Diff of the two buildlogs: -- --- b1/build.log 2024-08-07 17:42:22.608556191 +0000 +++ b2/build.log 2024-08-07 18:24:20.409723634 +0000 @@ -1,6 +1,6 @@ I: pbuilder: network access will be disabled during build -I: Current time: Tue Sep 9 11:57:18 -12 2025 -I: pbuilder-time-stamp: 1757462238 +I: Current time: Thu Aug 8 07:42:26 +14 2024 +I: pbuilder-time-stamp: 1723052546 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/bullseye-reproducible-base.tgz] I: copying local configuration @@ -17,8 +17,8 @@ I: copying [./caffe_1.0.0+git20180821.99bd997-8.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' -gpgv: keyblock resource '/tmp/dpkg-verify-sig.h56dfcEO/trustedkeys.kbx': General error -gpgv: Signature made Fri Nov 20 19:51:48 2020 -12 +gpgv: keyblock resource '/tmp/dpkg-verify-sig.yFGQgIHp/trustedkeys.kbx': General error +gpgv: Signature made Sat Nov 21 21:51:48 2020 +14 gpgv: using RSA key 638BC75EC1E5C589067E35DE62645EB35F686A8A gpgv: issuer "lumin@debian.org" gpgv: Can't check signature: No public key @@ -35,135 +35,166 @@ dpkg-source: info: applying pyrequire-no-leveldb.patch I: using fakeroot in build. I: Installing the build-deps -I: user script /srv/workspace/pbuilder/3823469/tmp/hooks/D02_print_environment starting +I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/D01_modify_environment starting +debug: Running on ionos1-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 +'/bin/sh' -> '/bin/bash' +lrwxrwxrwx 1 root root 9 Aug 8 07:42 /bin/sh -> /bin/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/1045749/tmp/hooks/D01_modify_environment finished +I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/D02_print_environment starting I: set - BUILDDIR='/build/reproducible-path' - BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' - BUILDUSERNAME='pbuilder1' - BUILD_ARCH='amd64' - DEBIAN_FRONTEND='noninteractive' - DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all,-fixfilepath parallel=42 ' - DISTRIBUTION='bullseye' - HOME='/root' - HOST_ARCH='amd64' + 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/reproducible-path + 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=20 ' + DIRSTACK=() + DISTRIBUTION=bullseye + EUID=0 + FUNCNAME=([0]="Echo" [1]="main") + GROUPS=() + HOME=/root + HOSTNAME=i-capture-the-hostname + HOSTTYPE=x86_64 + HOST_ARCH=amd64 IFS=' ' - INVOCATION_ID='55c57e000e194d46843eeeea35372e32' - LANG='C' - LANGUAGE='en_US:en' - LC_ALL='C' - MAIL='/var/mail/root' - OPTIND='1' - PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' - PBCURRENTCOMMANDLINEOPERATION='build' - PBUILDER_OPERATION='build' - PBUILDER_PKGDATADIR='/usr/share/pbuilder' - PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' - PBUILDER_SYSCONFDIR='/etc' - PPID='3823469' - PS1='# ' - PS2='> ' + INVOCATION_ID=8c607d8f3a32444c9b28eacb99585d50 + 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=1045749 PS4='+ ' - PWD='/' - SHELL='/bin/bash' - SHLVL='2' - SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.nnFTtvgQ/pbuilderrc_Iu0L --distribution bullseye --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.nnFTtvgQ/b1 --logfile b1/build.log caffe_1.0.0+git20180821.99bd997-8.dsc' - SUDO_GID='110' - SUDO_UID='105' - SUDO_USER='jenkins' - TERM='unknown' - TZ='/usr/share/zoneinfo/Etc/GMT+12' - USER='root' - _='/usr/bin/systemd-run' - http_proxy='http://213.165.73.152:3128' + 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/r-b-build.nnFTtvgQ/pbuilderrc_2Ikb --distribution bullseye --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/bullseye-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.nnFTtvgQ/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://46.16.76.132:3128 I: uname -a - Linux ionos5-amd64 6.9.7+bpo-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.9.7-1~bpo12+1 (2024-07-03) x86_64 GNU/Linux + Linux i-capture-the-hostname 6.1.0-23-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.99-1 (2024-07-15) x86_64 GNU/Linux I: ls -l /bin total 5476 - -rwxr-xr-x 1 root root 1234376 Mar 27 2022 bash - -rwxr-xr-x 3 root root 38984 Jul 20 2020 bunzip2 - -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzcat - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzcmp -> bzdiff - -rwxr-xr-x 1 root root 2225 Jul 20 2020 bzdiff - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzegrep -> bzgrep - -rwxr-xr-x 1 root root 4877 Sep 4 2019 bzexe - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzfgrep -> bzgrep - -rwxr-xr-x 1 root root 3775 Jul 20 2020 bzgrep - -rwxr-xr-x 3 root root 38984 Jul 20 2020 bzip2 - -rwxr-xr-x 1 root root 18424 Jul 20 2020 bzip2recover - lrwxrwxrwx 1 root root 6 Jul 20 2020 bzless -> bzmore - -rwxr-xr-x 1 root root 1297 Jul 20 2020 bzmore - -rwxr-xr-x 1 root root 43936 Sep 23 2020 cat - -rwxr-xr-x 1 root root 72672 Sep 23 2020 chgrp - -rwxr-xr-x 1 root root 64448 Sep 23 2020 chmod - -rwxr-xr-x 1 root root 72672 Sep 23 2020 chown - -rwxr-xr-x 1 root root 151168 Sep 23 2020 cp - -rwxr-xr-x 1 root root 125560 Dec 10 2020 dash - -rwxr-xr-x 1 root root 113664 Sep 23 2020 date - -rwxr-xr-x 1 root root 80968 Sep 23 2020 dd - -rwxr-xr-x 1 root root 93936 Sep 23 2020 df - -rwxr-xr-x 1 root root 147176 Sep 23 2020 dir - -rwxr-xr-x 1 root root 84440 Mar 27 2024 dmesg - lrwxrwxrwx 1 root root 8 Nov 6 2019 dnsdomainname -> hostname - lrwxrwxrwx 1 root root 8 Nov 6 2019 domainname -> hostname - -rwxr-xr-x 1 root root 39712 Sep 23 2020 echo - -rwxr-xr-x 1 root root 28 Jan 24 2023 egrep - -rwxr-xr-x 1 root root 39680 Sep 23 2020 false - -rwxr-xr-x 1 root root 28 Jan 24 2023 fgrep - -rwxr-xr-x 1 root root 69032 Mar 27 2024 findmnt - -rwsr-xr-x 1 root root 34896 Feb 26 2021 fusermount - -rwxr-xr-x 1 root root 203072 Jan 24 2023 grep - -rwxr-xr-x 2 root root 2346 Apr 9 2022 gunzip - -rwxr-xr-x 1 root root 6447 Apr 9 2022 gzexe - -rwxr-xr-x 1 root root 98048 Apr 9 2022 gzip - -rwxr-xr-x 1 root root 22600 Nov 6 2019 hostname - -rwxr-xr-x 1 root root 72840 Sep 23 2020 ln - -rwxr-xr-x 1 root root 56952 Feb 7 2020 login - -rwxr-xr-x 1 root root 147176 Sep 23 2020 ls - -rwxr-xr-x 1 root root 149736 Mar 27 2024 lsblk - -rwxr-xr-x 1 root root 85184 Sep 23 2020 mkdir - -rwxr-xr-x 1 root root 76896 Sep 23 2020 mknod - -rwxr-xr-x 1 root root 48064 Sep 23 2020 mktemp - -rwxr-xr-x 1 root root 59632 Mar 27 2024 more - -rwsr-xr-x 1 root root 55528 Mar 27 2024 mount - -rwxr-xr-x 1 root root 18664 Mar 27 2024 mountpoint - -rwxr-xr-x 1 root root 147080 Sep 23 2020 mv - lrwxrwxrwx 1 root root 8 Nov 6 2019 nisdomainname -> hostname - lrwxrwxrwx 1 root root 14 Dec 16 2021 pidof -> /sbin/killall5 - -rwxr-xr-x 1 root root 43872 Sep 23 2020 pwd - lrwxrwxrwx 1 root root 4 Mar 27 2022 rbash -> bash - -rwxr-xr-x 1 root root 52032 Sep 23 2020 readlink - -rwxr-xr-x 1 root root 72704 Sep 23 2020 rm - -rwxr-xr-x 1 root root 52032 Sep 23 2020 rmdir - -rwxr-xr-x 1 root root 27472 Sep 27 2020 run-parts - -rwxr-xr-x 1 root root 122224 Dec 22 2018 sed - lrwxrwxrwx 1 root root 4 Sep 9 03:46 sh -> dash - -rwxr-xr-x 1 root root 43808 Sep 23 2020 sleep - -rwxr-xr-x 1 root root 84928 Sep 23 2020 stty - -rwsr-xr-x 1 root root 71912 Mar 27 2024 su - -rwxr-xr-x 1 root root 39744 Sep 23 2020 sync - -rwxr-xr-x 1 root root 531928 Jan 19 2024 tar - -rwxr-xr-x 1 root root 14456 Sep 27 2020 tempfile - -rwxr-xr-x 1 root root 101408 Sep 23 2020 touch - -rwxr-xr-x 1 root root 39680 Sep 23 2020 true - -rwxr-xr-x 1 root root 14328 Feb 26 2021 ulockmgr_server - -rwsr-xr-x 1 root root 35040 Mar 27 2024 umount - -rwxr-xr-x 1 root root 39744 Sep 23 2020 uname - -rwxr-xr-x 2 root root 2346 Apr 9 2022 uncompress - -rwxr-xr-x 1 root root 147176 Sep 23 2020 vdir - -rwxr-xr-x 1 root root 63744 Mar 27 2024 wdctl - lrwxrwxrwx 1 root root 8 Nov 6 2019 ypdomainname -> hostname - -rwxr-xr-x 1 root root 1984 Apr 9 2022 zcat - -rwxr-xr-x 1 root root 1678 Apr 9 2022 zcmp - -rwxr-xr-x 1 root root 5898 Apr 9 2022 zdiff - -rwxr-xr-x 1 root root 29 Apr 9 2022 zegrep - -rwxr-xr-x 1 root root 29 Apr 9 2022 zfgrep - -rwxr-xr-x 1 root root 2081 Apr 9 2022 zforce - -rwxr-xr-x 1 root root 8049 Apr 9 2022 zgrep - -rwxr-xr-x 1 root root 2206 Apr 9 2022 zless - -rwxr-xr-x 1 root root 1842 Apr 9 2022 zmore - -rwxr-xr-x 1 root root 4577 Apr 9 2022 znew -I: user script /srv/workspace/pbuilder/3823469/tmp/hooks/D02_print_environment finished + -rwxr-xr-x 1 root root 1234376 Mar 28 2022 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 Mar 29 00:09 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 Jan 25 2023 egrep + -rwxr-xr-x 1 root root 39680 Sep 24 2020 false + -rwxr-xr-x 1 root root 28 Jan 25 2023 fgrep + -rwxr-xr-x 1 root root 69032 Mar 29 00:09 findmnt + -rwsr-xr-x 1 root root 34896 Feb 27 2021 fusermount + -rwxr-xr-x 1 root root 203072 Jan 25 2023 grep + -rwxr-xr-x 2 root root 2346 Apr 10 2022 gunzip + -rwxr-xr-x 1 root root 6447 Apr 10 2022 gzexe + -rwxr-xr-x 1 root root 98048 Apr 10 2022 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 Mar 29 00:09 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 Mar 29 00:09 more + -rwsr-xr-x 1 root root 55528 Mar 29 00:09 mount + -rwxr-xr-x 1 root root 18664 Mar 29 00:09 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 Dec 17 2021 pidof -> /sbin/killall5 + -rwxr-xr-x 1 root root 43872 Sep 24 2020 pwd + lrwxrwxrwx 1 root root 4 Mar 28 2022 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 9 Aug 8 07:42 sh -> /bin/bash + -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 Mar 29 00:09 su + -rwxr-xr-x 1 root root 39744 Sep 24 2020 sync + -rwxr-xr-x 1 root root 531928 Jan 20 2024 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 Mar 29 00:09 umount + -rwxr-xr-x 1 root root 39744 Sep 24 2020 uname + -rwxr-xr-x 2 root root 2346 Apr 10 2022 uncompress + -rwxr-xr-x 1 root root 147176 Sep 24 2020 vdir + -rwxr-xr-x 1 root root 63744 Mar 29 00:09 wdctl + lrwxrwxrwx 1 root root 8 Nov 8 2019 ypdomainname -> hostname + -rwxr-xr-x 1 root root 1984 Apr 10 2022 zcat + -rwxr-xr-x 1 root root 1678 Apr 10 2022 zcmp + -rwxr-xr-x 1 root root 5898 Apr 10 2022 zdiff + -rwxr-xr-x 1 root root 29 Apr 10 2022 zegrep + -rwxr-xr-x 1 root root 29 Apr 10 2022 zfgrep + -rwxr-xr-x 1 root root 2081 Apr 10 2022 zforce + -rwxr-xr-x 1 root root 8049 Apr 10 2022 zgrep + -rwxr-xr-x 1 root root 2206 Apr 10 2022 zless + -rwxr-xr-x 1 root root 1842 Apr 10 2022 zmore + -rwxr-xr-x 1 root root 4577 Apr 10 2022 znew +I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy @@ -840,7 +871,7 @@ Get: 554 http://deb.debian.org/debian bullseye/main amd64 python3-tifffile all 20210201-1 [134 kB] Get: 555 http://deb.debian.org/debian bullseye/main amd64 python3-skimage all 0.18.1-2 [20.6 MB] Get: 556 http://deb.debian.org/debian bullseye/main amd64 python3-yaml amd64 5.3.1-5 [138 kB] -Fetched 564 MB in 12s (48.8 MB/s) +Fetched 564 MB in 34s (16.7 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libapparmor1:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19711 files and directories currently installed.) @@ -3124,7 +3155,11 @@ fakeroot is already the newest version (1.25.3-1.1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package -I: Running cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../caffe_1.0.0+git20180821.99bd997-8_source.changes +I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/A99_set_merged_usr starting +Not re-configuring usrmerge for bullseye +I: user script /srv/workspace/pbuilder/1045749/tmp/hooks/A99_set_merged_usr finished +hostname: Name or service not known +I: Running cd /build/reproducible-path/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 @@ -3261,7 +3296,7 @@ make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_build --builddirectory="caffe_cpu_build" \ -- caffe pycaffe test.testbin all - cd caffe_cpu_build && make -j42 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 + cd caffe_cpu_build && make -j20 "INSTALL=install --strip-program=true" caffe pycaffe test.testbin all VERBOSE=1 make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 caffe @@ -3301,128 +3336,136 @@ make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o -[ 1%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o +[ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/common.cpp.o +[ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/blob.cpp.o [ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/data_transformer.cpp.o -[ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o -[ 3%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o +[ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/absval_layer.cpp.o +[ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer_factory.cpp.o +[ 5%] Building CXX object src/caffe/CMakeFiles/caffe.dir/internal_thread.cpp.o +[ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layer.cpp.o +[ 7%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/accuracy_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 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-I/build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_lcn_layer.cpp.o -c /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK 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-[ 26%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o +In file included from /usr/include/boost/smart_ptr/detail/sp_thread_sleep.hpp:22, + from /usr/include/boost/smart_ptr/detail/yield_k.hpp:23, + from /usr/include/boost/smart_ptr/detail/spinlock_gcc_atomic.hpp:14, + from /usr/include/boost/smart_ptr/detail/spinlock.hpp:42, + from /usr/include/boost/smart_ptr/detail/spinlock_pool.hpp:25, + from /usr/include/boost/smart_ptr/shared_ptr.hpp:29, + from /usr/include/boost/shared_ptr.hpp:17, + from /usr/include/boost/python/converter/shared_ptr_to_python.hpp:12, + from /usr/include/boost/python/converter/arg_to_python.hpp:15, + from /usr/include/boost/python/call.hpp:15, + from /usr/include/boost/python/object_core.hpp:14, + from /usr/include/boost/python/args.hpp:22, + from /usr/include/boost/python.hpp:11, + from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:4: +/usr/include/boost/bind.hpp:36:1: note: '#pragma message: The practice of declaring the Bind placeholders (_1, _2, ...) in the global namespace is deprecated. Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' + 36 | BOOST_PRAGMA_MESSAGE( + | ^~~~~~~~~~~~~~~~~~~~ +/usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' + 13 | BOOST_HEADER_DEPRECATED("") + | ^~~~~~~~~~~~~~~~~~~~~~~ +[ 25%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_pooling_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_pooling_layer.cpp +[ 25%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 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-fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_relu_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_relu_layer.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/cudnn_tanh_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/cudnn_tanh_layer.cpp [ 28%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/data_layer.cpp.o -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include 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CMakeFiles/caffe.dir/layers/deconv_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/deconv_layer.cpp +[ 30%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/dropout_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 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/usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/eltwise_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/eltwise_layer.cpp +[ 34%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/elu_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/elu_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/elu_layer.cpp -[ 38%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/filter_layer.cpp.o +/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': +/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here +/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] + 298 | } catch (bp::error_already_set) { + | ^~~~~~~~~~~~~~~~~ +/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': +/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here +/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] +[ 34%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/embed_layer.cpp.o cd 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Please use + using namespace boost::placeholders, or define BOOST_BIND_GLOBAL_PLACEHOLDERS to retain the current behavior.' - 36 | BOOST_PRAGMA_MESSAGE( - | ^~~~~~~~~~~~~~~~~~~~ -/usr/include/boost/detail/iterator.hpp:13:1: note: '#pragma message: This header is deprecated. Use instead.' - 13 | BOOST_HEADER_DEPRECATED("") - | ^~~~~~~~~~~~~~~~~~~~~~~ +[ 50%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/lrn_layer.cpp.o +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/lrn_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/lrn_layer.cpp [ 50%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/lstm_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/lstm_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/lstm_layer.cpp [ 51%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/lstm_unit_layer.cpp.o @@ -3449,12 +3492,12 @@ cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/reduction_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/reduction_layer.cpp [ 61%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/relu_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/relu_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/relu_layer.cpp -[ 63%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/scale_layer.cpp.o -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/scale_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/scale_layer.cpp -[ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/reshape_layer.cpp.o -[ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/rnn_layer.cpp.o +[ 63%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/reshape_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/reshape_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/reshape_layer.cpp +[ 63%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/rnn_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/rnn_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/rnn_layer.cpp +[ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/scale_layer.cpp.o +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/scale_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/scale_layer.cpp [ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/sigmoid_cross_entropy_loss_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/sigmoid_cross_entropy_loss_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp [ 65%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/sigmoid_layer.cpp.o @@ -3468,15 +3511,7 @@ [ 69%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/softmax_loss_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/softmax_loss_layer.cpp [ 71%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/split_layer.cpp.o -/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = float]': -/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here -/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] - 298 | } catch (bp::error_already_set) { - | ^~~~~~~~~~~~~~~~~ cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/split_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/split_layer.cpp -/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp: In instantiation of 'boost::shared_ptr > caffe::GetPythonLayer(const caffe::LayerParameter&) [with Dtype = double]': -/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:304:1: required from here -/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layer_factory.cpp:298:16: warning: catching polymorphic type 'struct boost::python::error_already_set' by value [-Wcatch-value=] [ 71%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/spp_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/layers/spp_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/layers/spp_layer.cpp [ 73%] Building CXX object src/caffe/CMakeFiles/caffe.dir/layers/swish_layer.cpp.o @@ -3493,10 +3528,10 @@ cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/net.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/net.cpp [ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/parallel.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/parallel.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/parallel.cpp -[ 78%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solver.cpp.o -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solver.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp [ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solvers/adadelta_solver.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/adadelta_solver.cpp +[ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solver.cpp.o +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solver.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/solver.cpp [ 80%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/adagrad_solver.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/solvers/adagrad_solver.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/solvers/adagrad_solver.cpp [ 82%] Building CXX object src/caffe/CMakeFiles/caffe.dir/solvers/adam_solver.cpp.o @@ -3517,10 +3552,10 @@ cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/cudnn.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/cudnn.cpp [ 90%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/db.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/db.cpp -[ 90%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db_leveldb.cpp.o -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/db_leveldb.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/db_leveldb.cpp [ 92%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db_lmdb.cpp.o +[ 92%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/db_leveldb.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/db_lmdb.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/db_lmdb.cpp +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/db_leveldb.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/db_leveldb.cpp [ 92%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/hdf5.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -DWITH_PYTHON_LAYER -Dcaffe_EXPORTS -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/usr/include/python3.9 -I/usr/lib/python3/dist-packages/numpy/core/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -fPIC -o CMakeFiles/caffe.dir/util/hdf5.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/util/hdf5.cpp [ 94%] Building CXX object src/caffe/CMakeFiles/caffe.dir/util/im2col.cpp.o @@ -3640,8 +3675,14 @@ make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +Scanning dependencies of target gtest +make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build +make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 1%] Built target caffeproto make -f src/caffe/CMakeFiles/caffe.dir/build.make src/caffe/CMakeFiles/caffe.dir/depend +[ 2%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -3649,13 +3690,7 @@ make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffe.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 59%] Built target caffe -Scanning dependencies of target gtest -make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build -make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 60%] Building CXX object src/gtest/CMakeFiles/gtest.dir/gtest-all.cpp.o -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest && /usr/bin/c++ -DCAFFE_VERSION=1.0.0 -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -isystem /usr/include/hdf5/serial -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/gtest.dir/gtest-all.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp +[ 60%] Built target caffe In file included from /usr/include/string.h:495, from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest.h:285, from /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest/gtest-all.cpp:39: @@ -3686,88 +3721,88 @@ make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/test/CMakeFiles/test.testbin.dir/build.make src/caffe/test/CMakeFiles/test.testbin.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 60%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -[ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -[ 62%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -[ 63%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -[ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -[ 64%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_blob.cpp.o -[ 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src/caffe/test/CMakeFiles/test.testbin.dir/test_contrastive_loss_layer.cpp.o +[ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o [ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_convolution_layer.cpp.o -[ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o -[ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_db.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_accuracy_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_accuracy_layer.cpp +[ 66%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o +[ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_argmax_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_argmax_layer.cpp -[ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o -[ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o +[ 67%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_layer.cpp.o +[ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_transformer.cpp.o +[ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_norm_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_norm_layer.cpp -[ 68%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_crop_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_batch_reindex_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_batch_reindex_layer.cpp -[ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_eltwise_layer.cpp.o -[ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_embed_layer.cpp.o +[ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_db.cpp.o +[ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_dummy_data_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_benchmark.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_benchmark.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_bias_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_bias_layer.cpp -[ 70%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_data_layer.cpp.o -[ 71%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_deconvolution_layer.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_blob.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_blob.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_caffe_main.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_caffe_main.cpp cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_common.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_common.cpp cd 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CMakeFiles/test.testbin.dir/test_concat_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_concat_layer.cpp -[ 73%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_euclidean_loss_layer.cpp.o -[ 73%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_filter_layer.cpp.o -[ 73%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_filler.