNLayerTest/1.TestForward (5 ms) -[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 -[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (212 ms) -[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1081 ms) -[ RUN ] RNNLayerTest/1.TestSetUp -[ OK ] RNNLayerTest/1.TestSetUp (2 ms) -[ RUN ] RNNLayerTest/1.TestGradientNonZeroCont -[ OK ] RNNLayerTest/1.TestGradientNonZeroCont (112 ms) -[----------] 6 tests from RNNLayerTest/1 (1535 ms total) - -[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BatchNormLayerTest/0.TestForward -[ OK ] BatchNormLayerTest/0.TestForward (0 ms) -[ RUN ] BatchNormLayerTest/0.TestGradient -[ OK ] BatchNormLayerTest/0.TestGradient (233 ms) -[ RUN ] BatchNormLayerTest/0.TestForwardInplace -[ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) -[----------] 3 tests from BatchNormLayerTest/0 (233 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/0, where TypeParam = float -[ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup -[ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) -[----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) +[ RUN ] InnerProductLayerTest/0.TestGradientTranspose +[ OK ] InnerProductLayerTest/0.TestGradientTranspose (427 ms) +[ RUN ] InnerProductLayerTest/0.TestBackwardTranspose +[ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) +[----------] 9 tests from InnerProductLayerTest/0 (645 ms total) -[----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SliceLayerTest/1.TestSetupNum -[ OK ] SliceLayerTest/1.TestSetupNum (0 ms) -[ RUN ] SliceLayerTest/1.TestSliceAcrossChannels -[ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) -[ RUN ] SliceLayerTest/1.TestTrivialSlice -[ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) -[ RUN ] SliceLayerTest/1.TestGradientAcrossChannels -[ OK ] SliceLayerTest/1.TestGradientAcrossChannels (47 ms) -[ RUN ] SliceLayerTest/1.TestGradientTrivial -[ OK ] SliceLayerTest/1.TestGradientTrivial (14 ms) -[ RUN ] SliceLayerTest/1.TestSetupChannels -[ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) -[ RUN ] SliceLayerTest/1.TestGradientAcrossNum -[ OK ] SliceLayerTest/1.TestGradientAcrossNum (41 ms) -[ RUN ] SliceLayerTest/1.TestSliceAcrossNum -[ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) -[----------] 8 tests from SliceLayerTest/1 (102 ms total) +[----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 +[ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform +[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform +[ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (8 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) +[----------] 11 tests from RandomNumberGeneratorTest/1 (11 ms total) -[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AdaGradSolverTest/1.TestSnapshot -[ OK ] AdaGradSolverTest/1.TestSnapshot (29 ms) -[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (90 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (140 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (18 ms) -[ RUN ] AdaGradSolverTest/1.TestSnapshotShare -[ OK ] AdaGradSolverTest/1.TestSnapshotShare (32 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (17 ms) -[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (19 ms) -[----------] 9 tests from AdaGradSolverTest/1 (356 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.TestBackwardTranspose +[ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse +[ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) +[ RUN ] InnerProductLayerTest/1.TestForwardNoBatch +[ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) +[ RUN ] InnerProductLayerTest/1.TestGradient +[ OK ] InnerProductLayerTest/1.TestGradient (160 ms) +[ RUN ] InnerProductLayerTest/1.TestGradientTranspose +[ OK ] InnerProductLayerTest/1.TestGradientTranspose (148 ms) +[ RUN ] InnerProductLayerTest/1.TestForward +[ OK ] InnerProductLayerTest/1.TestForward (0 ms) +[----------] 9 tests from InnerProductLayerTest/1 (308 ms total) -[----------] 1 test from SolverTypeUpgradeTest -[ RUN ] SolverTypeUpgradeTest.TestSimple -[ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) -[----------] 1 test from SolverTypeUpgradeTest (1 ms total) +[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle +[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (105 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd +[ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin +[ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (89 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace +[ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd +[ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (186 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScale +[ OK ] ScaleLayerTest/1.TestGradientScale (88 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) +[ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace +[ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam +[ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias +[ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (196 ms) +[ RUN ] ScaleLayerTest/1.TestGradientEltwise +[ OK ] ScaleLayerTest/1.TestGradientEltwise (7 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwise +[ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) +[ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 +[ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardScale +[ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 +[ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (100 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (130 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin +[ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam +[ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (400 ms) +[----------] 22 tests from ScaleLayerTest/1 (1303 ms total) -[----------] 2 tests from BilinearFillerTest/1, where TypeParam = double -[ RUN ] BilinearFillerTest/1.TestFillEven -[ OK ] BilinearFillerTest/1.TestFillEven (9 ms) -[ RUN ] BilinearFillerTest/1.TestFillOdd -[ OK ] BilinearFillerTest/1.TestFillOdd (11 ms) -[----------] 2 tests from BilinearFillerTest/1 (20 ms total) +[----------] 4 tests from GaussianFillerTest/1, where TypeParam = double +[ RUN ] GaussianFillerTest/1.TestFill2D +[ OK ] GaussianFillerTest/1.TestFill2D (0 ms) +[ RUN ] GaussianFillerTest/1.TestFill1D +[ OK ] GaussianFillerTest/1.TestFill1D (1 ms) +[ RUN ] GaussianFillerTest/1.TestFill +[ OK ] GaussianFillerTest/1.TestFill (0 ms) +[ RUN ] GaussianFillerTest/1.TestFill5D +[ OK ] GaussianFillerTest/1.TestFill5D (0 ms) +[----------] 4 tests from GaussianFillerTest/1 (1 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) +[----------] 6 tests from XavierFillerTest/0, where TypeParam = float +[ RUN ] XavierFillerTest/0.TestFillFanOut +[ OK ] XavierFillerTest/0.TestFillFanOut (40 ms) +[ RUN ] XavierFillerTest/0.TestFill5D +[ OK ] XavierFillerTest/0.TestFill5D (0 ms) +[ RUN ] XavierFillerTest/0.TestFill1D +[ OK ] XavierFillerTest/0.TestFill1D (0 ms) +[ RUN ] XavierFillerTest/0.TestFill2D +[ OK ] XavierFillerTest/0.TestFill2D (0 ms) +[ RUN ] XavierFillerTest/0.TestFillFanIn +[ OK ] XavierFillerTest/0.TestFillFanIn (68 ms) +[ RUN ] XavierFillerTest/0.TestFillAverage +[ OK ] XavierFillerTest/0.TestFillAverage (89 ms) +[----------] 6 tests from XavierFillerTest/0 (197 ms total) [----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MemoryDataLayerTest/0.TestSetup +[ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) +[ RUN ] MemoryDataLayerTest/0.TestForward +[ OK ] MemoryDataLayerTest/0.TestForward (73 ms) [ RUN ] MemoryDataLayerTest/0.TestSetBatchSize [ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) [ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform [ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) -[ RUN ] MemoryDataLayerTest/0.TestForward -[ OK ] MemoryDataLayerTest/0.TestForward (45 ms) -[ RUN ] MemoryDataLayerTest/0.TestSetup -[ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) [ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform -[ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (0 ms) -[----------] 5 tests from MemoryDataLayerTest/0 (49 ms total) - -[----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SplitLayerTest/1.TestGradient -[ OK ] SplitLayerTest/1.TestGradient (8 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 (8 ms total) - -[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LRNLayerTest/0.TestSetupAcrossChannels -[ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) -[ RUN ] LRNLayerTest/0.TestForwardWithinChannel -[ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) -[ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (1357 ms) -[ RUN ] LRNLayerTest/0.TestForwardAcrossChannels -[ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) -[ RUN ] LRNLayerTest/0.TestGradientAcrossChannels -[ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1372 ms) -[ RUN ] LRNLayerTest/0.TestGradientWithinChannel -[ OK ] LRNLayerTest/0.TestGradientWithinChannel (692 ms) -[ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) -[ RUN ] LRNLayerTest/0.TestSetupWithinChannel -[ OK ] LRNLayerTest/0.TestSetupWithinChannel (1 ms) -[----------] 8 tests from LRNLayerTest/0 (3422 ms total) +[ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) +[----------] 5 tests from MemoryDataLayerTest/0 (77 ms total) -[----------] 3 tests from PaddingLayerUpgradeTest -[ RUN ] PaddingLayerUpgradeTest.TestImageNet -[ OK ] PaddingLayerUpgradeTest.TestImageNet (3 ms) -[ RUN ] PaddingLayerUpgradeTest.TestSimple -[ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) -[ RUN ] PaddingLayerUpgradeTest.TestTwoTops -[ OK ] PaddingLayerUpgradeTest.TestTwoTops (0 ms) -[----------] 3 tests from PaddingLayerUpgradeTest (4 ms total) - -[----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (4333 ms) -[ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp -[ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) -[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient -[ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (94 ms) -[ RUN ] LSTMLayerTest/0.TestGradient -[ OK ] LSTMLayerTest/0.TestGradient (435 ms) -[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 -[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (876 ms) -[ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont -[ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (644 ms) -[ RUN ] LSTMLayerTest/0.TestSetUp -[ OK ] LSTMLayerTest/0.TestSetUp (1 ms) -[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont -[ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (77 ms) -[ RUN ] LSTMLayerTest/0.TestForward -[ OK ] LSTMLayerTest/0.TestForward (6 ms) -[----------] 9 tests from LSTMLayerTest/0 (6466 ms total) - -[----------] 12 tests from DataTransformTest/0, where TypeParam = float -[ RUN ] DataTransformTest/0.TestCropMirrorTest -[ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) -[ RUN ] DataTransformTest/0.TestMirrorTest -[ OK ] DataTransformTest/0.TestMirrorTest (0 ms) -[ RUN ] DataTransformTest/0.TestCropTrain -[ OK ] DataTransformTest/0.TestCropTrain (0 ms) -[ RUN ] DataTransformTest/0.TestCropMirrorTrain -[ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) -[ RUN ] DataTransformTest/0.TestCropSize -[ OK ] DataTransformTest/0.TestCropSize (0 ms) -[ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels -[ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) -[ RUN ] DataTransformTest/0.TestCropTest -[ OK ] DataTransformTest/0.TestCropTest (0 ms) -[ RUN ] DataTransformTest/0.TestMeanValue -[ OK ] DataTransformTest/0.TestMeanValue (0 ms) -[ RUN ] DataTransformTest/0.TestEmptyTransform -[ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) -[ RUN ] DataTransformTest/0.TestMeanFile -[ OK ] DataTransformTest/0.TestMeanFile (0 ms) -[ RUN ] DataTransformTest/0.TestMeanValues -[ OK ] DataTransformTest/0.TestMeanValues (0 ms) -[ RUN ] DataTransformTest/0.TestMirrorTrain -[ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) -[----------] 12 tests from DataTransformTest/0 (0 ms total) - -[----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BenchmarkTest/0.TestTimerConstructor -[ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) -[ RUN ] BenchmarkTest/0.TestTimerMilliSeconds -[ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) -[ RUN ] BenchmarkTest/0.TestTimerStop -[ OK ] BenchmarkTest/0.TestTimerStop (0 ms) -[ RUN ] BenchmarkTest/0.TestTimerStart -[ OK ] BenchmarkTest/0.TestTimerStart (0 ms) -[ RUN ] BenchmarkTest/0.TestTimerSeconds -[ OK ] BenchmarkTest/0.TestTimerSeconds (301 ms) -[----------] 5 tests from BenchmarkTest/0 (602 ms total) - -[----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ConcatLayerTest/0.TestSetupNum -[ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) -[ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing -[ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) -[ RUN ] ConcatLayerTest/0.TestForwardTrivial -[ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) -[ RUN ] ConcatLayerTest/0.TestForwardChannels -[ OK ] ConcatLayerTest/0.TestForwardChannels (1 ms) -[ RUN ] ConcatLayerTest/0.TestForwardNum -[ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) -[ RUN ] ConcatLayerTest/0.TestGradientNum -[ OK ] ConcatLayerTest/0.TestGradientNum (10 ms) -[ RUN ] ConcatLayerTest/0.TestGradientTrivial -[ OK ] ConcatLayerTest/0.TestGradientTrivial (4 ms) -[ RUN ] ConcatLayerTest/0.TestGradientChannels -[ OK ] ConcatLayerTest/0.TestGradientChannels (8 ms) -[ RUN ] ConcatLayerTest/0.TestSetupChannels -[ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) -[ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly -[ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (7 ms) -[----------] 10 tests from ConcatLayerTest/0 (30 ms total) - -[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LRNLayerTest/1.TestForwardAcrossChannels -[ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) -[ RUN ] LRNLayerTest/1.TestForwardWithinChannel -[ OK ] LRNLayerTest/1.TestForwardWithinChannel (1 ms) -[ RUN ] LRNLayerTest/1.TestGradientWithinChannel -[ OK ] LRNLayerTest/1.TestGradientWithinChannel (1528 ms) -[ RUN ] LRNLayerTest/1.TestSetupWithinChannel -[ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) -[ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (0 ms) -[ RUN ] LRNLayerTest/1.TestSetupAcrossChannels -[ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) -[ RUN ] LRNLayerTest/1.TestGradientAcrossChannels -[ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1166 ms) -[ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1171 ms) -[----------] 8 tests from LRNLayerTest/1 (3872 ms total) - -[----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] FilterLayerTest/0.TestForward -[ OK ] FilterLayerTest/0.TestForward (0 ms) -[ RUN ] FilterLayerTest/0.TestReshape -[ OK ] FilterLayerTest/0.TestReshape (0 ms) -[ RUN ] FilterLayerTest/0.TestGradient -[ OK ] FilterLayerTest/0.TestGradient (337 ms) -[----------] 3 tests from FilterLayerTest/0 (337 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 (0 ms) +[ RUN ] SPPLayerTest/1.TestEqualOutputDims2 +[ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) +[ RUN ] SPPLayerTest/1.TestEqualOutputDims +[ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) +[ RUN ] SPPLayerTest/1.TestGradient +[ OK ] SPPLayerTest/1.TestGradient (3045 ms) +[----------] 5 tests from SPPLayerTest/1 (3045 ms total) -[----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double -[ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup -[ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (0 ms) -[----------] 1 test from CPUStochasticPoolingLayerTest/1 (0 ms total) +[----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] InfogainLossLayerTest/1.TestInfogainLoss +[ OK ] InfogainLossLayerTest/1.TestInfogainLoss (1 ms) +[ RUN ] InfogainLossLayerTest/1.TestGradient +[ OK ] InfogainLossLayerTest/1.TestGradient (2 ms) +[----------] 2 tests from InfogainLossLayerTest/1 (3 ms total) -[----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ReshapeLayerTest/0.TestFlattenValues -[ OK ] ReshapeLayerTest/0.TestFlattenValues (1 ms) -[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart -[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) -[ RUN ] ReshapeLayerTest/0.TestGradient -[ OK ] ReshapeLayerTest/0.TestGradient (2 ms) -[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd -[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) -[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified -[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (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.TestCopyDimensions -[ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) -[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis -[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) -[ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes -[ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) -[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle -[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (1 ms) -[ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape -[ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) -[----------] 12 tests from ReshapeLayerTest/0 (4 ms total) +[----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform +[ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) +[ RUN ] MemoryDataLayerTest/1.TestForward +[ OK ] MemoryDataLayerTest/1.TestForward (41 ms) +[ RUN ] MemoryDataLayerTest/1.TestSetup +[ OK ] MemoryDataLayerTest/1.TestSetup (0 ms) +[ RUN ] MemoryDataLayerTest/1.TestSetBatchSize +[ OK ] MemoryDataLayerTest/1.TestSetBatchSize (3 ms) +[ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform +[ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (1 ms) +[----------] 5 tests from MemoryDataLayerTest/1 (46 ms total) [----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (29 ms) +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (38 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (94 ms) +[ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare +[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (37 ms) +[ RUN ] AdaDeltaSolverTest/1.TestSnapshot +[ OK ] AdaDeltaSolverTest/1.TestSnapshot (38 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (6 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (15 ms) -[ RUN ] AdaDeltaSolverTest/1.TestSnapshot -[ OK ] AdaDeltaSolverTest/1.TestSnapshot (20 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (28 ms) +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (18 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (155 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (14 ms) [ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (15 ms) +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (48 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (83 ms) [ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (94 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (123 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (142 ms) -[ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare -[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (48 ms) -[----------] 11 tests from AdaDeltaSolverTest/1 (521 ms total) +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (226 ms) +[----------] 11 tests from AdaDeltaSolverTest/1 (768 ms total) -[----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] NetTest/1.TestLossWeightMidNet -[ OK ] NetTest/1.TestLossWeightMidNet (8 ms) -[ RUN ] NetTest/1.TestSharedWeightsDiffNet -[ OK ] NetTest/1.TestSharedWeightsDiffNet (4 ms) -[ RUN ] NetTest/1.TestComboLossWeight -[ OK ] NetTest/1.TestComboLossWeight (3 ms) -[ RUN ] NetTest/1.TestReshape -[ OK ] NetTest/1.TestReshape (1 ms) -[ RUN ] NetTest/1.TestUnsharedWeightsDataNet -[ OK ] NetTest/1.TestUnsharedWeightsDataNet (1 ms) -[ RUN ] NetTest/1.TestParamPropagateDown -[ OK ] NetTest/1.TestParamPropagateDown (2 ms) -[ RUN ] NetTest/1.TestSharedWeightsResume -[ OK ] NetTest/1.TestSharedWeightsResume (0 ms) -[ RUN ] NetTest/1.TestHasBlob -[ OK ] NetTest/1.TestHasBlob (5 ms) -[ RUN ] NetTest/1.TestAllInOneNetVal -[ OK ] NetTest/1.TestAllInOneNetVal (1 ms) -[ RUN ] NetTest/1.TestAllInOneNetDeploy -[ OK ] NetTest/1.TestAllInOneNetDeploy (0 ms) -[ RUN ] NetTest/1.TestGetBlob -[ OK ] NetTest/1.TestGetBlob (1 ms) -[ RUN ] NetTest/1.TestSharedWeightsDataNet -[ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) -[ RUN ] NetTest/1.TestAllInOneNetTrain -[ OK ] NetTest/1.TestAllInOneNetTrain (0 ms) -[ RUN ] NetTest/1.TestBottomNeedBackward -[ OK ] NetTest/1.TestBottomNeedBackward (5 ms) -[ RUN ] NetTest/1.TestBackwardWithAccuracyLayer -[ OK ] NetTest/1.TestBackwardWithAccuracyLayer (2 ms) -[ RUN ] NetTest/1.TestFromTo -[ OK ] NetTest/1.TestFromTo (7 ms) -[ RUN ] NetTest/1.TestGetLayerByName -[ OK ] NetTest/1.TestGetLayerByName (1 ms) -[ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce -[ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) -[ RUN ] NetTest/1.TestForcePropagateDown -[ OK ] NetTest/1.TestForcePropagateDown (1 ms) -[ RUN ] NetTest/1.TestLossWeight -[ OK ] NetTest/1.TestLossWeight (7 ms) -[ RUN ] NetTest/1.TestBottomNeedBackwardForce -[ OK ] NetTest/1.TestBottomNeedBackwardForce (0 ms) -[ RUN ] NetTest/1.TestUnsharedWeightsDiffNet -[ OK ] NetTest/1.TestUnsharedWeightsDiffNet (1 ms) -[ RUN ] NetTest/1.TestBottomNeedBackwardTricky -[ OK ] NetTest/1.TestBottomNeedBackwardTricky (5 ms) -[ RUN ] NetTest/1.TestSharedWeightsUpdate -[ OK ] NetTest/1.TestSharedWeightsUpdate (1 ms) -[ RUN ] NetTest/1.TestSkipPropagateDown -[ OK ] NetTest/1.TestSkipPropagateDown (1 ms) -[ RUN ] NetTest/1.TestHasLayer -[ OK ] NetTest/1.TestHasLayer (1 ms) -[----------] 26 tests from NetTest/1 (60 ms total) +[----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] TanHLayerTest/0.TestTanHGradient +[ OK ] TanHLayerTest/0.TestTanHGradient (6 ms) +[ RUN ] TanHLayerTest/0.TestTanHOverflow +[ OK ] TanHLayerTest/0.TestTanHOverflow (1 ms) +[ RUN ] TanHLayerTest/0.TestTanH +[ OK ] TanHLayerTest/0.TestTanH (0 ms) +[----------] 3 tests from TanHLayerTest/0 (7 ms total) -[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (129 ms) -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (139 ms) -[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) -[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (133 ms) -[ RUN ] RMSPropSolverTest/1.TestSnapshotShare -[ OK ] RMSPropSolverTest/1.TestSnapshotShare (48 ms) -[ RUN ] RMSPropSolverTest/1.TestSnapshot -[ OK ] RMSPropSolverTest/1.TestSnapshot (36 ms) -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (26 ms) -[----------] 8 tests from RMSPropSolverTest/1 (531 ms total) +[----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] PowerLayerTest/0.TestPowerOneGradient +[ OK ] PowerLayerTest/0.TestPowerOneGradient (3 ms) +[ RUN ] PowerLayerTest/0.TestPowerZeroGradient +[ OK ] PowerLayerTest/0.TestPowerZeroGradient (2 ms) +[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero +[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) +[ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient +[ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (4 ms) +[ RUN ] PowerLayerTest/0.TestPowerZero +[ OK ] PowerLayerTest/0.TestPowerZero (0 ms) +[ RUN ] PowerLayerTest/0.TestPowerOne +[ OK ] PowerLayerTest/0.TestPowerOne (0 ms) +[ RUN ] PowerLayerTest/0.TestPower +[ OK ] PowerLayerTest/0.TestPower (0 ms) +[ RUN ] PowerLayerTest/0.TestPowerTwoGradient +[ OK ] PowerLayerTest/0.TestPowerTwoGradient (4 ms) +[ RUN ] PowerLayerTest/0.TestPowerGradient +[ OK ] PowerLayerTest/0.TestPowerGradient (3 ms) +[ RUN ] PowerLayerTest/0.TestPowerTwo +[ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) +[----------] 10 tests from PowerLayerTest/0 (19 ms total) -[----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] PowerLayerTest/1.TestPower -[ OK ] PowerLayerTest/1.TestPower (0 ms) -[ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero -[ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (7 ms) -[ RUN ] PowerLayerTest/1.TestPowerOne -[ OK ] PowerLayerTest/1.TestPowerOne (0 ms) -[ RUN ] PowerLayerTest/1.TestPowerZero -[ OK ] PowerLayerTest/1.TestPowerZero (0 ms) -[ RUN ] PowerLayerTest/1.TestPowerZeroGradient -[ OK ] PowerLayerTest/1.TestPowerZeroGradient (1 ms) -[ RUN ] PowerLayerTest/1.TestPowerGradient -[ OK ] PowerLayerTest/1.TestPowerGradient (8 ms) -[ RUN ] PowerLayerTest/1.TestPowerTwoGradient -[ OK ] PowerLayerTest/1.TestPowerTwoGradient (11 ms) -[ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient -[ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (7 ms) -[ RUN ] PowerLayerTest/1.TestPowerOneGradient -[ OK ] PowerLayerTest/1.TestPowerOneGradient (2 ms) -[ RUN ] PowerLayerTest/1.TestPowerTwo -[ OK ] PowerLayerTest/1.TestPowerTwo (4 ms) -[----------] 10 tests from PowerLayerTest/1 (41 ms total) +[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LRNLayerTest/1.TestSetupAcrossChannels +[ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/1.TestForwardAcrossChannels +[ OK ] LRNLayerTest/1.TestForwardAcrossChannels (1 ms) +[ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (0 ms) +[ RUN ] LRNLayerTest/1.TestSetupWithinChannel +[ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) +[ RUN ] LRNLayerTest/1.TestForwardWithinChannel +[ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) +[ RUN ] LRNLayerTest/1.TestGradientAcrossChannels +[ OK ] LRNLayerTest/1.TestGradientAcrossChannels (1059 ms) +[ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (1648 ms) +[ RUN ] LRNLayerTest/1.TestGradientWithinChannel +[ OK ] LRNLayerTest/1.TestGradientWithinChannel (844 ms) +[----------] 8 tests from LRNLayerTest/1 (3552 ms total) -[----------] 2 tests from BilinearFillerTest/0, where TypeParam = float -[ RUN ] BilinearFillerTest/0.TestFillOdd -[ OK ] BilinearFillerTest/0.TestFillOdd (27 ms) -[ RUN ] BilinearFillerTest/0.TestFillEven -[ OK ] BilinearFillerTest/0.TestFillEven (16 ms) -[----------] 2 tests from BilinearFillerTest/0 (52 ms total) +[----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SplitLayerTest/1.Test +[ OK ] SplitLayerTest/1.Test (0 ms) +[ RUN ] SplitLayerTest/1.TestGradient +[ OK ] SplitLayerTest/1.TestGradient (8 ms) +[ RUN ] SplitLayerTest/1.TestSetup +[ OK ] SplitLayerTest/1.TestSetup (0 ms) +[----------] 3 tests from SplitLayerTest/1 (8 ms total) -[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BenchmarkTest/1.TestTimerConstructor -[ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) -[ RUN ] BenchmarkTest/1.TestTimerMilliSeconds -[ OK ] BenchmarkTest/1.TestTimerMilliSeconds (307 ms) -[ RUN ] BenchmarkTest/1.TestTimerStop -[ OK ] BenchmarkTest/1.TestTimerStop (0 ms) -[ RUN ] BenchmarkTest/1.TestTimerSeconds -[ OK ] BenchmarkTest/1.TestTimerSeconds (301 ms) -[ RUN ] BenchmarkTest/1.TestTimerStart -[ OK ] BenchmarkTest/1.TestTimerStart (0 ms) -[----------] 5 tests from BenchmarkTest/1 (608 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) -[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ConcatLayerTest/1.TestForwardTrivial -[ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) -[ RUN ] ConcatLayerTest/1.TestGradientChannels -[ OK ] ConcatLayerTest/1.TestGradientChannels (8 ms) -[ RUN ] ConcatLayerTest/1.TestForwardNum -[ OK ] ConcatLayerTest/1.TestForwardNum (1 ms) -[ RUN ] ConcatLayerTest/1.TestForwardChannels -[ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) -[ RUN ] ConcatLayerTest/1.TestSetupChannels -[ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) -[ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly -[ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (2 ms) -[ RUN ] ConcatLayerTest/1.TestGradientNum -[ OK ] ConcatLayerTest/1.TestGradientNum (12 ms) -[ RUN ] ConcatLayerTest/1.TestGradientTrivial -[ OK ] ConcatLayerTest/1.TestGradientTrivial (2 ms) -[ RUN ] ConcatLayerTest/1.TestSetupNum -[ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) -[ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing -[ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) -[----------] 10 tests from ConcatLayerTest/1 (25 ms total) +[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BatchNormLayerTest/0.TestForwardInplace +[ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) +[ RUN ] BatchNormLayerTest/0.TestGradient +[ OK ] BatchNormLayerTest/0.TestGradient (218 ms) +[ RUN ] BatchNormLayerTest/0.TestForward +[ OK ] BatchNormLayerTest/0.TestForward (0 ms) +[----------] 3 tests from BatchNormLayerTest/0 (218 ms total) [----------] 20 tests from FilterNetTest -[ RUN ] FilterNetTest.TestNoFilter -[ OK ] FilterNetTest.TestNoFilter (1 ms) -[ RUN ] FilterNetTest.TestFilterInByMinLevel -[ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByStage -[ OK ] FilterNetTest.TestFilterOutByStage (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMultipleStage2 -[ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByMaxLevel +[ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel2 [ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) +[ RUN ] FilterNetTest.TestNoFilter +[ OK ] FilterNetTest.TestNoFilter (1 ms) [ RUN ] FilterNetTest.TestFilterInByNotStage [ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByMaxLevel -[ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) -[ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule -[ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByNotStage -[ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByStage2 -[ OK ] FilterNetTest.TestFilterInByStage2 (1 ms) -[ RUN ] FilterNetTest.TestFilterInByStage -[ OK ] FilterNetTest.TestFilterInByStage (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByStage2 -[ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByMinLevel -[ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) +[ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByMultipleStage -[ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMaxLevel2 -[ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (1 ms) +[ RUN ] FilterNetTest.TestFilterInByMultipleStage2 +[ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMinLevel +[ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInByStage +[ OK ] FilterNetTest.TestFilterInByStage (1 ms) +[ RUN ] FilterNetTest.TestFilterOutByMinLevel +[ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMaxLevel +[ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) [ RUN ] FilterNetTest.TestFilterLeNetTrainTest -[ OK ] FilterNetTest.TestFilterLeNetTrainTest (4 ms) +[ OK ] FilterNetTest.TestFilterLeNetTrainTest (1 ms) +[ RUN ] FilterNetTest.TestFilterOutByNotStage +[ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByStage2 +[ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) +[ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule +[ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (1 ms) +[ RUN ] FilterNetTest.TestFilterOutByStage +[ OK ] FilterNetTest.TestFilterOutByStage (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMaxLevel2 +[ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage [ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMaxLevel -[ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) -[----------] 20 tests from FilterNetTest (7 ms total) +[ RUN ] FilterNetTest.TestFilterOutByMultipleStage +[ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) +[----------] 20 tests from FilterNetTest (5 ms total) -[----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] CropLayerTest/0.TestCropHW -[ OK ] CropLayerTest/0.TestCropHW (0 ms) -[ RUN ] CropLayerTest/0.TestCropHWGradient -[ OK ] CropLayerTest/0.TestCropHWGradient (426 ms) -[ RUN ] CropLayerTest/0.TestSetupShapeDefault -[ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) -[ RUN ] CropLayerTest/0.TestCrop5D -[ OK ] CropLayerTest/0.TestCrop5D (1 ms) -[ RUN ] CropLayerTest/0.TestDimensionsCheck -[ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) -[ RUN ] CropLayerTest/0.TestCropAll -[ OK ] CropLayerTest/0.TestCropAll (0 ms) -[ RUN ] CropLayerTest/0.TestCrop5DGradient -[ OK ] CropLayerTest/0.TestCrop5DGradient (2364 ms) -[ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing -[ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) -[ RUN ] CropLayerTest/0.TestSetupShapeAll -[ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) -[ RUN ] CropLayerTest/0.TestCropAllGradient -[ OK ] CropLayerTest/0.TestCropAllGradient (400 ms) -[ RUN ] CropLayerTest/0.TestCropAllOffset -[ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) -[----------] 11 tests from CropLayerTest/0 (3191 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) -[----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] TileLayerTest/0.TestTrivialGradient -[ OK ] TileLayerTest/0.TestTrivialGradient (142 ms) -[ RUN ] TileLayerTest/0.TestForwardChannels -[ OK ] TileLayerTest/0.TestForwardChannels (0 ms) -[ RUN ] TileLayerTest/0.TestTrivialSetup -[ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) -[ RUN ] TileLayerTest/0.TestGradientNum -[ OK ] TileLayerTest/0.TestGradientNum (445 ms) -[ RUN ] TileLayerTest/0.TestSetup -[ OK ] TileLayerTest/0.TestSetup (0 ms) -[ RUN ] TileLayerTest/0.TestGradientChannels -[ OK ] TileLayerTest/0.TestGradientChannels (279 ms) -[ RUN ] TileLayerTest/0.TestForwardNum -[ OK ] TileLayerTest/0.TestForwardNum (0 ms) -[----------] 7 tests from TileLayerTest/0 (872 ms total) +[----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NeuronLayerTest/0.TestReLU +[ OK ] NeuronLayerTest/0.TestReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestELU +[ OK ] NeuronLayerTest/0.TestELU (0 ms) +[ RUN ] NeuronLayerTest/0.TestELUGradient +[ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) +[ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope +[ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU +[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayer +[ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayer +[ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUInPlace +[ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) +[ RUN ] NeuronLayerTest/0.TestTanH +[ OK ] NeuronLayerTest/0.TestTanH (1 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2 (3 ms) +[ RUN ] NeuronLayerTest/0.TestSigmoid +[ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishAsLinear +[ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradient +[ OK ] NeuronLayerTest/0.TestExpGradient (3 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared +[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutGradientTest +[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) +[ RUN ] NeuronLayerTest/0.TestAbsVal +[ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUGradient +[ OK ] NeuronLayerTest/0.TestPReLUGradient (147 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerWithShift +[ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (4 ms) +[ RUN ] NeuronLayerTest/0.TestBNLLGradient +[ OK ] NeuronLayerTest/0.TestBNLLGradient (8 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutTestPhase +[ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishGradient +[ OK ] NeuronLayerTest/0.TestSwishGradient (13 ms) +[ RUN ] NeuronLayerTest/0.TestClip +[ OK ] NeuronLayerTest/0.TestClip (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient +[ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (7 ms) +[ RUN ] NeuronLayerTest/0.TestAbsGradient +[ OK ] NeuronLayerTest/0.TestAbsGradient (6 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2 (3 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradient +[ OK ] NeuronLayerTest/0.TestLogGradient (11 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared +[ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (187 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (2 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutHalf +[ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUForward +[ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) +[ RUN ] NeuronLayerTest/0.TestTanHGradient +[ OK ] NeuronLayerTest/0.TestTanHGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestELUasReLUGradient +[ OK ] NeuronLayerTest/0.TestELUasReLUGradient (1 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters +[ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (2 ms) +[ RUN ] NeuronLayerTest/0.TestReLUGradient +[ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUParam +[ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope +[ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientWithShift +[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (2 ms) +[ RUN ] NeuronLayerTest/0.TestSwishWithBeta +[ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) +[ RUN ] NeuronLayerTest/0.TestSigmoidGradient +[ OK ] NeuronLayerTest/0.TestSigmoidGradient (4 ms) +[ RUN ] NeuronLayerTest/0.TestELUasReLU +[ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (2 ms) +[ RUN ] NeuronLayerTest/0.TestClipGradient +[ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient +[ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestBNLL +[ OK ] NeuronLayerTest/0.TestBNLL (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (2 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutGradient +[ OK ] NeuronLayerTest/0.TestDropoutGradient (2 ms) +[ RUN ] NeuronLayerTest/0.TestSwish +[ OK ] NeuronLayerTest/0.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (3 ms) +[----------] 58 tests from NeuronLayerTest/0 (435 ms total) + +[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxLayerTest/0.TestForward +[ OK ] SoftmaxLayerTest/0.TestForward (0 ms) +[ RUN ] SoftmaxLayerTest/0.TestGradient +[ OK ] SoftmaxLayerTest/0.TestGradient (154 ms) +[----------] 2 tests from SoftmaxLayerTest/0 (154 ms total) + +[----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (63 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (12 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (13 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (63 ms) +[ RUN ] SGDSolverTest/0.TestSnapshotShare +[ OK ] SGDSolverTest/0.TestSnapshotShare (17 ms) +[ RUN ] SGDSolverTest/0.TestSnapshot +[ OK ] SGDSolverTest/0.TestSnapshot (12 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (26 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (66 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (25 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (63 ms) +[----------] 12 tests from SGDSolverTest/0 (364 ms total) + +[----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ImageDataLayerTest/1.TestRead +[ OK ] ImageDataLayerTest/1.TestRead (215 ms) +[ RUN ] ImageDataLayerTest/1.TestSpace +[ OK ] ImageDataLayerTest/1.TestSpace (66 ms) +[ RUN ] ImageDataLayerTest/1.TestShuffle +[ OK ] ImageDataLayerTest/1.TestShuffle (239 ms) +[ RUN ] ImageDataLayerTest/1.TestResize +[ OK ] ImageDataLayerTest/1.TestResize (187 ms) +[ RUN ] ImageDataLayerTest/1.TestReshape +[ OK ] ImageDataLayerTest/1.TestReshape (63 ms) +[----------] 5 tests from ImageDataLayerTest/1 (770 ms total) + +[----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SliceLayerTest/1.TestSetupChannels +[ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientAcrossNum +[ OK ] SliceLayerTest/1.TestGradientAcrossNum (37 ms) +[ RUN ] SliceLayerTest/1.TestSliceAcrossNum +[ OK ] SliceLayerTest/1.TestSliceAcrossNum (1 ms) +[ RUN ] SliceLayerTest/1.TestGradientAcrossChannels +[ OK ] SliceLayerTest/1.TestGradientAcrossChannels (40 ms) +[ RUN ] SliceLayerTest/1.TestSetupNum +[ OK ] SliceLayerTest/1.TestSetupNum (0 ms) +[ RUN ] SliceLayerTest/1.TestSliceAcrossChannels +[ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientTrivial +[ OK ] SliceLayerTest/1.TestGradientTrivial (11 ms) +[ RUN ] SliceLayerTest/1.TestTrivialSlice +[ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) +[----------] 8 tests from SliceLayerTest/1 (89 ms total) [----------] 12 tests from DataTransformTest/1, where TypeParam = double -[ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels -[ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) +[ RUN ] DataTransformTest/1.TestCropMirrorTest +[ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) +[ RUN ] DataTransformTest/1.TestMeanValue +[ OK ] DataTransformTest/1.TestMeanValue (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.TestCropTest -[ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTrain [ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) -[ RUN ] DataTransformTest/1.TestCropMirrorTrain -[ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) [ RUN ] DataTransformTest/1.TestMirrorTest [ OK ] DataTransformTest/1.TestMirrorTest (0 ms) -[ RUN ] DataTransformTest/1.TestMeanValue -[ OK ] DataTransformTest/1.TestMeanValue (0 ms) +[ RUN ] DataTransformTest/1.TestCropMirrorTrain +[ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) +[ RUN ] DataTransformTest/1.TestCropTest +[ OK ] DataTransformTest/1.TestCropTest (0 ms) [ RUN ] DataTransformTest/1.TestMeanValues [ OK ] DataTransformTest/1.TestMeanValues (0 ms) -[ RUN ] DataTransformTest/1.TestMeanFile -[ OK ] DataTransformTest/1.TestMeanFile (1 ms) [ RUN ] DataTransformTest/1.TestEmptyTransform [ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) -[ RUN ] DataTransformTest/1.TestCropMirrorTest -[ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) +[ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels +[ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) +[ RUN ] DataTransformTest/1.TestMeanFile +[ OK ] DataTransformTest/1.TestMeanFile (1 ms) +[ RUN ] DataTransformTest/1.TestCropTrain +[ OK ] DataTransformTest/1.TestCropTrain (0 ms) [----------] 12 tests from DataTransformTest/1 (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 (0 ms total) +[----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] FilterLayerTest/0.TestGradient +[ OK ] FilterLayerTest/0.TestGradient (260 ms) +[ RUN ] FilterLayerTest/0.TestForward +[ OK ] FilterLayerTest/0.TestForward (0 ms) +[ RUN ] FilterLayerTest/0.TestReshape +[ OK ] FilterLayerTest/0.TestReshape (0 ms) +[----------] 3 tests from FilterLayerTest/0 (260 ms total) -[----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] Im2colLayerTest/0.TestGradient -[ OK ] Im2colLayerTest/0.TestGradient (295 ms) -[ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND -[ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (2596 ms) -[ RUN ] Im2colLayerTest/0.TestGradientForceND -[ OK ] Im2colLayerTest/0.TestGradientForceND (730 ms) -[ RUN ] Im2colLayerTest/0.TestDilatedGradient -[ OK ] Im2colLayerTest/0.TestDilatedGradient (916 ms) -[ RUN ] Im2colLayerTest/0.TestSetup -[ OK ] Im2colLayerTest/0.TestSetup (0 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 (242 ms) -[----------] 8 tests from Im2colLayerTest/0 (4779 ms total) +[----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float +[ RUN ] ArgMaxLayerTest/0.TestSetupAxis +[ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal +[ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK +[ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (36 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPU +[ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal +[ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxis +[ OK ] ArgMaxLayerTest/0.TestCPUAxis (8 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetup +[ OK ] ArgMaxLayerTest/0.TestSetup (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK +[ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUTopK +[ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing +[ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal +[ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK +[ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (34 ms) +[----------] 12 tests from ArgMaxLayerTest/0 (86 ms total) -[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] RNNLayerTest/0.TestForward -[ OK ] RNNLayerTest/0.TestForward (6 ms) -[ RUN ] RNNLayerTest/0.TestGradientNonZeroCont -[ OK ] RNNLayerTest/0.TestGradientNonZeroCont (96 ms) -[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 -[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (271 ms) -[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1332 ms) -[ RUN ] RNNLayerTest/0.TestSetUp -[ OK ] RNNLayerTest/0.TestSetUp (5 ms) -[ RUN ] RNNLayerTest/0.TestGradient -[ OK ] RNNLayerTest/0.TestGradient (117 ms) -[----------] 6 tests from RNNLayerTest/0 (1827 ms total) +[----------] 4 tests from NetUpgradeTest +[ RUN ] NetUpgradeTest.TestAllParams +[ OK ] NetUpgradeTest.TestAllParams (1 ms) +[ RUN ] NetUpgradeTest.TestUpgradeV1LayerType +[ OK ] NetUpgradeTest.TestUpgradeV1LayerType (1 ms) +[ RUN ] NetUpgradeTest.TestImageNet +[ OK ] NetUpgradeTest.TestImageNet (2 ms) +[ RUN ] NetUpgradeTest.TestSimple +[ OK ] NetUpgradeTest.TestSimple (1 ms) +[----------] 4 tests from NetUpgradeTest (5 ms total) -[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5OutputLayerTest/1.TestForward -[ OK ] HDF5OutputLayerTest/1.TestForward (4 ms) -[----------] 1 test from HDF5OutputLayerTest/1 (4 ms total) +[----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MVNLayerTest/0.TestGradientMeanOnly +[ OK ] MVNLayerTest/0.TestGradientMeanOnly (113 ms) +[ RUN ] MVNLayerTest/0.TestForwardAcrossChannels +[ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) +[ RUN ] MVNLayerTest/0.TestGradient +[ OK ] MVNLayerTest/0.TestGradient (243 ms) +[ RUN ] MVNLayerTest/0.TestGradientAcrossChannels +[ OK ] MVNLayerTest/0.TestGradientAcrossChannels (337 ms) +[ RUN ] MVNLayerTest/0.TestForwardMeanOnly +[ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) +[ RUN ] MVNLayerTest/0.TestForward +[ OK ] MVNLayerTest/0.TestForward (0 ms) +[----------] 6 tests from MVNLayerTest/0 (693 ms total) -[----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform -[ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 -[ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 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 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (1 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 -[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 -[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian -[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (0 ms) -[----------] 11 tests from RandomNumberGeneratorTest/0 (2 ms total) +[----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace +[ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBias +[ OK ] BiasLayerTest/1.TestGradientBias (90 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle +[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (103 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd +[ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (133 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd +[ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) +[ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam +[ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (1 ms) +[ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 +[ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam +[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (106 ms) +[ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam +[ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (211 ms) +[ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 +[ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (110 ms) +[ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace +[ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (1 ms) +[ RUN ] BiasLayerTest/1.TestForwardEltwise +[ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin +[ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (172 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin +[ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientEltwise +[ OK ] BiasLayerTest/1.TestGradientEltwise (4 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardBias +[ OK ] BiasLayerTest/1.TestForwardBias (0 ms) +[----------] 20 tests from BiasLayerTest/1 (932 ms total) + +[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] Im2colLayerTest/1.TestSetup +[ OK ] Im2colLayerTest/1.TestSetup (0 ms) +[ RUN ] Im2colLayerTest/1.TestRect +[ OK ] Im2colLayerTest/1.TestRect (0 ms) +[ RUN ] Im2colLayerTest/1.TestDilatedGradient +[ OK ] Im2colLayerTest/1.TestDilatedGradient (1412 ms) +[ RUN ] Im2colLayerTest/1.TestRectGradient +[ OK ] Im2colLayerTest/1.TestRectGradient (246 ms) +[ RUN ] Im2colLayerTest/1.TestGradient +[ OK ] Im2colLayerTest/1.TestGradient (291 ms) +[ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND +[ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (2017 ms) +[ RUN ] Im2colLayerTest/1.TestGradientForceND +[ OK ] Im2colLayerTest/1.TestGradientForceND (640 ms) +[ RUN ] Im2colLayerTest/1.TestForward +[ OK ] Im2colLayerTest/1.TestForward (0 ms) +[----------] 8 tests from Im2colLayerTest/1 (4606 ms total) [----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (14 ms) -[ RUN ] AdamSolverTest/0.TestSnapshot -[ OK ] AdamSolverTest/0.TestSnapshot (14 ms) +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (17 ms) [ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) +[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) +[ RUN ] AdamSolverTest/0.TestSnapshotShare +[ OK ] AdamSolverTest/0.TestSnapshotShare (33 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (118 ms) +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (87 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (138 ms) +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (91 ms) +[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (4 ms) [ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (30 ms) -[ RUN ] AdamSolverTest/0.TestSnapshotShare -[ OK ] AdamSolverTest/0.TestSnapshotShare (41 ms) -[----------] 8 tests from AdamSolverTest/0 (362 ms total) +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (17 ms) +[ RUN ] AdamSolverTest/0.TestSnapshot +[ OK ] AdamSolverTest/0.TestSnapshot (32 ms) +[----------] 8 tests from AdamSolverTest/0 (288 ms total) -[----------] 4 tests from NetUpgradeTest -[ RUN ] NetUpgradeTest.TestImageNet -[ OK ] NetUpgradeTest.TestImageNet (7 ms) -[ RUN ] NetUpgradeTest.TestUpgradeV1LayerType -[ OK ] NetUpgradeTest.TestUpgradeV1LayerType (1 ms) -[ RUN ] NetUpgradeTest.TestSimple -[ OK ] NetUpgradeTest.TestSimple (0 ms) -[ RUN ] NetUpgradeTest.TestAllParams -[ OK ] NetUpgradeTest.TestAllParams (1 ms) -[----------] 4 tests from NetUpgradeTest (9 ms total) +[----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NetTest/1.TestForcePropagateDown +[ OK ] NetTest/1.TestForcePropagateDown (1 ms) +[ RUN ] NetTest/1.TestUnsharedWeightsDiffNet +[ OK ] NetTest/1.TestUnsharedWeightsDiffNet (0 ms) +[ RUN ] NetTest/1.TestHasLayer +[ OK ] NetTest/1.TestHasLayer (2 ms) +[ RUN ] NetTest/1.TestSharedWeightsResume +[ OK ] NetTest/1.TestSharedWeightsResume (1 ms) +[ RUN ] NetTest/1.TestParamPropagateDown +[ OK ] NetTest/1.TestParamPropagateDown (3 ms) +[ RUN ] NetTest/1.TestAllInOneNetVal +[ OK ] NetTest/1.TestAllInOneNetVal (1 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce +[ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (0 ms) +[ RUN ] NetTest/1.TestSkipPropagateDown +[ OK ] NetTest/1.TestSkipPropagateDown (2 ms) +[ RUN ] NetTest/1.TestComboLossWeight +[ OK ] NetTest/1.TestComboLossWeight (5 ms) +[ RUN ] NetTest/1.TestSharedWeightsDataNet +[ OK ] NetTest/1.TestSharedWeightsDataNet (0 ms) +[ RUN ] NetTest/1.TestLossWeight +[ OK ] NetTest/1.TestLossWeight (5 ms) +[ RUN ] NetTest/1.TestSharedWeightsDiffNet +[ OK ] NetTest/1.TestSharedWeightsDiffNet (1 ms) +[ RUN ] NetTest/1.TestUnsharedWeightsDataNet +[ OK ] NetTest/1.TestUnsharedWeightsDataNet (0 ms) +[ RUN ] NetTest/1.TestReshape +[ OK ] NetTest/1.TestReshape (2 ms) +[ RUN ] NetTest/1.TestLossWeightMidNet +[ OK ] NetTest/1.TestLossWeightMidNet (6 ms) +[ RUN ] NetTest/1.TestBackwardWithAccuracyLayer +[ OK ] NetTest/1.TestBackwardWithAccuracyLayer (4 ms) +[ RUN ] NetTest/1.TestSharedWeightsUpdate +[ OK ] NetTest/1.TestSharedWeightsUpdate (2 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardTricky +[ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) +[ RUN ] NetTest/1.TestHasBlob +[ OK ] NetTest/1.TestHasBlob (1 ms) +[ RUN ] NetTest/1.TestGetLayerByName +[ OK ] NetTest/1.TestGetLayerByName (2 ms) +[ RUN ] NetTest/1.TestGetBlob +[ OK ] NetTest/1.TestGetBlob (1 ms) +[ RUN ] NetTest/1.TestAllInOneNetTrain +[ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) +[ RUN ] NetTest/1.TestBottomNeedBackward +[ OK ] NetTest/1.TestBottomNeedBackward (1 ms) +[ RUN ] NetTest/1.TestAllInOneNetDeploy +[ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardForce +[ OK ] NetTest/1.TestBottomNeedBackwardForce (1 ms) +[ RUN ] NetTest/1.TestFromTo +[ OK ] NetTest/1.TestFromTo (4 ms) +[----------] 26 tests from NetTest/1 (48 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 EmbedLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EmbedLayerTest/1.TestSetUp +[ OK ] EmbedLayerTest/1.TestSetUp (0 ms) +[ RUN ] EmbedLayerTest/1.TestForwardWithBias +[ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) +[ RUN ] EmbedLayerTest/1.TestGradient +[ OK ] EmbedLayerTest/1.TestGradient (14 ms) +[ RUN ] EmbedLayerTest/1.TestGradientWithBias +[ OK ] EmbedLayerTest/1.TestGradientWithBias (19 ms) +[ RUN ] EmbedLayerTest/1.TestForward +[ OK ] EmbedLayerTest/1.TestForward (0 ms) +[----------] 5 tests from EmbedLayerTest/1 (33 ms total) -[----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] DataLayerTest/0.TestReshapeLevelDB -[ OK ] DataLayerTest/0.TestReshapeLevelDB (13 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (2 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (1 ms) -[ RUN ] DataLayerTest/0.TestReadCropTestLevelDB -[ OK ] DataLayerTest/0.TestReadCropTestLevelDB (1 ms) -[ RUN ] DataLayerTest/0.TestReadLevelDB -[ OK ] DataLayerTest/0.TestReadLevelDB (5 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (2 ms) -[ RUN ] DataLayerTest/0.TestSkipLMDB -[ OK ] DataLayerTest/0.TestSkipLMDB (4 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (2 ms) -[ RUN ] DataLayerTest/0.TestSkipLevelDB -[ OK ] DataLayerTest/0.TestSkipLevelDB (7 ms) -[ RUN ] DataLayerTest/0.TestReadLMDB -[ OK ] DataLayerTest/0.TestReadLMDB (4 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB -[ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (1 ms) -[ RUN ] DataLayerTest/0.TestReshapeLMDB -[ OK ] DataLayerTest/0.TestReshapeLMDB (1 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (2 ms) -[ RUN ] DataLayerTest/0.TestReadCropTestLMDB -[ OK ] DataLayerTest/0.TestReadCropTestLMDB (1 ms) -[----------] 14 tests from DataLayerTest/0 (46 ms total) +[----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ThresholdLayerTest/0.TestSetup +[ OK ] ThresholdLayerTest/0.TestSetup (0 ms) +[ RUN ] ThresholdLayerTest/0.Test2 +[ OK ] ThresholdLayerTest/0.Test2 (0 ms) +[ RUN ] ThresholdLayerTest/0.Test +[ OK ] ThresholdLayerTest/0.Test (0 ms) +[----------] 3 tests from ThresholdLayerTest/0 (0 ms total) -[----------] 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) +[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MVNLayerTest/1.TestForwardAcrossChannels +[ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) +[ RUN ] MVNLayerTest/1.TestGradientMeanOnly +[ OK ] MVNLayerTest/1.TestGradientMeanOnly (222 ms) +[ RUN ] MVNLayerTest/1.TestForward +[ OK ] MVNLayerTest/1.TestForward (0 ms) +[ RUN ] MVNLayerTest/1.TestGradientAcrossChannels +[ OK ] MVNLayerTest/1.TestGradientAcrossChannels (365 ms) +[ RUN ] MVNLayerTest/1.TestGradient +[ OK ] MVNLayerTest/1.TestGradient (365 ms) +[ RUN ] MVNLayerTest/1.TestForwardMeanOnly +[ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) +[----------] 6 tests from MVNLayerTest/1 (952 ms total) + +[----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (7 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (88 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (36 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (89 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (20 ms) +[ RUN ] NesterovSolverTest/1.TestSnapshotShare +[ OK ] NesterovSolverTest/1.TestSnapshotShare (44 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (19 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (92 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (20 ms) +[ RUN ] NesterovSolverTest/1.TestSnapshot +[ OK ] NesterovSolverTest/1.TestSnapshot (44 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (8 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (99 ms) +[----------] 12 tests from NesterovSolverTest/1 (567 ms total) + +[----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] TileLayerTest/0.TestTrivialSetup +[ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) +[ RUN ] TileLayerTest/0.TestGradientChannels +[ OK ] TileLayerTest/0.TestGradientChannels (409 ms) +[ RUN ] TileLayerTest/0.TestTrivialGradient +[ OK ] TileLayerTest/0.TestTrivialGradient (80 ms) +[ RUN ] TileLayerTest/0.TestSetup +[ OK ] TileLayerTest/0.TestSetup (0 ms) +[ RUN ] TileLayerTest/0.TestForwardChannels +[ OK ] TileLayerTest/0.TestForwardChannels (0 ms) +[ RUN ] TileLayerTest/0.TestGradientNum +[ OK ] TileLayerTest/0.TestGradientNum (281 ms) +[ RUN ] TileLayerTest/0.TestForwardNum +[ OK ] TileLayerTest/0.TestForwardNum (0 ms) +[----------] 7 tests from TileLayerTest/0 (770 ms total) + +[----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] PoolingLayerTest/0.TestGradientAve +[ OK ] PoolingLayerTest/0.TestGradientAve (351 ms) +[ RUN ] PoolingLayerTest/0.TestGradientMax +[ OK ] PoolingLayerTest/0.TestGradientMax (1231 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMax +[ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) +[ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask +[ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (753 ms) +[ RUN ] PoolingLayerTest/0.TestForwardAve +[ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetup +[ OK ] PoolingLayerTest/0.TestSetup (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetupPadded +[ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling +[ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) +[ RUN ] PoolingLayerTest/0.TestGradientAvePadded +[ OK ] PoolingLayerTest/0.TestGradientAvePadded (1254 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask +[ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMaxPadded +[ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) +[----------] 11 tests from PoolingLayerTest/0 (3589 ms total) [----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB [ RUN ] DBTest/0.TestSeekToFirst -[ OK ] DBTest/0.TestSeekToFirst (19 ms) -[ RUN ] DBTest/0.TestKeyValue -[ OK ] DBTest/0.TestKeyValue (25 ms) +[ OK ] DBTest/0.TestSeekToFirst (33 ms) [ RUN ] DBTest/0.TestNext -[ OK ] DBTest/0.TestNext (35 ms) +[ OK ] DBTest/0.TestNext (33 ms) [ RUN ] DBTest/0.TestGetDB [ OK ] DBTest/0.TestGetDB (21 ms) [ RUN ] DBTest/0.TestWrite -[ OK ] DBTest/0.TestWrite (36 ms) -[----------] 5 tests from DBTest/0 (136 ms total) - -[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (15 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (99 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (92 ms) -[ RUN ] SGDSolverTest/1.TestSnapshot -[ OK ] SGDSolverTest/1.TestSnapshot (31 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (46 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (22 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (8 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (4 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (81 ms) -[ RUN ] SGDSolverTest/1.TestSnapshotShare -[ OK ] SGDSolverTest/1.TestSnapshotShare (23 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (28 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (71 ms) -[----------] 12 tests from SGDSolverTest/1 (528 ms total) - -[----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AdaGradSolverTest/0.TestSnapshotShare -[ OK ] AdaGradSolverTest/0.TestSnapshotShare (18 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (85 ms) -[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (67 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (13 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (13 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (13 ms) -[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) -[ RUN ] AdaGradSolverTest/0.TestSnapshot -[ OK ] AdaGradSolverTest/0.TestSnapshot (13 ms) -[----------] 9 tests from AdaGradSolverTest/0 (228 ms total) +[ OK ] DBTest/0.TestWrite (38 ms) +[ RUN ] DBTest/0.TestKeyValue +[ OK ] DBTest/0.TestKeyValue (43 ms) +[----------] 5 tests from DBTest/0 (168 ms total) -[----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] HingeLossLayerTest/1.TestGradientL2 -[ OK ] HingeLossLayerTest/1.TestGradientL2 (1 ms) -[ RUN ] HingeLossLayerTest/1.TestGradientL1 -[ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) -[----------] 2 tests from HingeLossLayerTest/1 (1 ms total) +[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] TanHLayerTest/1.TestTanHGradient +[ OK ] TanHLayerTest/1.TestTanHGradient (6 ms) +[ RUN ] TanHLayerTest/1.TestTanHOverflow +[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) +[ RUN ] TanHLayerTest/1.TestTanH +[ OK ] TanHLayerTest/1.TestTanH (0 ms) +[----------] 3 tests from TanHLayerTest/1 (6 ms total) -[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LayerFactoryTest/0.TestCreateLayer -[ OK ] LayerFactoryTest/0.TestCreateLayer (1 ms) -[----------] 1 test from LayerFactoryTest/0 (1 ms total) +[----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double +[ RUN ] PositiveUnitballFillerTest/1.TestFill +[ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) +[ RUN ] PositiveUnitballFillerTest/1.TestFill2D +[ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) +[ RUN ] PositiveUnitballFillerTest/1.TestFill5D +[ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) +[ RUN ] PositiveUnitballFillerTest/1.TestFill1D +[ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) +[----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) -[----------] 2 tests from InternalThreadTest -[ RUN ] InternalThreadTest.TestStartAndExit -[ OK ] InternalThreadTest.TestStartAndExit (12 ms) -[ RUN ] InternalThreadTest.TestRandomSeed -[ OK ] InternalThreadTest.TestRandomSeed (1 ms) -[----------] 2 tests from InternalThreadTest (13 ms total) +[----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxLayerTest/1.TestGradient +[ OK ] SoftmaxLayerTest/1.TestGradient (227 ms) +[ RUN ] SoftmaxLayerTest/1.TestForward +[ OK ] SoftmaxLayerTest/1.TestForward (0 ms) +[----------] 2 tests from SoftmaxLayerTest/1 (227 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) -[ RUN ] InfogainLossLayerTest/0.TestGradient -[ OK ] InfogainLossLayerTest/0.TestGradient (1 ms) -[----------] 2 tests from InfogainLossLayerTest/0 (1 ms total) +[----------] 2 tests from InfogainLossLayerTest/0 (3 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 (4516 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 (4516 ms total) +[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SplitLayerTest/0.Test +[ OK ] SplitLayerTest/0.Test (0 ms) +[ RUN ] SplitLayerTest/0.TestSetup +[ OK ] SplitLayerTest/0.TestSetup (0 ms) +[ RUN ] SplitLayerTest/0.TestGradient +[ OK ] SplitLayerTest/0.TestGradient (9 ms) +[----------] 3 tests from SplitLayerTest/0 (9 ms total) -[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (183 ms) -[ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam -[ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientEltwise -[ OK ] ScaleLayerTest/0.TestGradientEltwise (11 ms) -[ RUN ] ScaleLayerTest/0.TestGradientScale -[ OK ] ScaleLayerTest/0.TestGradientScale (145 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardScale -[ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) -[ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd -[ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (316 ms) -[ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace -[ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin -[ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (183 ms) -[ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 -[ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam -[ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (565 ms) -[ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias -[ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (189 ms) -[ RUN ] ScaleLayerTest/0.TestForwardEltwise -[ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) -[ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace -[ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd -[ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle -[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (118 ms) -[ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 -[ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (127 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin -[ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) -[----------] 22 tests from ScaleLayerTest/0 (1838 ms total) +[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ConvolutionLayerTest/1.TestGradientGroup +[ OK ] ConvolutionLayerTest/1.TestGradientGroup (28 ms) +[ RUN ] ConvolutionLayerTest/1.TestSobelConvolution +[ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution +[ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (2 ms) +[ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D +[ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (1015 ms) +[ RUN ] ConvolutionLayerTest/1.Test1x1Convolution +[ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.Test0DConvolution +[ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestSetup +[ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) +[ RUN ] ConvolutionLayerTest/1.Test1x1Gradient +[ OK ] ConvolutionLayerTest/1.Test1x1Gradient (881 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradient +[ OK ] ConvolutionLayerTest/1.TestGradient (115 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution +[ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (12 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution +[ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (1 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup +[ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradient3D +[ OK ] ConvolutionLayerTest/1.TestGradient3D (824 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilatedGradient +[ OK ] ConvolutionLayerTest/1.TestDilatedGradient (26 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution +[ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (2 ms) +[----------] 15 tests from ConvolutionLayerTest/1 (2907 ms total) -[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] TanHLayerTest/1.TestTanHGradient -[ OK ] TanHLayerTest/1.TestTanHGradient (9 ms) -[ RUN ] TanHLayerTest/1.TestTanH -[ OK ] TanHLayerTest/1.TestTanH (0 ms) -[ RUN ] TanHLayerTest/1.TestTanHOverflow -[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) -[----------] 3 tests from TanHLayerTest/1 (9 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) -[----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float -[ RUN ] PositiveUnitballFillerTest/0.TestFill2D -[ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) -[ RUN ] PositiveUnitballFillerTest/0.TestFill1D -[ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) -[ RUN ] PositiveUnitballFillerTest/0.TestFill -[ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) -[ RUN ] PositiveUnitballFillerTest/0.TestFill5D -[ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) -[----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) +[----------] 3 tests from ThresholdLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ThresholdLayerTest/1.TestSetup +[ OK ] ThresholdLayerTest/1.TestSetup (0 ms) +[ RUN ] ThresholdLayerTest/1.Test +[ OK ] ThresholdLayerTest/1.Test (0 ms) +[ RUN ] ThresholdLayerTest/1.Test2 +[ OK ] ThresholdLayerTest/1.Test2 (0 ms) +[----------] 3 tests from ThresholdLayerTest/1 (0 ms total) + +[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] RNNLayerTest/0.TestSetUp +[ OK ] RNNLayerTest/0.TestSetUp (2 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1187 ms) +[ RUN ] RNNLayerTest/0.TestGradient +[ OK ] RNNLayerTest/0.TestGradient (146 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 +[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (416 ms) +[ RUN ] RNNLayerTest/0.TestForward +[ OK ] RNNLayerTest/0.TestForward (6 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroCont +[ OK ] RNNLayerTest/0.TestGradientNonZeroCont (135 ms) +[----------] 6 tests from RNNLayerTest/0 (1893 ms total) [----------] 26 tests from IOTest -[ RUN ] IOTest.TestReadImageToDatumResizedGray -[ OK ] IOTest.TestReadImageToDatumResizedGray (8 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatContentNative -[ OK ] IOTest.TestDecodeDatumToCVMatContentNative (24 ms) -[ RUN ] IOTest.TestReadImageToDatumReference -[ OK ] IOTest.TestReadImageToDatumReference (23 ms) -[ RUN ] IOTest.TestReadImageToDatumResized -[ OK ] IOTest.TestReadImageToDatumResized (5 ms) -[ RUN ] IOTest.TestDecodeDatumNative -[ OK ] IOTest.TestDecodeDatumNative (22 ms) -[ RUN ] IOTest.TestCVMatToDatumReference -[ OK ] IOTest.TestCVMatToDatumReference (25 ms) -[ RUN ] IOTest.TestDecodeDatumNativeGray -[ OK ] IOTest.TestDecodeDatumNativeGray (73 ms) -[ RUN ] IOTest.TestReadImageToCVMat -[ OK ] IOTest.TestReadImageToCVMat (11 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatContent -[ OK ] IOTest.TestDecodeDatumToCVMatContent (19 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMat -[ OK ] IOTest.TestDecodeDatumToCVMat (11 ms) -[ RUN ] IOTest.TestReadFileToDatum -[ OK ] IOTest.TestReadFileToDatum (0 ms) -[ RUN ] IOTest.TestCVMatToDatumContent -[ OK ] IOTest.TestCVMatToDatumContent (22 ms) -[ RUN ] IOTest.TestReadImageToCVMatResizedSquare -[ OK ] IOTest.TestReadImageToCVMatResizedSquare (5 ms) -[ RUN ] IOTest.TestReadImageToDatum -[ OK ] IOTest.TestReadImageToDatum (12 ms) -[ RUN ] IOTest.TestReadImageToCVMatResizedGray -[ OK ] IOTest.TestReadImageToCVMatResizedGray (3 ms) [ RUN ] IOTest.TestReadImageToCVMatResized -[ OK ] IOTest.TestReadImageToCVMatResized (12 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray -[ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (2 ms) -[ RUN ] IOTest.TestReadImageToDatumContentGray -[ OK ] IOTest.TestReadImageToDatumContentGray (11 ms) +[ OK ] IOTest.TestReadImageToCVMatResized (7 ms) +[ RUN ] IOTest.TestReadImageToDatumResizedSquare +[ OK ] IOTest.TestReadImageToDatumResizedSquare (6 ms) +[ RUN ] IOTest.TestReadImageToCVMat +[ OK ] IOTest.TestReadImageToCVMat (6 ms) [ RUN ] IOTest.TestReadImageToCVMatGray [ OK ] IOTest.TestReadImageToCVMatGray (3 ms) +[ RUN ] IOTest.TestReadImageToDatumResizedGray +[ OK ] IOTest.TestReadImageToDatumResizedGray (4 ms) +[ RUN ] IOTest.TestCVMatToDatum +[ OK ] IOTest.TestCVMatToDatum (7 ms) [ RUN ] IOTest.TestReadImageToDatumReferenceResized -[ OK ] IOTest.TestReadImageToDatumReferenceResized (16 ms) +[ OK ] IOTest.TestReadImageToDatumReferenceResized (14 ms) +[ RUN ] IOTest.TestDecodeDatumNative +[ OK ] IOTest.TestDecodeDatumNative (18 ms) +[ RUN ] IOTest.TestReadImageToDatumContentGray +[ OK ] IOTest.TestReadImageToDatumContentGray (9 ms) [ RUN ] IOTest.TestReadImageToDatumContent [ OK ] IOTest.TestReadImageToDatumContent (15 ms) -[ RUN ] IOTest.TestCVMatToDatum -[ OK ] IOTest.TestCVMatToDatum (13 ms) -[ RUN ] IOTest.TestReadImageToDatumResizedSquare -[ OK ] IOTest.TestReadImageToDatumResizedSquare (8 ms) -[ RUN ] IOTest.TestDecodeDatum -[ OK ] IOTest.TestDecodeDatum (24 ms) +[ RUN ] IOTest.TestReadImageToDatum +[ OK ] IOTest.TestReadImageToDatum (7 ms) +[ RUN ] IOTest.TestReadFileToDatum +[ OK ] IOTest.TestReadFileToDatum (0 ms) +[ RUN ] IOTest.TestCVMatToDatumReference +[ OK ] IOTest.TestCVMatToDatumReference (17 ms) [ RUN ] IOTest.TestReadImageToDatumGray -[ OK ] IOTest.TestReadImageToDatumGray (4 ms) +[ OK ] IOTest.TestReadImageToDatumGray (5 ms) +[ RUN ] IOTest.TestReadImageToCVMatResizedGray +[ OK ] IOTest.TestReadImageToCVMatResizedGray (4 ms) +[ RUN ] IOTest.TestDecodeDatumNativeGray +[ OK ] IOTest.TestDecodeDatumNativeGray (18 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatContent +[ OK ] IOTest.TestDecodeDatumToCVMatContent (17 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMat +[ OK ] IOTest.TestDecodeDatumToCVMat (8 ms) +[ RUN ] IOTest.TestReadImageToCVMatResizedSquare +[ OK ] IOTest.TestReadImageToCVMatResizedSquare (7 ms) [ RUN ] IOTest.TestDecodeDatumToCVMatNative [ OK ] IOTest.TestDecodeDatumToCVMatNative (5 ms) -[----------] 26 tests from IOTest (376 ms total) - -[----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] NetTest/0.TestUnsharedWeightsDataNet -[ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) -[ RUN ] NetTest/0.TestAllInOneNetDeploy -[ OK ] NetTest/0.TestAllInOneNetDeploy (0 ms) -[ RUN ] NetTest/0.TestHasLayer -[ OK ] NetTest/0.TestHasLayer (1 ms) -[ RUN ] NetTest/0.TestUnsharedWeightsDiffNet -[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (0 ms) -[ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce -[ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) -[ RUN ] NetTest/0.TestBottomNeedBackwardForce -[ OK ] NetTest/0.TestBottomNeedBackwardForce (0 ms) -[ RUN ] NetTest/0.TestFromTo -[ OK ] NetTest/0.TestFromTo (3 ms) -[ RUN ] NetTest/0.TestLossWeightMidNet -[ OK ] NetTest/0.TestLossWeightMidNet (4 ms) -[ RUN ] NetTest/0.TestParamPropagateDown -[ OK ] NetTest/0.TestParamPropagateDown (5 ms) -[ RUN ] NetTest/0.TestAllInOneNetTrain -[ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) -[ RUN ] NetTest/0.TestBottomNeedBackward -[ OK ] NetTest/0.TestBottomNeedBackward (0 ms) -[ RUN ] NetTest/0.TestSkipPropagateDown -[ OK ] NetTest/0.TestSkipPropagateDown (2 ms) -[ RUN ] NetTest/0.TestReshape -[ OK ] NetTest/0.TestReshape (0 ms) -[ RUN ] NetTest/0.TestSharedWeightsResume -[ OK ] NetTest/0.TestSharedWeightsResume (0 ms) -[ RUN ] NetTest/0.TestComboLossWeight -[ OK ] NetTest/0.TestComboLossWeight (3 ms) -[ RUN ] NetTest/0.TestGetLayerByName -[ OK ] NetTest/0.TestGetLayerByName (1 ms) -[ RUN ] NetTest/0.TestAllInOneNetVal -[ OK ] NetTest/0.TestAllInOneNetVal (0 ms) -[ RUN ] NetTest/0.TestForcePropagateDown -[ OK ] NetTest/0.TestForcePropagateDown (1 ms) -[ RUN ] NetTest/0.TestHasBlob -[ OK ] NetTest/0.TestHasBlob (1 ms) -[ RUN ] NetTest/0.TestBottomNeedBackwardTricky -[ OK ] NetTest/0.TestBottomNeedBackwardTricky (0 ms) -[ RUN ] NetTest/0.TestLossWeight -[ OK ] NetTest/0.TestLossWeight (3 ms) -[ RUN ] NetTest/0.TestSharedWeightsDiffNet -[ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) -[ RUN ] NetTest/0.TestGetBlob -[ OK ] NetTest/0.TestGetBlob (1 ms) -[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer -[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (1 ms) -[ RUN ] NetTest/0.TestSharedWeightsUpdate -[ OK ] NetTest/0.TestSharedWeightsUpdate (1 ms) -[ RUN ] NetTest/0.TestSharedWeightsDataNet -[ OK ] NetTest/0.TestSharedWeightsDataNet (0 ms) -[----------] 26 tests from NetTest/0 (32 ms total) - -[----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (14 ms) -[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (27 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (25 ms) -[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) -[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (65 ms) -[ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare -[ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (18 ms) -[ RUN ] AdaDeltaSolverTest/0.TestSnapshot -[ OK ] AdaDeltaSolverTest/0.TestSnapshot (15 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (64 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (68 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (13 ms) -[----------] 11 tests from AdaDeltaSolverTest/0 (314 ms total) - -[----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float -[ RUN ] DummyDataLayerTest/0.TestTwoTopConstant -[ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) -[ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant -[ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) -[ RUN ] DummyDataLayerTest/0.TestOneTopConstant -[ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) -[----------] 3 tests from DummyDataLayerTest/0 (0 ms total) +[ RUN ] IOTest.TestDecodeDatum +[ OK ] IOTest.TestDecodeDatum (17 ms) +[ RUN ] IOTest.TestCVMatToDatumContent +[ OK ] IOTest.TestCVMatToDatumContent (15 ms) +[ RUN ] IOTest.TestReadImageToDatumReference +[ OK ] IOTest.TestReadImageToDatumReference (16 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray +[ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (3 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatContentNative +[ OK ] IOTest.TestDecodeDatumToCVMatContentNative (16 ms) +[ RUN ] IOTest.TestReadImageToDatumResized +[ OK ] IOTest.TestReadImageToDatumResized (6 ms) +[----------] 26 tests from IOTest (251 ms total) -[----------] 4 tests from UniformFillerTest/0, where TypeParam = float -[ RUN ] UniformFillerTest/0.TestFill -[ OK ] UniformFillerTest/0.TestFill (0 ms) -[ RUN ] UniformFillerTest/0.TestFill5D -[ OK ] UniformFillerTest/0.TestFill5D (0 ms) -[ RUN ] UniformFillerTest/0.TestFill2D -[ OK ] UniformFillerTest/0.TestFill2D (0 ms) -[ RUN ] UniformFillerTest/0.TestFill1D -[ OK ] UniformFillerTest/0.TestFill1D (0 ms) -[----------] 4 tests from UniformFillerTest/0 (0 ms total) +[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LSTMLayerTest/1.TestSetUp +[ OK ] LSTMLayerTest/1.TestSetUp (2 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont +[ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (49 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (5155 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient +[ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (82 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont +[ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (733 ms) +[ RUN ] LSTMLayerTest/1.TestForward +[ OK ] LSTMLayerTest/1.TestForward (10 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp +[ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 +[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (641 ms) +[ RUN ] LSTMLayerTest/1.TestGradient +[ OK ] LSTMLayerTest/1.TestGradient (351 ms) +[----------] 9 tests from LSTMLayerTest/1 (7023 ms total) -[----------] 6 tests from XavierFillerTest/0, where TypeParam = float -[ RUN ] XavierFillerTest/0.TestFillAverage -[ OK ] XavierFillerTest/0.TestFillAverage (55 ms) -[ RUN ] XavierFillerTest/0.TestFill2D -[ OK ] XavierFillerTest/0.TestFill2D (0 ms) -[ RUN ] XavierFillerTest/0.TestFillFanIn -[ OK ] XavierFillerTest/0.TestFillFanIn (71 ms) -[ RUN ] XavierFillerTest/0.TestFillFanOut -[ OK ] XavierFillerTest/0.TestFillFanOut (71 ms) -[ RUN ] XavierFillerTest/0.TestFill5D -[ OK ] XavierFillerTest/0.TestFill5D (0 ms) -[ RUN ] XavierFillerTest/0.TestFill1D -[ OK ] XavierFillerTest/0.TestFill1D (0 ms) -[----------] 6 tests from XavierFillerTest/0 (197 ms total) +[----------] 6 tests from MSRAFillerTest/0, where TypeParam = float +[ RUN ] MSRAFillerTest/0.TestFillFanOut +[ OK ] MSRAFillerTest/0.TestFillFanOut (135 ms) +[ RUN ] MSRAFillerTest/0.TestFill5D +[ OK ] MSRAFillerTest/0.TestFill5D (0 ms) +[ RUN ] MSRAFillerTest/0.TestFill1D +[ OK ] MSRAFillerTest/0.TestFill1D (0 ms) +[ RUN ] MSRAFillerTest/0.TestFillAverage +[ OK ] MSRAFillerTest/0.TestFillAverage (137 ms) +[ RUN ] MSRAFillerTest/0.TestFill2D +[ OK ] MSRAFillerTest/0.TestFill2D (0 ms) +[ RUN ] MSRAFillerTest/0.TestFillFanIn +[ OK ] MSRAFillerTest/0.TestFillFanIn (61 ms) +[----------] 6 tests from MSRAFillerTest/0 (335 ms total) -[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] EltwiseLayerTest/0.TestSumGradient -[ OK ] EltwiseLayerTest/0.TestSumGradient (9 ms) -[ RUN ] EltwiseLayerTest/0.TestSum -[ OK ] EltwiseLayerTest/0.TestSum (0 ms) -[ RUN ] EltwiseLayerTest/0.TestMax -[ OK ] EltwiseLayerTest/0.TestMax (0 ms) -[ RUN ] EltwiseLayerTest/0.TestMaxGradient -[ OK ] EltwiseLayerTest/0.TestMaxGradient (9 ms) -[ RUN ] EltwiseLayerTest/0.TestStableProdGradient -[ OK ] EltwiseLayerTest/0.TestStableProdGradient (8 ms) -[ RUN ] EltwiseLayerTest/0.TestProd -[ OK ] EltwiseLayerTest/0.TestProd (0 ms) -[ RUN ] EltwiseLayerTest/0.TestSetUp -[ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) -[ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient -[ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (4 ms) -[ RUN ] EltwiseLayerTest/0.TestSumCoeff -[ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) -[ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient -[ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (8 ms) -[----------] 10 tests from EltwiseLayerTest/0 (39 ms total) +[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LayerFactoryTest/1.TestCreateLayer +[ OK ] LayerFactoryTest/1.TestCreateLayer (2 ms) +[----------] 1 test from LayerFactoryTest/1 (2 ms total) -[----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SolverFactoryTest/0.TestCreateSolver -[ OK ] SolverFactoryTest/0.TestCreateSolver (0 ms) -[----------] 1 test from SolverFactoryTest/0 (0 ms total) +[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5OutputLayerTest/1.TestForward +[ OK ] HDF5OutputLayerTest/1.TestForward (4 ms) +[----------] 1 test from HDF5OutputLayerTest/1 (4 ms total) -[----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BatchReindexLayerTest/0.TestGradient -[ OK ] BatchReindexLayerTest/0.TestGradient (203 ms) -[ RUN ] BatchReindexLayerTest/0.TestForward -[ OK ] BatchReindexLayerTest/0.TestForward (0 ms) -[----------] 2 tests from BatchReindexLayerTest/0 (203 ms total) +[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5DataLayerTest/1.TestRead +[ OK ] HDF5DataLayerTest/1.TestRead (13 ms) +[ RUN ] HDF5DataLayerTest/1.TestSkip +[ OK ] HDF5DataLayerTest/1.TestSkip (45 ms) +[----------] 2 tests from HDF5DataLayerTest/1 (58 ms total) -[----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] EmbedLayerTest/0.TestGradient -[ OK ] EmbedLayerTest/0.TestGradient (15 ms) -[ RUN ] EmbedLayerTest/0.TestSetUp -[ OK ] EmbedLayerTest/0.TestSetUp (0 ms) -[ RUN ] EmbedLayerTest/0.TestForward -[ OK ] EmbedLayerTest/0.TestForward (1 ms) -[ RUN ] EmbedLayerTest/0.TestForwardWithBias -[ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) -[ RUN ] EmbedLayerTest/0.TestGradientWithBias -[ OK ] EmbedLayerTest/0.TestGradientWithBias (26 ms) -[----------] 5 tests from EmbedLayerTest/0 (42 ms total) +[----------] 4 tests from ConstantFillerTest/0, where TypeParam = float +[ RUN ] ConstantFillerTest/0.TestFill1D +[ OK ] ConstantFillerTest/0.TestFill1D (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill5D +[ OK ] ConstantFillerTest/0.TestFill5D (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill +[ OK ] ConstantFillerTest/0.TestFill (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill2D +[ OK ] ConstantFillerTest/0.TestFill2D (0 ms) +[----------] 4 tests from ConstantFillerTest/0 (0 ms total) -[----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] NeuronLayerTest/0.TestAbsGradient -[ OK ] NeuronLayerTest/0.TestAbsGradient (5 ms) -[ RUN ] NeuronLayerTest/0.TestClipGradient -[ OK ] NeuronLayerTest/0.TestClipGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared -[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwishWithBeta -[ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient -[ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (9 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2 (2 ms) -[ RUN ] NeuronLayerTest/0.TestELUasReLUGradient -[ OK ] NeuronLayerTest/0.TestELUasReLUGradient (10 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerWithShift -[ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) -[ RUN ] NeuronLayerTest/0.TestTanHGradient -[ OK ] NeuronLayerTest/0.TestTanHGradient (9 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU -[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) -[ RUN ] NeuronLayerTest/0.TestELUasReLU -[ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUParam -[ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutHalf -[ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) -[ RUN ] NeuronLayerTest/0.TestTanH -[ OK ] NeuronLayerTest/0.TestTanH (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (3 ms) -[ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient -[ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (6 ms) -[ RUN ] NeuronLayerTest/0.TestSigmoidGradient -[ OK ] NeuronLayerTest/0.TestSigmoidGradient (8 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradient -[ OK ] NeuronLayerTest/0.TestExpGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestSwishGradient -[ OK ] NeuronLayerTest/0.TestSwishGradient (5 ms) -[ RUN ] NeuronLayerTest/0.TestELUGradient -[ OK ] NeuronLayerTest/0.TestELUGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters -[ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (2 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientWithShift -[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) -[ RUN ] NeuronLayerTest/0.TestBNLLGradient -[ OK ] NeuronLayerTest/0.TestBNLLGradient (4 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestBNLL -[ OK ] NeuronLayerTest/0.TestBNLL (0 ms) -[ RUN ] NeuronLayerTest/0.TestReLUGradient -[ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (1 ms) -[ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope -[ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (1 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradient -[ OK ] NeuronLayerTest/0.TestLogGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2 (2 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutGradient -[ OK ] NeuronLayerTest/0.TestDropoutGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope -[ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared -[ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (180 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUInPlace -[ OK ] NeuronLayerTest/0.TestPReLUInPlace (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.TestPReLUGradient -[ OK ] NeuronLayerTest/0.TestPReLUGradient (203 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (2 ms) -[ RUN ] NeuronLayerTest/0.TestAbsVal -[ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (7 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutTestPhase -[ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) -[ RUN ] NeuronLayerTest/0.TestClip -[ OK ] NeuronLayerTest/0.TestClip (0 ms) -[ RUN ] NeuronLayerTest/0.TestSigmoid -[ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayer -[ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestELU -[ OK ] NeuronLayerTest/0.TestELU (0 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutGradientTest -[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (2 ms) -[ RUN ] NeuronLayerTest/0.TestSwishAsLinear -[ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (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.TestExpLayerBase2 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwish -[ OK ] NeuronLayerTest/0.TestSwish (0 ms) -[----------] 58 tests from NeuronLayerTest/0 (499 ms total) +[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SGDSolverTest/1.TestSnapshot +[ OK ] SGDSolverTest/1.TestSnapshot (35 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (89 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (36 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (36 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (91 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (90 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (19 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (97 ms) +[ RUN ] SGDSolverTest/1.TestSnapshotShare +[ OK ] SGDSolverTest/1.TestSnapshotShare (39 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (18 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) +[----------] 12 tests from SGDSolverTest/1 (563 ms total) -[----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AccuracyLayerTest/1.TestSetup -[ OK ] AccuracyLayerTest/1.TestSetup (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel -[ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes -[ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardPerClass -[ OK ] AccuracyLayerTest/1.TestForwardPerClass (5 ms) -[ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass -[ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardTopK -[ OK ] AccuracyLayerTest/1.TestForwardTopK (4 ms) -[ RUN ] AccuracyLayerTest/1.TestForward -[ OK ] AccuracyLayerTest/1.TestForward (4 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel -[ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) -[ RUN ] AccuracyLayerTest/1.TestSetupTopK -[ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) -[----------] 9 tests from AccuracyLayerTest/1 (14 ms total) +[----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double +[ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU +[ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (0 ms) +[----------] 1 test from MultinomialLogisticLossLayerTest/1 (0 ms total) [----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double [ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant [ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) -[ RUN ] DummyDataLayerTest/1.TestOneTopConstant -[ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [ RUN ] DummyDataLayerTest/1.TestTwoTopConstant [ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/1.TestOneTopConstant +[ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) [----------] 3 tests from DummyDataLayerTest/1 (0 ms total) -[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution -[ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) -[ RUN ] DeconvolutionLayerTest/0.TestGradient3D -[ OK ] DeconvolutionLayerTest/0.TestGradient3D (271 ms) -[ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D -[ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (1918 ms) -[ RUN ] DeconvolutionLayerTest/0.TestSetup -[ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) -[ RUN ] DeconvolutionLayerTest/0.TestGradient -[ OK ] DeconvolutionLayerTest/0.TestGradient (1257 ms) -[----------] 5 tests from DeconvolutionLayerTest/0 (3447 ms total) +[----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] FlattenLayerTest/0.TestGradient +[ OK ] FlattenLayerTest/0.TestGradient (4 ms) +[ RUN ] FlattenLayerTest/0.TestSetup +[ OK ] FlattenLayerTest/0.TestSetup (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithAxis +[ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis +[ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis +[ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestForward +[ OK ] FlattenLayerTest/0.TestForward (0 ms) +[----------] 6 tests from FlattenLayerTest/0 (4 ms total) -[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SplitLayerTest/0.TestGradient -[ OK ] SplitLayerTest/0.TestGradient (9 ms) -[ RUN ] SplitLayerTest/0.Test -[ OK ] SplitLayerTest/0.Test (0 ms) -[ RUN ] SplitLayerTest/0.TestSetup -[ OK ] SplitLayerTest/0.TestSetup (0 ms) -[----------] 3 tests from SplitLayerTest/0 (16 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 (408 ms) +[ RUN ] FilterLayerTest/1.TestForward +[ OK ] FilterLayerTest/1.TestForward (0 ms) +[----------] 3 tests from FilterLayerTest/1 (408 ms total) + +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (1 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (10 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (12 ms total) + +[----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB +[ RUN ] DBTest/1.TestGetDB +[ OK ] DBTest/1.TestGetDB (29 ms) +[ RUN ] DBTest/1.TestSeekToFirst +[ OK ] DBTest/1.TestSeekToFirst (33 ms) +[ RUN ] DBTest/1.TestNext +[ OK ] DBTest/1.TestNext (12 ms) +[ RUN ] DBTest/1.TestKeyValue +[ OK ] DBTest/1.TestKeyValue (14 ms) +[ RUN ] DBTest/1.TestWrite +[ OK ] DBTest/1.TestWrite (13 ms) +[----------] 5 tests from DBTest/1 (101 ms total) + +[----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EltwiseLayerTest/1.TestSetUp +[ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSum +[ OK ] EltwiseLayerTest/1.TestSum (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSumGradient +[ OK ] EltwiseLayerTest/1.TestSumGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestProd +[ OK ] EltwiseLayerTest/1.TestProd (0 ms) +[ RUN ] EltwiseLayerTest/1.TestMaxGradient +[ OK ] EltwiseLayerTest/1.TestMaxGradient (5 ms) +[ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient +[ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestStableProdGradient +[ OK ] EltwiseLayerTest/1.TestStableProdGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestMax +[ OK ] EltwiseLayerTest/1.TestMax (0 ms) +[ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient +[ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (4 ms) +[ RUN ] EltwiseLayerTest/1.TestSumCoeff +[ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) +[----------] 10 tests from EltwiseLayerTest/1 (22 ms total) + +[----------] 8 tests from SplitLayerInsertionTest +[ RUN ] SplitLayerInsertionTest.TestNoInsertion1 +[ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) +[ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop +[ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) +[ RUN ] SplitLayerInsertionTest.TestLossInsertion +[ OK ] SplitLayerInsertionTest.TestLossInsertion (0 ms) +[ RUN ] SplitLayerInsertionTest.TestWithInPlace +[ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace +[ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) +[ RUN ] SplitLayerInsertionTest.TestInsertion +[ OK ] SplitLayerInsertionTest.TestInsertion (0 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet +[ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (2 ms) +[ RUN ] SplitLayerInsertionTest.TestNoInsertion2 +[ OK ] SplitLayerInsertionTest.TestNoInsertion2 (0 ms) +[----------] 8 tests from SplitLayerInsertionTest (3 ms total) [----------] 4 tests from BlobSimpleTest/1, where TypeParam = double -[ RUN ] BlobSimpleTest/1.TestReshape -[ OK ] BlobSimpleTest/1.TestReshape (0 ms) +[ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals +[ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [ RUN ] BlobSimpleTest/1.TestInitialization [ OK ] BlobSimpleTest/1.TestInitialization (0 ms) +[ RUN ] BlobSimpleTest/1.TestReshape +[ OK ] BlobSimpleTest/1.TestReshape (0 ms) [ RUN ] BlobSimpleTest/1.TestReshapeZero [ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) -[ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals -[ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) [----------] 4 tests from BlobSimpleTest/1 (0 ms total) -[----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] PoolingLayerTest/1.TestSetup -[ OK ] PoolingLayerTest/1.TestSetup (0 ms) -[ RUN ] PoolingLayerTest/1.TestForwardMax -[ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) -[ RUN ] PoolingLayerTest/1.TestForwardMaxPadded -[ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) -[ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask -[ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) -[ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask -[ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (1076 ms) -[ RUN ] PoolingLayerTest/1.TestGradientMax -[ OK ] PoolingLayerTest/1.TestGradientMax (1342 ms) -[ RUN ] PoolingLayerTest/1.TestGradientAvePadded -[ OK ] PoolingLayerTest/1.TestGradientAvePadded (2074 ms) -[ RUN ] PoolingLayerTest/1.TestForwardAve -[ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) -[ RUN ] PoolingLayerTest/1.TestSetupPadded -[ OK ] PoolingLayerTest/1.TestSetupPadded (1 ms) -[ RUN ] PoolingLayerTest/1.TestGradientAve -[ OK ] PoolingLayerTest/1.TestGradientAve (571 ms) -[ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling -[ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) -[----------] 11 tests from PoolingLayerTest/1 (5064 ms total) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (1 ms) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (2 