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE -DUSE_HDF5 -DUSE_LEVELDB -DUSE_LMDB -DUSE_OPENCV -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/include -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build 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-I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src -I/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/include -isystem /usr/include/hdf5/serial -isystem /usr/include/opencv4 -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -o CMakeFiles/test.testbin.dir/test_lstm_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_lstm_layer.cpp +[ 81%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_math_functions.cpp.o cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/test && /usr/bin/c++ -DBOOST_ALL_NO_LIB -DBOOST_ATOMIC_DYN_LINK -DBOOST_FILESYSTEM_DYN_LINK -DBOOST_PYTHON_DYN_LINK -DBOOST_SYSTEM_DYN_LINK -DBOOST_THREAD_DYN_LINK -DCAFFE_VERSION=1.0.0 -DCPU_ONLY -DGTEST_USE_OWN_TR1_TUPLE 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CMakeFiles/test.testbin.dir/test_mvn_layer.cpp.o -c /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe/test/test_mvn_layer.cpp [ 85%] Building CXX object src/caffe/test/CMakeFiles/test.testbin.dir/test_net.cpp.o @@ -3855,190 +3890,190 @@ make -f tools/CMakeFiles/upgrade_net_proto_binary.dir/build.make tools/CMakeFiles/upgrade_net_proto_binary.dir/depend make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/depend make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/depend +make -f tools/CMakeFiles/compute_image_mean.dir/build.make tools/CMakeFiles/compute_image_mean.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 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/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake --color= -make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/extract_features.dir/DependInfo.cmake --color= make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/depend -make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend -make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend -make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend -make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= -make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/convert_imageset.dir/DependInfo.cmake --color= +make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/compute_image_mean.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_solver_proto_text.dir/DependInfo.cmake --color= +make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/caffe.bin.dir/DependInfo.cmake --color= +make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/depend +make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/depend +make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/depend make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/depend +make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_siamese_data.dir/DependInfo.cmake --color= -make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/depend make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/classification.dir/DependInfo.cmake --color= -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_mnist_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/CMakeFiles/convert_cifar_data.dir/DependInfo.cmake --color= make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/python/CMakeFiles/pycaffe.dir/DependInfo.cmake --color= -Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". -Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/DependInfo.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". -Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_text.dir/depend.internal". -Dependee "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/CMakeDirectoryInformation.cmake" is newer than depender "/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools/CMakeFiles/upgrade_net_proto_binary.dir/depend.internal". 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'/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f python/CMakeFiles/pycaffe.dir/build.make python/CMakeFiles/pycaffe.dir/build Scanning dependencies of target extract_features -Scanning dependencies of target upgrade_net_proto_text -Scanning dependencies of target upgrade_net_proto_binary -Scanning dependencies of target convert_imageset -Scanning dependencies of target convert_mnist_siamese_data +make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Nothing to be done for 'python/CMakeFiles/pycaffe.dir/build'. make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -Scanning dependencies of target upgrade_solver_proto_text +make -f tools/CMakeFiles/extract_features.dir/build.make tools/CMakeFiles/extract_features.dir/build +make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' Scanning dependencies of target convert_mnist_data -Scanning dependencies of target caffe.bin -Scanning dependencies of target compute_image_mean -make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +Scanning dependencies of target upgrade_net_proto_binary make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/build +make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Leaving directory 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'/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f tools/CMakeFiles/upgrade_solver_proto_text.dir/build.make tools/CMakeFiles/upgrade_solver_proto_text.dir/build -make -f tools/CMakeFiles/caffe.bin.dir/build.make tools/CMakeFiles/caffe.bin.dir/build -make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f examples/CMakeFiles/convert_mnist_siamese_data.dir/build.make examples/CMakeFiles/convert_mnist_siamese_data.dir/build -make -f examples/CMakeFiles/convert_mnist_data.dir/build.make examples/CMakeFiles/convert_mnist_data.dir/build -make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make -f examples/CMakeFiles/classification.dir/build.make examples/CMakeFiles/classification.dir/build +Scanning dependencies of target convert_mnist_siamese_data make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f examples/CMakeFiles/convert_cifar_data.dir/build.make examples/CMakeFiles/convert_cifar_data.dir/build +make -f tools/CMakeFiles/convert_imageset.dir/build.make tools/CMakeFiles/convert_imageset.dir/build make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 82%] Built target pycaffe make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[4]: Entering directory 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convert_mnist_siamese_data +[ 93%] Built target compute_image_mean cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/mnist/convert_mnist_data.bin -[ 93%] Linking CXX executable compute_image_mean make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/compute_image_mean.dir/link.txt --verbose=1 -/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now 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/usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 [ 93%] Built target convert_mnist_data +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/siamese/convert_mnist_siamese_data.bin +make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 93%] Built target convert_mnist_siamese_data cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cifar10/convert_cifar_data.bin make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target convert_cifar_data -make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 93%] Built target compute_image_mean [ 93%] Linking CXX executable convert_imageset cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/convert_imageset.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/convert_imageset.dir/convert_imageset.cpp.o -o convert_imageset ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 93%] Built target convert_imageset -[ 95%] Linking CXX executable upgrade_net_proto_text +[ 95%] Linking CXX executable upgrade_solver_proto_text +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_proto_text.dir/link.txt --verbose=1 +/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -o upgrade_solver_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /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 +[ 96%] Linking CXX executable upgrade_net_proto_text cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_text.dir/link.txt --verbose=1 -[ 96%] Linking CXX executable upgrade_net_proto_binary -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_binary.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -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 +[ 98%] Linking CXX executable upgrade_net_proto_binary +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_net_proto_binary.