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) +[----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double +[ RUN ] CPUMathFunctionsTest/1.TestNothing +[ OK ] CPUMathFunctionsTest/1.TestNothing (4 ms) +[ RUN ] CPUMathFunctionsTest/1.TestSign +[ OK ] CPUMathFunctionsTest/1.TestSign (5 ms) +[ RUN ] CPUMathFunctionsTest/1.TestAsum +[ OK ] CPUMathFunctionsTest/1.TestAsum (4 ms) +[ RUN ] CPUMathFunctionsTest/1.TestFabs +[ OK ] CPUMathFunctionsTest/1.TestFabs (4 ms) +[ RUN ] CPUMathFunctionsTest/1.TestCopy +[ OK ] CPUMathFunctionsTest/1.TestCopy (5 ms) +[ RUN ] CPUMathFunctionsTest/1.TestSgnbit +[ OK ] CPUMathFunctionsTest/1.TestSgnbit (4 ms) +[ RUN ] CPUMathFunctionsTest/1.TestScale +[ OK ] CPUMathFunctionsTest/1.TestScale (4 ms) +[----------] 7 tests from CPUMathFunctionsTest/1 (30 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.TestInsertSingletonAxesEnd -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis -[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) -[ RUN ] ReshapeLayerTest/1.TestFlattenMiddle -[ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified -[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) -[ RUN ] ReshapeLayerTest/1.TestGradient -[ OK ] ReshapeLayerTest/1.TestGradient (11 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) -[ RUN ] ReshapeLayerTest/1.TestFlattenValues -[ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) -[ RUN ] ReshapeLayerTest/1.TestForward -[ OK ] ReshapeLayerTest/1.TestForward (0 ms) -[----------] 12 tests from ReshapeLayerTest/1 (11 ms total) +[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] RNNLayerTest/1.TestForward +[ OK ] RNNLayerTest/1.TestForward (4 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1132 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroCont +[ OK ] RNNLayerTest/1.TestGradientNonZeroCont (128 ms) +[ RUN ] RNNLayerTest/1.TestGradient +[ OK ] RNNLayerTest/1.TestGradient (127 ms) +[ RUN ] RNNLayerTest/1.TestSetUp +[ OK ] RNNLayerTest/1.TestSetUp (1 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 +[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (332 ms) +[----------] 6 tests from RNNLayerTest/1 (1725 ms total) -[----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] FlattenLayerTest/0.TestSetup -[ OK ] FlattenLayerTest/0.TestSetup (0 ms) -[ RUN ] FlattenLayerTest/0.TestGradient -[ OK ] FlattenLayerTest/0.TestGradient (4 ms) -[ RUN ] FlattenLayerTest/0.TestForward -[ OK ] FlattenLayerTest/0.TestForward (0 ms) -[ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis -[ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) -[ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis -[ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (4 ms) -[ RUN ] FlattenLayerTest/0.TestSetupWithAxis -[ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) -[----------] 6 tests from FlattenLayerTest/0 (8 ms total) +[----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BenchmarkTest/0.TestTimerStop +[ OK ] BenchmarkTest/0.TestTimerStop (0 ms) +[ RUN ] BenchmarkTest/0.TestTimerMilliSeconds +[ OK ] BenchmarkTest/0.TestTimerMilliSeconds (302 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 (304 ms) +[----------] 5 tests from BenchmarkTest/0 (606 ms total) + +[----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HingeLossLayerTest/1.TestGradientL1 +[ OK ] HingeLossLayerTest/1.TestGradientL1 (1 ms) +[ RUN ] HingeLossLayerTest/1.TestGradientL2 +[ OK ] HingeLossLayerTest/1.TestGradientL2 (0 ms) +[----------] 2 tests from HingeLossLayerTest/1 (1 ms total) + +[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] TileLayerTest/1.TestForwardNum +[ OK ] TileLayerTest/1.TestForwardNum (0 ms) +[ RUN ] TileLayerTest/1.TestTrivialGradient +[ OK ] TileLayerTest/1.TestTrivialGradient (213 ms) +[ RUN ] TileLayerTest/1.TestTrivialSetup +[ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) +[ RUN ] TileLayerTest/1.TestGradientNum +[ OK ] TileLayerTest/1.TestGradientNum (714 ms) +[ RUN ] TileLayerTest/1.TestGradientChannels +[ OK ] TileLayerTest/1.TestGradientChannels (731 ms) +[ RUN ] TileLayerTest/1.TestForwardChannels +[ OK ] TileLayerTest/1.TestForwardChannels (0 ms) +[ RUN ] TileLayerTest/1.TestSetup +[ OK ] TileLayerTest/1.TestSetup (0 ms) +[----------] 7 tests from TileLayerTest/1 (1658 ms total) + +[----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ContrastiveLossLayerTest/1.TestForward +[ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestGradient +[ OK ] ContrastiveLossLayerTest/1.TestGradient (454 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy +[ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy +[ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (230 ms) +[----------] 4 tests from ContrastiveLossLayerTest/1 (684 ms total) + +[----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SPPLayerTest/0.TestSetup +[ OK ] SPPLayerTest/0.TestSetup (0 ms) +[ RUN ] SPPLayerTest/0.TestForwardBackward +[ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) +[ RUN ] SPPLayerTest/0.TestGradient +[ OK ] SPPLayerTest/0.TestGradient (3904 ms) +[ RUN ] SPPLayerTest/0.TestEqualOutputDims +[ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) +[ RUN ] SPPLayerTest/0.TestEqualOutputDims2 +[ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) +[----------] 5 tests from SPPLayerTest/0 (3904 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) + +[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ReductionLayerTest/1.TestSum +[ OK ] ReductionLayerTest/1.TestSum (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 +[ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeff +[ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (5 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffGradient +[ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestMean +[ OK ] ReductionLayerTest/1.TestMean (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (2 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (9 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestMeanGradient +[ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestSetUp +[ OK ] ReductionLayerTest/1.TestSetUp (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient +[ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeff +[ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumGradient +[ OK ] ReductionLayerTest/1.TestAbsSumGradient (5 ms) +[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 +[ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (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.TestSumOfSquares +[ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumGradient +[ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 +[ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSum +[ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) +[----------] 27 tests from ReductionLayerTest/1 (28 ms total) + +[----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EuclideanLossLayerTest/1.TestForward +[ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) +[ RUN ] EuclideanLossLayerTest/1.TestGradient +[ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) +[----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total) + +[----------] 6 tests from MSRAFillerTest/1, where TypeParam = double +[ RUN ] MSRAFillerTest/1.TestFillFanIn +[ OK ] MSRAFillerTest/1.TestFillFanIn (201 ms) +[ RUN ] MSRAFillerTest/1.TestFillAverage +[ OK ] MSRAFillerTest/1.TestFillAverage (203 ms) +[ RUN ] MSRAFillerTest/1.TestFill2D +[ OK ] MSRAFillerTest/1.TestFill2D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFill1D +[ OK ] MSRAFillerTest/1.TestFill1D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFillFanOut +[ OK ] MSRAFillerTest/1.TestFillFanOut (198 ms) +[ RUN ] MSRAFillerTest/1.TestFill5D +[ OK ] MSRAFillerTest/1.TestFill5D (0 ms) +[----------] 6 tests from MSRAFillerTest/1 (602 ms total) + +[----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] CropLayerTest/1.TestCropAll +[ OK ] CropLayerTest/1.TestCropAll (0 ms) +[ RUN ] CropLayerTest/1.TestCrop5DGradient +[ OK ] CropLayerTest/1.TestCrop5DGradient (1966 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeDefault +[ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) +[ RUN ] CropLayerTest/1.TestCropAllOffset +[ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) +[ RUN ] CropLayerTest/1.TestCropHW +[ OK ] CropLayerTest/1.TestCropHW (0 ms) +[ RUN ] CropLayerTest/1.TestCrop5D +[ OK ] CropLayerTest/1.TestCrop5D (1 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeAll +[ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) +[ RUN ] CropLayerTest/1.TestCropAllGradient +[ OK ] CropLayerTest/1.TestCropAllGradient (316 ms) +[ RUN ] CropLayerTest/1.TestDimensionsCheck +[ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) +[ RUN ] CropLayerTest/1.TestCropHWGradient +[ OK ] CropLayerTest/1.TestCropHWGradient (531 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing +[ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) +[----------] 11 tests from CropLayerTest/1 (2815 ms total) + +[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution +[ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) +[ RUN ] ConvolutionLayerTest/0.Test0DConvolution +[ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestSetup +[ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution +[ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (3 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradient3D +[ OK ] ConvolutionLayerTest/0.TestGradient3D (823 ms) +[ RUN ] ConvolutionLayerTest/0.Test1x1Convolution +[ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup +[ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradientGroup +[ OK ] ConvolutionLayerTest/0.TestGradientGroup (26 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradient +[ OK ] ConvolutionLayerTest/0.TestGradient (101 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution +[ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (1 ms) +[ RUN ] ConvolutionLayerTest/0.TestSobelConvolution +[ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution +[ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (13 ms) +[ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D +[ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (530 ms) +[ RUN ] ConvolutionLayerTest/0.Test1x1Gradient +[ OK ] ConvolutionLayerTest/0.Test1x1Gradient (820 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilatedGradient +[ OK ] ConvolutionLayerTest/0.TestDilatedGradient (57 ms) +[----------] 15 tests from ConvolutionLayerTest/0 (2375 ms total) + +[----------] 4 tests from UniformFillerTest/1, where TypeParam = double +[ RUN ] UniformFillerTest/1.TestFill +[ OK ] UniformFillerTest/1.TestFill (0 ms) +[ RUN ] UniformFillerTest/1.TestFill1D +[ OK ] UniformFillerTest/1.TestFill1D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill2D +[ OK ] UniformFillerTest/1.TestFill2D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill5D +[ OK ] UniformFillerTest/1.TestFill5D (0 ms) +[----------] 4 tests from UniformFillerTest/1 (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 (1 ms) +[----------] 1 test from ProtoTest (1 ms total) + +[----------] 1 test from SolverTypeUpgradeTest +[ RUN ] SolverTypeUpgradeTest.TestSimple +[ OK ] SolverTypeUpgradeTest.TestSimple (0 ms) +[----------] 1 test from SolverTypeUpgradeTest (0 ms total) + +[----------] 2 tests from BilinearFillerTest/0, where TypeParam = float +[ RUN ] BilinearFillerTest/0.TestFillEven +[ OK ] BilinearFillerTest/0.TestFillEven (17 ms) +[ RUN ] BilinearFillerTest/0.TestFillOdd +[ OK ] BilinearFillerTest/0.TestFillOdd (27 ms) +[----------] 2 tests from BilinearFillerTest/0 (44 ms total) + +[----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel +[ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) +[ RUN ] AccuracyLayerTest/0.TestForward +[ OK ] AccuracyLayerTest/0.TestForward (1 ms) +[ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass +[ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardPerClass +[ OK ] AccuracyLayerTest/0.TestForwardPerClass (1 ms) +[ RUN ] AccuracyLayerTest/0.TestSetupTopK +[ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardTopK +[ OK ] AccuracyLayerTest/0.TestForwardTopK (16 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel +[ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) +[ RUN ] AccuracyLayerTest/0.TestSetup +[ OK ] AccuracyLayerTest/0.TestSetup (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes +[ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) +[----------] 9 tests from AccuracyLayerTest/0 (20 ms total) [----------] Global test environment tear-down -[==========] 1162 tests from 152 test cases ran. (112479 ms total) +[==========] 1162 tests from 152 test cases ran. (89075 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest @@ -14837,15 +14872,14 @@ make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test -Matplotlib is building the font cache; this may take a moment. .../build/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR -I1225 09:50:48.802058 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data -I1225 09:50:48.802110 1277751 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data -I1225 09:50:48.802119 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss -I1225 09:50:48.802124 1277751 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss -I1225 09:50:48.802130 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.623514 197118 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data +I0128 18:51:27.623589 197118 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data +I0128 18:51:27.623600 197118 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss +I0128 18:51:27.623605 197118 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss +I0128 18:51:27.623610 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -14887,35 +14921,35 @@ stage: "deploy" } } -I1225 09:50:48.802224 1277751 layer_factory.hpp:77] Creating layer deploy_data -I1225 09:50:48.802239 1277751 net.cpp:86] Creating Layer deploy_data -I1225 09:50:48.802248 1277751 net.cpp:382] deploy_data -> data -I1225 09:50:48.802286 1277751 net.cpp:124] Setting up deploy_data -I1225 09:50:48.802292 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.802301 1277751 net.cpp:139] Memory required for data: 400 -I1225 09:50:48.802305 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.802314 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.802318 1277751 net.cpp:408] ip <- data -I1225 09:50:48.802325 1277751 net.cpp:382] ip -> ip -I1225 09:50:48.802351 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.802356 1277751 net.cpp:131] Top shape: 1 2 (2) -I1225 09:50:48.802361 1277751 net.cpp:139] Memory required for data: 408 -I1225 09:50:48.802381 1277751 layer_factory.hpp:77] Creating layer pred -I1225 09:50:48.802389 1277751 net.cpp:86] Creating Layer pred -I1225 09:50:48.802394 1277751 net.cpp:408] pred <- ip -I1225 09:50:48.802402 1277751 net.cpp:382] pred -> pred -I1225 09:50:48.802418 1277751 net.cpp:124] Setting up pred -I1225 09:50:48.802423 1277751 net.cpp:131] Top shape: 1 2 (2) -I1225 09:50:48.802428 1277751 net.cpp:139] Memory required for data: 416 -I1225 09:50:48.802433 1277751 net.cpp:202] pred does not need backward computation. -I1225 09:50:48.802438 1277751 net.cpp:202] ip does not need backward computation. -I1225 09:50:48.802443 1277751 net.cpp:202] deploy_data does not need backward computation. -I1225 09:50:48.802446 1277751 net.cpp:244] This network produces output pred -I1225 09:50:48.802453 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.815601 1277751 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data -I1225 09:50:48.815621 1277751 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data -I1225 09:50:48.815631 1277751 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred -I1225 09:50:48.815637 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.623744 197118 layer_factory.hpp:77] Creating layer deploy_data +I0128 18:51:27.623762 197118 net.cpp:86] Creating Layer deploy_data +I0128 18:51:27.623770 197118 net.cpp:382] deploy_data -> data +I0128 18:51:27.623816 197118 net.cpp:124] Setting up deploy_data +I0128 18:51:27.623824 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.623833 197118 net.cpp:139] Memory required for data: 400 +I0128 18:51:27.623844 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.623860 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.623867 197118 net.cpp:408] ip <- data +I0128 18:51:27.623878 197118 net.cpp:382] ip -> ip +I0128 18:51:27.623911 197118 net.cpp:124] Setting up ip +I0128 18:51:27.623919 197118 net.cpp:131] Top shape: 1 2 (2) +I0128 18:51:27.623925 197118 net.cpp:139] Memory required for data: 408 +I0128 18:51:27.623947 197118 layer_factory.hpp:77] Creating layer pred +I0128 18:51:27.623960 197118 net.cpp:86] Creating Layer pred +I0128 18:51:27.623965 197118 net.cpp:408] pred <- ip +I0128 18:51:27.623973 197118 net.cpp:382] pred -> pred +I0128 18:51:27.623997 197118 net.cpp:124] Setting up pred +I0128 18:51:27.624002 197118 net.cpp:131] Top shape: 1 2 (2) +I0128 18:51:27.624008 197118 net.cpp:139] Memory required for data: 416 +I0128 18:51:27.624013 197118 net.cpp:202] pred does not need backward computation. +I0128 18:51:27.624017 197118 net.cpp:202] ip does not need backward computation. +I0128 18:51:27.624022 197118 net.cpp:202] deploy_data does not need backward computation. +I0128 18:51:27.624030 197118 net.cpp:244] This network produces output pred +I0128 18:51:27.624040 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.625689 197118 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data +I0128 18:51:27.625720 197118 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data +I0128 18:51:27.625730 197118 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred +I0128 18:51:27.625735 197118 net.cpp:53] Initializing net from parameters: state { phase: TRAIN level: 0 @@ -14969,41 +15003,41 @@ stage: "val" } } -I1225 09:50:48.815745 1277751 layer_factory.hpp:77] Creating layer train_data -I1225 09:50:48.815774 1277751 net.cpp:86] Creating Layer train_data -I1225 09:50:48.815784 1277751 net.cpp:382] train_data -> data -I1225 09:50:48.815802 1277751 net.cpp:382] train_data -> label -I1225 09:50:48.815825 1277751 net.cpp:124] Setting up train_data -I1225 09:50:48.815832 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.815843 1277751 net.cpp:131] Top shape: 1 1 1 1 (1) -I1225 09:50:48.815850 1277751 net.cpp:139] Memory required for data: 404 -I1225 09:50:48.815855 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.815865 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.815871 1277751 net.cpp:408] ip <- data -I1225 09:50:48.815879 1277751 net.cpp:382] ip -> ip -I1225 09:50:48.815902 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.815908 1277751 net.cpp:131] Top shape: 1 2 (2) -I1225 09:50:48.815915 1277751 net.cpp:139] Memory required for data: 412 -I1225 09:50:48.815927 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.815938 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.815943 1277751 net.cpp:408] loss <- ip -I1225 09:50:48.815949 1277751 net.cpp:408] loss <- label -I1225 09:50:48.815958 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.815980 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.816004 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.816009 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.816015 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.816044 1277751 net.cpp:139] Memory required for data: 416 -I1225 09:50:48.816051 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.816058 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.816066 1277751 net.cpp:202] train_data does not need backward computation. -I1225 09:50:48.816071 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.816080 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.817085 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data -I1225 09:50:48.817109 1277751 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data -I1225 09:50:48.817117 1277751 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss -I1225 09:50:48.817124 1277751 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred -I1225 09:50:48.817132 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.625834 197118 layer_factory.hpp:77] Creating layer train_data +I0128 18:51:27.625869 197118 net.cpp:86] Creating Layer train_data +I0128 18:51:27.625878 197118 net.cpp:382] train_data -> data +I0128 18:51:27.625893 197118 net.cpp:382] train_data -> label +I0128 18:51:27.625918 197118 net.cpp:124] Setting up train_data +I0128 18:51:27.625926 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.625933 197118 net.cpp:131] Top shape: 1 1 1 1 (1) +I0128 18:51:27.625939 197118 net.cpp:139] Memory required for data: 404 +I0128 18:51:27.625944 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.625952 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.625962 197118 net.cpp:408] ip <- data +I0128 18:51:27.625968 197118 net.cpp:382] ip -> ip +I0128 18:51:27.625986 197118 net.cpp:124] Setting up ip +I0128 18:51:27.625990 197118 net.cpp:131] Top shape: 1 2 (2) +I0128 18:51:27.625995 197118 net.cpp:139] Memory required for data: 412 +I0128 18:51:27.626005 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.626021 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.626026 197118 net.cpp:408] loss <- ip +I0128 18:51:27.626032 197118 net.cpp:408] loss <- label +I0128 18:51:27.626040 197118 net.cpp:382] loss -> loss +I0128 18:51:27.626065 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.626092 197118 net.cpp:124] Setting up loss +I0128 18:51:27.626099 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.626111 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.626143 197118 net.cpp:139] Memory required for data: 416 +I0128 18:51:27.626148 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.626153 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.626158 197118 net.cpp:202] train_data does not need backward computation. +I0128 18:51:27.626163 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.626173 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.631584 197118 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data +I0128 18:51:27.631628 197118 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data +I0128 18:51:27.631637 197118 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss +I0128 18:51:27.631644 197118 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred +I0128 18:51:27.631654 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -15057,39 +15091,39 @@ stage: "val" } } -I1225 09:50:48.817219 1277751 layer_factory.hpp:77] Creating layer val_data -I1225 09:50:48.817231 1277751 net.cpp:86] Creating Layer val_data -I1225 09:50:48.817241 1277751 net.cpp:382] val_data -> data -I1225 09:50:48.817256 1277751 net.cpp:382] val_data -> label -I1225 09:50:48.817273 1277751 net.cpp:124] Setting up val_data -I1225 09:50:48.817279 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.817287 1277751 net.cpp:131] Top shape: 1 1 1 1 (1) -I1225 09:50:48.817293 1277751 net.cpp:139] Memory required for data: 404 -I1225 09:50:48.817299 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.817307 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.817313 1277751 net.cpp:408] ip <- data -I1225 09:50:48.817322 1277751 net.cpp:382] ip -> ip -I1225 09:50:48.817428 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.817440 1277751 net.cpp:131] Top shape: 1 2 (2) -I1225 09:50:48.817446 1277751 net.cpp:139] Memory required for data: 412 -I1225 09:50:48.817459 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.817471 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.817476 1277751 net.cpp:408] loss <- ip -I1225 09:50:48.817483 1277751 net.cpp:408] loss <- label -I1225 09:50:48.817492 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.817503 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.817524 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.817529 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.817535 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.817550 1277751 net.cpp:139] Memory required for data: 416 -I1225 09:50:48.817555 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.817561 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.817567 1277751 net.cpp:202] val_data does not need backward computation. -I1225 09:50:48.817572 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.817580 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.818339 1277751 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only -I1225 09:50:48.818351 1277751 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 -I1225 09:50:48.818357 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.631783 197118 layer_factory.hpp:77] Creating layer val_data +I0128 18:51:27.631819 197118 net.cpp:86] Creating Layer val_data +I0128 18:51:27.631831 197118 net.cpp:382] val_data -> data +I0128 18:51:27.631856 197118 net.cpp:382] val_data -> label +I0128 18:51:27.631878 197118 net.cpp:124] Setting up val_data +I0128 18:51:27.631892 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.631902 197118 net.cpp:131] Top shape: 1 1 1 1 (1) +I0128 18:51:27.631911 197118 net.cpp:139] Memory required for data: 404 +I0128 18:51:27.631916 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.631927 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.631938 197118 net.cpp:408] ip <- data +I0128 18:51:27.631948 197118 net.cpp:382] ip -> ip +I0128 18:51:27.631968 197118 net.cpp:124] Setting up ip +I0128 18:51:27.631978 197118 net.cpp:131] Top shape: 1 2 (2) +I0128 18:51:27.631984 197118 net.cpp:139] Memory required for data: 412 +I0128 18:51:27.631996 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.632009 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.632015 197118 net.cpp:408] loss <- ip +I0128 18:51:27.632022 197118 net.cpp:408] loss <- label +I0128 18:51:27.632038 197118 net.cpp:382] loss -> loss +I0128 18:51:27.632050 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.632074 197118 net.cpp:124] Setting up loss +I0128 18:51:27.632086 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.632092 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.632122 197118 net.cpp:139] Memory required for data: 416 +I0128 18:51:27.632126 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.632133 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.632138 197118 net.cpp:202] val_data does not need backward computation. +I0128 18:51:27.632143 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.632155 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.633054 197118 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only +I0128 18:51:27.633075 197118 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 +I0128 18:51:27.633082 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -15141,55 +15175,55 @@ num_output: 1 } } -I1225 09:50:48.818451 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.818462 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.818470 1277751 net.cpp:382] data -> data -I1225 09:50:48.818485 1277751 net.cpp:124] Setting up data -I1225 09:50:48.818490 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.818496 1277751 net.cpp:139] Memory required for data: 400 -I1225 09:50:48.818500 1277751 layer_factory.hpp:77] Creating layer data_data_0_split -I1225 09:50:48.818512 1277751 net.cpp:86] Creating Layer data_data_0_split -I1225 09:50:48.818517 1277751 net.cpp:408] data_data_0_split <- data -I1225 09:50:48.818524 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I1225 09:50:48.818533 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I1225 09:50:48.818542 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_2 -I1225 09:50:48.818564 1277751 net.cpp:124] Setting up data_data_0_split -I1225 09:50:48.818570 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.818576 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.818583 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.818588 1277751 net.cpp:139] Memory required for data: 1600 -I1225 09:50:48.818591 1277751 layer_factory.hpp:77] Creating layer NoLevel -I1225 09:50:48.818598 1277751 net.cpp:86] Creating Layer NoLevel -I1225 09:50:48.818603 1277751 net.cpp:408] NoLevel <- data_data_0_split_0 -I1225 09:50:48.818611 1277751 net.cpp:382] NoLevel -> NoLevel -I1225 09:50:48.818627 1277751 net.cpp:124] Setting up NoLevel -I1225 09:50:48.818632 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.818639 1277751 net.cpp:139] Memory required for data: 1604 -I1225 09:50:48.818650 1277751 layer_factory.hpp:77] Creating layer Level0Only -I1225 09:50:48.818656 1277751 net.cpp:86] Creating Layer Level0Only -I1225 09:50:48.818661 1277751 net.cpp:408] Level0Only <- data_data_0_split_1 -I1225 09:50:48.818668 1277751 net.cpp:382] Level0Only -> Level0Only -I1225 09:50:48.818682 1277751 net.cpp:124] Setting up Level0Only -I1225 09:50:48.818687 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.818693 1277751 net.cpp:139] Memory required for data: 1608 -I1225 09:50:48.818701 1277751 layer_factory.hpp:77] Creating layer Level>=0 -I1225 09:50:48.818711 1277751 net.cpp:86] Creating Layer Level>=0 -I1225 09:50:48.818714 1277751 net.cpp:408] Level>=0 <- data_data_0_split_2 -I1225 09:50:48.818722 1277751 net.cpp:382] Level>=0 -> Level>=0 -I1225 09:50:48.818735 1277751 net.cpp:124] Setting up Level>=0 -I1225 09:50:48.818740 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.818745 1277751 net.cpp:139] Memory required for data: 1612 -I1225 09:50:48.818754 1277751 net.cpp:202] Level>=0 does not need backward computation. -I1225 09:50:48.818759 1277751 net.cpp:202] Level0Only does not need backward computation. -I1225 09:50:48.818764 1277751 net.cpp:202] NoLevel does not need backward computation. -I1225 09:50:48.818770 1277751 net.cpp:202] data_data_0_split does not need backward computation. -I1225 09:50:48.818775 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.818779 1277751 net.cpp:244] This network produces output Level0Only -I1225 09:50:48.818784 1277751 net.cpp:244] This network produces output Level>=0 -I1225 09:50:48.818789 1277751 net.cpp:244] This network produces output NoLevel -I1225 09:50:48.818802 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.819332 1277751 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only -I1225 09:50:48.819344 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.633194 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.633205 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.633213 197118 net.cpp:382] data -> data +I0128 18:51:27.633229 197118 net.cpp:124] Setting up data +I0128 18:51:27.633242 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.633248 197118 net.cpp:139] Memory required for data: 400 +I0128 18:51:27.633253 197118 layer_factory.hpp:77] Creating layer data_data_0_split +I0128 18:51:27.633275 197118 net.cpp:86] Creating Layer data_data_0_split +I0128 18:51:27.633286 197118 net.cpp:408] data_data_0_split <- data +I0128 18:51:27.633296 197118 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0128 18:51:27.633306 197118 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0128 18:51:27.633316 197118 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0128 18:51:27.633352 197118 net.cpp:124] Setting up data_data_0_split +I0128 18:51:27.633363 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.633371 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.633389 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.633396 197118 net.cpp:139] Memory required for data: 1600 +I0128 18:51:27.633401 197118 layer_factory.hpp:77] Creating layer NoLevel +I0128 18:51:27.633409 197118 net.cpp:86] Creating Layer NoLevel +I0128 18:51:27.633414 197118 net.cpp:408] NoLevel <- data_data_0_split_0 +I0128 18:51:27.633421 197118 net.cpp:382] NoLevel -> NoLevel +I0128 18:51:27.633450 197118 net.cpp:124] Setting up NoLevel +I0128 18:51:27.633461 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.633467 197118 net.cpp:139] Memory required for data: 1604 +I0128 18:51:27.633478 197118 layer_factory.hpp:77] Creating layer Level0Only +I0128 18:51:27.633498 197118 net.cpp:86] Creating Layer Level0Only +I0128 18:51:27.633504 197118 net.cpp:408] Level0Only <- data_data_0_split_1 +I0128 18:51:27.633512 197118 net.cpp:382] Level0Only -> Level0Only +I0128 18:51:27.633528 197118 net.cpp:124] Setting up Level0Only +I0128 18:51:27.633535 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.633540 197118 net.cpp:139] Memory required for data: 1608 +I0128 18:51:27.633549 197118 layer_factory.hpp:77] Creating layer Level>=0 +I0128 18:51:27.633558 197118 net.cpp:86] Creating Layer Level>=0 +I0128 18:51:27.633564 197118 net.cpp:408] Level>=0 <- data_data_0_split_2 +I0128 18:51:27.633572 197118 net.cpp:382] Level>=0 -> Level>=0 +I0128 18:51:27.633586 197118 net.cpp:124] Setting up Level>=0 +I0128 18:51:27.633591 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.633597 197118 net.cpp:139] Memory required for data: 1612 +I0128 18:51:27.633608 197118 net.cpp:202] Level>=0 does not need backward computation. +I0128 18:51:27.633615 197118 net.cpp:202] Level0Only does not need backward computation. +I0128 18:51:27.633620 197118 net.cpp:202] NoLevel does not need backward computation. +I0128 18:51:27.633625 197118 net.cpp:202] data_data_0_split does not need backward computation. +I0128 18:51:27.633630 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.633635 197118 net.cpp:244] This network produces output Level0Only +I0128 18:51:27.633641 197118 net.cpp:244] This network produces output Level>=0 +I0128 18:51:27.633646 197118 net.cpp:244] This network produces output NoLevel +I0128 18:51:27.633657 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.637653 197118 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only +I0128 18:51:27.637703 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 1 @@ -15253,65 +15287,65 @@ num_output: 1 } } -I1225 09:50:48.819445 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.819455 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.819461 1277751 net.cpp:382] data -> data -I1225 09:50:48.819475 1277751 net.cpp:124] Setting up data -I1225 09:50:48.819481 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.819487 1277751 net.cpp:139] Memory required for data: 400 -I1225 09:50:48.819491 1277751 layer_factory.hpp:77] Creating layer data_data_0_split -I1225 09:50:48.819500 1277751 net.cpp:86] Creating Layer data_data_0_split -I1225 09:50:48.819505 1277751 net.cpp:408] data_data_0_split <- data -I1225 09:50:48.819514 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I1225 09:50:48.819521 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I1225 09:50:48.819530 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_2 -I1225 09:50:48.819540 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_3 -I1225 09:50:48.819551 1277751 net.cpp:124] Setting up data_data_0_split -I1225 09:50:48.819557 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.819563 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.819569 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.819574 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.819581 1277751 net.cpp:139] Memory required for data: 2000 -I1225 09:50:48.819584 1277751 layer_factory.hpp:77] Creating layer NoLevel -I1225 09:50:48.819591 1277751 net.cpp:86] Creating Layer NoLevel -I1225 09:50:48.819597 1277751 net.cpp:408] NoLevel <- data_data_0_split_0 -I1225 09:50:48.819603 1277751 net.cpp:382] NoLevel -> NoLevel -I1225 09:50:48.819620 1277751 net.cpp:124] Setting up NoLevel -I1225 09:50:48.819624 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.819630 1277751 net.cpp:139] Memory required for data: 2004 -I1225 09:50:48.819641 1277751 layer_factory.hpp:77] Creating layer Level1Only -I1225 09:50:48.819649 1277751 net.cpp:86] Creating Layer Level1Only -I1225 09:50:48.819654 1277751 net.cpp:408] Level1Only <- data_data_0_split_1 -I1225 09:50:48.819661 1277751 net.cpp:382] Level1Only -> Level1Only -I1225 09:50:48.819677 1277751 net.cpp:124] Setting up Level1Only -I1225 09:50:48.819681 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.819686 1277751 net.cpp:139] Memory required for data: 2008 -I1225 09:50:48.819694 1277751 layer_factory.hpp:77] Creating layer Level>=0 -I1225 09:50:48.819702 1277751 net.cpp:86] Creating Layer Level>=0 -I1225 09:50:48.819707 1277751 net.cpp:408] Level>=0 <- data_data_0_split_2 -I1225 09:50:48.819715 1277751 net.cpp:382] Level>=0 -> Level>=0 -I1225 09:50:48.819728 1277751 net.cpp:124] Setting up Level>=0 -I1225 09:50:48.819732 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.819737 1277751 net.cpp:139] Memory required for data: 2012 -I1225 09:50:48.819746 1277751 layer_factory.hpp:77] Creating layer Level>=1 -I1225 09:50:48.819756 1277751 net.cpp:86] Creating Layer Level>=1 -I1225 09:50:48.819761 1277751 net.cpp:408] Level>=1 <- data_data_0_split_3 -I1225 09:50:48.819769 1277751 net.cpp:382] Level>=1 -> Level>=1 -I1225 09:50:48.819787 1277751 net.cpp:124] Setting up Level>=1 -I1225 09:50:48.819792 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.819798 1277751 net.cpp:139] Memory required for data: 2016 -I1225 09:50:48.819804 1277751 net.cpp:202] Level>=1 does not need backward computation. -I1225 09:50:48.819810 1277751 net.cpp:202] Level>=0 does not need backward computation. -I1225 09:50:48.819815 1277751 net.cpp:202] Level1Only does not need backward computation. -I1225 09:50:48.819820 1277751 net.cpp:202] NoLevel does not need backward computation. -I1225 09:50:48.819826 1277751 net.cpp:202] data_data_0_split does not need backward computation. -I1225 09:50:48.819833 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.819836 1277751 net.cpp:244] This network produces output Level1Only -I1225 09:50:48.819842 1277751 net.cpp:244] This network produces output Level>=0 -I1225 09:50:48.819847 1277751 net.cpp:244] This network produces output Level>=1 -I1225 09:50:48.819852 1277751 net.cpp:244] This network produces output NoLevel -I1225 09:50:48.819862 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.830921 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.637881 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.637897 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.637904 197118 net.cpp:382] data -> data +I0128 18:51:27.637938 197118 net.cpp:124] Setting up data +I0128 18:51:27.637944 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.637949 197118 net.cpp:139] Memory required for data: 400 +I0128 18:51:27.637953 197118 layer_factory.hpp:77] Creating layer data_data_0_split +I0128 18:51:27.637964 197118 net.cpp:86] Creating Layer data_data_0_split +I0128 18:51:27.637969 197118 net.cpp:408] data_data_0_split <- data +I0128 18:51:27.637975 197118 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0128 18:51:27.637982 197118 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0128 18:51:27.637991 197118 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0128 18:51:27.637998 197118 net.cpp:382] data_data_0_split -> data_data_0_split_3 +I0128 18:51:27.638010 197118 net.cpp:124] Setting up data_data_0_split +I0128 18:51:27.638013 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.638017 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.638022 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.638026 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.638031 197118 net.cpp:139] Memory required for data: 2000 +I0128 18:51:27.638033 197118 layer_factory.hpp:77] Creating layer NoLevel +I0128 18:51:27.638042 197118 net.cpp:86] Creating Layer NoLevel +I0128 18:51:27.638046 197118 net.cpp:408] NoLevel <- data_data_0_split_0 +I0128 18:51:27.638053 197118 net.cpp:382] NoLevel -> NoLevel +I0128 18:51:27.638078 197118 net.cpp:124] Setting up NoLevel +I0128 18:51:27.638082 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.638087 197118 net.cpp:139] Memory required for data: 2004 +I0128 18:51:27.638098 197118 layer_factory.hpp:77] Creating layer Level1Only +I0128 18:51:27.638103 197118 net.cpp:86] Creating Layer Level1Only +I0128 18:51:27.638108 197118 net.cpp:408] Level1Only <- data_data_0_split_1 +I0128 18:51:27.638114 197118 net.cpp:382] Level1Only -> Level1Only +I0128 18:51:27.638128 197118 net.cpp:124] Setting up Level1Only +I0128 18:51:27.638131 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.638135 197118 net.cpp:139] Memory required for data: 2008 +I0128 18:51:27.638141 197118 layer_factory.hpp:77] Creating layer Level>=0 +I0128 18:51:27.638149 197118 net.cpp:86] Creating Layer Level>=0 +I0128 18:51:27.638152 197118 net.cpp:408] Level>=0 <- data_data_0_split_2 +I0128 18:51:27.638159 197118 net.cpp:382] Level>=0 -> Level>=0 +I0128 18:51:27.638171 197118 net.cpp:124] Setting up Level>=0 +I0128 18:51:27.638175 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.638178 197118 net.cpp:139] Memory required for data: 2012 +I0128 18:51:27.638185 197118 layer_factory.hpp:77] Creating layer Level>=1 +I0128 18:51:27.638192 197118 net.cpp:86] Creating Layer Level>=1 +I0128 18:51:27.638195 197118 net.cpp:408] Level>=1 <- data_data_0_split_3 +I0128 18:51:27.638201 197118 net.cpp:382] Level>=1 -> Level>=1 +I0128 18:51:27.638238 197118 net.cpp:124] Setting up Level>=1 +I0128 18:51:27.638242 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.638247 197118 net.cpp:139] Memory required for data: 2016 +I0128 18:51:27.638252 197118 net.cpp:202] Level>=1 does not need backward computation. +I0128 18:51:27.638257 197118 net.cpp:202] Level>=0 does not need backward computation. +I0128 18:51:27.638260 197118 net.cpp:202] Level1Only does not need backward computation. +I0128 18:51:27.638264 197118 net.cpp:202] NoLevel does not need backward computation. +I0128 18:51:27.638268 197118 net.cpp:202] data_data_0_split does not need backward computation. +I0128 18:51:27.638273 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.638275 197118 net.cpp:244] This network produces output Level1Only +I0128 18:51:27.638280 197118 net.cpp:244] This network produces output Level>=0 +I0128 18:51:27.638283 197118 net.cpp:244] This network produces output Level>=1 +I0128 18:51:27.638288 197118 net.cpp:244] This network produces output NoLevel +I0128 18:51:27.638298 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.639662 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15390,45 +15424,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.831143 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.831161 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.831171 1277751 net.cpp:382] data -> data -I1225 09:50:48.831188 1277751 net.cpp:382] data -> label -I1225 09:50:48.831208 1277751 net.cpp:124] Setting up data -I1225 09:50:48.831214 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.831223 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.831228 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.831233 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.831248 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.831252 1277751 net.cpp:408] conv <- data -I1225 09:50:48.831264 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.831375 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.831382 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.831388 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.831401 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.831411 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.831416 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.831425 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.831620 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.831627 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.831632 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.831641 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.831651 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.831655 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.831661 1277751 net.cpp:408] loss <- label -I1225 09:50:48.831667 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.831681 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.831701 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.831707 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.831712 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.831723 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.831727 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.831733 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.831738 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.831743 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.831748 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.831758 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.834782 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.639801 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.639811 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.639817 197118 net.cpp:382] data -> data +I0128 18:51:27.639827 197118 net.cpp:382] data -> label +I0128 18:51:27.639840 197118 net.cpp:124] Setting up data +I0128 18:51:27.639845 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.639850 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.639854 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.639858 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.639870 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.639874 197118 net.cpp:408] conv <- data +I0128 18:51:27.639881 197118 net.cpp:382] conv -> conv +I0128 18:51:27.639971 197118 net.cpp:124] Setting up conv +I0128 18:51:27.639976 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.639981 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.639988 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.639994 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.639998 197118 net.cpp:408] ip <- conv +I0128 18:51:27.640004 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.640187 197118 net.cpp:124] Setting up ip +I0128 18:51:27.640192 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.640195 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.640201 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.640208 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.640211 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.640215 197118 net.cpp:408] loss <- label +I0128 18:51:27.640220 197118 net.cpp:382] loss -> loss +I0128 18:51:27.640229 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.640247 197118 net.cpp:124] Setting up loss +I0128 18:51:27.640254 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.640259 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.640269 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.640273 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.640276 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.640280 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.640285 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.640288 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.640295 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.644439 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15507,45 +15541,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.834951 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.834967 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.834977 1277751 net.cpp:382] data -> data -I1225 09:50:48.834991 1277751 net.cpp:382] data -> label -I1225 09:50:48.835012 1277751 net.cpp:124] Setting up data -I1225 09:50:48.835018 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.835027 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.835032 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.835037 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.835050 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.835055 1277751 net.cpp:408] conv <- data -I1225 09:50:48.835067 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.835103 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.835108 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.835114 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.835126 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.835135 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.835140 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.835148 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.835309 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.835315 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.835320 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.835330 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.835338 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.835342 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.835348 1277751 net.cpp:408] loss <- label -I1225 09:50:48.835355 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.835366 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.835384 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.835389 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.835394 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.835404 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.835409 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.835415 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.835422 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.835426 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.835431 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.835440 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.841166 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.644585 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.644598 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.644606 197118 net.cpp:382] data -> data +I0128 18:51:27.644641 197118 net.cpp:382] data -> label +I0128 18:51:27.644659 197118 net.cpp:124] Setting up data +I0128 18:51:27.644665 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.644671 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.644675 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.644680 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.644691 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.644696 197118 net.cpp:408] conv <- data +I0128 18:51:27.644704 197118 net.cpp:382] conv -> conv +I0128 18:51:27.644738 197118 net.cpp:124] Setting up conv +I0128 18:51:27.644742 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.644747 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.644755 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.644763 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.644766 197118 net.cpp:408] ip <- conv +I0128 18:51:27.644773 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.644930 197118 net.cpp:124] Setting up ip +I0128 18:51:27.644934 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.644938 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.644945 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.644951 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.644954 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.644958 197118 net.cpp:408] loss <- label +I0128 18:51:27.644964 197118 net.cpp:382] loss -> loss +I0128 18:51:27.644973 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.644989 197118 net.cpp:124] Setting up loss +I0128 18:51:27.644994 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.644997 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.645007 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.645011 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.645016 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.645020 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.645025 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.645027 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.645035 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.647250 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15624,45 +15658,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.841334 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.841356 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.841368 1277751 net.cpp:382] data -> data -I1225 09:50:48.841389 1277751 net.cpp:382] data -> label -I1225 09:50:48.841410 1277751 net.cpp:124] Setting up data -I1225 09:50:48.841415 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.841424 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.841430 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.841435 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.841449 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.841454 1277751 net.cpp:408] conv <- data -I1225 09:50:48.841468 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.841508 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.841513 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.841518 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.841531 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.841542 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.841547 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.841554 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.841714 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.841719 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.841724 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.841732 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.841742 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.841746 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.841753 1277751 net.cpp:408] loss <- label -I1225 09:50:48.841761 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.841776 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.841796 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.841801 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.841806 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.841820 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.841825 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.841831 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.841837 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.841842 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.841847 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.841857 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.850945 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.647367 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.647377 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.647384 197118 net.cpp:382] data -> data +I0128 18:51:27.647395 197118 net.cpp:382] data -> label +I0128 18:51:27.647408 197118 net.cpp:124] Setting up data +I0128 18:51:27.647413 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.647419 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.647424 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.647428 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.647439 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.647442 197118 net.cpp:408] conv <- data +I0128 18:51:27.647450 197118 net.cpp:382] conv -> conv +I0128 18:51:27.647477 197118 net.cpp:124] Setting up conv +I0128 18:51:27.647481 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.647486 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.647495 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.647502 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.647506 197118 net.cpp:408] ip <- conv +I0128 18:51:27.647512 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.647675 197118 net.cpp:124] Setting up ip +I0128 18:51:27.647679 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.647684 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.647691 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.647697 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.647701 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.647706 197118 net.cpp:408] loss <- label +I0128 18:51:27.647711 197118 net.cpp:382] loss -> loss +I0128 18:51:27.647719 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.647733 197118 net.cpp:124] Setting up loss +I0128 18:51:27.647738 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.647742 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.647749 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.647753 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.647758 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.647761 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.647766 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.647770 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.647776 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.648854 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15741,45 +15775,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.851181 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.851203 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.851217 1277751 net.cpp:382] data -> data -I1225 09:50:48.851240 1277751 net.cpp:382] data -> label -I1225 09:50:48.851267 1277751 net.cpp:124] Setting up data -I1225 09:50:48.851274 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.851285 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.851291 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.851297 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.851313 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.851320 1277751 net.cpp:408] conv <- data -I1225 09:50:48.851331 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.851377 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.851383 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.851390 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.851403 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.851418 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.851423 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.851433 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.851619 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.851626 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.851632 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.851644 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.851653 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.851667 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.851672 1277751 net.cpp:408] loss <- label -I1225 09:50:48.851680 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.851692 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.851713 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.851718 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.851723 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.851735 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.851742 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.851747 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.851752 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.851758 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.851763 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.851773 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.854281 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.648995 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.649005 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.649013 197118 net.cpp:382] data -> data +I0128 18:51:27.649024 197118 net.cpp:382] data -> label +I0128 18:51:27.649044 197118 net.cpp:124] Setting up data +I0128 18:51:27.649047 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.649055 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.649058 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.649062 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.649070 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.649075 197118 net.cpp:408] conv <- data +I0128 18:51:27.649080 197118 net.cpp:382] conv -> conv +I0128 18:51:27.649104 197118 net.cpp:124] Setting up conv +I0128 18:51:27.649107 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.649111 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.649119 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.649125 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.649129 197118 net.cpp:408] ip <- conv +I0128 18:51:27.649135 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.649273 197118 net.cpp:124] Setting up ip +I0128 18:51:27.649277 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.649281 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.649287 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.649292 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.649295 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.649300 197118 net.cpp:408] loss <- label +I0128 18:51:27.649305 197118 net.cpp:382] loss -> loss +I0128 18:51:27.649312 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.649323 197118 net.cpp:124] Setting up loss +I0128 18:51:27.649327 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.649331 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.649336 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.649339 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.649343 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.649348 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.649351 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.649354 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.649360 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.651417 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15858,45 +15892,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.854452 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.854471 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.854482 1277751 net.cpp:382] data -> data -I1225 09:50:48.854498 1277751 net.cpp:382] data -> label -I1225 09:50:48.854516 1277751 net.cpp:124] Setting up data -I1225 09:50:48.854522 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.854530 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.854537 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.854542 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.854558 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.854563 1277751 net.cpp:408] conv <- data -I1225 09:50:48.854575 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.854616 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.854622 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.854629 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.854642 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.854652 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.854657 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.854666 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.854828 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.854835 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.854840 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.854849 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.854858 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.854862 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.854868 1277751 net.cpp:408] loss <- label -I1225 09:50:48.854876 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.854887 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.854907 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.854912 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.854916 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.854928 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.854933 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.854938 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.854943 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.854948 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.854952 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.854960 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.855952 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.651535 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.651544 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.651551 197118 net.cpp:382] data -> data +I0128 18:51:27.651561 197118 net.cpp:382] data -> label +I0128 18:51:27.651574 197118 net.cpp:124] Setting up data +I0128 18:51:27.651579 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.651584 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.651589 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.651592 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.651603 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.651607 197118 net.cpp:408] conv <- data +I0128 18:51:27.651613 197118 net.cpp:382] conv -> conv +I0128 18:51:27.651641 197118 net.cpp:124] Setting up conv +I0128 18:51:27.651645 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.651649 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.651657 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.651664 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.651667 197118 net.cpp:408] ip <- conv +I0128 18:51:27.651674 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.651822 197118 net.cpp:124] Setting up ip +I0128 18:51:27.651826 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.651830 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.651836 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.651842 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.651846 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.651850 197118 net.cpp:408] loss <- label +I0128 18:51:27.651855 197118 net.cpp:382] loss -> loss +I0128 18:51:27.651862 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.651877 197118 net.cpp:124] Setting up loss +I0128 18:51:27.651881 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.651885 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.651892 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.651895 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.651899 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.651903 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.651907 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.651911 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.651916 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.652524 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15975,45 +16009,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.856109 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.856124 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.856133 1277751 net.cpp:382] data -> data -I1225 09:50:48.856148 1277751 net.cpp:382] data -> label -I1225 09:50:48.856164 1277751 net.cpp:124] Setting up data -I1225 09:50:48.856170 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.856178 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.856185 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.856190 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.856204 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.856209 1277751 net.cpp:408] conv <- data -I1225 09:50:48.856220 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.856259 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.856266 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.856273 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.856284 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.856294 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.856300 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.856309 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.857120 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.857141 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.857149 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.857164 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.857175 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.857182 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.857189 1277751 net.cpp:408] loss <- label -I1225 09:50:48.857200 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.857215 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.857239 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.857244 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.857251 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.857266 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.857271 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.857277 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.857283 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.857290 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.857295 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.857304 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.858471 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.652632 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.652642 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.652648 197118 net.cpp:382] data -> data +I0128 18:51:27.652657 197118 net.cpp:382] data -> label +I0128 18:51:27.652669 197118 net.cpp:124] Setting up data +I0128 18:51:27.652673 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.652678 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.652683 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.652686 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.652694 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.652698 197118 net.cpp:408] conv <- data +I0128 18:51:27.652704 197118 net.cpp:382] conv -> conv +I0128 18:51:27.652729 197118 net.cpp:124] Setting up conv +I0128 18:51:27.652732 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.652736 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.652745 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.652750 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.652753 197118 net.cpp:408] ip <- conv +I0128 18:51:27.652760 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.652923 197118 net.cpp:124] Setting up ip +I0128 18:51:27.652927 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.652932 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.652938 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.652945 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.652948 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.652953 197118 net.cpp:408] loss <- label +I0128 18:51:27.652958 197118 net.cpp:382] loss -> loss +I0128 18:51:27.652967 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.652979 197118 net.cpp:124] Setting up loss +I0128 18:51:27.652983 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.652988 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.652994 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.652998 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.653002 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.653007 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.653012 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.653015 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.653023 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.653805 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16092,45 +16126,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.858608 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.858621 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.858629 1277751 net.cpp:382] data -> data -I1225 09:50:48.858641 1277751 net.cpp:382] data -> label -I1225 09:50:48.858655 1277751 net.cpp:124] Setting up data -I1225 09:50:48.858660 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.858667 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.858673 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.858677 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.858690 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.858693 1277751 net.cpp:408] conv <- data -I1225 09:50:48.858703 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.858736 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.858740 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.858745 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.858757 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.858765 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.858769 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.858777 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.858935 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.858940 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.858947 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.858955 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.858963 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.858968 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.858975 1277751 net.cpp:408] loss <- label -I1225 09:50:48.858985 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.858996 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.859014 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.859019 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.859023 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.859032 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.859036 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.859045 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.859053 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.859059 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.859064 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.859072 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.860282 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.653906 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.653915 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.653923 197118 net.cpp:382] data -> data +I0128 18:51:27.653934 197118 net.cpp:382] data -> label +I0128 18:51:27.653945 197118 net.cpp:124] Setting up data +I0128 18:51:27.653950 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.653956 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.653961 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.653964 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.653975 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.653978 197118 net.cpp:408] conv <- data +I0128 18:51:27.653985 197118 net.cpp:382] conv -> conv +I0128 18:51:27.654009 197118 net.cpp:124] Setting up conv +I0128 18:51:27.654013 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.654018 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.654027 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.654034 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.654038 197118 net.cpp:408] ip <- conv +I0128 18:51:27.654044 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.654225 197118 net.cpp:124] Setting up ip +I0128 18:51:27.654230 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.654235 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.654242 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.654248 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.654253 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.654258 197118 net.cpp:408] loss <- label +I0128 18:51:27.654263 197118 net.cpp:382] loss -> loss +I0128 18:51:27.654273 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.654901 197118 net.cpp:124] Setting up loss +I0128 18:51:27.654911 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.654917 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.654925 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.654929 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.654934 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.654938 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.654943 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.654947 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.654954 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.655928 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16209,48 +16243,48 @@ bottom: "label" top: "loss" } -I1225 09:50:48.860414 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.860426 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.860991 1277751 net.cpp:382] data -> data -I1225 09:50:48.861009 1277751 net.cpp:382] data -> label -I1225 09:50:48.861028 1277751 net.cpp:124] Setting up data -I1225 09:50:48.861034 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.861042 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.861048 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.861053 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.861068 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.861073 1277751 net.cpp:408] conv <- data -I1225 09:50:48.861083 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.861124 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.861129 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.861135 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.861150 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.861161 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.861166 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.861177 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.861358 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.861366 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.861371 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.861382 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.861392 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.861397 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.861403 1277751 net.cpp:408] loss <- label -I1225 09:50:48.861411 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.861423 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.861444 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.861450 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.861456 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.861470 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.861475 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.861483 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.861490 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.861495 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.861501 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.861511 1277751 net.cpp:257] Network initialization done. -W1225 09:50:48.862576 1277751 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface -W1225 09:50:48.862588 1277751 _caffe.cpp:140] Use this instead (with the named "weights" parameter): -W1225 09:50:48.862593 1277751 _caffe.cpp:142] Net('/tmp/tmpqcq39yv8', 0, weights='/tmp/tmpgg8kuj79') -I1225 09:50:48.862802 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.656019 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.656028 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.656033 197118 net.cpp:382] data -> data +I0128 18:51:27.656044 197118 net.cpp:382] data -> label +I0128 18:51:27.656054 197118 net.cpp:124] Setting up data +I0128 18:51:27.656059 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.656064 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.656069 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.656071 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.656080 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.656083 197118 net.cpp:408] conv <- data +I0128 18:51:27.656090 197118 net.cpp:382] conv -> conv +I0128 18:51:27.656113 197118 net.cpp:124] Setting up conv +I0128 18:51:27.656116 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.656121 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.656129 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.656136 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.656138 197118 net.cpp:408] ip <- conv +I0128 18:51:27.656144 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.656286 197118 net.cpp:124] Setting up ip +I0128 18:51:27.656288 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.656293 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.656299 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.656304 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.656308 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.656312 197118 net.cpp:408] loss <- label +I0128 18:51:27.656317 197118 net.cpp:382] loss -> loss +I0128 18:51:27.656324 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.656337 197118 net.cpp:124] Setting up loss +I0128 18:51:27.656339 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.656343 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.656349 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.656352 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.656356 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.656360 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.656364 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.656371 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.656376 197118 net.cpp:257] Network initialization done. +W0128 18:51:27.656944 197118 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface +W0128 18:51:27.656952 197118 _caffe.cpp:140] Use this instead (with the named "weights" parameter): +W0128 18:51:27.656955 197118 _caffe.cpp:142] Net('/tmp/tmprwbj7vri', 0, weights='/tmp/tmpzm95i476') +I0128 18:51:27.657068 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16329,45 +16363,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.862963 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.862979 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.862989 1277751 net.cpp:382] data -> data -I1225 09:50:48.863005 1277751 net.cpp:382] data -> label -I1225 09:50:48.863030 1277751 net.cpp:124] Setting up data -I1225 09:50:48.863036 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.863044 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.863051 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.863057 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.863073 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.863078 1277751 net.cpp:408] conv <- data -I1225 09:50:48.863090 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.863132 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.863138 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.863145 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.863157 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.863169 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.863178 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.863188 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.863390 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.863397 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.863404 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.863415 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.863425 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.863430 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.863436 1277751 net.cpp:408] loss <- label -I1225 09:50:48.863445 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.863457 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.863485 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.863492 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.863498 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.863509 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.863514 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.863520 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.863526 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.863533 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.863538 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.863548 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.868196 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.657155 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.657163 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.657171 197118 net.cpp:382] data -> data +I0128 18:51:27.657179 197118 net.cpp:382] data -> label +I0128 18:51:27.657191 197118 net.cpp:124] Setting up data +I0128 18:51:27.657193 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.657199 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.657203 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.657207 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.657215 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.657219 197118 net.cpp:408] conv <- data +I0128 18:51:27.657225 197118 net.cpp:382] conv -> conv +I0128 18:51:27.657248 197118 net.cpp:124] Setting up conv +I0128 18:51:27.657251 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.657256 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.657263 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.657271 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.657275 197118 net.cpp:408] ip <- conv +I0128 18:51:27.657280 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.657421 197118 net.cpp:124] Setting up ip +I0128 18:51:27.657424 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.657428 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.657435 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.657444 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.657449 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.657452 197118 net.cpp:408] loss <- label +I0128 18:51:27.657457 197118 net.cpp:382] loss -> loss +I0128 18:51:27.657465 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.657477 197118 net.cpp:124] Setting up loss +I0128 18:51:27.657480 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.657485 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.657490 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.657493 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.657497 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.657501 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.657505 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.657508 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.657514 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.660202 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16446,45 +16480,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.868386 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.868402 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.868412 1277751 net.cpp:382] data -> data -I1225 09:50:48.868425 1277751 net.cpp:382] data -> label -I1225 09:50:48.868511 1277751 net.cpp:124] Setting up data -I1225 09:50:48.868520 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.868530 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.868548 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.868554 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.868569 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.868577 1277751 net.cpp:408] conv <- data -I1225 09:50:48.868589 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.868631 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.868638 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.868644 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.868659 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.868669 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.868674 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.868683 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.868866 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.868873 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.868880 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.868891 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.868898 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.868904 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.868911 1277751 net.cpp:408] loss <- label -I1225 09:50:48.868918 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.868930 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.868952 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.868957 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.868963 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.868975 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.868981 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.868988 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.868993 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.869002 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.869007 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.869016 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.870501 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.660319 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.660329 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.660336 197118 net.cpp:382] data -> data +I0128 18:51:27.660347 197118 net.cpp:382] data -> label +I0128 18:51:27.660360 197118 net.cpp:124] Setting up data +I0128 18:51:27.660365 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.660372 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.660377 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.660380 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.660390 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.660394 197118 net.cpp:408] conv <- data +I0128 18:51:27.660403 197118 net.cpp:382] conv -> conv +I0128 18:51:27.660429 197118 net.cpp:124] Setting up conv +I0128 18:51:27.660432 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.660437 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.660446 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.660454 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.660457 197118 net.cpp:408] ip <- conv +I0128 18:51:27.660465 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.660625 197118 net.cpp:124] Setting up ip +I0128 18:51:27.660629 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.660634 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.660640 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.660647 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.660650 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.660655 197118 net.cpp:408] loss <- label +I0128 18:51:27.660660 197118 net.cpp:382] loss -> loss +I0128 18:51:27.660668 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.660682 197118 net.cpp:124] Setting up loss +I0128 18:51:27.660686 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.660691 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.660698 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.660702 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.660706 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.660710 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.660715 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.660719 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.660728 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.662034 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16563,45 +16597,45 @@ bottom: "label" top: "loss" } -I1225 09:50:48.870643 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.870657 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.870666 1277751 net.cpp:382] data -> data -I1225 09:50:48.870677 1277751 net.cpp:382] data -> label -I1225 09:50:48.870692 1277751 net.cpp:124] Setting up data -I1225 09:50:48.870698 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.870707 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.870712 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.870715 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.870728 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.870733 1277751 net.cpp:408] conv <- data -I1225 09:50:48.870743 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.870774 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.870780 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.870786 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.870796 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.870805 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.870810 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.870817 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.870972 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.870980 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.870985 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.870993 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.871001 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.871006 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.871011 1277751 net.cpp:408] loss <- label -I1225 09:50:48.871017 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.871027 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.871044 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.871049 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.871055 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.871065 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.871069 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.871074 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.871079 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.871085 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.871090 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.871098 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.874286 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.662127 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.662134 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.662140 197118 net.cpp:382] data -> data +I0128 18:51:27.662149 197118 net.cpp:382] data -> label +I0128 18:51:27.662160 197118 net.cpp:124] Setting up data +I0128 18:51:27.662164 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.662169 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.662173 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.662178 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.662185 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.662189 197118 net.cpp:408] conv <- data +I0128 18:51:27.662195 197118 net.cpp:382] conv -> conv +I0128 18:51:27.662218 197118 net.cpp:124] Setting up conv +I0128 18:51:27.662221 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.662226 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.662233 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.662240 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.662243 197118 net.cpp:408] ip <- conv +I0128 18:51:27.662250 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.662536 197118 net.cpp:124] Setting up ip +I0128 18:51:27.662545 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.662549 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.662556 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.662564 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.662566 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.662570 197118 net.cpp:408] loss <- label +I0128 18:51:27.662576 197118 net.cpp:382] loss -> loss +I0128 18:51:27.662583 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.662595 197118 net.cpp:124] Setting up loss +I0128 18:51:27.662600 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.662603 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.662612 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.662617 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.662622 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.662628 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.662633 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.662642 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.662648 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.664592 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16680,46 +16714,46 @@ bottom: "label" top: "loss" } -I1225 09:50:48.874473 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.874491 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.874500 1277751 