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_net_proto_binary.dir/upgrade_net_proto_binary.cpp.o -o upgrade_net_proto_binary ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/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 -[ 98%] Linking CXX executable upgrade_solver_proto_text -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/upgrade_solver_proto_text.dir/link.txt --verbose=1 -/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/upgrade_solver_proto_text.dir/upgrade_solver_proto_text.cpp.o -o upgrade_solver_proto_text ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 +make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 98%] Built target upgrade_solver_proto_text make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target upgrade_net_proto_text make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target upgrade_net_proto_binary -make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target upgrade_solver_proto_text [ 98%] Linking CXX executable extract_features cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/tools && /usr/bin/cmake -E cmake_link_script CMakeFiles/extract_features.dir/link.txt --verbose=1 /usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/extract_features.dir/extract_features.cpp.o -o extract_features ../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 -[ 98%] Linking CXX executable cpp_classification/classification -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/classification.dir/link.txt --verbose=1 -/usr/bin/c++ -g -O2 -fdebug-prefix-map=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/classification.dir/cpp_classification/classification.cpp.o -o cpp_classification/classification ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [ 98%] Built target extract_features -cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification.bin -make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 98%] Built target classification +[ 98%] Linking CXX executable cpp_classification/classification +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && /usr/bin/cmake -E cmake_link_script CMakeFiles/classification.dir/link.txt --verbose=1 [100%] Linking CXX executable caffe cd /build/reproducible-path/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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/classification.dir/cpp_classification/classification.cpp.o -o cpp_classification/classification ../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/reproducible-path/caffe-1.0.0+git20180821.99bd997=. -fstack-protector-strong -Wformat -Werror=format-security -Wall -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -Wall -Wno-sign-compare -Wno-uninitialized -O3 -DNDEBUG -Wl,-z,relro -Wl,-z,now -Wl,--as-needed -rdynamic CMakeFiles/caffe.bin.dir/caffe.cpp.o -o caffe ../lib/libcaffe.so.1.0.0 ../lib/libcaffeproto.a /usr/lib/x86_64-linux-gnu/libboost_system.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_thread.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_atomic.so.1.74.0 /usr/lib/x86_64-linux-gnu/libboost_filesystem.so.1.74.0 -lglog -lgflags -lprotobuf -lpthread /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5.so -lpthread -lsz -lz -ldl -lm /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl_cpp.so /usr/lib/x86_64-linux-gnu/hdf5/serial/libhdf5_hl.so -llmdb -lleveldb /usr/lib/x86_64-linux-gnu/libopencv_highgui.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_videoio.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgcodecs.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_imgproc.so.4.5.1 /usr/lib/x86_64-linux-gnu/libopencv_core.so.4.5.1 -lblas /usr/lib/x86_64-linux-gnu/libboost_python39.so.1.74.0 +cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples && ln -sf /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/examples/cpp_classification/classification.bin make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make[4]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[100%] Built target classification [100%] Built target caffe.bin make[3]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -E cmake_progress_start /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/CMakeFiles 0 @@ -11937,7 +11972,7 @@ make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_test --builddirectory="caffe_cpu_build" \ -- runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/"caffe_cpu_build"/lib/ - cd caffe_cpu_build && make -j42 test runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j42 + cd caffe_cpu_build && make -j20 test runtest pytest LD_LIBRARY_PATH=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/caffe_cpu_build/lib/ ARGS\+=-j20 make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[2]: Nothing to be done for 'test'. /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 @@ -11948,24 +11983,24 @@ make -f CMakeFiles/Makefile2 src/caffe/test/CMakeFiles/runtest.dir/all make[4]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/depend -make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffeproto.dir/DependInfo.cmake --color= +make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/depend make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/gtest /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/gtest/CMakeFiles/gtest.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build -make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make -f src/gtest/CMakeFiles/gtest.dir/build.make src/gtest/CMakeFiles/gtest.dir/build -make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' make[5]: Nothing to be done for 'src/gtest/CMakeFiles/gtest.dir/build'. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' -[ 1%] Built target caffeproto +make -f src/caffe/CMakeFiles/caffeproto.dir/build.make src/caffe/CMakeFiles/caffeproto.dir/build +make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +make[5]: Nothing to be done for 'src/caffe/CMakeFiles/caffeproto.dir/build'. +make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' +[ 1%] Built target gtest +[ 2%] 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/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/src/caffe/CMakeFiles/caffe.dir/DependInfo.cmake --color= make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -11992,2786 +12027,2499 @@ make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997 && /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build/test/test.testbin --gtest_shuffle --gtest_filter="-*GPU*" Note: Google Test filter = -*GPU* -Note: Randomizing tests' orders with a seed of 93748 . +Note: Randomizing tests' orders with a seed of 30225 . [==========] Running 1162 tests from 152 test cases. [----------] Global test environment set-up. -[----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] DeconvolutionLayerTest/1.TestGradient -[ OK ] DeconvolutionLayerTest/1.TestGradient (397 ms) -[ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D -[ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (627 ms) -[ RUN ] DeconvolutionLayerTest/1.TestGradient3D -[ OK ] DeconvolutionLayerTest/1.TestGradient3D (123 ms) -[ RUN ] DeconvolutionLayerTest/1.TestSetup -[ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) -[ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution -[ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) -[----------] 5 tests from DeconvolutionLayerTest/1 (1147 ms total) - -[----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double -[ RUN ] PositiveUnitballFillerTest/1.TestFill1D -[ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) -[ RUN ] PositiveUnitballFillerTest/1.TestFill -[ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) -[ RUN ] PositiveUnitballFillerTest/1.TestFill5D -[ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) -[ RUN ] PositiveUnitballFillerTest/1.TestFill2D -[ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) -[----------] 4 tests from PositiveUnitballFillerTest/1 (0 ms total) - -[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (1 ms) -[ RUN ] LRNLayerTest/0.TestSetupWithinChannel -[ OK ] LRNLayerTest/0.TestSetupWithinChannel (0 ms) -[ RUN ] LRNLayerTest/0.TestSetupAcrossChannels -[ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) -[ RUN ] LRNLayerTest/0.TestForwardWithinChannel -[ OK ] LRNLayerTest/0.TestForwardWithinChannel (0 ms) -[ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (513 ms) -[ RUN ] LRNLayerTest/0.TestGradientAcrossChannels -[ OK ] LRNLayerTest/0.TestGradientAcrossChannels (400 ms) -[ RUN ] LRNLayerTest/0.TestGradientWithinChannel -[ OK ] LRNLayerTest/0.TestGradientWithinChannel (293 ms) -[ RUN ] LRNLayerTest/0.TestForwardAcrossChannels -[ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) -[----------] 8 tests from LRNLayerTest/0 (1208 ms total) - -[----------] 5 tests from BenchmarkTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BenchmarkTest/0.TestTimerConstructor -[ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) -[ RUN ] BenchmarkTest/0.TestTimerStop -[ OK ] BenchmarkTest/0.TestTimerStop (0 ms) -[ RUN ] BenchmarkTest/0.TestTimerSeconds -[ OK ] BenchmarkTest/0.TestTimerSeconds (300 ms) -[ RUN ] BenchmarkTest/0.TestTimerStart -[ OK ] BenchmarkTest/0.TestTimerStart (0 ms) -[ RUN ] BenchmarkTest/0.TestTimerMilliSeconds -[ OK ] BenchmarkTest/0.TestTimerMilliSeconds (300 ms) -[----------] 5 tests from BenchmarkTest/0 (601 ms total) - -[----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BatchReindexLayerTest/0.TestGradient -[ OK ] BatchReindexLayerTest/0.TestGradient (111 ms) -[ RUN ] BatchReindexLayerTest/0.TestForward -[ OK ] BatchReindexLayerTest/0.TestForward (0 ms) -[----------] 2 tests from BatchReindexLayerTest/0 (111 ms total) - -[----------] 2 tests from CommonTest -[ RUN ] CommonTest.TestRandSeedCPU -[ OK ] CommonTest.TestRandSeedCPU (1 ms) -[ RUN ] CommonTest.TestBrewMode -[ OK ] CommonTest.TestBrewMode (0 ms) -[----------] 2 tests from CommonTest (1 ms total) - -[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5DataLayerTest/1.TestSkip -[ OK ] HDF5DataLayerTest/1.TestSkip (15 ms) -[ RUN ] HDF5DataLayerTest/1.TestRead -[ OK ] HDF5DataLayerTest/1.TestRead (4 ms) -[----------] 2 tests from HDF5DataLayerTest/1 (19 ms total) - -[----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BiasLayerTest/1.TestForwardEltwise -[ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd -[ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam -[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (67 ms) -[ RUN ] BiasLayerTest/1.TestForwardBias -[ OK ] BiasLayerTest/1.TestForwardBias (0 ms) -[ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace -[ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd -[ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (85 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin -[ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle -[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (66 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam -[ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (133 ms) -[ RUN ] BiasLayerTest/1.TestGradientBias -[ OK ] BiasLayerTest/1.TestGradientBias (57 ms) -[ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 -[ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientEltwise -[ OK ] BiasLayerTest/1.TestGradientEltwise (2 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin -[ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (61 ms) -[ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam -[ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace -[ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 -[ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (57 ms) -[ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) -[----------] 20 tests from BiasLayerTest/1 (530 ms total) - -[----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (11 ms) -[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (10 ms) -[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] AdamSolverTest/0.TestSnapshot -[ OK ] AdamSolverTest/0.TestSnapshot (11 ms) -[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (47 ms) -[ RUN ] AdamSolverTest/0.TestSnapshotShare -[ OK ] AdamSolverTest/0.TestSnapshotShare (13 ms) -[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare -[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (46 ms) -[----------] 8 tests from AdamSolverTest/0 (142 ms total) - -[----------] 4 tests from ConstantFillerTest/1, where TypeParam = double -[ RUN ] ConstantFillerTest/1.TestFill1D -[ OK ] ConstantFillerTest/1.TestFill1D (0 ms) -[ RUN ] ConstantFillerTest/1.TestFill -[ OK ] ConstantFillerTest/1.TestFill (0 ms) -[ RUN ] ConstantFillerTest/1.TestFill5D -[ OK ] ConstantFillerTest/1.TestFill5D (0 ms) -[ RUN ] ConstantFillerTest/1.TestFill2D -[ OK ] ConstantFillerTest/1.TestFill2D (0 ms) -[----------] 4 tests from ConstantFillerTest/1 (0 ms total) +[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LayerFactoryTest/1.TestCreateLayer +[ OK ] LayerFactoryTest/1.TestCreateLayer (2296 ms) +[----------] 1 test from LayerFactoryTest/1 (2296 ms total) -[----------] 4 tests from BlobSimpleTest/0, where TypeParam = float -[ RUN ] BlobSimpleTest/0.TestReshape -[ OK ] BlobSimpleTest/0.TestReshape (0 ms) -[ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals -[ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) -[ RUN ] BlobSimpleTest/0.TestInitialization -[ OK ] BlobSimpleTest/0.TestInitialization (0 ms) -[ RUN ] BlobSimpleTest/0.TestReshapeZero -[ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) -[----------] 4 tests from BlobSimpleTest/0 (1 ms total) +[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double +[ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal +[ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing +[ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (13 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal +[ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPU +[ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK +[ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (80 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK +[ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK +[ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (44 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetup +[ OK ] ArgMaxLayerTest/1.TestSetup (7 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUTopK +[ OK ] ArgMaxLayerTest/1.TestCPUTopK (2 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxis +[ OK ] ArgMaxLayerTest/1.TestSetupAxis (1 ms) +[ RUN ] ArgMaxLayerTest/1.TestCPUAxis +[ OK ] ArgMaxLayerTest/1.TestCPUAxis (42 ms) +[ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal +[ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (1 ms) +[----------] 12 tests from ArgMaxLayerTest/1 (197 ms total) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss -[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (1 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (0 ms) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (1 ms total) +[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (1 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (24 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized +[ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (74 ms) +[ RUN ] SoftmaxWithLossLayerTest/1.TestGradient +[ OK ] SoftmaxWithLossLayerTest/1.TestGradient (41 ms) +[----------] 4 tests from SoftmaxWithLossLayerTest/1 (141 ms total) -[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BatchNormLayerTest/0.TestForward -[ OK ] BatchNormLayerTest/0.TestForward (0 ms) -[ RUN ] BatchNormLayerTest/0.TestGradient -[ OK ] BatchNormLayerTest/0.TestGradient (99 ms) -[ RUN ] BatchNormLayerTest/0.TestForwardInplace -[ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) -[----------] 3 tests from BatchNormLayerTest/0 (99 ms total) +[----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double +[ RUN ] DummyDataLayerTest/1.TestOneTopConstant +[ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/1.TestTwoTopConstant +[ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) +[ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant +[ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) +[----------] 3 tests from DummyDataLayerTest/1 (0 ms total) -[----------] 12 tests from DataTransformTest/0, where TypeParam = float -[ RUN ] DataTransformTest/0.TestMirrorTest -[ OK ] DataTransformTest/0.TestMirrorTest (0 ms) -[ RUN ] DataTransformTest/0.TestCropMirrorTest -[ OK ] DataTransformTest/0.TestCropMirrorTest (1 ms) -[ RUN ] DataTransformTest/0.TestCropTrain -[ OK ] DataTransformTest/0.TestCropTrain (0 ms) -[ RUN ] DataTransformTest/0.TestMeanValues -[ OK ] DataTransformTest/0.TestMeanValues (0 ms) -[ RUN ] DataTransformTest/0.TestCropMirrorTrain -[ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) -[ RUN ] DataTransformTest/0.TestMirrorTrain -[ OK ] DataTransformTest/0.TestMirrorTrain (0 ms) -[ RUN ] DataTransformTest/0.TestEmptyTransform -[ OK ] DataTransformTest/0.TestEmptyTransform (0 ms) -[ RUN ] DataTransformTest/0.TestMeanFile -[ OK ] DataTransformTest/0.TestMeanFile (0 ms) -[ RUN ] DataTransformTest/0.TestCropSize -[ OK ] DataTransformTest/0.TestCropSize (0 ms) -[ RUN ] DataTransformTest/0.TestMeanValue -[ OK ] DataTransformTest/0.TestMeanValue (0 ms) -[ RUN ] DataTransformTest/0.TestCropTest -[ OK ] DataTransformTest/0.TestCropTest (0 ms) -[ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels -[ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) -[----------] 12 tests from DataTransformTest/0 (1 ms total) +[----------] 2 tests from InternalThreadTest +[ RUN ] InternalThreadTest.TestRandomSeed +[ OK ] InternalThreadTest.TestRandomSeed (34 ms) +[ RUN ] InternalThreadTest.TestStartAndExit +[ OK ] InternalThreadTest.TestStartAndExit (12 ms) +[----------] 2 tests from InternalThreadTest (46 ms total) -[----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float -[ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup -[ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) -[----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) +[----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] InfogainLossLayerTest/0.TestGradient +[ OK ] InfogainLossLayerTest/0.TestGradient (2 ms) +[ RUN ] InfogainLossLayerTest/0.TestInfogainLoss +[ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) +[----------] 2 tests from InfogainLossLayerTest/0 (2 ms total) -[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] TanHLayerTest/1.TestTanHOverflow -[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) -[ RUN ] TanHLayerTest/1.TestTanH -[ OK ] TanHLayerTest/1.TestTanH (0 ms) -[ RUN ] TanHLayerTest/1.TestTanHGradient -[ OK ] TanHLayerTest/1.TestTanHGradient (2 ms) -[----------] 3 tests from TanHLayerTest/1 (2 ms total) +[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (9 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeff +[ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumGradient +[ OK ] ReductionLayerTest/1.TestSumGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumGradient +[ OK ] ReductionLayerTest/1.TestAbsSumGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffGradient +[ OK ] ReductionLayerTest/1.TestSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestMean +[ OK ] ReductionLayerTest/1.TestMean (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient +[ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (9 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (1 ms) +[ RUN ] ReductionLayerTest/1.TestSetUp +[ OK ] ReductionLayerTest/1.TestSetUp (0 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSum +[ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 +[ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquares +[ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) +[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 +[ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (11 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (1 