net.cpp:382] data -> data -I1225 09:50:48.874517 1277751 net.cpp:382] data -> label -I1225 09:50:48.874536 1277751 net.cpp:124] Setting up data -I1225 09:50:48.874543 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.874552 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.874557 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.874563 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.874577 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.874583 1277751 net.cpp:408] conv <- data -I1225 09:50:48.874594 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.874632 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.874637 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.874644 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.874656 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.874666 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.874672 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.874680 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.874866 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.874871 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.874878 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.874887 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.874897 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.874902 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.874907 1277751 net.cpp:408] loss <- label -I1225 09:50:48.874913 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.874930 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.874949 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.874954 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.874961 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.874974 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.874979 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.874985 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.874991 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.874997 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.875002 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.875011 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.875627 1277751 hdf5.cpp:33] Datatype class: H5T_FLOAT -.I1225 09:50:48.884711 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.664708 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.664718 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.664724 197118 net.cpp:382] data -> data +I0128 18:51:27.664736 197118 net.cpp:382] data -> label +I0128 18:51:27.664748 197118 net.cpp:124] Setting up data +I0128 18:51:27.664752 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.664757 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.664762 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.664765 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.664774 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.664778 197118 net.cpp:408] conv <- data +I0128 18:51:27.664784 197118 net.cpp:382] conv -> conv +I0128 18:51:27.664809 197118 net.cpp:124] Setting up conv +I0128 18:51:27.664813 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.664817 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.664824 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.664832 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.664835 197118 net.cpp:408] ip <- conv +I0128 18:51:27.664841 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.664997 197118 net.cpp:124] Setting up ip +I0128 18:51:27.665001 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.665005 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.665010 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.665017 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.665020 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.665024 197118 net.cpp:408] loss <- label +I0128 18:51:27.665028 197118 net.cpp:382] loss -> loss +I0128 18:51:27.665040 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.665053 197118 net.cpp:124] Setting up loss +I0128 18:51:27.665056 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.665060 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.665067 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.665071 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.665074 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.665077 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.665081 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.665086 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.665091 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.665633 197118 hdf5.cpp:33] Datatype class: H5T_FLOAT +.I0128 18:51:27.667557 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16798,47 +16832,47 @@ bottom: "label" top: "loss" } -I1225 09:50:48.884907 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.884928 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.884938 1277751 net.cpp:382] data -> data -I1225 09:50:48.884955 1277751 net.cpp:382] data -> label -I1225 09:50:48.884975 1277751 net.cpp:124] Setting up data -I1225 09:50:48.884985 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:48.884995 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:48.885001 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:48.885007 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:48.885022 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:48.885030 1277751 net.cpp:408] conv <- data -I1225 09:50:48.885040 1277751 net.cpp:382] conv -> conv -I1225 09:50:48.885085 1277751 net.cpp:124] Setting up conv -I1225 09:50:48.885092 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:48.885098 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:48.885113 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:48.885123 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:48.885130 1277751 net.cpp:408] ip <- conv -I1225 09:50:48.885139 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:48.885330 1277751 net.cpp:124] Setting up ip -I1225 09:50:48.885337 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:48.885344 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:48.885354 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.885365 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.885370 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:48.885375 1277751 net.cpp:408] loss <- label -I1225 09:50:48.885385 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.885396 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.885416 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.885421 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.885427 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.885440 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:48.885445 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.885452 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:48.885457 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:48.885463 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.885469 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.885478 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.891595 1277751 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B -I1225 09:50:48.891629 1277751 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB -I1225 09:50:48.891636 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.667677 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.667688 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.667695 197118 net.cpp:382] data -> data +I0128 18:51:27.667706 197118 net.cpp:382] data -> label +I0128 18:51:27.667719 197118 net.cpp:124] Setting up data +I0128 18:51:27.667724 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.667732 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.667737 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.667740 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.667749 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.667754 197118 net.cpp:408] conv <- data +I0128 18:51:27.667762 197118 net.cpp:382] conv -> conv +I0128 18:51:27.667793 197118 net.cpp:124] Setting up conv +I0128 18:51:27.667798 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.667802 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.667810 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.667833 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.667838 197118 net.cpp:408] ip <- conv +I0128 18:51:27.667845 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.668010 197118 net.cpp:124] Setting up ip +I0128 18:51:27.668013 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.668017 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.668023 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.668030 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.668032 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.668036 197118 net.cpp:408] loss <- label +I0128 18:51:27.668042 197118 net.cpp:382] loss -> loss +I0128 18:51:27.668049 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.668061 197118 net.cpp:124] Setting up loss +I0128 18:51:27.668066 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.668069 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.668076 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.668079 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.668083 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.668087 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.668092 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.668095 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.668102 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.668938 197118 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B +I0128 18:51:27.668947 197118 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB +I0128 18:51:27.668952 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -16884,43 +16918,43 @@ num_output: 1 } } -I1225 09:50:48.891763 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.891779 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.891789 1277751 net.cpp:382] data -> data -I1225 09:50:48.891816 1277751 net.cpp:124] Setting up data -I1225 09:50:48.891824 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.891830 1277751 net.cpp:139] Memory required for data: 400 -I1225 09:50:48.891836 1277751 layer_factory.hpp:77] Creating layer data_data_0_split -I1225 09:50:48.891846 1277751 net.cpp:86] Creating Layer data_data_0_split -I1225 09:50:48.891852 1277751 net.cpp:408] data_data_0_split <- data -I1225 09:50:48.891861 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I1225 09:50:48.891871 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I1225 09:50:48.891882 1277751 net.cpp:124] Setting up data_data_0_split -I1225 09:50:48.891887 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.891894 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.891901 1277751 net.cpp:139] Memory required for data: 1200 -I1225 09:50:48.891904 1277751 layer_factory.hpp:77] Creating layer A -I1225 09:50:48.891916 1277751 net.cpp:86] Creating Layer A -I1225 09:50:48.891919 1277751 net.cpp:408] A <- data_data_0_split_0 -I1225 09:50:48.891929 1277751 net.cpp:382] A -> A -I1225 09:50:48.891950 1277751 net.cpp:124] Setting up A -I1225 09:50:48.891957 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.891963 1277751 net.cpp:139] Memory required for data: 1204 -I1225 09:50:48.892091 1277751 layer_factory.hpp:77] Creating layer AorB -I1225 09:50:48.892102 1277751 net.cpp:86] Creating Layer AorB -I1225 09:50:48.892107 1277751 net.cpp:408] AorB <- data_data_0_split_1 -I1225 09:50:48.892117 1277751 net.cpp:382] AorB -> AorB -I1225 09:50:48.892136 1277751 net.cpp:124] Setting up AorB -I1225 09:50:48.892143 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.892149 1277751 net.cpp:139] Memory required for data: 1208 -I1225 09:50:48.892159 1277751 net.cpp:202] AorB does not need backward computation. -I1225 09:50:48.892164 1277751 net.cpp:202] A does not need backward computation. -I1225 09:50:48.892170 1277751 net.cpp:202] data_data_0_split does not need backward computation. -I1225 09:50:48.892176 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.892181 1277751 net.cpp:244] This network produces output A -I1225 09:50:48.892187 1277751 net.cpp:244] This network produces output AorB -I1225 09:50:48.892199 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.894174 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.669018 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.669025 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.669030 197118 net.cpp:382] data -> data +I0128 18:51:27.669041 197118 net.cpp:124] Setting up data +I0128 18:51:27.669045 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669050 197118 net.cpp:139] Memory required for data: 400 +I0128 18:51:27.669054 197118 layer_factory.hpp:77] Creating layer data_data_0_split +I0128 18:51:27.669060 197118 net.cpp:86] Creating Layer data_data_0_split +I0128 18:51:27.669063 197118 net.cpp:408] data_data_0_split <- data +I0128 18:51:27.669070 197118 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0128 18:51:27.669075 197118 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0128 18:51:27.669082 197118 net.cpp:124] Setting up data_data_0_split +I0128 18:51:27.669086 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669090 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669095 197118 net.cpp:139] Memory required for data: 1200 +I0128 18:51:27.669097 197118 layer_factory.hpp:77] Creating layer A +I0128 18:51:27.669102 197118 net.cpp:86] Creating Layer A +I0128 18:51:27.669106 197118 net.cpp:408] A <- data_data_0_split_0 +I0128 18:51:27.669111 197118 net.cpp:382] A -> A +I0128 18:51:27.669121 197118 net.cpp:124] Setting up A +I0128 18:51:27.669126 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.669129 197118 net.cpp:139] Memory required for data: 1204 +I0128 18:51:27.669137 197118 layer_factory.hpp:77] Creating layer AorB +I0128 18:51:27.669142 197118 net.cpp:86] Creating Layer AorB +I0128 18:51:27.669147 197118 net.cpp:408] AorB <- data_data_0_split_1 +I0128 18:51:27.669152 197118 net.cpp:382] AorB -> AorB +I0128 18:51:27.669162 197118 net.cpp:124] Setting up AorB +I0128 18:51:27.669165 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.669169 197118 net.cpp:139] Memory required for data: 1208 +I0128 18:51:27.669175 197118 net.cpp:202] AorB does not need backward computation. +I0128 18:51:27.669178 197118 net.cpp:202] A does not need backward computation. +I0128 18:51:27.669183 197118 net.cpp:202] data_data_0_split does not need backward computation. +I0128 18:51:27.669186 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.669189 197118 net.cpp:244] This network produces output A +I0128 18:51:27.669193 197118 net.cpp:244] This network produces output AorB +I0128 18:51:27.669198 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.669657 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -16992,68 +17026,68 @@ num_output: 1 } } -I1225 09:50:48.894313 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.894326 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.894333 1277751 net.cpp:382] data -> data -I1225 09:50:48.894356 1277751 net.cpp:124] Setting up data -I1225 09:50:48.894361 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.894367 1277751 net.cpp:139] Memory required for data: 400 -I1225 09:50:48.894373 1277751 layer_factory.hpp:77] Creating layer data_data_0_split -I1225 09:50:48.894383 1277751 net.cpp:86] Creating Layer data_data_0_split -I1225 09:50:48.894388 1277751 net.cpp:408] data_data_0_split <- data -I1225 09:50:48.894397 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I1225 09:50:48.894408 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I1225 09:50:48.894418 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_2 -I1225 09:50:48.894426 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_3 -I1225 09:50:48.894436 1277751 net.cpp:124] Setting up data_data_0_split -I1225 09:50:48.894443 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.894448 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.894455 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.894461 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.894467 1277751 net.cpp:139] Memory required for data: 2000 -I1225 09:50:48.894471 1277751 layer_factory.hpp:77] Creating layer A -I1225 09:50:48.894480 1277751 net.cpp:86] Creating Layer A -I1225 09:50:48.894484 1277751 net.cpp:408] A <- data_data_0_split_0 -I1225 09:50:48.894492 1277751 net.cpp:382] A -> A -I1225 09:50:48.894510 1277751 net.cpp:124] Setting up A -I1225 09:50:48.894516 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.894521 1277751 net.cpp:139] Memory required for data: 2004 -I1225 09:50:48.894533 1277751 layer_factory.hpp:77] Creating layer B -I1225 09:50:48.894541 1277751 net.cpp:86] Creating Layer B -I1225 09:50:48.894546 1277751 net.cpp:408] B <- data_data_0_split_1 -I1225 09:50:48.894553 1277751 net.cpp:382] B -> B -I1225 09:50:48.894567 1277751 net.cpp:124] Setting up B -I1225 09:50:48.894570 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.894575 1277751 net.cpp:139] Memory required for data: 2008 -I1225 09:50:48.894583 1277751 layer_factory.hpp:77] Creating layer AorB -I1225 09:50:48.894590 1277751 net.cpp:86] Creating Layer AorB -I1225 09:50:48.894595 1277751 net.cpp:408] AorB <- data_data_0_split_2 -I1225 09:50:48.894603 1277751 net.cpp:382] AorB -> AorB -I1225 09:50:48.894615 1277751 net.cpp:124] Setting up AorB -I1225 09:50:48.894619 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.894624 1277751 net.cpp:139] Memory required for data: 2012 -I1225 09:50:48.894632 1277751 layer_factory.hpp:77] Creating layer AandB -I1225 09:50:48.894640 1277751 net.cpp:86] Creating Layer AandB -I1225 09:50:48.894645 1277751 net.cpp:408] AandB <- data_data_0_split_3 -I1225 09:50:48.894652 1277751 net.cpp:382] AandB -> AandB -I1225 09:50:48.894665 1277751 net.cpp:124] Setting up AandB -I1225 09:50:48.894670 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.894675 1277751 net.cpp:139] Memory required for data: 2016 -I1225 09:50:48.894685 1277751 net.cpp:202] AandB does not need backward computation. -I1225 09:50:48.894690 1277751 net.cpp:202] AorB does not need backward computation. -I1225 09:50:48.894693 1277751 net.cpp:202] B does not need backward computation. -I1225 09:50:48.894698 1277751 net.cpp:202] A does not need backward computation. -I1225 09:50:48.894703 1277751 net.cpp:202] data_data_0_split does not need backward computation. -I1225 09:50:48.894708 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.894712 1277751 net.cpp:244] This network produces output A -I1225 09:50:48.894717 1277751 net.cpp:244] This network produces output AandB -I1225 09:50:48.894722 1277751 net.cpp:244] This network produces output AorB -I1225 09:50:48.894726 1277751 net.cpp:244] This network produces output B -I1225 09:50:48.894737 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.895362 1277751 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A -I1225 09:50:48.895373 1277751 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB -I1225 09:50:48.895380 1277751 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB -I1225 09:50:48.895385 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.669737 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.669746 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.669752 197118 net.cpp:382] data -> data +I0128 18:51:27.669762 197118 net.cpp:124] Setting up data +I0128 18:51:27.669766 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669770 197118 net.cpp:139] Memory required for data: 400 +I0128 18:51:27.669775 197118 layer_factory.hpp:77] Creating layer data_data_0_split +I0128 18:51:27.669780 197118 net.cpp:86] Creating Layer data_data_0_split +I0128 18:51:27.669785 197118 net.cpp:408] data_data_0_split <- data +I0128 18:51:27.669790 197118 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0128 18:51:27.669796 197118 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0128 18:51:27.669803 197118 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0128 18:51:27.669809 197118 net.cpp:382] data_data_0_split -> data_data_0_split_3 +I0128 18:51:27.669816 197118 net.cpp:124] Setting up data_data_0_split +I0128 18:51:27.669819 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669824 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669828 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669832 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.669836 197118 net.cpp:139] Memory required for data: 2000 +I0128 18:51:27.669839 197118 layer_factory.hpp:77] Creating layer A +I0128 18:51:27.669845 197118 net.cpp:86] Creating Layer A +I0128 18:51:27.669849 197118 net.cpp:408] A <- data_data_0_split_0 +I0128 18:51:27.669855 197118 net.cpp:382] A -> A +I0128 18:51:27.669865 197118 net.cpp:124] Setting up A +I0128 18:51:27.669869 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.669873 197118 net.cpp:139] Memory required for data: 2004 +I0128 18:51:27.669880 197118 layer_factory.hpp:77] Creating layer B +I0128 18:51:27.669886 197118 net.cpp:86] Creating Layer B +I0128 18:51:27.669890 197118 net.cpp:408] B <- data_data_0_split_1 +I0128 18:51:27.669895 197118 net.cpp:382] B -> B +I0128 18:51:27.669905 197118 net.cpp:124] Setting up B +I0128 18:51:27.669909 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.669912 197118 net.cpp:139] Memory required for data: 2008 +I0128 18:51:27.669919 197118 layer_factory.hpp:77] Creating layer AorB +I0128 18:51:27.669925 197118 net.cpp:86] Creating Layer AorB +I0128 18:51:27.669929 197118 net.cpp:408] AorB <- data_data_0_split_2 +I0128 18:51:27.669934 197118 net.cpp:382] AorB -> AorB +I0128 18:51:27.669943 197118 net.cpp:124] Setting up AorB +I0128 18:51:27.669947 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.669951 197118 net.cpp:139] Memory required for data: 2012 +I0128 18:51:27.669957 197118 layer_factory.hpp:77] Creating layer AandB +I0128 18:51:27.669962 197118 net.cpp:86] Creating Layer AandB +I0128 18:51:27.669966 197118 net.cpp:408] AandB <- data_data_0_split_3 +I0128 18:51:27.669971 197118 net.cpp:382] AandB -> AandB +I0128 18:51:27.669981 197118 net.cpp:124] Setting up AandB +I0128 18:51:27.669984 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.669988 197118 net.cpp:139] Memory required for data: 2016 +I0128 18:51:27.669993 197118 net.cpp:202] AandB does not need backward computation. +I0128 18:51:27.669996 197118 net.cpp:202] AorB does not need backward computation. +I0128 18:51:27.670001 197118 net.cpp:202] B does not need backward computation. +I0128 18:51:27.670003 197118 net.cpp:202] A does not need backward computation. +I0128 18:51:27.670007 197118 net.cpp:202] data_data_0_split does not need backward computation. +I0128 18:51:27.670011 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.670014 197118 net.cpp:244] This network produces output A +I0128 18:51:27.670017 197118 net.cpp:244] This network produces output AandB +I0128 18:51:27.670022 197118 net.cpp:244] This network produces output AorB +I0128 18:51:27.670024 197118 net.cpp:244] This network produces output B +I0128 18:51:27.670032 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.671662 197118 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A +I0128 18:51:27.671677 197118 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB +I0128 18:51:27.671684 197118 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB +I0128 18:51:27.671689 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17099,43 +17133,43 @@ num_output: 1 } } -I1225 09:50:48.895476 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.895486 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.895494 1277751 net.cpp:382] data -> data -I1225 09:50:48.895509 1277751 net.cpp:124] Setting up data -I1225 09:50:48.895515 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.895521 1277751 net.cpp:139] Memory required for data: 400 -I1225 09:50:48.895527 1277751 layer_factory.hpp:77] Creating layer data_data_0_split -I1225 09:50:48.895535 1277751 net.cpp:86] Creating Layer data_data_0_split -I1225 09:50:48.895540 1277751 net.cpp:408] data_data_0_split <- data -I1225 09:50:48.895548 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I1225 09:50:48.895557 1277751 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I1225 09:50:48.895567 1277751 net.cpp:124] Setting up data_data_0_split -I1225 09:50:48.895572 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.895579 1277751 net.cpp:131] Top shape: 1 1 10 10 (100) -I1225 09:50:48.895586 1277751 net.cpp:139] Memory required for data: 1200 -I1225 09:50:48.895591 1277751 layer_factory.hpp:77] Creating layer B -I1225 09:50:48.895598 1277751 net.cpp:86] Creating Layer B -I1225 09:50:48.895603 1277751 net.cpp:408] B <- data_data_0_split_0 -I1225 09:50:48.895612 1277751 net.cpp:382] B -> B -I1225 09:50:48.895627 1277751 net.cpp:124] Setting up B -I1225 09:50:48.895632 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.895638 1277751 net.cpp:139] Memory required for data: 1204 -I1225 09:50:48.895649 1277751 layer_factory.hpp:77] Creating layer AorB -I1225 09:50:48.895659 1277751 net.cpp:86] Creating Layer AorB -I1225 09:50:48.895664 1277751 net.cpp:408] AorB <- data_data_0_split_1 -I1225 09:50:48.895673 1277751 net.cpp:382] AorB -> AorB -I1225 09:50:48.895689 1277751 net.cpp:124] Setting up AorB -I1225 09:50:48.895694 1277751 net.cpp:131] Top shape: 1 1 (1) -I1225 09:50:48.895700 1277751 net.cpp:139] Memory required for data: 1208 -I1225 09:50:48.895709 1277751 net.cpp:202] AorB does not need backward computation. -I1225 09:50:48.895715 1277751 net.cpp:202] B does not need backward computation. -I1225 09:50:48.895720 1277751 net.cpp:202] data_data_0_split does not need backward computation. -I1225 09:50:48.895730 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.895735 1277751 net.cpp:244] This network produces output AorB -I1225 09:50:48.895740 1277751 net.cpp:244] This network produces output B -I1225 09:50:48.895749 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.897747 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.671758 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.671766 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.671772 197118 net.cpp:382] data -> data +I0128 18:51:27.671787 197118 net.cpp:124] Setting up data +I0128 18:51:27.671792 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.671797 197118 net.cpp:139] Memory required for data: 400 +I0128 18:51:27.671800 197118 layer_factory.hpp:77] Creating layer data_data_0_split +I0128 18:51:27.671808 197118 net.cpp:86] Creating Layer data_data_0_split +I0128 18:51:27.671811 197118 net.cpp:408] data_data_0_split <- data +I0128 18:51:27.671818 197118 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0128 18:51:27.671825 197118 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0128 18:51:27.671833 197118 net.cpp:124] Setting up data_data_0_split +I0128 18:51:27.671837 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.671842 197118 net.cpp:131] Top shape: 1 1 10 10 (100) +I0128 18:51:27.671847 197118 net.cpp:139] Memory required for data: 1200 +I0128 18:51:27.671850 197118 layer_factory.hpp:77] Creating layer B +I0128 18:51:27.671857 197118 net.cpp:86] Creating Layer B +I0128 18:51:27.671861 197118 net.cpp:408] B <- data_data_0_split_0 +I0128 18:51:27.671867 197118 net.cpp:382] B -> B +I0128 18:51:27.671880 197118 net.cpp:124] Setting up B +I0128 18:51:27.671885 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.671888 197118 net.cpp:139] Memory required for data: 1204 +I0128 18:51:27.671897 197118 layer_factory.hpp:77] Creating layer AorB +I0128 18:51:27.671903 197118 net.cpp:86] Creating Layer AorB +I0128 18:51:27.671911 197118 net.cpp:408] AorB <- data_data_0_split_1 +I0128 18:51:27.671918 197118 net.cpp:382] AorB -> AorB +I0128 18:51:27.671931 197118 net.cpp:124] Setting up AorB +I0128 18:51:27.671936 197118 net.cpp:131] Top shape: 1 1 (1) +I0128 18:51:27.671939 197118 net.cpp:139] Memory required for data: 1208 +I0128 18:51:27.671947 197118 net.cpp:202] AorB does not need backward computation. +I0128 18:51:27.671950 197118 net.cpp:202] B does not need backward computation. +I0128 18:51:27.671954 197118 net.cpp:202] data_data_0_split does not need backward computation. +I0128 18:51:27.671958 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.671962 197118 net.cpp:244] This network produces output AorB +I0128 18:51:27.671967 197118 net.cpp:244] This network produces output B +I0128 18:51:27.671973 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.673692 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17248,85 +17282,85 @@ bottom: "label" top: "loss" } -I1225 09:50:48.897929 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.897941 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.897949 1277751 net.cpp:382] data -> data -I1225 09:50:48.897964 1277751 net.cpp:382] data -> label -I1225 09:50:48.898048 1277751 net.cpp:124] Setting up data -I1225 09:50:48.898054 1277751 net.cpp:131] Top shape: 50 1 28 28 (39200) -I1225 09:50:48.898063 1277751 net.cpp:131] Top shape: 50 1 1 1 (50) -I1225 09:50:48.898069 1277751 net.cpp:139] Memory required for data: 157000 -I1225 09:50:48.898074 1277751 layer_factory.hpp:77] Creating layer conv1 -I1225 09:50:48.898084 1277751 net.cpp:86] Creating Layer conv1 -I1225 09:50:48.898090 1277751 net.cpp:408] conv1 <- data -I1225 09:50:48.898098 1277751 net.cpp:382] conv1 -> conv1 -I1225 09:50:48.898138 1277751 net.cpp:124] Setting up conv1 -I1225 09:50:48.898144 1277751 net.cpp:131] Top shape: 50 20 24 24 (576000) -I1225 09:50:48.898150 1277751 net.cpp:139] Memory required for data: 2461000 -I1225 09:50:48.898161 1277751 layer_factory.hpp:77] Creating layer pool1 -I1225 09:50:48.898170 1277751 net.cpp:86] Creating Layer pool1 -I1225 09:50:48.898175 1277751 net.cpp:408] pool1 <- conv1 -I1225 09:50:48.898182 1277751 net.cpp:382] pool1 -> pool1 -I1225 09:50:48.898206 1277751 net.cpp:124] Setting up pool1 -I1225 09:50:48.898211 1277751 net.cpp:131] Top shape: 50 20 12 12 (144000) -I1225 09:50:48.898217 1277751 net.cpp:139] Memory required for data: 3037000 -I1225 09:50:48.898222 1277751 layer_factory.hpp:77] Creating layer conv2 -I1225 09:50:48.898231 1277751 net.cpp:86] Creating Layer conv2 -I1225 09:50:48.898236 1277751 net.cpp:408] conv2 <- pool1 -I1225 09:50:48.898242 1277751 net.cpp:382] conv2 -> conv2 -I1225 09:50:48.898504 1277751 net.cpp:124] Setting up conv2 -I1225 09:50:48.898512 1277751 net.cpp:131] Top shape: 50 50 8 8 (160000) -I1225 09:50:48.898519 1277751 net.cpp:139] Memory required for data: 3677000 -I1225 09:50:48.898527 1277751 layer_factory.hpp:77] Creating layer pool2 -I1225 09:50:48.898535 1277751 net.cpp:86] Creating Layer pool2 -I1225 09:50:48.898540 1277751 net.cpp:408] pool2 <- conv2 -I1225 09:50:48.898550 1277751 net.cpp:382] pool2 -> pool2 -I1225 09:50:48.898561 1277751 net.cpp:124] Setting up pool2 -I1225 09:50:48.898564 1277751 net.cpp:131] Top shape: 50 50 4 4 (40000) -I1225 09:50:48.898571 1277751 net.cpp:139] Memory required for data: 3837000 -I1225 09:50:48.898576 1277751 layer_factory.hpp:77] Creating layer ip1 -I1225 09:50:48.898581 1277751 net.cpp:86] Creating Layer ip1 -I1225 09:50:48.898586 1277751 net.cpp:408] ip1 <- pool2 -I1225 09:50:48.898592 1277751 net.cpp:382] ip1 -> ip1 -I1225 09:50:48.903673 1277751 net.cpp:124] Setting up ip1 -I1225 09:50:48.903714 1277751 net.cpp:131] Top shape: 50 500 (25000) -I1225 09:50:48.903724 1277751 net.cpp:139] Memory required for data: 3937000 -I1225 09:50:48.903744 1277751 layer_factory.hpp:77] Creating layer relu1 -I1225 09:50:48.903760 1277751 net.cpp:86] Creating Layer relu1 -I1225 09:50:48.903766 1277751 net.cpp:408] relu1 <- ip1 -I1225 09:50:48.903776 1277751 net.cpp:369] relu1 -> ip1 (in-place) -I1225 09:50:48.903806 1277751 net.cpp:124] Setting up relu1 -I1225 09:50:48.903811 1277751 net.cpp:131] Top shape: 50 500 (25000) -I1225 09:50:48.903816 1277751 net.cpp:139] Memory required for data: 4037000 -I1225 09:50:48.903821 1277751 layer_factory.hpp:77] Creating layer ip2 -I1225 09:50:48.903829 1277751 net.cpp:86] Creating Layer ip2 -I1225 09:50:48.903833 1277751 net.cpp:408] ip2 <- ip1 -I1225 09:50:48.903841 1277751 net.cpp:382] ip2 -> ip2 -I1225 09:50:48.903911 1277751 net.cpp:124] Setting up ip2 -I1225 09:50:48.903916 1277751 net.cpp:131] Top shape: 50 10 (500) -I1225 09:50:48.903923 1277751 net.cpp:139] Memory required for data: 4039000 -I1225 09:50:48.903929 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.903940 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:48.903945 1277751 net.cpp:408] loss <- ip2 -I1225 09:50:48.903951 1277751 net.cpp:408] loss <- label -I1225 09:50:48.903959 1277751 net.cpp:382] loss -> loss -I1225 09:50:48.903971 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:48.903990 1277751 net.cpp:124] Setting up loss -I1225 09:50:48.903995 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.904000 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.904021 1277751 net.cpp:139] Memory required for data: 4039004 -I1225 09:50:48.904026 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:48.904032 1277751 net.cpp:200] ip2 needs backward computation. -I1225 09:50:48.904037 1277751 net.cpp:200] relu1 needs backward computation. -I1225 09:50:48.904042 1277751 net.cpp:200] ip1 needs backward computation. -I1225 09:50:48.904047 1277751 net.cpp:200] pool2 needs backward computation. -I1225 09:50:48.904052 1277751 net.cpp:200] conv2 needs backward computation. -I1225 09:50:48.904057 1277751 net.cpp:200] pool1 needs backward computation. -I1225 09:50:48.904062 1277751 net.cpp:200] conv1 needs backward computation. -I1225 09:50:48.904068 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.904072 1277751 net.cpp:244] This network produces output loss -I1225 09:50:48.904084 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.906302 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.673833 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.673843 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.673849 197118 net.cpp:382] data -> data +I0128 18:51:27.673861 197118 net.cpp:382] data -> label +I0128 18:51:27.673965 197118 net.cpp:124] Setting up data +I0128 18:51:27.673970 197118 net.cpp:131] Top shape: 50 1 28 28 (39200) +I0128 18:51:27.673977 197118 net.cpp:131] Top shape: 50 1 1 1 (50) +I0128 18:51:27.673982 197118 net.cpp:139] Memory required for data: 157000 +I0128 18:51:27.673986 197118 layer_factory.hpp:77] Creating layer conv1 +I0128 18:51:27.674002 197118 net.cpp:86] Creating Layer conv1 +I0128 18:51:27.674007 197118 net.cpp:408] conv1 <- data +I0128 18:51:27.674013 197118 net.cpp:382] conv1 -> conv1 +I0128 18:51:27.674046 197118 net.cpp:124] Setting up conv1 +I0128 18:51:27.674050 197118 net.cpp:131] Top shape: 50 20 24 24 (576000) +I0128 18:51:27.674054 197118 net.cpp:139] Memory required for data: 2461000 +I0128 18:51:27.674062 197118 layer_factory.hpp:77] Creating layer pool1 +I0128 18:51:27.674069 197118 net.cpp:86] Creating Layer pool1 +I0128 18:51:27.674073 197118 net.cpp:408] pool1 <- conv1 +I0128 18:51:27.674078 197118 net.cpp:382] pool1 -> pool1 +I0128 18:51:27.674103 197118 net.cpp:124] Setting up pool1 +I0128 18:51:27.674106 197118 net.cpp:131] Top shape: 50 20 12 12 (144000) +I0128 18:51:27.674111 197118 net.cpp:139] Memory required for data: 3037000 +I0128 18:51:27.674114 197118 layer_factory.hpp:77] Creating layer conv2 +I0128 18:51:27.674121 197118 net.cpp:86] Creating Layer conv2 +I0128 18:51:27.674124 197118 net.cpp:408] conv2 <- pool1 +I0128 18:51:27.674129 197118 net.cpp:382] conv2 -> conv2 +I0128 18:51:27.674417 197118 net.cpp:124] Setting up conv2 +I0128 18:51:27.674422 197118 net.cpp:131] Top shape: 50 50 8 8 (160000) +I0128 18:51:27.674427 197118 net.cpp:139] Memory required for data: 3677000 +I0128 18:51:27.674433 197118 layer_factory.hpp:77] Creating layer pool2 +I0128 18:51:27.674439 197118 net.cpp:86] Creating Layer pool2 +I0128 18:51:27.674443 197118 net.cpp:408] pool2 <- conv2 +I0128 18:51:27.674448 197118 net.cpp:382] pool2 -> pool2 +I0128 18:51:27.674454 197118 net.cpp:124] Setting up pool2 +I0128 18:51:27.674458 197118 net.cpp:131] Top shape: 50 50 4 4 (40000) +I0128 18:51:27.674463 197118 net.cpp:139] Memory required for data: 3837000 +I0128 18:51:27.674465 197118 layer_factory.hpp:77] Creating layer ip1 +I0128 18:51:27.674470 197118 net.cpp:86] Creating Layer ip1 +I0128 18:51:27.674474 197118 net.cpp:408] ip1 <- pool2 +I0128 18:51:27.674485 197118 net.cpp:382] ip1 -> ip1 +I0128 18:51:27.679435 197118 net.cpp:124] Setting up ip1 +I0128 18:51:27.679458 197118 net.cpp:131] Top shape: 50 500 (25000) +I0128 18:51:27.679466 197118 net.cpp:139] Memory required for data: 3937000 +I0128 18:51:27.679481 197118 layer_factory.hpp:77] Creating layer relu1 +I0128 18:51:27.679493 197118 net.cpp:86] Creating Layer relu1 +I0128 18:51:27.679499 197118 net.cpp:408] relu1 <- ip1 +I0128 18:51:27.679508 197118 net.cpp:369] relu1 -> ip1 (in-place) +I0128 18:51:27.679533 197118 net.cpp:124] Setting up relu1 +I0128 18:51:27.679536 197118 net.cpp:131] Top shape: 50 500 (25000) +I0128 18:51:27.679541 197118 net.cpp:139] Memory required for data: 4037000 +I0128 18:51:27.679544 197118 layer_factory.hpp:77] Creating layer ip2 +I0128 18:51:27.679551 197118 net.cpp:86] Creating Layer ip2 +I0128 18:51:27.679555 197118 net.cpp:408] ip2 <- ip1 +I0128 18:51:27.679561 197118 net.cpp:382] ip2 -> ip2 +I0128 18:51:27.679636 197118 net.cpp:124] Setting up ip2 +I0128 18:51:27.679639 197118 net.cpp:131] Top shape: 50 10 (500) +I0128 18:51:27.679644 197118 net.cpp:139] Memory required for data: 4039000 +I0128 18:51:27.679651 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.679661 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.679664 197118 net.cpp:408] loss <- ip2 +I0128 18:51:27.679668 197118 net.cpp:408] loss <- label +I0128 18:51:27.679673 197118 net.cpp:382] loss -> loss +I0128 18:51:27.679684 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.679703 197118 net.cpp:124] Setting up loss +I0128 18:51:27.679708 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.679713 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.679735 197118 net.cpp:139] Memory required for data: 4039004 +I0128 18:51:27.679739 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.679744 197118 net.cpp:200] ip2 needs backward computation. +I0128 18:51:27.679749 197118 net.cpp:200] relu1 needs backward computation. +I0128 18:51:27.679751 197118 net.cpp:200] ip1 needs backward computation. +I0128 18:51:27.679756 197118 net.cpp:200] pool2 needs backward computation. +I0128 18:51:27.679760 197118 net.cpp:200] conv2 needs backward computation. +I0128 18:51:27.679765 197118 net.cpp:200] pool1 needs backward computation. +I0128 18:51:27.679770 197118 net.cpp:200] conv1 needs backward computation. +I0128 18:51:27.679775 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.679780 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.679790 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.681440 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17439,87 +17473,87 @@ bottom: "DummyData2" top: "SoftmaxWithLoss1" } -I1225 09:50:48.906457 1277751 layer_factory.hpp:77] Creating layer DummyData1 -I1225 09:50:48.906471 1277751 net.cpp:86] Creating Layer DummyData1 -I1225 09:50:48.906479 1277751 net.cpp:382] DummyData1 -> DummyData1 -I1225 09:50:48.906492 1277751 net.cpp:382] DummyData1 -> DummyData2 -I1225 09:50:48.906610 1277751 net.cpp:124] Setting up DummyData1 -I1225 09:50:48.906616 1277751 net.cpp:131] Top shape: 50 1 28 28 (39200) -I1225 09:50:48.906626 1277751 net.cpp:131] Top shape: 50 1 1 1 (50) -I1225 09:50:48.906632 1277751 net.cpp:139] Memory required for data: 157000 -I1225 09:50:48.906638 1277751 layer_factory.hpp:77] Creating layer Convolution1 -I1225 09:50:48.906649 1277751 net.cpp:86] Creating Layer Convolution1 -I1225 09:50:48.906656 1277751 net.cpp:408] Convolution1 <- DummyData1 -I1225 09:50:48.906666 1277751 net.cpp:382] Convolution1 -> Convolution1 -I1225 09:50:48.906708 1277751 net.cpp:124] Setting up Convolution1 -I1225 09:50:48.906713 1277751 net.cpp:131] Top shape: 50 20 24 24 (576000) -I1225 09:50:48.906720 1277751 net.cpp:139] Memory required for data: 2461000 -I1225 09:50:48.906731 1277751 layer_factory.hpp:77] Creating layer Pooling1 -I1225 09:50:48.906742 1277751 net.cpp:86] Creating Layer Pooling1 -I1225 09:50:48.906747 1277751 net.cpp:408] Pooling1 <- Convolution1 -I1225 09:50:48.906755 1277751 net.cpp:382] Pooling1 -> Pooling1 -I1225 09:50:48.906767 1277751 net.cpp:124] Setting up Pooling1 -I1225 09:50:48.906774 1277751 net.cpp:131] Top shape: 50 20 12 12 (144000) -I1225 09:50:48.906780 1277751 net.cpp:139] Memory required for data: 3037000 -I1225 09:50:48.906785 1277751 layer_factory.hpp:77] Creating layer Convolution2 -I1225 09:50:48.906793 1277751 net.cpp:86] Creating Layer Convolution2 -I1225 09:50:48.906798 1277751 net.cpp:408] Convolution2 <- Pooling1 -I1225 09:50:48.906805 1277751 net.cpp:382] Convolution2 -> Convolution2 -I1225 09:50:48.907099 1277751 net.cpp:124] Setting up Convolution2 -I1225 09:50:48.907105 1277751 net.cpp:131] Top shape: 50 50 8 8 (160000) -I1225 09:50:48.907112 1277751 net.cpp:139] Memory required for data: 3677000 -I1225 09:50:48.907120 1277751 layer_factory.hpp:77] Creating layer Pooling2 -I1225 09:50:48.907128 1277751 net.cpp:86] Creating Layer Pooling2 -I1225 09:50:48.907133 1277751 net.cpp:408] Pooling2 <- Convolution2 -I1225 09:50:48.907140 1277751 net.cpp:382] Pooling2 -> Pooling2 -I1225 09:50:48.907152 1277751 net.cpp:124] Setting up Pooling2 -I1225 09:50:48.907156 1277751 net.cpp:131] Top shape: 50 50 4 4 (40000) -I1225 09:50:48.907163 1277751 net.cpp:139] Memory required for data: 3837000 -I1225 09:50:48.907168 1277751 layer_factory.hpp:77] Creating layer InnerProduct1 -I1225 09:50:48.907176 1277751 net.cpp:86] Creating Layer InnerProduct1 -I1225 09:50:48.907181 1277751 net.cpp:408] InnerProduct1 <- Pooling2 -I1225 09:50:48.907187 1277751 net.cpp:382] InnerProduct1 -> InnerProduct1 -I1225 09:50:48.919492 1277751 net.cpp:124] Setting up InnerProduct1 -I1225 09:50:48.919543 1277751 net.cpp:131] Top shape: 50 500 (25000) -I1225 09:50:48.919554 1277751 net.cpp:139] Memory required for data: 3937000 -I1225 09:50:48.919574 1277751 layer_factory.hpp:77] Creating layer ReLU1 -I1225 09:50:48.924530 1277751 net.cpp:86] Creating Layer ReLU1 -I1225 09:50:48.924569 1277751 net.cpp:408] ReLU1 <- InnerProduct1 -I1225 09:50:48.924585 1277751 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) -I1225 09:50:48.924605 1277751 net.cpp:124] Setting up ReLU1 -I1225 09:50:48.924611 1277751 net.cpp:131] Top shape: 50 500 (25000) -I1225 09:50:48.924620 1277751 net.cpp:139] Memory required for data: 4037000 -I1225 09:50:48.924628 1277751 layer_factory.hpp:77] Creating layer InnerProduct2 -I1225 09:50:48.924641 1277751 net.cpp:86] Creating Layer InnerProduct2 -I1225 09:50:48.924649 1277751 net.cpp:408] InnerProduct2 <- InnerProduct1 -I1225 09:50:48.924657 1277751 net.cpp:382] InnerProduct2 -> InnerProduct2 -I1225 09:50:48.924752 1277751 net.cpp:124] Setting up InnerProduct2 -I1225 09:50:48.924760 1277751 net.cpp:131] Top shape: 50 10 (500) -I1225 09:50:48.924767 1277751 net.cpp:139] Memory required for data: 4039000 -I1225 09:50:48.924777 1277751 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 -I1225 09:50:48.924791 1277751 net.cpp:86] Creating Layer SoftmaxWithLoss1 -I1225 09:50:48.924798 1277751 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 -I1225 09:50:48.924806 1277751 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 -I1225 09:50:48.924814 1277751 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 -I1225 09:50:48.924830 1277751 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 -I1225 09:50:48.924851 1277751 net.cpp:124] Setting up SoftmaxWithLoss1 -I1225 09:50:48.924857 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.924863 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:48.924885 1277751 net.cpp:139] Memory required for data: 4039004 -I1225 09:50:48.924890 1277751 net.cpp:200] SoftmaxWithLoss1 needs backward computation. -I1225 09:50:48.924896 1277751 net.cpp:200] InnerProduct2 needs backward computation. -I1225 09:50:48.924902 1277751 net.cpp:200] ReLU1 needs backward computation. -I1225 09:50:48.924908 1277751 net.cpp:200] InnerProduct1 needs backward computation. -I1225 09:50:48.924914 1277751 net.cpp:200] Pooling2 needs backward computation. -I1225 09:50:48.924921 1277751 net.cpp:200] Convolution2 needs backward computation. -I1225 09:50:48.924927 1277751 net.cpp:200] Pooling1 needs backward computation. -I1225 09:50:48.924934 1277751 net.cpp:200] Convolution1 needs backward computation. -I1225 09:50:48.924942 1277751 net.cpp:202] DummyData1 does not need backward computation. -I1225 09:50:48.924947 1277751 net.cpp:244] This network produces output SoftmaxWithLoss1 -I1225 09:50:48.924960 1277751 net.cpp:257] Network initialization done. +I0128 18:51:27.681679 197118 layer_factory.hpp:77] Creating layer DummyData1 +I0128 18:51:27.681689 197118 net.cpp:86] Creating Layer DummyData1 +I0128 18:51:27.681694 197118 net.cpp:382] DummyData1 -> DummyData1 +I0128 18:51:27.681702 197118 net.cpp:382] DummyData1 -> DummyData2 +I0128 18:51:27.681838 197118 net.cpp:124] Setting up DummyData1 +I0128 18:51:27.681843 197118 net.cpp:131] Top shape: 50 1 28 28 (39200) +I0128 18:51:27.681850 197118 net.cpp:131] Top shape: 50 1 1 1 (50) +I0128 18:51:27.681855 197118 net.cpp:139] Memory required for data: 157000 +I0128 18:51:27.681859 197118 layer_factory.hpp:77] Creating layer Convolution1 +I0128 18:51:27.681866 197118 net.cpp:86] Creating Layer Convolution1 +I0128 18:51:27.681870 197118 net.cpp:408] Convolution1 <- DummyData1 +I0128 18:51:27.681876 197118 net.cpp:382] Convolution1 -> Convolution1 +I0128 18:51:27.681907 197118 net.cpp:124] Setting up Convolution1 +I0128 18:51:27.681911 197118 net.cpp:131] Top shape: 50 20 24 24 (576000) +I0128 18:51:27.681915 197118 net.cpp:139] Memory required for data: 2461000 +I0128 18:51:27.681923 197118 layer_factory.hpp:77] Creating layer Pooling1 +I0128 18:51:27.681931 197118 net.cpp:86] Creating Layer Pooling1 +I0128 18:51:27.681933 197118 net.cpp:408] Pooling1 <- Convolution1 +I0128 18:51:27.681938 197118 net.cpp:382] Pooling1 -> Pooling1 +I0128 18:51:27.681949 197118 net.cpp:124] Setting up Pooling1 +I0128 18:51:27.681952 197118 net.cpp:131] Top shape: 50 20 12 12 (144000) +I0128 18:51:27.681957 197118 net.cpp:139] Memory required for data: 3037000 +I0128 18:51:27.681960 197118 layer_factory.hpp:77] Creating layer Convolution2 +I0128 18:51:27.681967 197118 net.cpp:86] Creating Layer Convolution2 +I0128 18:51:27.681969 197118 net.cpp:408] Convolution2 <- Pooling1 +I0128 18:51:27.681974 197118 net.cpp:382] Convolution2 -> Convolution2 +I0128 18:51:27.682245 197118 net.cpp:124] Setting up Convolution2 +I0128 18:51:27.682248 197118 net.cpp:131] Top shape: 50 50 8 8 (160000) +I0128 18:51:27.682253 197118 net.cpp:139] Memory required for data: 3677000 +I0128 18:51:27.682260 197118 layer_factory.hpp:77] Creating layer Pooling2 +I0128 18:51:27.682266 197118 net.cpp:86] Creating Layer Pooling2 +I0128 18:51:27.682271 197118 net.cpp:408] Pooling2 <- Convolution2 +I0128 18:51:27.682274 197118 net.cpp:382] Pooling2 -> Pooling2 +I0128 18:51:27.682281 197118 net.cpp:124] Setting up Pooling2 +I0128 18:51:27.682287 197118 net.cpp:131] Top shape: 50 50 4 4 (40000) +I0128 18:51:27.682291 197118 net.cpp:139] Memory required for data: 3837000 +I0128 18:51:27.682294 197118 layer_factory.hpp:77] Creating layer InnerProduct1 +I0128 18:51:27.682300 197118 net.cpp:86] Creating Layer InnerProduct1 +I0128 18:51:27.682303 197118 net.cpp:408] InnerProduct1 <- Pooling2 +I0128 18:51:27.682308 197118 net.cpp:382] InnerProduct1 -> InnerProduct1 +I0128 18:51:27.688002 197118 net.cpp:124] Setting up InnerProduct1 +I0128 18:51:27.688032 197118 net.cpp:131] Top shape: 50 500 (25000) +I0128 18:51:27.688041 197118 net.cpp:139] Memory required for data: 3937000 +I0128 18:51:27.688055 197118 layer_factory.hpp:77] Creating layer ReLU1 +I0128 18:51:27.688069 197118 net.cpp:86] Creating Layer ReLU1 +I0128 18:51:27.688074 197118 net.cpp:408] ReLU1 <- InnerProduct1 +I0128 18:51:27.688083 197118 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) +I0128 18:51:27.688097 197118 net.cpp:124] Setting up ReLU1 +I0128 18:51:27.688099 197118 net.cpp:131] Top shape: 50 500 (25000) +I0128 18:51:27.688103 197118 net.cpp:139] Memory required for data: 4037000 +I0128 18:51:27.688107 197118 layer_factory.hpp:77] Creating layer InnerProduct2 +I0128 18:51:27.688114 197118 net.cpp:86] Creating Layer InnerProduct2 +I0128 18:51:27.688118 197118 net.cpp:408] InnerProduct2 <- InnerProduct1 +I0128 18:51:27.688123 197118 net.cpp:382] InnerProduct2 -> InnerProduct2 +I0128 18:51:27.688194 197118 net.cpp:124] Setting up InnerProduct2 +I0128 18:51:27.688197 197118 net.cpp:131] Top shape: 50 10 (500) +I0128 18:51:27.688201 197118 net.cpp:139] Memory required for data: 4039000 +I0128 18:51:27.688207 197118 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 +I0128 18:51:27.688217 197118 net.cpp:86] Creating Layer SoftmaxWithLoss1 +I0128 18:51:27.688221 197118 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 +I0128 18:51:27.688225 197118 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 +I0128 18:51:27.688230 197118 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 +I0128 18:51:27.688242 197118 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 +I0128 18:51:27.688258 197118 net.cpp:124] Setting up SoftmaxWithLoss1 +I0128 18:51:27.688262 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.688266 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.688287 197118 net.cpp:139] Memory required for data: 4039004 +I0128 18:51:27.688290 197118 net.cpp:200] SoftmaxWithLoss1 needs backward computation. +I0128 18:51:27.688294 197118 net.cpp:200] InnerProduct2 needs backward computation. +I0128 18:51:27.688298 197118 net.cpp:200] ReLU1 needs backward computation. +I0128 18:51:27.688302 197118 net.cpp:200] InnerProduct1 needs backward computation. +I0128 18:51:27.688305 197118 net.cpp:200] Pooling2 needs backward computation. +I0128 18:51:27.688309 197118 net.cpp:200] Convolution2 needs backward computation. +I0128 18:51:27.688313 197118 net.cpp:200] Pooling1 needs backward computation. +I0128 18:51:27.688318 197118 net.cpp:200] Convolution1 needs backward computation. +I0128 18:51:27.688323 197118 net.cpp:202] DummyData1 does not need backward computation. +I0128 18:51:27.688325 197118 net.cpp:244] This network produces output SoftmaxWithLoss1 +I0128 18:51:27.688335 197118 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): -.I1225 09:50:48.927301 1277751 net.cpp:53] Initializing net from parameters: +.I0128 18:51:27.691417 197118 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17545,32 +17579,32 @@ type: "Silence" bottom: "data2" } -I1225 09:50:48.927369 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:48.927381 1277751 net.cpp:86] Creating Layer data -I1225 09:50:48.927389 1277751 net.cpp:382] data -> data -I1225 09:50:48.927402 1277751 net.cpp:382] data -> data2 -I1225 09:50:48.927423 1277751 net.cpp:124] Setting up data -I1225 09:50:48.927428 1277751 net.cpp:131] Top shape: 3 (3) -I1225 09:50:48.927436 1277751 net.cpp:131] Top shape: 3 (3) -I1225 09:50:48.927441 1277751 net.cpp:139] Memory required for data: 24 -I1225 09:50:48.927446 1277751 layer_factory.hpp:77] Creating layer silence_data -I1225 09:50:48.927467 1277751 net.cpp:86] Creating Layer silence_data -I1225 09:50:48.927474 1277751 net.cpp:408] silence_data <- data -I1225 09:50:48.927479 1277751 net.cpp:124] Setting up silence_data -I1225 09:50:48.927484 1277751 net.cpp:139] Memory required for data: 24 -I1225 09:50:48.927489 1277751 layer_factory.hpp:77] Creating layer silence_data2 -I1225 09:50:48.927496 1277751 net.cpp:86] Creating Layer silence_data2 -I1225 09:50:48.927503 1277751 net.cpp:408] silence_data2 <- data2 -I1225 09:50:48.927510 1277751 net.cpp:124] Setting up silence_data2 -I1225 09:50:48.927513 1277751 net.cpp:139] Memory required for data: 24 -I1225 09:50:48.927517 1277751 net.cpp:202] silence_data2 does not need backward computation. -I1225 09:50:48.927522 1277751 net.cpp:202] silence_data does not need backward computation. -I1225 09:50:48.927527 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:48.927533 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.928126 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp4rfabalu -I1225 09:50:48.928141 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.928146 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.928167 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.691485 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.691496 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.691504 197118 net.cpp:382] data -> data +I0128 18:51:27.691514 197118 net.cpp:382] data -> data2 +I0128 18:51:27.691529 197118 net.cpp:124] Setting up data +I0128 18:51:27.691535 197118 net.cpp:131] Top shape: 3 (3) +I0128 18:51:27.691541 197118 net.cpp:131] Top shape: 3 (3) +I0128 18:51:27.691546 197118 net.cpp:139] Memory required for data: 24 +I0128 18:51:27.691550 197118 layer_factory.hpp:77] Creating layer silence_data +I0128 18:51:27.691574 197118 net.cpp:86] Creating Layer silence_data +I0128 18:51:27.691578 197118 net.cpp:408] silence_data <- data +I0128 18:51:27.691586 197118 net.cpp:124] Setting up silence_data +I0128 18:51:27.691588 197118 net.cpp:139] Memory required for data: 24 +I0128 18:51:27.691592 197118 layer_factory.hpp:77] Creating layer silence_data2 +I0128 18:51:27.691597 197118 net.cpp:86] Creating Layer silence_data2 +I0128 18:51:27.691601 197118 net.cpp:408] silence_data2 <- data2 +I0128 18:51:27.691606 197118 net.cpp:124] Setting up silence_data2 +I0128 18:51:27.691609 197118 net.cpp:139] Memory required for data: 24 +I0128 18:51:27.691613 197118 net.cpp:202] silence_data2 does not need backward computation. +I0128 18:51:27.691617 197118 net.cpp:202] silence_data does not need backward computation. +I0128 18:51:27.691622 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.691627 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.692178 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpyq7kldqo +I0128 18:51:27.692193 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.692198 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.692217 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17619,43 +17653,43 @@ layer: "SimpleLayer" } } -I1225 09:50:48.928243 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.928256 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.928262 1277751 net.cpp:382] input -> data -I1225 09:50:48.928275 1277751 net.cpp:124] Setting up input -I1225 09:50:48.928282 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.928287 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.928292 1277751 layer_factory.hpp:77] Creating layer one -I1225 09:50:48.928334 1277751 net.cpp:86] Creating Layer one -I1225 09:50:48.928341 1277751 net.cpp:408] one <- data -I1225 09:50:48.928349 1277751 net.cpp:382] one -> one -I1225 09:50:48.928407 1277751 net.cpp:124] Setting up one -I1225 09:50:48.928414 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.928421 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.928426 1277751 layer_factory.hpp:77] Creating layer two -I1225 09:50:48.928728 1277751 net.cpp:86] Creating Layer two -I1225 09:50:48.928737 1277751 net.cpp:408] two <- one -I1225 09:50:48.928745 1277751 net.cpp:382] two -> two -I1225 09:50:48.928779 1277751 net.cpp:124] Setting up two -I1225 09:50:48.928786 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.928793 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.928798 1277751 layer_factory.hpp:77] Creating layer three -I1225 09:50:48.928825 1277751 net.cpp:86] Creating Layer three -I1225 09:50:48.928831 1277751 net.cpp:408] three <- two -I1225 09:50:48.928839 1277751 net.cpp:382] three -> three -I1225 09:50:48.928879 1277751 net.cpp:124] Setting up three -I1225 09:50:48.928885 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.928892 1277751 net.cpp:139] Memory required for data: 11520 -I1225 09:50:48.928898 1277751 net.cpp:202] three does not need backward computation. -I1225 09:50:48.928903 1277751 net.cpp:202] two does not need backward computation. -I1225 09:50:48.928910 1277751 net.cpp:202] one does not need backward computation. -I1225 09:50:48.928915 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.928920 1277751 net.cpp:244] This network produces output three -I1225 09:50:48.928930 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.936250 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpnmupbxpz -I1225 09:50:48.936281 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.936287 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.936323 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.692277 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.692286 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.692292 197118 net.cpp:382] input -> data +I0128 18:51:27.692303 197118 net.cpp:124] Setting up input +I0128 18:51:27.692307 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.692313 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.692317 197118 layer_factory.hpp:77] Creating layer one +I0128 18:51:27.692356 197118 net.cpp:86] Creating Layer one +I0128 18:51:27.692361 197118 net.cpp:408] one <- data +I0128 18:51:27.692368 197118 net.cpp:382] one -> one +I0128 18:51:27.692431 197118 net.cpp:124] Setting up one +I0128 18:51:27.692436 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.692441 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.692445 197118 layer_factory.hpp:77] Creating layer two +I0128 18:51:27.692461 197118 net.cpp:86] Creating Layer two +I0128 18:51:27.692466 197118 net.cpp:408] two <- one +I0128 18:51:27.692471 197118 net.cpp:382] two -> two +I0128 18:51:27.692492 197118 net.cpp:124] Setting up two +I0128 18:51:27.692500 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.692505 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.692509 197118 layer_factory.hpp:77] Creating layer three +I0128 18:51:27.692531 197118 net.cpp:86] Creating Layer three +I0128 18:51:27.692535 197118 net.cpp:408] three <- two +I0128 18:51:27.692540 197118 net.cpp:382] three -> three +I0128 18:51:27.692562 197118 net.cpp:124] Setting up three +I0128 18:51:27.692567 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.692572 197118 net.cpp:139] Memory required for data: 11520 +I0128 18:51:27.692575 197118 net.cpp:202] three does not need backward computation. +I0128 18:51:27.692579 197118 net.cpp:202] two does not need backward computation. +I0128 18:51:27.692584 197118 net.cpp:202] one does not need backward computation. +I0128 18:51:27.692588 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.692592 197118 net.cpp:244] This network produces output three +I0128 18:51:27.692600 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.710934 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpwn5gdqck +I0128 18:51:27.710988 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.710995 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.711031 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17704,43 +17738,43 @@ layer: "SimpleLayer" } } -I1225 09:50:48.944799 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.944850 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.944861 1277751 net.cpp:382] input -> data -I1225 09:50:48.944890 1277751 net.cpp:124] Setting up input -I1225 09:50:48.944896 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.944906 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.944912 1277751 layer_factory.hpp:77] Creating layer one -I1225 09:50:48.944994 1277751 net.cpp:86] Creating Layer one -I1225 09:50:48.945003 1277751 net.cpp:408] one <- data -I1225 09:50:48.945010 1277751 net.cpp:382] one -> one -I1225 09:50:48.945084 1277751 net.cpp:124] Setting up one -I1225 09:50:48.945092 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.945098 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.945103 1277751 layer_factory.hpp:77] Creating layer two -I1225 09:50:48.945127 1277751 net.cpp:86] Creating Layer two -I1225 09:50:48.945132 1277751 net.cpp:408] two <- one -I1225 09:50:48.945139 1277751 net.cpp:382] two -> two -I1225 09:50:48.945166 1277751 net.cpp:124] Setting up two -I1225 09:50:48.945173 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.945178 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.945183 1277751 layer_factory.hpp:77] Creating layer three -I1225 09:50:48.945204 1277751 net.cpp:86] Creating Layer three -I1225 09:50:48.945210 1277751 net.cpp:408] three <- two -I1225 09:50:48.945217 1277751 net.cpp:382] three -> three -I1225 09:50:48.945245 1277751 net.cpp:124] Setting up three -I1225 09:50:48.945251 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.945257 1277751 net.cpp:139] Memory required for data: 11520 -I1225 09:50:48.945262 1277751 net.cpp:202] three does not need backward computation. -I1225 09:50:48.945268 1277751 net.cpp:202] two does not need backward computation. -I1225 09:50:48.945273 1277751 net.cpp:202] one does not need backward computation. -I1225 09:50:48.945278 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.945286 1277751 net.cpp:244] This network produces output three -I1225 09:50:48.945294 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.945951 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmps1tngc22 -I1225 09:50:48.945969 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.945976 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.945997 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.711143 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.711159 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.711169 197118 net.cpp:382] input -> data +I0128 18:51:27.711195 197118 net.cpp:124] Setting up input +I0128 18:51:27.711201 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.711210 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.711215 197118 layer_factory.hpp:77] Creating layer one +I0128 18:51:27.711274 197118 net.cpp:86] Creating Layer one +I0128 18:51:27.711282 197118 net.cpp:408] one <- data +I0128 18:51:27.711292 197118 net.cpp:382] one -> one +I0128 18:51:27.711357 197118 net.cpp:124] Setting up one +I0128 18:51:27.711365 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.711372 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.711376 197118 layer_factory.hpp:77] Creating layer two +I0128 18:51:27.711405 197118 net.cpp:86] Creating Layer two +I0128 18:51:27.711410 197118 net.cpp:408] two <- one +I0128 18:51:27.711416 197118 net.cpp:382] two -> two +I0128 18:51:27.711448 197118 net.cpp:124] Setting up two +I0128 18:51:27.711455 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.711462 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.711467 197118 layer_factory.hpp:77] Creating layer three +I0128 18:51:27.711495 197118 net.cpp:86] Creating Layer three +I0128 18:51:27.711503 197118 net.cpp:408] three <- two +I0128 18:51:27.711513 197118 net.cpp:382] three -> three +I0128 18:51:27.711544 197118 net.cpp:124] Setting up three +I0128 18:51:27.711550 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.711556 197118 net.cpp:139] Memory required for data: 11520 +I0128 18:51:27.711562 197118 net.cpp:202] three does not need backward computation. +I0128 18:51:27.711567 197118 net.cpp:202] two does not need backward computation. +I0128 18:51:27.711573 197118 net.cpp:202] one does not need backward computation. +I0128 18:51:27.711578 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.711583 197118 net.cpp:244] This network produces output three +I0128 18:51:27.711592 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.712042 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9w0lvm8d +I0128 18:51:27.712055 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.712060 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.712076 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17769,20 +17803,20 @@ layer: "ExceptionLayer" } } -I1225 09:50:48.946084 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.946095 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.946103 1277751 net.cpp:382] input -> data -I1225 09:50:48.946117 1277751 net.cpp:124] Setting up input -I1225 09:50:48.946123 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.946131 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.946136 1277751 layer_factory.hpp:77] Creating layer layer -I1225 09:50:48.946173 1277751 net.cpp:86] Creating Layer layer -I1225 09:50:48.946183 1277751 net.cpp:408] layer <- data -I1225 09:50:48.946193 1277751 net.cpp:382] layer -> top -.I1225 09:50:48.946864 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp7o2ucfbg -I1225 09:50:48.946879 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.946884 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.946905 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.712132 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.712143 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.712150 197118 net.cpp:382] input -> data +I0128 18:51:27.712163 197118 net.cpp:124] Setting up input +I0128 18:51:27.712167 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.712174 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.712179 197118 layer_factory.hpp:77] Creating layer layer +I0128 18:51:27.712217 197118 net.cpp:86] Creating Layer layer +I0128 18:51:27.712224 197118 net.cpp:408] layer <- data +I0128 18:51:27.712232 197118 net.cpp:382] layer -> top +.I0128 18:51:27.712847 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp_qi4c5xh +I0128 18:51:27.712860 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.712865 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.712883 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17831,43 +17865,43 @@ layer: "SimpleLayer" } } -I1225 09:50:48.946990 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.947000 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.947010 1277751 net.cpp:382] input -> data -I1225 09:50:48.947022 1277751 net.cpp:124] Setting up input -I1225 09:50:48.947028 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.947037 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.947043 1277751 layer_factory.hpp:77] Creating layer one -I1225 09:50:48.947077 1277751 net.cpp:86] Creating Layer one -I1225 09:50:48.947083 1277751 net.cpp:408] one <- data -I1225 09:50:48.947093 1277751 net.cpp:382] one -> one -I1225 09:50:48.947142 1277751 net.cpp:124] Setting up one -I1225 09:50:48.947149 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.947156 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.947161 1277751 layer_factory.hpp:77] Creating layer two -I1225 09:50:48.947185 1277751 net.cpp:86] Creating Layer two -I1225 09:50:48.947191 1277751 net.cpp:408] two <- one -I1225 09:50:48.947199 1277751 net.cpp:382] two -> two -I1225 09:50:48.947229 1277751 net.cpp:124] Setting up two -I1225 09:50:48.947235 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.947242 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.947247 1277751 layer_factory.hpp:77] Creating layer three -I1225 09:50:48.947269 1277751 net.cpp:86] Creating Layer three -I1225 09:50:48.947275 1277751 net.cpp:408] three <- two -I1225 09:50:48.947283 1277751 net.cpp:382] three -> three -I1225 09:50:48.947314 1277751 net.cpp:124] Setting up three -I1225 09:50:48.947321 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.947329 1277751 net.cpp:139] Memory required for data: 11520 -I1225 09:50:48.947335 1277751 net.cpp:202] three does not need backward computation. -I1225 09:50:48.947340 1277751 net.cpp:202] two does not need backward computation. -I1225 09:50:48.947345 1277751 net.cpp:202] one does not need backward computation. -I1225 09:50:48.947350 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.947356 1277751 net.cpp:244] This network produces output three -I1225 09:50:48.947365 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.958822 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9v4egpr4 -I1225 09:50:48.958853 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.958858 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.958894 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.712957 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.712967 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.712975 197118 net.cpp:382] input -> data +I0128 18:51:27.712986 197118 net.cpp:124] Setting up input +I0128 18:51:27.712992 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.712998 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.713003 197118 layer_factory.hpp:77] Creating layer one +I0128 18:51:27.713033 197118 net.cpp:86] Creating Layer one +I0128 18:51:27.713040 197118 net.cpp:408] one <- data +I0128 18:51:27.713047 197118 net.cpp:382] one -> one +I0128 18:51:27.713089 197118 net.cpp:124] Setting up one +I0128 18:51:27.713096 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.713102 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.713106 197118 layer_factory.hpp:77] Creating layer two +I0128 18:51:27.713127 197118 net.cpp:86] Creating Layer two +I0128 18:51:27.713133 197118 net.cpp:408] two <- one +I0128 18:51:27.713140 197118 net.cpp:382] two -> two +I0128 18:51:27.713171 197118 net.cpp:124] Setting up two +I0128 18:51:27.713178 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.713184 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.713189 197118 layer_factory.hpp:77] Creating layer three +I0128 18:51:27.713210 197118 net.cpp:86] Creating Layer three +I0128 18:51:27.713217 197118 net.cpp:408] three <- two +I0128 18:51:27.713223 197118 net.cpp:382] three -> three +I0128 18:51:27.713253 197118 net.cpp:124] Setting up three +I0128 18:51:27.713259 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.713265 197118 net.cpp:139] Memory required for data: 11520 +I0128 18:51:27.713270 197118 net.cpp:202] three does not need backward computation. +I0128 18:51:27.713275 197118 net.cpp:202] two does not need backward computation. +I0128 18:51:27.713280 197118 net.cpp:202] one does not need backward computation. +I0128 18:51:27.713289 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.713297 197118 net.cpp:244] This network produces output three +I0128 18:51:27.713305 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.731950 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpdp_v69p0 +I0128 18:51:27.731977 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.731983 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.732017 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17916,43 +17950,43 @@ layer: "SimpleLayer" } } -I1225 09:50:48.959005 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.959020 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.959029 1277751 net.cpp:382] input -> data -I1225 09:50:48.959049 1277751 net.cpp:124] Setting up input -I1225 09:50:48.959056 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.959065 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.959071 1277751 layer_factory.hpp:77] Creating layer one -I1225 09:50:48.959120 1277751 net.cpp:86] Creating Layer one -I1225 09:50:48.959127 1277751 net.cpp:408] one <- data -I1225 09:50:48.959136 1277751 net.cpp:382] one -> one -I1225 09:50:48.959189 1277751 net.cpp:124] Setting up one -I1225 09:50:48.959197 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.959203 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.959208 1277751 layer_factory.hpp:77] Creating layer two -I1225 09:50:48.959229 1277751 net.cpp:86] Creating Layer two -I1225 09:50:48.959234 1277751 net.cpp:408] two <- one -I1225 09:50:48.959241 1277751 net.cpp:382] two -> two -I1225 09:50:48.959273 1277751 net.cpp:124] Setting up two -I1225 09:50:48.959280 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.959286 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.959291 1277751 layer_factory.hpp:77] Creating layer three -I1225 09:50:48.959313 1277751 net.cpp:86] Creating Layer three -I1225 09:50:48.959319 1277751 net.cpp:408] three <- two -I1225 09:50:48.959326 1277751 net.cpp:382] three -> three -I1225 09:50:48.959355 1277751 net.cpp:124] Setting up three -I1225 09:50:48.959363 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.959368 1277751 net.cpp:139] Memory required for data: 11520 -I1225 09:50:48.959374 1277751 net.cpp:202] three does not need backward computation. -I1225 09:50:48.959379 1277751 net.cpp:202] two does not need backward computation. -I1225 09:50:48.959385 1277751 net.cpp:202] one does not need backward computation. -I1225 09:50:48.959390 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.959396 1277751 net.cpp:244] This network produces output three -I1225 09:50:48.959405 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.959746 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmppix1crzr -I1225 09:50:48.959759 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.959764 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.959779 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.732117 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.732131 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.732138 197118 net.cpp:382] input -> data +I0128 18:51:27.732156 197118 net.cpp:124] Setting up input +I0128 18:51:27.732161 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.732168 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.732173 197118 layer_factory.hpp:77] Creating layer one +I0128 18:51:27.732219 197118 net.cpp:86] Creating Layer one +I0128 18:51:27.732226 197118 net.cpp:408] one <- data +I0128 18:51:27.732234 197118 net.cpp:382] one -> one +I0128 18:51:27.732277 197118 net.cpp:124] Setting up one +I0128 18:51:27.732282 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.732288 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.732293 197118 layer_factory.hpp:77] Creating layer two +I0128 18:51:27.732312 197118 net.cpp:86] Creating Layer two +I0128 18:51:27.732316 197118 net.cpp:408] two <- one +I0128 18:51:27.732322 197118 net.cpp:382] two -> two +I0128 18:51:27.732345 197118 net.cpp:124] Setting up two +I0128 18:51:27.732350 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.732355 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.732359 197118 layer_factory.hpp:77] Creating layer three +I0128 18:51:27.732380 197118 net.cpp:86] Creating Layer three +I0128 18:51:27.732385 197118 net.cpp:408] three <- two +I0128 18:51:27.732391 197118 net.cpp:382] three -> three +I0128 18:51:27.732415 197118 net.cpp:124] Setting up three +I0128 18:51:27.732419 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.732425 197118 net.cpp:139] Memory required for data: 11520 +I0128 18:51:27.732429 197118 net.cpp:202] three does not need backward computation. +I0128 18:51:27.732434 197118 net.cpp:202] two does not need backward computation. +I0128 18:51:27.732439 197118 net.cpp:202] one does not need backward computation. +I0128 18:51:27.732443 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.732447 197118 net.cpp:244] This network produces output three +I0128 18:51:27.732455 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.732720 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp2fajga8m +I0128 18:51:27.732731 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.732735 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.732748 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17981,27 +18015,27 @@ layer: "ParameterLayer" } } -I1225 09:50:48.959831 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.959841 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.959847 1277751 net.cpp:382] input -> data -I1225 09:50:48.959859 1277751 net.cpp:124] Setting up input -I1225 09:50:48.959864 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.959872 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.959877 1277751 layer_factory.hpp:77] Creating layer layer -I1225 09:50:48.959913 1277751 net.cpp:86] Creating Layer layer -I1225 09:50:48.959920 1277751 net.cpp:408] layer <- data -I1225 09:50:48.959928 1277751 net.cpp:382] layer -> top -I1225 09:50:48.960000 1277751 net.cpp:124] Setting up layer -I1225 09:50:48.960006 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.960012 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.960024 1277751 net.cpp:202] layer does not need backward computation. -I1225 09:50:48.960031 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.960034 1277751 net.cpp:244] This network produces output top -I1225 09:50:48.960041 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.965097 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmppix1crzr -I1225 09:50:48.965134 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.965140 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.965162 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.732793 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.732801 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.732807 197118 net.cpp:382] input -> data +I0128 18:51:27.732817 197118 net.cpp:124] Setting up input +I0128 18:51:27.732821 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.732827 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.732832 197118 layer_factory.hpp:77] Creating layer layer +I0128 18:51:27.732858 197118 net.cpp:86] Creating Layer layer +I0128 18:51:27.732863 197118 net.cpp:408] layer <- data +I0128 18:51:27.732870 197118 net.cpp:382] layer -> top +I0128 18:51:27.732940 197118 net.cpp:124] Setting up layer +I0128 18:51:27.732945 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.732951 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.732961 197118 net.cpp:202] layer does not need backward computation. +I0128 18:51:27.732966 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.732970 197118 net.cpp:244] This network produces output top +I0128 18:51:27.732976 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.733670 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp2fajga8m +I0128 18:51:27.733682 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.733687 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.733702 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18030,27 +18064,27 @@ layer: "ParameterLayer" } } -I1225 09:50:48.965246 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.965262 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.965271 1277751 net.cpp:382] input -> data -I1225 09:50:48.965296 1277751 net.cpp:124] Setting up input -I1225 09:50:48.965302 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.965310 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.965317 1277751 layer_factory.hpp:77] Creating layer layer -I1225 09:50:48.965365 1277751 net.cpp:86] Creating Layer layer -I1225 09:50:48.965374 1277751 net.cpp:408] layer <- data -I1225 09:50:48.965384 1277751 net.cpp:382] layer -> top -I1225 09:50:48.965453 1277751 net.cpp:124] Setting up layer -I1225 09:50:48.965461 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.965467 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.965481 1277751 net.cpp:202] layer does not need backward computation. -I1225 09:50:48.965487 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.965492 1277751 net.cpp:244] This network produces output top -I1225 09:50:48.965499 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.966207 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpr47erxkr -I1225 09:50:48.966220 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.966225 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.966246 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.733752 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.733762 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.733768 197118 net.cpp:382] input -> data +I0128 18:51:27.733781 197118 net.cpp:124] Setting up input +I0128 18:51:27.733788 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.733794 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.733799 197118 layer_factory.hpp:77] Creating layer layer +I0128 18:51:27.733825 197118 net.cpp:86] Creating Layer layer +I0128 18:51:27.733830 197118 net.cpp:408] layer <- data +I0128 18:51:27.733839 197118 net.cpp:382] layer -> top +I0128 18:51:27.733886 197118 net.cpp:124] Setting up layer +I0128 18:51:27.733891 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.733901 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.733911 197118 net.cpp:202] layer does not need backward computation. +I0128 18:51:27.733916 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.733920 197118 net.cpp:244] This network produces output top +I0128 18:51:27.733928 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.734488 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmps9q6a6vr +I0128 18:51:27.734513 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.734519 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.734539 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18099,40 +18133,40 @@ layer: "SimpleLayer" } } -I1225 09:50:48.966325 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.966336 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.966343 1277751 net.cpp:382] input -> data -I1225 09:50:48.966356 1277751 net.cpp:124] Setting up input -I1225 09:50:48.966361 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.966367 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.966372 1277751 layer_factory.hpp:77] Creating layer one -I1225 09:50:48.966403 1277751 net.cpp:86] Creating Layer one -I1225 09:50:48.966408 1277751 net.cpp:408] one <- data -I1225 09:50:48.966416 1277751 net.cpp:382] one -> one -I1225 09:50:48.966455 1277751 net.cpp:124] Setting up one -I1225 09:50:48.966462 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.966468 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.966473 1277751 layer_factory.hpp:77] Creating layer two -I1225 09:50:48.966495 1277751 net.cpp:86] Creating Layer two -I1225 09:50:48.966503 1277751 net.cpp:408] two <- one -I1225 09:50:48.966511 1277751 net.cpp:382] two -> two -I1225 09:50:48.966542 1277751 net.cpp:124] Setting up two -I1225 09:50:48.966549 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.966557 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.966560 1277751 layer_factory.hpp:77] Creating layer three -I1225 09:50:48.966581 1277751 net.cpp:86] Creating Layer three -I1225 09:50:48.966586 1277751 net.cpp:408] three <- two -I1225 09:50:48.966594 1277751 net.cpp:382] three -> three -I1225 09:50:48.966624 1277751 net.cpp:124] Setting up three -I1225 09:50:48.966630 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.966636 1277751 net.cpp:139] Memory required for data: 11520 -I1225 09:50:48.966641 1277751 net.cpp:202] three does not need backward computation. -I1225 09:50:48.966646 1277751 net.cpp:202] two does not need backward computation. -I1225 09:50:48.966651 1277751 net.cpp:202] one does not need backward computation. -I1225 09:50:48.966655 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.966660 1277751 net.cpp:244] This network produces output three -I1225 09:50:48.966668 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.966984 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.734616 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.734625 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.734632 197118 net.cpp:382] input -> data +I0128 18:51:27.734643 197118 net.cpp:124] Setting up input +I0128 18:51:27.734649 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.734655 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.734660 197118 layer_factory.hpp:77] Creating layer one +I0128 18:51:27.734687 197118 net.cpp:86] Creating Layer one +I0128 18:51:27.734694 197118 net.cpp:408] one <- data +I0128 18:51:27.734700 197118 net.cpp:382] one -> one +I0128 18:51:27.734732 197118 net.cpp:124] Setting up one +I0128 18:51:27.734737 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.734743 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.734747 197118 layer_factory.hpp:77] Creating layer two +I0128 18:51:27.734766 197118 net.cpp:86] Creating Layer two +I0128 18:51:27.734771 197118 net.cpp:408] two <- one +I0128 18:51:27.734776 197118 net.cpp:382] two -> two +I0128 18:51:27.734800 197118 net.cpp:124] Setting up two +I0128 18:51:27.734805 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.734812 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.734815 197118 layer_factory.hpp:77] Creating layer three +I0128 18:51:27.734833 197118 net.cpp:86] Creating Layer three +I0128 18:51:27.734838 197118 net.cpp:408] three <- two +I0128 18:51:27.734844 197118 net.cpp:382] three -> three +I0128 18:51:27.734869 197118 net.cpp:124] Setting up three +I0128 18:51:27.734876 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.734887 197118 net.cpp:139] Memory required for data: 11520 +I0128 18:51:27.734892 197118 net.cpp:202] three does not need backward computation. +I0128 18:51:27.734896 197118 net.cpp:202] two does not need backward computation. +I0128 18:51:27.734901 197118 net.cpp:202] one does not need backward computation. +I0128 18:51:27.734906 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.734911 197118 net.cpp:244] This network produces output three +I0128 18:51:27.734918 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.735208 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18148,16 +18182,16 @@ layer: "PhaseLayer" } } -I1225 09:50:48.967026 1277751 layer_factory.hpp:77] Creating layer layer -I1225 09:50:48.967061 1277751 net.cpp:86] Creating Layer layer -I1225 09:50:48.967069 1277751 net.cpp:382] layer -> phase -I1225 09:50:48.967114 1277751 net.cpp:124] Setting up layer -I1225 09:50:48.967123 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.967129 1277751 net.cpp:139] Memory required for data: 4 -I1225 09:50:48.967135 1277751 net.cpp:202] layer does not need backward computation. -I1225 09:50:48.967140 1277751 net.cpp:244] This network produces output phase -I1225 09:50:48.967147 1277751 net.cpp:257] Network initialization done. -I1225 09:50:48.967427 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.735242 197118 layer_factory.hpp:77] Creating layer layer +I0128 18:51:27.735272 197118 net.cpp:86] Creating Layer layer +I0128 18:51:27.735280 197118 net.cpp:382] layer -> phase +I0128 18:51:27.735312 197118 net.cpp:124] Setting up layer +I0128 18:51:27.735318 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.735325 197118 net.cpp:139] Memory required for data: 4 +I0128 18:51:27.735330 197118 net.cpp:202] layer does not need backward computation. +I0128 18:51:27.735335 197118 net.cpp:244] This network produces output phase +I0128 18:51:27.735343 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.735543 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18173,19 +18207,19 @@ layer: "PhaseLayer" } } -I1225 09:50:48.967468 1277751 layer_factory.hpp:77] Creating layer layer -I1225 09:50:48.967499 1277751 net.cpp:86] Creating Layer layer -I1225 09:50:48.967509 1277751 net.cpp:382] layer -> phase -I1225 09:50:48.967535 1277751 net.cpp:124] Setting up layer -I1225 09:50:48.967541 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:48.967550 1277751 net.cpp:139] Memory required for data: 4 -I1225 09:50:48.967555 1277751 net.cpp:202] layer does not need backward computation. -I1225 09:50:48.967561 1277751 net.cpp:244] This network produces output phase -I1225 09:50:48.967567 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.968173 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpuf2sxmwo -I1225 09:50:48.968191 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.968196 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.968220 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.735576 197118 layer_factory.hpp:77] Creating layer layer +I0128 18:51:27.735615 197118 net.cpp:86] Creating Layer layer +I0128 18:51:27.735622 197118 net.cpp:382] layer -> phase +I0128 18:51:27.735643 197118 net.cpp:124] Setting up layer +I0128 18:51:27.735648 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.735653 197118 net.cpp:139] Memory required for data: 4 +I0128 18:51:27.735657 197118 net.cpp:202] layer does not need backward computation. +I0128 18:51:27.735661 197118 net.cpp:244] This network produces output phase +I0128 18:51:27.735666 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.736079 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp7ee20mmb +I0128 18:51:27.736090 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.736094 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.736109 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18234,43 +18268,43 @@ layer: "SimpleLayer" } } -I1225 09:50:48.968312 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.968324 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.968333 1277751 net.cpp:382] input -> data -I1225 09:50:48.968349 1277751 net.cpp:124] Setting up input -I1225 09:50:48.968355 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.968361 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.968367 1277751 layer_factory.hpp:77] Creating layer one -I1225 09:50:48.968398 1277751 net.cpp:86] Creating Layer one -I1225 09:50:48.968406 1277751 net.cpp:408] one <- data -I1225 09:50:48.968415 1277751 net.cpp:382] one -> one -I1225 09:50:48.972671 1277751 net.cpp:124] Setting up one -I1225 09:50:48.972716 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.972729 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.972738 1277751 layer_factory.hpp:77] Creating layer two -I1225 09:50:48.972807 1277751 net.cpp:86] Creating Layer two -I1225 09:50:48.972826 1277751 net.cpp:408] two <- one -I1225 09:50:48.972838 1277751 net.cpp:382] two -> two -I1225 09:50:48.972884 1277751 net.cpp:124] Setting up two -I1225 09:50:48.972891 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.972898 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.972903 1277751 layer_factory.hpp:77] Creating layer three -I1225 09:50:48.972929 1277751 net.cpp:86] Creating Layer three -I1225 09:50:48.972936 1277751 net.cpp:408] three <- two -I1225 09:50:48.972944 1277751 net.cpp:382] three -> three -I1225 09:50:48.972980 1277751 net.cpp:124] Setting up three -I1225 09:50:48.972987 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.972995 1277751 net.cpp:139] Memory required for data: 11520 -I1225 09:50:48.972999 1277751 net.cpp:202] three does not need backward computation. -I1225 09:50:48.973006 1277751 net.cpp:202] two does not need backward computation. -I1225 09:50:48.973013 1277751 net.cpp:202] one does not need backward computation. -I1225 09:50:48.973021 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.973027 1277751 net.cpp:244] This network produces output three -I1225 09:50:48.973038 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.974298 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpv2vup46h -I1225 09:50:48.974318 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.974326 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.974354 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.736168 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.736176 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.736181 197118 net.cpp:382] input -> data +I0128 18:51:27.736191 197118 net.cpp:124] Setting up input +I0128 18:51:27.736196 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.736202 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.736205 197118 layer_factory.hpp:77] Creating layer one +I0128 18:51:27.736227 197118 net.cpp:86] Creating Layer one +I0128 18:51:27.736232 197118 net.cpp:408] one <- data +I0128 18:51:27.736238 197118 net.cpp:382] one -> one +I0128 18:51:27.736270 197118 net.cpp:124] Setting up one +I0128 18:51:27.736276 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.736282 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.736286 197118 layer_factory.hpp:77] Creating layer two +I0128 18:51:27.736304 197118 net.cpp:86] Creating Layer two +I0128 18:51:27.736310 197118 net.cpp:408] two <- one +I0128 18:51:27.736315 197118 net.cpp:382] two -> two +I0128 18:51:27.736340 197118 net.cpp:124] Setting up two +I0128 18:51:27.736344 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.736351 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.736354 197118 layer_factory.hpp:77] Creating layer three +I0128 18:51:27.736371 197118 net.cpp:86] Creating Layer three +I0128 18:51:27.736375 197118 net.cpp:408] three <- two +I0128 18:51:27.736382 197118 net.cpp:382] three -> three +I0128 18:51:27.736404 197118 net.cpp:124] Setting up three +I0128 18:51:27.736409 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.736414 197118 net.cpp:139] Memory required for data: 11520 +I0128 18:51:27.736419 197118 net.cpp:202] three does not need backward computation. +I0128 18:51:27.736423 197118 net.cpp:202] two does not need backward computation. +I0128 18:51:27.736428 197118 net.cpp:202] one does not need backward computation. +I0128 18:51:27.736438 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.736443 197118 net.cpp:244] This network produces output three +I0128 18:51:27.736449 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.737133 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpbrmqy_d0 +I0128 18:51:27.737143 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.737146 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.737161 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18311,35 +18345,35 @@ param_str: "2" } } -I1225 09:50:48.974462 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.974475 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.974483 1277751 net.cpp:382] input -> data -I1225 09:50:48.974499 1277751 net.cpp:124] Setting up input -I1225 09:50:48.974505 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.974514 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.974519 1277751 layer_factory.hpp:77] Creating layer mul10 -I1225 09:50:48.974565 1277751 net.cpp:86] Creating Layer mul10 -I1225 09:50:48.974572 1277751 net.cpp:408] mul10 <- data -I1225 09:50:48.974581 1277751 net.cpp:382] mul10 -> mul10 -I1225 09:50:48.974637 1277751 net.cpp:124] Setting up mul10 -I1225 09:50:48.974644 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.974651 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.974658 1277751 layer_factory.hpp:77] Creating layer mul2 -I1225 09:50:48.974684 1277751 net.cpp:86] Creating Layer mul2 -I1225 09:50:48.974691 1277751 net.cpp:408] mul2 <- mul10 -I1225 09:50:48.974699 1277751 net.cpp:382] mul2 -> mul2 -I1225 09:50:48.974735 1277751 net.cpp:124] Setting up mul2 -I1225 09:50:48.974742 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.974750 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.974756 1277751 net.cpp:202] mul2 does not need backward computation. -I1225 09:50:48.974761 1277751 net.cpp:202] mul10 does not need backward computation. -I1225 09:50:48.974771 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.974776 1277751 net.cpp:244] This network produces output mul2 -I1225 09:50:48.974784 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:48.985590 1277751 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsiqn691v -I1225 09:50:48.985620 1277751 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W1225 09:50:48.985626 1277751 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I1225 09:50:48.985663 