ms) +[ RUN ] ReductionLayerTest/1.TestAbsSumCoeff +[ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 +[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (7 ms) +[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 +[ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumCoeff +[ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestSum +[ OK ] ReductionLayerTest/1.TestSum (0 ms) +[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff +[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) +[ RUN ] ReductionLayerTest/1.TestMeanGradient +[ OK ] ReductionLayerTest/1.TestMeanGradient (1 ms) +[----------] 27 tests from ReductionLayerTest/1 (45 ms total) -[----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] InfogainLossLayerTest/1.TestGradient -[ OK ] InfogainLossLayerTest/1.TestGradient (1 ms) -[ RUN ] InfogainLossLayerTest/1.TestInfogainLoss -[ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) -[----------] 2 tests from InfogainLossLayerTest/1 (1 ms total) +[----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] EltwiseLayerTest/1.TestSum +[ OK ] EltwiseLayerTest/1.TestSum (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSumGradient +[ OK ] EltwiseLayerTest/1.TestSumGradient (37 ms) +[ RUN ] EltwiseLayerTest/1.TestSetUp +[ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient +[ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (26 ms) +[ RUN ] EltwiseLayerTest/1.TestStableProdGradient +[ OK ] EltwiseLayerTest/1.TestStableProdGradient (6 ms) +[ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient +[ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (6 ms) +[ RUN ] EltwiseLayerTest/1.TestMax +[ OK ] EltwiseLayerTest/1.TestMax (0 ms) +[ RUN ] EltwiseLayerTest/1.TestSumCoeff +[ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) +[ RUN ] EltwiseLayerTest/1.TestMaxGradient +[ OK ] EltwiseLayerTest/1.TestMaxGradient (12 ms) +[ RUN ] EltwiseLayerTest/1.TestProd +[ OK ] EltwiseLayerTest/1.TestProd (0 ms) +[----------] 10 tests from EltwiseLayerTest/1 (87 ms total) -[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] RNNLayerTest/1.TestSetUp -[ OK ] RNNLayerTest/1.TestSetUp (1 ms) -[ RUN ] RNNLayerTest/1.TestForward -[ OK ] RNNLayerTest/1.TestForward (3 ms) -[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 -[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (95 ms) -[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (431 ms) -[ RUN ] RNNLayerTest/1.TestGradient -[ OK ] RNNLayerTest/1.TestGradient (50 ms) -[ RUN ] RNNLayerTest/1.TestGradientNonZeroCont -[ OK ] RNNLayerTest/1.TestGradientNonZeroCont (51 ms) -[----------] 6 tests from RNNLayerTest/1 (631 ms total) +[----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform +[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 +[ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli +[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform +[ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian +[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) +[----------] 11 tests from RandomNumberGeneratorTest/0 (4 ms total) [----------] 9 tests from AccuracyLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AccuracyLayerTest/0.TestForwardTopK -[ OK ] AccuracyLayerTest/0.TestForwardTopK (3 ms) -[ RUN ] AccuracyLayerTest/0.TestSetupOutputPerClass -[ OK ] AccuracyLayerTest/0.TestSetupOutputPerClass (0 ms) +[ RUN ] AccuracyLayerTest/0.TestSetupTopK +[ OK ] AccuracyLayerTest/0.TestSetupTopK (3 ms) [ RUN ] AccuracyLayerTest/0.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/0.TestForwardWithSpatialAxes (0 ms) -[ RUN ] AccuracyLayerTest/0.TestSetupTopK -[ OK ] AccuracyLayerTest/0.TestSetupTopK (0 ms) -[ RUN ] AccuracyLayerTest/0.TestForward -[ OK ] AccuracyLayerTest/0.TestForward (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel +[ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (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.TestSetup [ OK ] AccuracyLayerTest/0.TestSetup (0 ms) +[ RUN ] AccuracyLayerTest/0.TestForward +[ OK ] AccuracyLayerTest/0.TestForward (7 ms) +[ RUN ] AccuracyLayerTest/0.TestForwardTopK +[ OK ] AccuracyLayerTest/0.TestForwardTopK (4 ms) [ RUN ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel -[ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (0 ms) -[ RUN ] AccuracyLayerTest/0.TestForwardIgnoreLabel -[ OK ] AccuracyLayerTest/0.TestForwardIgnoreLabel (1 ms) -[----------] 9 tests from AccuracyLayerTest/0 (5 ms total) +[ OK ] AccuracyLayerTest/0.TestForwardPerClassWithIgnoreLabel (1 ms) +[----------] 9 tests from AccuracyLayerTest/0 (17 ms total) -[----------] 3 tests from DummyDataLayerTest/1, where TypeParam = double -[ RUN ] DummyDataLayerTest/1.TestTwoTopConstant -[ OK ] DummyDataLayerTest/1.TestTwoTopConstant (0 ms) -[ RUN ] DummyDataLayerTest/1.TestOneTopConstant -[ OK ] DummyDataLayerTest/1.TestOneTopConstant (0 ms) -[ RUN ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant -[ OK ] DummyDataLayerTest/1.TestThreeTopConstantGaussianConstant (0 ms) -[----------] 3 tests from DummyDataLayerTest/1 (0 ms total) +[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (874 ms) +[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (62 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (464 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (447 ms) +[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (24 ms) +[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay +[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (38 ms) +[ RUN ] AdamSolverTest/1.TestSnapshot +[ OK ] AdamSolverTest/1.TestSnapshot (178 ms) +[ RUN ] AdamSolverTest/1.TestSnapshotShare +[ OK ] AdamSolverTest/1.TestSnapshotShare (237 ms) +[----------] 8 tests from AdamSolverTest/1 (2324 ms total) -[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (48 ms) -[ RUN ] SGDSolverTest/1.TestSnapshot -[ OK ] SGDSolverTest/1.TestSnapshot (11 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (50 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (10 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (10 ms) -[ RUN ] SGDSolverTest/1.TestSnapshotShare -[ OK ] SGDSolverTest/1.TestSnapshotShare (13 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (48 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (19 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (48 ms) -[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay -[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (19 ms) -[----------] 12 tests from SGDSolverTest/1 (280 ms total) +[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] EltwiseLayerTest/0.TestSumCoeff +[ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) +[ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient +[ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (32 ms) +[ RUN ] EltwiseLayerTest/0.TestMaxGradient +[ OK ] EltwiseLayerTest/0.TestMaxGradient (15 ms) +[ RUN ] EltwiseLayerTest/0.TestStableProdGradient +[ OK ] EltwiseLayerTest/0.TestStableProdGradient (9 ms) +[ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient +[ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (17 ms) +[ RUN ] EltwiseLayerTest/0.TestSetUp +[ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) +[ RUN ] EltwiseLayerTest/0.TestProd +[ OK ] EltwiseLayerTest/0.TestProd (1 ms) +[ RUN ] EltwiseLayerTest/0.TestSum +[ OK ] EltwiseLayerTest/0.TestSum (0 ms) +[ RUN ] EltwiseLayerTest/0.TestMax +[ OK ] EltwiseLayerTest/0.TestMax (0 ms) +[ RUN ] EltwiseLayerTest/0.TestSumGradient +[ OK ] EltwiseLayerTest/0.TestSumGradient (22 ms) +[----------] 10 tests from EltwiseLayerTest/0 (96 ms total) -[----------] 12 tests from ArgMaxLayerTest/1, where TypeParam = double -[ RUN ] ArgMaxLayerTest/1.TestCPUMaxValTopK -[ OK ] ArgMaxLayerTest/1.TestCPUMaxValTopK (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUAxisTopK -[ OK ] ArgMaxLayerTest/1.TestCPUAxisTopK (20 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupMaxVal -[ OK ] ArgMaxLayerTest/1.TestSetupMaxVal (0 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPU -[ OK ] ArgMaxLayerTest/1.TestCPU (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetup -[ OK ] ArgMaxLayerTest/1.TestSetup (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK -[ OK ] ArgMaxLayerTest/1.TestCPUAxisMaxValTopK (19 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupAxisMaxVal -[ OK ] ArgMaxLayerTest/1.TestSetupAxisMaxVal (0 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUAxis -[ OK ] ArgMaxLayerTest/1.TestCPUAxis (5 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUMaxVal -[ OK ] ArgMaxLayerTest/1.TestCPUMaxVal (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestCPUTopK -[ OK ] ArgMaxLayerTest/1.TestCPUTopK (1 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupAxis -[ OK ] ArgMaxLayerTest/1.TestSetupAxis (0 ms) -[ RUN ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing -[ OK ] ArgMaxLayerTest/1.TestSetupAxisNegativeIndexing (1 ms) -[----------] 12 tests from ArgMaxLayerTest/1 (50 ms total) +[----------] 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.TestGradientNum +[ OK ] ConcatLayerTest/0.TestGradientNum (12 ms) +[ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing +[ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) +[ RUN ] ConcatLayerTest/0.TestGradientChannels +[ OK ] ConcatLayerTest/0.TestGradientChannels (7 