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.737217 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.737226 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.737231 197118 net.cpp:382] input -> data +I0128 18:51:27.737242 197118 net.cpp:124] Setting up input +I0128 18:51:27.737246 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.737252 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.737257 197118 layer_factory.hpp:77] Creating layer mul10 +I0128 18:51:27.737285 197118 net.cpp:86] Creating Layer mul10 +I0128 18:51:27.737290 197118 net.cpp:408] mul10 <- data +I0128 18:51:27.737298 197118 net.cpp:382] mul10 -> mul10 +I0128 18:51:27.737339 197118 net.cpp:124] Setting up mul10 +I0128 18:51:27.737345 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.737350 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.737354 197118 layer_factory.hpp:77] Creating layer mul2 +I0128 18:51:27.737372 197118 net.cpp:86] Creating Layer mul2 +I0128 18:51:27.737376 197118 net.cpp:408] mul2 <- mul10 +I0128 18:51:27.737382 197118 net.cpp:382] mul2 -> mul2 +I0128 18:51:27.737406 197118 net.cpp:124] Setting up mul2 +I0128 18:51:27.737409 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.737414 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.737418 197118 net.cpp:202] mul2 does not need backward computation. +I0128 18:51:27.737422 197118 net.cpp:202] mul10 does not need backward computation. +I0128 18:51:27.737426 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.737430 197118 net.cpp:244] This network produces output mul2 +I0128 18:51:27.737437 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.755914 197118 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp1_u2wmvj +I0128 18:51:27.755950 197118 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0128 18:51:27.755956 197118 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0128 18:51:27.755987 197118 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18380,32 +18414,32 @@ param_str: "2" } } -I1225 09:50:48.985769 1277751 layer_factory.hpp:77] Creating layer input -I1225 09:50:48.985783 1277751 net.cpp:86] Creating Layer input -I1225 09:50:48.985795 1277751 net.cpp:382] input -> data -I1225 09:50:48.985814 1277751 net.cpp:124] Setting up input -I1225 09:50:48.985821 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.985831 1277751 net.cpp:139] Memory required for data: 2880 -I1225 09:50:48.985837 1277751 layer_factory.hpp:77] Creating layer mul10 -I1225 09:50:48.985888 1277751 net.cpp:86] Creating Layer mul10 -I1225 09:50:48.985899 1277751 net.cpp:408] mul10 <- data -I1225 09:50:48.985908 1277751 net.cpp:382] mul10 -> mul10 -I1225 09:50:48.985971 1277751 net.cpp:124] Setting up mul10 -I1225 09:50:48.985980 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.985986 1277751 net.cpp:139] Memory required for data: 5760 -I1225 09:50:48.985992 1277751 layer_factory.hpp:77] Creating layer mul2 -I1225 09:50:48.986016 1277751 net.cpp:86] Creating Layer mul2 -I1225 09:50:48.986023 1277751 net.cpp:408] mul2 <- mul10 -I1225 09:50:48.986032 1277751 net.cpp:382] mul2 -> mul2 -I1225 09:50:48.986064 1277751 net.cpp:124] Setting up mul2 -I1225 09:50:48.986070 1277751 net.cpp:131] Top shape: 10 9 8 (720) -I1225 09:50:48.986078 1277751 net.cpp:139] Memory required for data: 8640 -I1225 09:50:48.986083 1277751 net.cpp:202] mul2 does not need backward computation. -I1225 09:50:48.986088 1277751 net.cpp:202] mul10 does not need backward computation. -I1225 09:50:48.986093 1277751 net.cpp:202] input does not need backward computation. -I1225 09:50:48.986099 1277751 net.cpp:244] This network produces output mul2 -I1225 09:50:48.986107 1277751 net.cpp:257] Network initialization done. -.I1225 09:50:49.001173 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.756083 197118 layer_factory.hpp:77] Creating layer input +I0128 18:51:27.756098 197118 net.cpp:86] Creating Layer input +I0128 18:51:27.756105 197118 net.cpp:382] input -> data +I0128 18:51:27.756122 197118 net.cpp:124] Setting up input +I0128 18:51:27.756127 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.756137 197118 net.cpp:139] Memory required for data: 2880 +I0128 18:51:27.756142 197118 layer_factory.hpp:77] Creating layer mul10 +I0128 18:51:27.756189 197118 net.cpp:86] Creating Layer mul10 +I0128 18:51:27.756196 197118 net.cpp:408] mul10 <- data +I0128 18:51:27.756202 197118 net.cpp:382] mul10 -> mul10 +I0128 18:51:27.756255 197118 net.cpp:124] Setting up mul10 +I0128 18:51:27.756261 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.756266 197118 net.cpp:139] Memory required for data: 5760 +I0128 18:51:27.756271 197118 layer_factory.hpp:77] Creating layer mul2 +I0128 18:51:27.756290 197118 net.cpp:86] Creating Layer mul2 +I0128 18:51:27.756295 197118 net.cpp:408] mul2 <- mul10 +I0128 18:51:27.756301 197118 net.cpp:382] mul2 -> mul2 +I0128 18:51:27.756330 197118 net.cpp:124] Setting up mul2 +I0128 18:51:27.756333 197118 net.cpp:131] Top shape: 10 9 8 (720) +I0128 18:51:27.756340 197118 net.cpp:139] Memory required for data: 8640 +I0128 18:51:27.756343 197118 net.cpp:202] mul2 does not need backward computation. +I0128 18:51:27.756348 197118 net.cpp:202] mul10 does not need backward computation. +I0128 18:51:27.756353 197118 net.cpp:202] input does not need backward computation. +I0128 18:51:27.756357 197118 net.cpp:244] This network produces output mul2 +I0128 18:51:27.756366 197118 net.cpp:257] Network initialization done. +.I0128 18:51:27.763536 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18417,10 +18451,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpxj54s42q" +net: "/tmp/tmpt4lw6dn4" snapshot_after_train: false -I1225 09:50:49.001281 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpxj54s42q -I1225 09:50:49.001485 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.763633 197118 solver.cpp:102] Creating training net from net file: /tmp/tmpt4lw6dn4 +I0128 18:51:27.763825 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18498,46 +18532,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.001637 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.001657 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.001667 1277751 net.cpp:382] data -> data -I1225 09:50:49.001684 1277751 net.cpp:382] data -> label -I1225 09:50:49.001708 1277751 net.cpp:124] Setting up data -I1225 09:50:49.001714 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.001724 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.001731 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.001740 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.001754 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.001760 1277751 net.cpp:408] conv <- data -I1225 09:50:49.001775 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.001821 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.001828 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.001835 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.001849 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.001860 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.001866 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.001875 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.002115 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.002125 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.002131 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.002141 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.002151 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.002157 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.002166 1277751 net.cpp:408] loss <- label -I1225 09:50:49.002173 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.002187 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.002205 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.002211 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.002218 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.002230 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.002236 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.002243 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.002249 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.002254 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.002260 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.002270 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.002431 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxj54s42q -I1225 09:50:49.002463 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.763960 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.763975 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.763985 197118 net.cpp:382] data -> data +I0128 18:51:27.764000 197118 net.cpp:382] data -> label +I0128 18:51:27.764019 197118 net.cpp:124] Setting up data +I0128 18:51:27.764025 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.764034 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.764040 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.764045 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.764060 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.764066 197118 net.cpp:408] conv <- data +I0128 18:51:27.764076 197118 net.cpp:382] conv -> conv +I0128 18:51:27.764117 197118 net.cpp:124] Setting up conv +I0128 18:51:27.764122 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.764129 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.764142 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.764150 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.764155 197118 net.cpp:408] ip <- conv +I0128 18:51:27.764164 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.764361 197118 net.cpp:124] Setting up ip +I0128 18:51:27.764366 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.764372 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.764380 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.764389 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.764398 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.764403 197118 net.cpp:408] loss <- label +I0128 18:51:27.764411 197118 net.cpp:382] loss -> loss +I0128 18:51:27.764421 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.764439 197118 net.cpp:124] Setting up loss +I0128 18:51:27.764444 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.764451 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.764461 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.764467 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.764472 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.764477 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.764482 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.764487 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.764498 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.764632 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpt4lw6dn4 +I0128 18:51:27.764655 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18615,46 +18649,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.002586 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.002599 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.002607 1277751 net.cpp:382] data -> data -I1225 09:50:49.002619 1277751 net.cpp:382] data -> label -I1225 09:50:49.002632 1277751 net.cpp:124] Setting up data -I1225 09:50:49.002638 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.002646 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.002653 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.002658 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.002671 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.002676 1277751 net.cpp:408] conv <- data -I1225 09:50:49.002684 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.002712 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.002719 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.002725 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.002734 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.002743 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.002749 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.002758 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.002938 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.002945 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.002952 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.002964 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.002971 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.002977 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.002983 1277751 net.cpp:408] loss <- label -I1225 09:50:49.002993 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.003005 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.003022 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.003028 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.003034 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.003043 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.003049 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.003055 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.003062 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.003067 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.003072 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.003082 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.003104 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.003237 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.764760 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.764771 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.764778 197118 net.cpp:382] data -> data +I0128 18:51:27.764788 197118 net.cpp:382] data -> label +I0128 18:51:27.764799 197118 net.cpp:124] Setting up data +I0128 18:51:27.764804 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.764811 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.764817 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.764822 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.764834 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.764840 197118 net.cpp:408] conv <- data +I0128 18:51:27.764848 197118 net.cpp:382] conv -> conv +I0128 18:51:27.764883 197118 net.cpp:124] Setting up conv +I0128 18:51:27.764889 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.764894 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.764901 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.764909 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.764912 197118 net.cpp:408] ip <- conv +I0128 18:51:27.764919 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.765081 197118 net.cpp:124] Setting up ip +I0128 18:51:27.765087 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.765094 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.765105 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.765110 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.765115 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.765118 197118 net.cpp:408] loss <- label +I0128 18:51:27.765125 197118 net.cpp:382] loss -> loss +I0128 18:51:27.765132 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.765144 197118 net.cpp:124] Setting up loss +I0128 18:51:27.765148 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.765153 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.765159 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.765163 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.765168 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.765174 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.765179 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.765183 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.765190 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.765205 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.765285 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18666,10 +18700,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpxj54s42q" +net: "/tmp/tmpt4lw6dn4" snapshot_after_train: false -I1225 09:50:49.003286 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpxj54s42q -I1225 09:50:49.003424 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.765316 197118 solver.cpp:102] Creating training net from net file: /tmp/tmpt4lw6dn4 +I0128 18:51:27.765429 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18747,46 +18781,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.003530 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.003543 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.003553 1277751 net.cpp:382] data -> data -I1225 09:50:49.003563 1277751 net.cpp:382] data -> label -I1225 09:50:49.003576 1277751 net.cpp:124] Setting up data -I1225 09:50:49.003582 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.003589 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.003595 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.003599 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.003610 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.003615 1277751 net.cpp:408] conv <- data -I1225 09:50:49.003623 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.003652 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.003659 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.003664 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.003674 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.003684 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.003690 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.003696 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.003854 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.003860 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.003866 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.003875 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.003886 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.003891 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.003896 1277751 net.cpp:408] loss <- label -I1225 09:50:49.003903 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.003916 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.003931 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.003937 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.003942 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.003952 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.003955 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.003962 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.003966 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.003973 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.003976 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.003984 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.004123 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpxj54s42q -I1225 09:50:49.004146 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.765517 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.765529 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.765537 197118 net.cpp:382] data -> data +I0128 18:51:27.765545 197118 net.cpp:382] data -> label +I0128 18:51:27.765556 197118 net.cpp:124] Setting up data +I0128 18:51:27.765561 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.765568 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.765573 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.765576 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.765585 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.765590 197118 net.cpp:408] conv <- data +I0128 18:51:27.765596 197118 net.cpp:382] conv -> conv +I0128 18:51:27.765619 197118 net.cpp:124] Setting up conv +I0128 18:51:27.765623 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.765628 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.765637 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.765645 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.765650 197118 net.cpp:408] ip <- conv +I0128 18:51:27.765657 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.765821 197118 net.cpp:124] Setting up ip +I0128 18:51:27.765826 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.765831 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.765838 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.765847 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.765851 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.765856 197118 net.cpp:408] loss <- label +I0128 18:51:27.765862 197118 net.cpp:382] loss -> loss +I0128 18:51:27.765870 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.765885 197118 net.cpp:124] Setting up loss +I0128 18:51:27.765889 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.765894 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.765900 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.765904 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.765909 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.765913 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.765920 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.765925 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.765933 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.766047 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpt4lw6dn4 +I0128 18:51:27.766067 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18864,47 +18898,47 @@ bottom: "label" top: "loss" } -I1225 09:50:49.004252 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.004262 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.004269 1277751 net.cpp:382] data -> data -I1225 09:50:49.004282 1277751 net.cpp:382] data -> label -I1225 09:50:49.004293 1277751 net.cpp:124] Setting up data -I1225 09:50:49.004299 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.004305 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.004312 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.004316 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.004328 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.004333 1277751 net.cpp:408] conv <- data -I1225 09:50:49.004341 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.004366 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.004371 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.004379 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.004387 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.004400 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.004405 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.004412 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.008736 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.008780 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.008792 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.008810 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.008831 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.008841 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.008849 1277751 net.cpp:408] loss <- label -I1225 09:50:49.008858 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.008877 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.008895 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.008899 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.008904 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.008924 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.008926 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.008937 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.008941 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.008947 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.008951 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.008960 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.009001 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.009815 1277751 sgd_solver.cpp:112] Iteration 0, lr = 0.01 -.I1225 09:50:49.010777 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.766160 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.766171 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.766177 197118 net.cpp:382] data -> data +I0128 18:51:27.766184 197118 net.cpp:382] data -> label +I0128 18:51:27.766194 197118 net.cpp:124] Setting up data +I0128 18:51:27.766198 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.766204 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.766209 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.766212 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.766222 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.766225 197118 net.cpp:408] conv <- data +I0128 18:51:27.766232 197118 net.cpp:382] conv -> conv +I0128 18:51:27.766252 197118 net.cpp:124] Setting up conv +I0128 18:51:27.766256 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.766261 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.766269 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.766276 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.766280 197118 net.cpp:408] ip <- conv +I0128 18:51:27.766286 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.766921 197118 net.cpp:124] Setting up ip +I0128 18:51:27.766935 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.766942 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.766953 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.766964 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.766969 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.766975 197118 net.cpp:408] loss <- label +I0128 18:51:27.766981 197118 net.cpp:382] loss -> loss +I0128 18:51:27.766991 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.767005 197118 net.cpp:124] Setting up loss +I0128 18:51:27.767009 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.767014 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.767024 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.767028 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.767032 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.767036 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.767041 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.767045 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.767051 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.767071 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.767773 197118 sgd_solver.cpp:112] Iteration 0, lr = 0.01 +.I0128 18:51:27.768764 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18916,10 +18950,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpdg6zf4ku" +net: "/tmp/tmp23n_cagh" snapshot_after_train: false -I1225 09:50:49.010849 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpdg6zf4ku -I1225 09:50:49.011026 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.768831 197118 solver.cpp:102] Creating training net from net file: /tmp/tmp23n_cagh +I0128 18:51:27.769053 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18997,46 +19031,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.011152 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.011169 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.011178 1277751 net.cpp:382] data -> data -I1225 09:50:49.011193 1277751 net.cpp:382] data -> label -I1225 09:50:49.011211 1277751 net.cpp:124] Setting up data -I1225 09:50:49.011217 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.011224 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.011231 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.011236 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.011248 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.011253 1277751 net.cpp:408] conv <- data -I1225 09:50:49.011265 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.011301 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.011305 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.011312 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.011322 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.011332 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.011337 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.011349 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.011507 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.011514 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.011520 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.011528 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.011538 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.011543 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.011550 1277751 net.cpp:408] loss <- label -I1225 09:50:49.011559 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.011570 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.011587 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.011595 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.011600 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.011610 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.011615 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.011620 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.011626 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.011631 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.011637 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.011646 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.011802 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpdg6zf4ku -I1225 09:50:49.011826 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.769189 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.769207 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.769217 197118 net.cpp:382] data -> data +I0128 18:51:27.769232 197118 net.cpp:382] data -> label +I0128 18:51:27.769253 197118 net.cpp:124] Setting up data +I0128 18:51:27.769261 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.769270 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.769277 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.769284 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.769297 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.769304 197118 net.cpp:408] conv <- data +I0128 18:51:27.769315 197118 net.cpp:382] conv -> conv +I0128 18:51:27.769358 197118 net.cpp:124] Setting up conv +I0128 18:51:27.769366 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.769372 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.769384 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.769397 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.769403 197118 net.cpp:408] ip <- conv +I0128 18:51:27.769419 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.769606 197118 net.cpp:124] Setting up ip +I0128 18:51:27.769616 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.769623 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.769634 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.769644 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.769650 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.769657 197118 net.cpp:408] loss <- label +I0128 18:51:27.769666 197118 net.cpp:382] loss -> loss +I0128 18:51:27.769681 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.769701 197118 net.cpp:124] Setting up loss +I0128 18:51:27.769706 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.769712 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.769723 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.769729 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.769737 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.769742 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.769748 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.769754 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.769763 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.769925 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp23n_cagh +I0128 18:51:27.769951 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19114,46 +19148,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.011947 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.011960 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.012049 1277751 net.cpp:382] data -> data -I1225 09:50:49.012063 1277751 net.cpp:382] data -> label -I1225 09:50:49.012076 1277751 net.cpp:124] Setting up data -I1225 09:50:49.012082 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.012089 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.012096 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.012101 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.012115 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.012120 1277751 net.cpp:408] conv <- data -I1225 09:50:49.012130 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.012161 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.012168 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.012176 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.012188 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.012197 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.012202 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.012212 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.012395 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.012404 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.012411 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.012421 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.012470 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.012475 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.012482 1277751 net.cpp:408] loss <- label -I1225 09:50:49.012490 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.012502 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.012521 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.012526 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.012532 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.012542 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.012547 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.012553 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.012558 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.012564 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.012570 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.012581 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.012615 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.020829 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.770076 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.770089 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.770099 197118 net.cpp:382] data -> data +I0128 18:51:27.770112 197118 net.cpp:382] data -> label +I0128 18:51:27.770126 197118 net.cpp:124] Setting up data +I0128 18:51:27.770133 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.770140 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.770146 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.770151 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.770165 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.770171 197118 net.cpp:408] conv <- data +I0128 18:51:27.770181 197118 net.cpp:382] conv -> conv +I0128 18:51:27.770210 197118 net.cpp:124] Setting up conv +I0128 18:51:27.770216 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.770223 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.770233 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.770243 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.770248 197118 net.cpp:408] ip <- conv +I0128 18:51:27.770256 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.770892 197118 net.cpp:124] Setting up ip +I0128 18:51:27.770906 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.770912 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.770922 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.770931 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.770936 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.770941 197118 net.cpp:408] loss <- label +I0128 18:51:27.770948 197118 net.cpp:382] loss -> loss +I0128 18:51:27.770957 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.770972 197118 net.cpp:124] Setting up loss +I0128 18:51:27.770977 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.770982 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.770990 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.770994 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.770999 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.771003 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.771008 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.771013 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.771020 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.771039 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.771148 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19165,10 +19199,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpdg6zf4ku" +net: "/tmp/tmp23n_cagh" snapshot_after_train: false -I1225 09:50:49.020946 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpdg6zf4ku -I1225 09:50:49.021128 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.771186 197118 solver.cpp:102] Creating training net from net file: /tmp/tmp23n_cagh +I0128 18:51:27.771306 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19246,46 +19280,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.021241 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.021257 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.021266 1277751 net.cpp:382] data -> data -I1225 09:50:49.021282 1277751 net.cpp:382] data -> label -I1225 09:50:49.021298 1277751 net.cpp:124] Setting up data -I1225 09:50:49.021303 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.021312 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.021318 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.021322 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.021334 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.021340 1277751 net.cpp:408] conv <- data -I1225 09:50:49.021349 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.021382 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.021387 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.021392 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.021404 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.021412 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.021416 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.021426 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.021590 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.021595 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.021600 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.021606 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.021616 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.021622 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.021627 1277751 net.cpp:408] loss <- label -I1225 09:50:49.021633 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.021642 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.021659 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.021663 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.021668 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.021677 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.021682 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.021687 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.021692 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.021697 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.021701 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.021713 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.021826 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpdg6zf4ku -I1225 09:50:49.021845 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.771399 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.771409 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.771416 197118 net.cpp:382] data -> data +I0128 18:51:27.771427 197118 net.cpp:382] data -> label +I0128 18:51:27.771438 197118 net.cpp:124] Setting up data +I0128 18:51:27.771443 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.771450 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.771454 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.771458 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.771469 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.771474 197118 net.cpp:408] conv <- data +I0128 18:51:27.771481 197118 net.cpp:382] conv -> conv +I0128 18:51:27.771504 197118 net.cpp:124] Setting up conv +I0128 18:51:27.771509 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.771514 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.771524 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.771533 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.771536 197118 net.cpp:408] ip <- conv +I0128 18:51:27.771543 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.771699 197118 net.cpp:124] Setting up ip +I0128 18:51:27.771706 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.771711 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.771718 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.771725 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.771728 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.771733 197118 net.cpp:408] loss <- label +I0128 18:51:27.771739 197118 net.cpp:382] loss -> loss +I0128 18:51:27.771745 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.771760 197118 net.cpp:124] Setting up loss +I0128 18:51:27.771767 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.771777 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.771786 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.771795 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.771800 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.771803 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.771808 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.771812 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.771818 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.771935 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp23n_cagh +I0128 18:51:27.771955 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19363,46 +19397,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.021939 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.021947 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.021955 1277751 net.cpp:382] data -> data -I1225 09:50:49.021965 1277751 net.cpp:382] data -> label -I1225 09:50:49.022059 1277751 net.cpp:124] Setting up data -I1225 09:50:49.022064 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.022070 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.022075 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.022079 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.022090 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.022094 1277751 net.cpp:408] conv <- data -I1225 09:50:49.022101 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.022122 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.022127 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.022132 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.022140 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.022148 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.022152 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.022161 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.022320 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.022325 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.022329 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.022336 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.022342 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.022346 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.022351 1277751 net.cpp:408] loss <- label -I1225 09:50:49.022356 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.022363 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.022375 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.022379 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.022383 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.022390 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.022394 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.022398 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.022403 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.022406 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.022410 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.022418 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.022433 1277751 solver.cpp:57] Solver scaffolding done. -.I1225 09:50:49.025104 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.772047 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.772056 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.772063 197118 net.cpp:382] data -> data +I0128 18:51:27.772071 197118 net.cpp:382] data -> label +I0128 18:51:27.772080 197118 net.cpp:124] Setting up data +I0128 18:51:27.772085 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.772091 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.772096 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.772100 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.772109 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.772114 197118 net.cpp:408] conv <- data +I0128 18:51:27.772120 197118 net.cpp:382] conv -> conv +I0128 18:51:27.772145 197118 net.cpp:124] Setting up conv +I0128 18:51:27.772148 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.772154 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.772162 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.772169 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.772173 197118 net.cpp:408] ip <- conv +I0128 18:51:27.772181 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.772344 197118 net.cpp:124] Setting up ip +I0128 18:51:27.772348 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.772353 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.772361 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.772367 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.772372 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.772382 197118 net.cpp:408] loss <- label +I0128 18:51:27.772387 197118 net.cpp:382] loss -> loss +I0128 18:51:27.772394 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.772408 197118 net.cpp:124] Setting up loss +I0128 18:51:27.772411 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.772416 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.772423 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.772426 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.772431 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.772435 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.772440 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.772444 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.772451 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.772465 197118 solver.cpp:57] Solver scaffolding done. +.I0128 18:51:27.775424 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19414,10 +19448,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmp9aly7jq8" +net: "/tmp/tmp1f80n9iu" snapshot_after_train: false -I1225 09:50:49.025194 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmp9aly7jq8 -I1225 09:50:49.025364 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.775518 197118 solver.cpp:102] Creating training net from net file: /tmp/tmp1f80n9iu +I0128 18:51:27.775710 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19495,46 +19529,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.025487 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.025501 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.025511 1277751 net.cpp:382] data -> data -I1225 09:50:49.025527 1277751 net.cpp:382] data -> label -I1225 09:50:49.025544 1277751 net.cpp:124] Setting up data -I1225 09:50:49.025550 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.025559 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.025565 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.025580 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.025590 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.025595 1277751 net.cpp:408] conv <- data -I1225 09:50:49.025604 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.025635 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.025640 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.025645 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.025655 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.025663 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.025668 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.025676 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.025835 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.025840 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.025844 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.025851 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.025858 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.025863 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.025868 1277751 net.cpp:408] loss <- label -I1225 09:50:49.025875 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.025884 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.025902 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.025905 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.025910 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.025920 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.025924 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.025929 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.025934 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.025939 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.025943 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.025950 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.026064 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp9aly7jq8 -I1225 09:50:49.026085 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.775854 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.775872 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.775883 197118 net.cpp:382] data -> data +I0128 18:51:27.775900 197118 net.cpp:382] data -> label +I0128 18:51:27.775921 197118 net.cpp:124] Setting up data +I0128 18:51:27.775928 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.775938 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.775943 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.775949 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.775962 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.775969 197118 net.cpp:408] conv <- data +I0128 18:51:27.775979 197118 net.cpp:382] conv -> conv +I0128 18:51:27.776015 197118 net.cpp:124] Setting up conv +I0128 18:51:27.776023 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.776028 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.776039 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.776049 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.776054 197118 net.cpp:408] ip <- conv +I0128 18:51:27.776062 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.776242 197118 net.cpp:124] Setting up ip +I0128 18:51:27.776247 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.776253 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.776262 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.776270 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.776276 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.776283 197118 net.cpp:408] loss <- label +I0128 18:51:27.776289 197118 net.cpp:382] loss -> loss +I0128 18:51:27.776301 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.776319 197118 net.cpp:124] Setting up loss +I0128 18:51:27.776325 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.776330 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.776342 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.776348 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.776355 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.776360 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.776365 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.776371 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.776378 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.776520 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1f80n9iu +I0128 18:51:27.776546 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19612,46 +19646,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.026173 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.026182 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.026190 1277751 net.cpp:382] data -> data -I1225 09:50:49.026198 1277751 net.cpp:382] data -> label -I1225 09:50:49.026207 1277751 net.cpp:124] Setting up data -I1225 09:50:49.026212 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.026217 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.026223 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.026227 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.026237 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.026240 1277751 net.cpp:408] conv <- data -I1225 09:50:49.026247 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.026269 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.026274 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.026279 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.026288 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.026295 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.026299 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.026306 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.026461 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.026466 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.026471 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.026479 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.026484 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.026489 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.026494 1277751 net.cpp:408] loss <- label -I1225 09:50:49.026499 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.026507 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.026520 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.026525 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.026528 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.026535 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.026538 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.026543 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.026547 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.026552 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.026556 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.026563 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.026578 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.026654 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.776650 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.776662 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.776672 197118 net.cpp:382] data -> data +I0128 18:51:27.776682 197118 net.cpp:382] data -> label +I0128 18:51:27.776695 197118 net.cpp:124] Setting up data +I0128 18:51:27.776700 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.776707 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.776713 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.776718 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.776731 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.776736 197118 net.cpp:408] conv <- data +I0128 18:51:27.776743 197118 net.cpp:382] conv -> conv +I0128 18:51:27.776770 197118 net.cpp:124] Setting up conv +I0128 18:51:27.776777 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.776784 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.776794 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.776804 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.776809 197118 net.cpp:408] ip <- conv +I0128 18:51:27.776818 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.776978 197118 net.cpp:124] Setting up ip +I0128 18:51:27.776986 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.776993 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.777001 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.777009 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.777014 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.777019 197118 net.cpp:408] loss <- label +I0128 18:51:27.777025 197118 net.cpp:382] loss -> loss +I0128 18:51:27.777035 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.777050 197118 net.cpp:124] Setting up loss +I0128 18:51:27.777055 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.777061 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.777069 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.777074 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.777079 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.777083 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.777088 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.777096 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.777103 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.777122 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.777218 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19663,10 +19697,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmp9aly7jq8" +net: "/tmp/tmp1f80n9iu" snapshot_after_train: false -I1225 09:50:49.026686 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmp9aly7jq8 -I1225 09:50:49.026787 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.777256 197118 solver.cpp:102] Creating training net from net file: /tmp/tmp1f80n9iu +I0128 18:51:27.777390 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19744,46 +19778,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.026880 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.026888 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.026896 1277751 net.cpp:382] data -> data -I1225 09:50:49.026904 1277751 net.cpp:382] data -> label -I1225 09:50:49.026916 1277751 net.cpp:124] Setting up data -I1225 09:50:49.026922 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.026928 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.026939 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.026944 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.026954 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.026958 1277751 net.cpp:408] conv <- data -I1225 09:50:49.026965 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.026989 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.026993 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.026998 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.027007 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.027015 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.027021 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.027027 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.027184 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.027187 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.027194 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.027201 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.027209 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.027212 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.027217 1277751 net.cpp:408] loss <- label -I1225 09:50:49.027223 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.027231 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.027243 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.027248 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.027252 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.027259 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.027263 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.027268 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.027272 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.027277 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.027282 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.027290 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.027400 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp9aly7jq8 -I1225 09:50:49.027420 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.777489 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.777501 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.777509 197118 net.cpp:382] data -> data +I0128 18:51:27.777520 197118 net.cpp:382] data -> label +I0128 18:51:27.777534 197118 net.cpp:124] Setting up data +I0128 18:51:27.777539 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.777546 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.777552 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.777556 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.777570 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.777575 197118 net.cpp:408] conv <- data +I0128 18:51:27.777585 197118 net.cpp:382] conv -> conv +I0128 18:51:27.777611 197118 net.cpp:124] Setting up conv +I0128 18:51:27.777616 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.777623 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.777633 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.777642 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.777647 197118 net.cpp:408] ip <- conv +I0128 18:51:27.777652 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.777812 197118 net.cpp:124] Setting up ip +I0128 18:51:27.777818 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.777824 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.777832 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.777840 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.777845 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.777851 197118 net.cpp:408] loss <- label +I0128 18:51:27.777858 197118 net.cpp:382] loss -> loss +I0128 18:51:27.777868 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.777885 197118 net.cpp:124] Setting up loss +I0128 18:51:27.777889 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.777895 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.777904 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.777909 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.777915 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.777920 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.777925 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.777930 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.777937 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.778069 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1f80n9iu +I0128 18:51:27.778090 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19861,48 +19895,48 @@ bottom: "label" top: "loss" } -I1225 09:50:49.027505 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.027514 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.027521 1277751 net.cpp:382] data -> data -I1225 09:50:49.027529 1277751 net.cpp:382] data -> label -I1225 09:50:49.027541 1277751 net.cpp:124] Setting up data -I1225 09:50:49.027545 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.027551 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.027556 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.027560 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.027570 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.027573 1277751 net.cpp:408] conv <- data -I1225 09:50:49.027580 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.027601 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.027606 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.027611 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.027621 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.027628 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.027632 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.027638 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.027799 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.027804 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.027809 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.027817 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.027823 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.027827 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.027832 1277751 net.cpp:408] loss <- label -I1225 09:50:49.027838 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.027845 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.027858 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.027863 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.027868 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.027874 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.027879 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.027884 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.027889 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.027894 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.027899 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.027905 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.027921 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.028919 1277751 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel -I1225 09:50:49.029246 1277751 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate -.I1225 09:50:49.030170 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.778203 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.778214 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.778221 197118 net.cpp:382] data -> data +I0128 18:51:27.778231 197118 net.cpp:382] data -> label +I0128 18:51:27.778241 197118 net.cpp:124] Setting up data +I0128 18:51:27.778246 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.778252 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.778259 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.778262 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.778273 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.778280 197118 net.cpp:408] conv <- data +I0128 18:51:27.778287 197118 net.cpp:382] conv -> conv +I0128 18:51:27.778312 197118 net.cpp:124] Setting up conv +I0128 18:51:27.778318 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.778764 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.778781 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.778790 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.778795 197118 net.cpp:408] ip <- conv +I0128 18:51:27.778801 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.779011 197118 net.cpp:124] Setting up ip +I0128 18:51:27.779016 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.779021 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.779029 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.779035 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.779040 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.779044 197118 net.cpp:408] loss <- label +I0128 18:51:27.779050 197118 net.cpp:382] loss -> loss +I0128 18:51:27.779063 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.779078 197118 net.cpp:124] Setting up loss +I0128 18:51:27.779083 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.779088 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.779098 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.779101 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.779105 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.779110 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.779114 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.779119 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.779126 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.779148 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.779872 197118 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel +I0128 18:51:27.780167 197118 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate +.I0128 18:51:27.781067 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19914,10 +19948,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpf6yr4st_" +net: "/tmp/tmpj86xdxf1" snapshot_after_train: false -I1225 09:50:49.030242 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpf6yr4st_ -I1225 09:50:49.030419 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.781136 197118 solver.cpp:102] Creating training net from net file: /tmp/tmpj86xdxf1 +I0128 18:51:27.781296 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19995,46 +20029,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.030555 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.030570 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.030580 1277751 net.cpp:382] data -> data -I1225 09:50:49.030596 1277751 net.cpp:382] data -> label -I1225 09:50:49.030620 1277751 net.cpp:124] Setting up data -I1225 09:50:49.030627 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.030637 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.030647 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.030651 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.030664 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.030670 1277751 net.cpp:408] conv <- data -I1225 09:50:49.030680 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.030717 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.030727 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.030733 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.030747 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.030761 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.030766 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.030776 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.030954 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.030961 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.030966 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.030975 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.030983 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.030988 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.030994 1277751 net.cpp:408] loss <- label -I1225 09:50:49.031002 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.031011 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.031028 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.031033 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.031038 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.031050 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.031054 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.031059 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.031064 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.031069 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.031077 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.031086 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.031214 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf6yr4st_ -I1225 09:50:49.031234 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.781421 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.781435 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.781445 197118 net.cpp:382] data -> data +I0128 18:51:27.781459 197118 net.cpp:382] data -> label +I0128 18:51:27.781478 197118 net.cpp:124] Setting up data +I0128 18:51:27.781484 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.781491 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.781498 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.781503 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.781515 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.781522 197118 net.cpp:408] conv <- data +I0128 18:51:27.781533 197118 net.cpp:382] conv -> conv +I0128 18:51:27.781567 197118 net.cpp:124] Setting up conv +I0128 18:51:27.781572 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.781579 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.781589 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.781599 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.781605 197118 net.cpp:408] ip <- conv +I0128 18:51:27.781611 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.781796 197118 net.cpp:124] Setting up ip +I0128 18:51:27.781801 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.781807 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.781816 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.781823 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.781828 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.781833 197118 net.cpp:408] loss <- label +I0128 18:51:27.781841 197118 net.cpp:382] loss -> loss +I0128 18:51:27.781850 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.781874 197118 net.cpp:124] Setting up loss +I0128 18:51:27.781879 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.781884 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.781896 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.781901 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.781906 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.781911 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.781917 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.781924 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.781931 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.782068 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpj86xdxf1 +I0128 18:51:27.782086 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20112,46 +20146,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.031337 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.031348 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.031358 1277751 net.cpp:382] data -> data -I1225 09:50:49.031368 1277751 net.cpp:382] data -> label -I1225 09:50:49.031380 1277751 net.cpp:124] Setting up data -I1225 09:50:49.031386 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.031394 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.031399 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.031404 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.031414 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.031419 1277751 net.cpp:408] conv <- data -I1225 09:50:49.031425 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.031450 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.031455 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.031461 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.031469 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.031476 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.031481 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.031487 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.031646 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.031651 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.031657 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.031666 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.031672 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.031677 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.031683 1277751 net.cpp:408] loss <- label -I1225 09:50:49.031689 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.031698 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.031713 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.031719 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.031724 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.031733 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.031738 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.031742 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.031746 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.031752 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.031757 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.031766 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.031783 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.031872 1277751 solver.cpp:45] Initializing solver from parameters: +I0128 18:51:27.782187 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.782197 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.782204 197118 net.cpp:382] data -> data +I0128 18:51:27.782213 197118 net.cpp:382] data -> label +I0128 18:51:27.782224 197118 net.cpp:124] Setting up data +I0128 18:51:27.782228 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.782235 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.782241 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.782245 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.782254 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.782259 197118 net.cpp:408] conv <- data +I0128 18:51:27.782266 197118 net.cpp:382] conv -> conv +I0128 18:51:27.782291 197118 net.cpp:124] Setting up conv +I0128 18:51:27.782296 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.782302 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.782311 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.782318 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.782407 197118 net.cpp:408] ip <- conv +I0128 18:51:27.782420 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.782609 197118 net.cpp:124] Setting up ip +I0128 18:51:27.782618 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.782626 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.782636 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.782651 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.782657 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.782663 197118 net.cpp:408] loss <- label +I0128 18:51:27.782670 197118 net.cpp:382] loss -> loss +I0128 18:51:27.782680 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.782694 197118 net.cpp:124] Setting up loss +I0128 18:51:27.782699 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.782706 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.782714 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.782719 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.782727 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.782732 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.782737 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.782742 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.782752 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.782773 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.782866 197118 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -20163,10 +20197,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpf6yr4st_" +net: "/tmp/tmpj86xdxf1" snapshot_after_train: false -I1225 09:50:49.031909 1277751 solver.cpp:102] Creating training net from net file: /tmp/tmpf6yr4st_ -I1225 09:50:49.032124 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.782902 197118 solver.cpp:102] Creating training net from net file: /tmp/tmpj86xdxf1 +I0128 18:51:27.783025 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20244,46 +20278,46 @@ bottom: "label" top: "loss" } -I1225 09:50:49.032225 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.032238 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.032245 1277751 net.cpp:382] data -> data -I1225 09:50:49.032255 1277751 net.cpp:382] data -> label -I1225 09:50:49.032266 1277751 net.cpp:124] Setting up data -I1225 09:50:49.032272 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.032279 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.032284 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.032289 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.032299 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.032305 1277751 net.cpp:408] conv <- data -I1225 09:50:49.032312 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.032337 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.032343 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.032349 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.032359 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.032367 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.032372 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.032380 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.036708 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.036761 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.036774 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.036798 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.036818 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.036825 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.036834 1277751 net.cpp:408] loss <- label -I1225 09:50:49.036844 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.036867 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.036886 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.036890 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.036895 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.036916 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.036924 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.036933 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.036937 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.036944 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.036949 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.036960 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.037226 1277751 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf6yr4st_ -I1225 09:50:49.037257 1277751 net.cpp:53] Initializing net from parameters: +I0128 18:51:27.783123 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.783133 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.783141 197118 net.cpp:382] data -> data +I0128 18:51:27.783151 197118 net.cpp:382] data -> label +I0128 18:51:27.783164 197118 net.cpp:124] Setting up data +I0128 18:51:27.783169 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.783176 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.783181 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.783185 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.783196 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.783200 197118 net.cpp:408] conv <- data +I0128 18:51:27.783210 197118 net.cpp:382] conv -> conv +I0128 18:51:27.783233 197118 net.cpp:124] Setting up conv +I0128 18:51:27.783239 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.783246 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.783255 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.783264 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.783274 197118 net.cpp:408] ip <- conv +I0128 18:51:27.783282 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.783442 197118 net.cpp:124] Setting up ip +I0128 18:51:27.783450 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.783457 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.783466 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.783476 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.783481 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.783488 197118 net.cpp:408] loss <- label +I0128 18:51:27.783494 197118 net.cpp:382] loss -> loss +I0128 18:51:27.783504 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.783519 197118 net.cpp:124] Setting up loss +I0128 18:51:27.783524 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.783530 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.783540 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.783545 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.783550 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.783556 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.783562 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.783568 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.783578 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.783715 197118 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpj86xdxf1 +I0128 18:51:27.783737 197118 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20361,77 +20395,77 @@ bottom: "label" top: "loss" } -I1225 09:50:49.037431 1277751 layer_factory.hpp:77] Creating layer data -I1225 09:50:49.037441 1277751 net.cpp:86] Creating Layer data -I1225 09:50:49.037449 1277751 net.cpp:382] data -> data -I1225 09:50:49.037459 1277751 net.cpp:382] data -> label -I1225 09:50:49.037472 1277751 net.cpp:124] Setting up data -I1225 09:50:49.037477 1277751 net.cpp:131] Top shape: 5 2 3 4 (120) -I1225 09:50:49.037483 1277751 net.cpp:131] Top shape: 5 1 1 1 (5) -I1225 09:50:49.037488 1277751 net.cpp:139] Memory required for data: 500 -I1225 09:50:49.037493 1277751 layer_factory.hpp:77] Creating layer conv -I1225 09:50:49.037505 1277751 net.cpp:86] Creating Layer conv -I1225 09:50:49.037509 1277751 net.cpp:408] conv <- data -I1225 09:50:49.037516 1277751 net.cpp:382] conv -> conv -I1225 09:50:49.037545 1277751 net.cpp:124] Setting up conv -I1225 09:50:49.037550 1277751 net.cpp:131] Top shape: 5 11 8 9 (3960) -I1225 09:50:49.037555 1277751 net.cpp:139] Memory required for data: 16340 -I1225 09:50:49.037564 1277751 layer_factory.hpp:77] Creating layer ip -I1225 09:50:49.037572 1277751 net.cpp:86] Creating Layer ip -I1225 09:50:49.037577 1277751 net.cpp:408] ip <- conv -I1225 09:50:49.037583 1277751 net.cpp:382] ip -> ip_blob -I1225 09:50:49.037758 1277751 net.cpp:124] Setting up ip -I1225 09:50:49.037763 1277751 net.cpp:131] Top shape: 5 13 (65) -I1225 09:50:49.037768 1277751 net.cpp:139] Memory required for data: 16600 -I1225 09:50:49.037775 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.037782 1277751 net.cpp:86] Creating Layer loss -I1225 09:50:49.037787 1277751 net.cpp:408] loss <- ip_blob -I1225 09:50:49.037801 1277751 net.cpp:408] loss <- label -I1225 09:50:49.037806 1277751 net.cpp:382] loss -> loss -I1225 09:50:49.037815 1277751 layer_factory.hpp:77] Creating layer loss -I1225 09:50:49.037829 1277751 net.cpp:124] Setting up loss -I1225 09:50:49.037834 1277751 net.cpp:131] Top shape: (1) -I1225 09:50:49.037839 1277751 net.cpp:134] with loss weight 1 -I1225 09:50:49.037847 1277751 net.cpp:139] Memory required for data: 16604 -I1225 09:50:49.037851 1277751 net.cpp:200] loss needs backward computation. -I1225 09:50:49.037856 1277751 net.cpp:200] ip needs backward computation. -I1225 09:50:49.037860 1277751 net.cpp:200] conv needs backward computation. -I1225 09:50:49.037865 1277751 net.cpp:202] data does not need backward computation. -I1225 09:50:49.037870 1277751 net.cpp:244] This network produces output loss -I1225 09:50:49.037878 1277751 net.cpp:257] Network initialization done. -I1225 09:50:49.037896 1277751 solver.cpp:57] Solver scaffolding done. -I1225 09:50:49.038604 1277751 solver.cpp:289] Solving testnet -I1225 09:50:49.038612 1277751 solver.cpp:290] Learning Rate Policy: inv -I1225 09:50:49.038650 1277751 solver.cpp:347] Iteration 0, Testing net (#0) -I1225 09:50:49.040346 1277751 solver.cpp:414] Test net output #0: loss = 84.0942 (* 1 = 84.0942 loss) -I1225 09:50:49.045255 1277751 solver.cpp:239] Iteration 0 (0 iter/s, 0.006s/100 iters), loss = 87.3365 -I1225 09:50:49.045337 1277751 solver.cpp:258] Train net output #0: loss = 87.3365 (* 1 = 87.3365 loss) -I1225 09:50:49.045351 1277751 sgd_solver.cpp:112] Iteration 0, lr = 0.01 -I1225 09:50:49.076655 1277751 solver.cpp:347] Iteration 10, Testing net (#0) -I1225 09:50:49.078409 1277751 solver.cpp:414] Test net output #0: loss = 60.6129 (* 1 = 60.6129 loss) -I1225 09:50:49.106402 1277751 solver.cpp:347] Iteration 20, Testing net (#0) -I1225 09:50:49.108256 1277751 solver.cpp:414] Test net output #0: loss = 81.4873 (* 1 = 81.4873 loss) -I1225 09:50:49.134114 1277751 solver.cpp:347] Iteration 30, Testing net (#0) -I1225 09:50:49.136044 1277751 solver.cpp:414] Test net output #0: loss = 64.5976 (* 1 = 64.5976 loss) -I1225 09:50:49.171895 1277751 solver.cpp:347] Iteration 40, Testing net (#0) -I1225 09:50:49.177922 1277751 solver.cpp:414] Test net output #0: loss = 69.4453 (* 1 = 69.4453 loss) -I1225 09:50:49.196805 1277751 solver.cpp:347] Iteration 50, Testing net (#0) -I1225 09:50:49.198650 1277751 solver.cpp:414] Test net output #0: loss = 59.1686 (* 1 = 59.1686 loss) -I1225 09:50:49.214850 1277751 solver.cpp:347] Iteration 60, Testing net (#0) -I1225 09:50:49.216758 1277751 solver.cpp:414] Test net output #0: loss = 83.8289 (* 1 = 83.8289 loss) -I1225 09:50:49.244357 1277751 solver.cpp:347] Iteration 70, Testing net (#0) -I1225 09:50:49.246287 1277751 solver.cpp:414] Test net output #0: loss = 72.1499 (* 1 = 72.1499 loss) -I1225 09:50:49.275107 1277751 solver.cpp:347] Iteration 80, Testing net (#0) -I1225 09:50:49.281487 1277751 solver.cpp:414] Test net output #0: loss = 69.2196 (* 1 = 69.2196 loss) -I1225 09:50:49.302642 1277751 solver.cpp:347] Iteration 90, Testing net (#0) -I1225 09:50:49.310158 1277751 solver.cpp:414] Test net output #0: loss = 78.2858 (* 1 = 78.2858 loss) -I1225 09:50:49.337450 1277751 solver.cpp:327] Iteration 100, loss = 48.4664 -I1225 09:50:49.337512 1277751 solver.cpp:347] Iteration 100, Testing net (#0) -I1225 09:50:49.339396 1277751 solver.cpp:414] Test net output #0: loss = 71.1512 (* 1 = 71.1512 loss) -I1225 09:50:49.339413 1277751 solver.cpp:332] Optimization Done. +I0128 18:51:27.783844 197118 layer_factory.hpp:77] Creating layer data +I0128 18:51:27.783855 197118 net.cpp:86] Creating Layer data +I0128 18:51:27.783864 197118 net.cpp:382] data -> data +I0128 18:51:27.783876 197118 net.cpp:382] data -> label +I0128 18:51:27.783892 197118 net.cpp:124] Setting up data +I0128 18:51:27.783897 197118 net.cpp:131] Top shape: 5 2 3 4 (120) +I0128 18:51:27.783905 197118 net.cpp:131] Top shape: 5 1 1 1 (5) +I0128 18:51:27.783910 197118 net.cpp:139] Memory required for data: 500 +I0128 18:51:27.783915 197118 layer_factory.hpp:77] Creating layer conv +I0128 18:51:27.783927 197118 net.cpp:86] Creating Layer conv +I0128 18:51:27.783933 197118 net.cpp:408] conv <- data +I0128 18:51:27.783942 197118 net.cpp:382] conv -> conv +I0128 18:51:27.783967 197118 net.cpp:124] Setting up conv +I0128 18:51:27.783973 197118 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0128 18:51:27.783979 197118 net.cpp:139] Memory required for data: 16340 +I0128 18:51:27.783989 197118 layer_factory.hpp:77] Creating layer ip +I0128 18:51:27.783998 197118 net.cpp:86] Creating Layer ip +I0128 18:51:27.784003 197118 net.cpp:408] ip <- conv +I0128 18:51:27.784010 197118 net.cpp:382] ip -> ip_blob +I0128 18:51:27.784170 197118 net.cpp:124] Setting up ip +I0128 18:51:27.784178 197118 net.cpp:131] Top shape: 5 13 (65) +I0128 18:51:27.784184 197118 net.cpp:139] Memory required for data: 16600 +I0128 18:51:27.784193 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.784202 197118 net.cpp:86] Creating Layer loss +I0128 18:51:27.784207 197118 net.cpp:408] loss <- ip_blob +I0128 18:51:27.784214 197118 net.cpp:408] loss <- label +I0128 18:51:27.784221 197118 net.cpp:382] loss -> loss +I0128 18:51:27.784230 197118 layer_factory.hpp:77] Creating layer loss +I0128 18:51:27.784243 197118 net.cpp:124] Setting up loss +I0128 18:51:27.784248 197118 net.cpp:131] Top shape: (1) +I0128 18:51:27.784255 197118 net.cpp:134] with loss weight 1 +I0128 18:51:27.784262 197118 net.cpp:139] Memory required for data: 16604 +I0128 18:51:27.784266 197118 net.cpp:200] loss needs backward computation. +I0128 18:51:27.784271 197118 net.cpp:200] ip needs backward computation. +I0128 18:51:27.784276 197118 net.cpp:200] conv needs backward computation. +I0128 18:51:27.784281 197118 net.cpp:202] data does not need backward computation. +I0128 18:51:27.784287 197118 net.cpp:244] This network produces output loss +I0128 18:51:27.784296 197118 net.cpp:257] Network initialization done. +I0128 18:51:27.784314 197118 solver.cpp:57] Solver scaffolding done. +I0128 18:51:27.785032 197118 solver.cpp:289] Solving testnet +I0128 18:51:27.785044 197118 solver.cpp:290] Learning Rate Policy: inv +I0128 18:51:27.785080 197118 solver.cpp:347] Iteration 0, Testing net (#0) +I0128 18:51:27.787408 197118 solver.cpp:414] Test net output #0: loss = 76.5063 (* 1 = 76.5063 loss) +I0128 18:51:27.788435 197118 solver.cpp:239] Iteration 0 (-3.85684e-39 iter/s, 0.003s/100 iters), loss = 65.0676 +I0128 18:51:27.788460 197118 solver.cpp:258] Train net output #0: loss = 65.0676 (* 1 = 65.0676 loss) +I0128 18:51:27.788470 197118 sgd_solver.cpp:112] Iteration 0, lr = 0.01 +I0128 18:51:27.801719 197118 solver.cpp:347] Iteration 10, Testing net (#0) +I0128 18:51:27.803661 197118 solver.cpp:414] Test net output #0: loss = 81.849 (* 1 = 81.849 loss) +I0128 18:51:27.828325 197118 solver.cpp:347] Iteration 20, Testing net (#0) +I0128 18:51:27.830310 197118 solver.cpp:414] Test net output #0: loss = 85.678 (* 1 = 85.678 loss) +I0128 18:51:27.846542 197118 solver.cpp:347] Iteration 30, Testing net (#0) +I0128 18:51:27.848562 197118 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0128 18:51:27.863798 197118 solver.cpp:347] Iteration 40, Testing net (#0) +I0128 18:51:27.865546 197118 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0128 18:51:27.879719 197118 solver.cpp:347] Iteration 50, Testing net (#0) +I0128 18:51:27.881532 197118 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0128 18:51:27.899461 197118 solver.cpp:347] Iteration 60, Testing net (#0) +I0128 18:51:27.901212 197118 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0128 18:51:27.918849 197118 solver.cpp:347] Iteration 70, Testing net (#0) +I0128 18:51:27.920542 197118 solver.cpp:414] Test net output #0: loss = 87.2461 (* 1 = 87.2461 loss) +I0128 18:51:27.940624 197118 solver.cpp:347] Iteration 80, Testing net (#0) +I0128 18:51:27.942871 197118 solver.cpp:414] Test net output #0: loss = 85.2234 (* 1 = 85.2234 loss) +I0128 18:51:27.955240 197118 solver.cpp:347] Iteration 90, Testing net (#0) +I0128 18:51:27.956940 197118 solver.cpp:414] Test net output #0: loss = 87.2937 (* 1 = 87.2937 loss) +I0128 18:51:27.976562 197118 solver.cpp:327] Iteration 100, loss = 60.5244 +I0128 18:51:27.976642 197118 solver.cpp:347] Iteration 100, Testing net (#0) +I0128 18:51:27.978206 197118 solver.cpp:414] Test net output #0: loss = 87.3365 (* 1 = 87.3365 loss) +I0128 18:51:27.978219 197118 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- -Ran 52 tests in 32.597s +Ran 52 tests in 29.177s OK make[5]: Leaving directory '/build/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -20449,7 +20483,7 @@ 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 -j15 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 -j16 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 @@ -20661,25 +20695,25 @@ dh_shlibdeps -a -O-Scmake dh_installdeb -O-Scmake dh_gencontrol -O-Scmake +dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined -dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined -dpkg-gencontrol: warning: package 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 dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined -dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined +dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined +dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake -dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. -dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. +dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. +dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. -dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb'. -dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. +dpkg-deb: building package 'python3-caffe-dbgsym' in '../python3-caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. +dpkg-deb: building package 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_amd64.changes @@ -20688,12 +20722,14 @@ dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration +I: user script /srv/workspace/pbuilder/83977/tmp/hooks/B01_cleanup starting +I: user script /srv/workspace/pbuilder/83977/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/862015 and its subdirectories -I: Current time: Sat Dec 25 09:58:46 -12 2021 -I: pbuilder-time-stamp: 1640469526 +I: removing directory /srv/workspace/pbuilder/83977 and its subdirectories +I: Current time: Sat Jan 28 18:56:42 +14 2023 +I: pbuilder-time-stamp: 1674881802