ms) +[ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly +[ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (6 ms) +[ RUN ] ConcatLayerTest/0.TestForwardChannels +[ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) +[ RUN ] ConcatLayerTest/0.TestGradientTrivial +[ OK ] ConcatLayerTest/0.TestGradientTrivial (4 ms) +[ RUN ] ConcatLayerTest/0.TestForwardNum +[ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) +[ RUN ] ConcatLayerTest/0.TestSetupNum +[ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) +[----------] 10 tests from ConcatLayerTest/0 (29 ms total) -[----------] 3 tests from SplitLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SplitLayerTest/1.TestGradient -[ OK ] SplitLayerTest/1.TestGradient (3 ms) -[ RUN ] SplitLayerTest/1.Test -[ OK ] SplitLayerTest/1.Test (0 ms) -[ RUN ] SplitLayerTest/1.TestSetup -[ OK ] SplitLayerTest/1.TestSetup (0 ms) -[----------] 3 tests from SplitLayerTest/1 (4 ms total) +[----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float +[ RUN ] CPUMathFunctionsTest/0.TestNothing +[ OK ] CPUMathFunctionsTest/0.TestNothing (3 ms) +[ RUN ] CPUMathFunctionsTest/0.TestScale +[ OK ] CPUMathFunctionsTest/0.TestScale (4 ms) +[ RUN ] CPUMathFunctionsTest/0.TestCopy +[ OK ] CPUMathFunctionsTest/0.TestCopy (4 ms) +[ RUN ] CPUMathFunctionsTest/0.TestSgnbit +[ OK ] CPUMathFunctionsTest/0.TestSgnbit (11 ms) +[ RUN ] CPUMathFunctionsTest/0.TestSign +[ OK ] CPUMathFunctionsTest/0.TestSign (9 ms) +[ RUN ] CPUMathFunctionsTest/0.TestAsum +[ OK ] CPUMathFunctionsTest/0.TestAsum (3 ms) +[ RUN ] CPUMathFunctionsTest/0.TestFabs +[ OK ] CPUMathFunctionsTest/0.TestFabs (6 ms) +[----------] 7 tests from CPUMathFunctionsTest/0 (40 ms total) -[----------] 1 test from SolverTypeUpgradeTest -[ RUN ] SolverTypeUpgradeTest.TestSimple -[ OK ] SolverTypeUpgradeTest.TestSimple (0 ms) -[----------] 1 test from SolverTypeUpgradeTest (0 ms total) +[----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] CropLayerTest/0.TestSetupShapeAll +[ OK ] CropLayerTest/0.TestSetupShapeAll (1 ms) +[ RUN ] CropLayerTest/0.TestSetupShapeDefault +[ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) +[ RUN ] CropLayerTest/0.TestCropAll +[ OK ] CropLayerTest/0.TestCropAll (0 ms) +[ RUN ] CropLayerTest/0.TestCrop5D +[ OK ] CropLayerTest/0.TestCrop5D (0 ms) +[ RUN ] CropLayerTest/0.TestCropAllGradient +[ OK ] CropLayerTest/0.TestCropAllGradient (719 ms) +[ RUN ] CropLayerTest/0.TestCropHWGradient +[ OK ] CropLayerTest/0.TestCropHWGradient (1421 ms) +[ RUN ] CropLayerTest/0.TestCrop5DGradient +[ OK ] CropLayerTest/0.TestCrop5DGradient (8195 ms) +[ RUN ] CropLayerTest/0.TestDimensionsCheck +[ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) +[ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing +[ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) +[ RUN ] CropLayerTest/0.TestCropAllOffset +[ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) +[ RUN ] CropLayerTest/0.TestCropHW +[ OK ] CropLayerTest/0.TestCropHW (0 ms) +[----------] 11 tests from CropLayerTest/0 (10336 ms total) -[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution -[ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution -[ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/1.TestGradient -[ OK ] ConvolutionLayerTest/1.TestGradient (49 ms) -[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup -[ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) -[ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D -[ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (249 ms) -[ RUN ] ConvolutionLayerTest/1.TestDilatedGradient -[ OK ] ConvolutionLayerTest/1.TestDilatedGradient (12 ms) -[ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution -[ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (6 ms) -[ RUN ] ConvolutionLayerTest/1.TestSetup -[ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) -[ RUN ] ConvolutionLayerTest/1.Test1x1Convolution -[ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) -[ RUN ] ConvolutionLayerTest/1.Test1x1Gradient -[ OK ] ConvolutionLayerTest/1.Test1x1Gradient (372 ms) -[ RUN ] ConvolutionLayerTest/1.TestGradientGroup -[ OK ] ConvolutionLayerTest/1.TestGradientGroup (14 ms) -[ RUN ] ConvolutionLayerTest/1.TestGradient3D -[ OK ] ConvolutionLayerTest/1.TestGradient3D (411 ms) -[ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution -[ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/1.TestSobelConvolution -[ OK ] ConvolutionLayerTest/1.TestSobelConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/1.Test0DConvolution -[ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) -[----------] 15 tests from ConvolutionLayerTest/1 (1115 ms total) +[----------] 4 tests from GaussianFillerTest/1, where TypeParam = double +[ RUN ] GaussianFillerTest/1.TestFill +[ OK ] GaussianFillerTest/1.TestFill (0 ms) +[ RUN ] GaussianFillerTest/1.TestFill5D +[ OK ] GaussianFillerTest/1.TestFill5D (1 ms) +[ RUN ] GaussianFillerTest/1.TestFill2D +[ OK ] GaussianFillerTest/1.TestFill2D (0 ms) +[ RUN ] GaussianFillerTest/1.TestFill1D +[ OK ] GaussianFillerTest/1.TestFill1D (1 ms) +[----------] 4 tests from GaussianFillerTest/1 (2 ms total) -[----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB -[ RUN ] DBTest/0.TestNext -[ OK ] DBTest/0.TestNext (98 ms) -[ RUN ] DBTest/0.TestWrite -[ OK ] DBTest/0.TestWrite (40 ms) -[ RUN ] DBTest/0.TestKeyValue -[ OK ] DBTest/0.TestKeyValue (27 ms) -[ RUN ] DBTest/0.TestGetDB -[ OK ] DBTest/0.TestGetDB (15 ms) -[ RUN ] DBTest/0.TestSeekToFirst -[ OK ] DBTest/0.TestSeekToFirst (27 ms) -[----------] 5 tests from DBTest/0 (207 ms total) +[----------] 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) -[----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double -[ RUN ] CPUMathFunctionsTest/1.TestFabs -[ OK ] CPUMathFunctionsTest/1.TestFabs (2 ms) -[ RUN ] CPUMathFunctionsTest/1.TestSign -[ OK ] CPUMathFunctionsTest/1.TestSign (3 ms) -[ RUN ] CPUMathFunctionsTest/1.TestSgnbit -[ OK ] CPUMathFunctionsTest/1.TestSgnbit (3 ms) -[ RUN ] CPUMathFunctionsTest/1.TestCopy -[ OK ] CPUMathFunctionsTest/1.TestCopy (2 ms) -[ RUN ] CPUMathFunctionsTest/1.TestAsum -[ OK ] CPUMathFunctionsTest/1.TestAsum (2 ms) -[ RUN ] CPUMathFunctionsTest/1.TestNothing -[ OK ] CPUMathFunctionsTest/1.TestNothing (2 ms) -[ RUN ] CPUMathFunctionsTest/1.TestScale -[ OK ] CPUMathFunctionsTest/1.TestScale (2 ms) -[----------] 7 tests from CPUMathFunctionsTest/1 (16 ms total) +[----------] 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 (0 ms) +[ RUN ] DummyDataLayerTest/0.TestTwoTopConstant +[ OK ] DummyDataLayerTest/0.TestTwoTopConstant (1 ms) +[----------] 3 tests from DummyDataLayerTest/0 (1 ms total) -[----------] 2 tests from BilinearFillerTest/1, where TypeParam = double -[ RUN ] BilinearFillerTest/1.TestFillEven -[ OK ] BilinearFillerTest/1.TestFillEven (5 ms) -[ RUN ] BilinearFillerTest/1.TestFillOdd -[ OK ] BilinearFillerTest/1.TestFillOdd (6 ms) -[----------] 2 tests from BilinearFillerTest/1 (11 ms total) +[----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (19 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (69 ms) +[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (16 ms) +[ RUN ] AdaGradSolverTest/0.TestSnapshotShare +[ OK ] AdaGradSolverTest/0.TestSnapshotShare (667 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (418 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (51 ms) +[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (10 ms) +[ RUN ] AdaGradSolverTest/0.TestSnapshot +[ OK ] AdaGradSolverTest/0.TestSnapshot (63 ms) +[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything +[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (370 ms) +[----------] 9 tests from AdaGradSolverTest/0 (1719 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) +[----------] 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 (0 ms) +[ RUN ] UniformFillerTest/0.TestFill +[ OK ] UniformFillerTest/0.TestFill (0 ms) +[ RUN ] UniformFillerTest/0.TestFill2D +[ OK ] UniformFillerTest/0.TestFill2D (0 ms) +[----------] 4 tests from UniformFillerTest/0 (1 ms total) + +[----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BatchReindexLayerTest/1.TestGradient +[ OK ] BatchReindexLayerTest/1.TestGradient (575 ms) +[ RUN ] BatchReindexLayerTest/1.TestForward +[ OK ] BatchReindexLayerTest/1.TestForward (0 ms) +[----------] 2 tests from BatchReindexLayerTest/1 (580 ms total) + +[----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (16 ms) +[ RUN ] AdaDeltaSolverTest/1.TestSnapshot +[ OK ] AdaDeltaSolverTest/1.TestSnapshot (140 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (950 ms) +[ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare +[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (100 ms) +[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (5 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (18 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (41 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (132 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (35 ms) +[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum +[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (52 ms) +[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (921 ms) +[----------] 11 tests from AdaDeltaSolverTest/1 (2428 ms total) [----------] 1 test from MultinomialLogisticLossLayerTest/0, where TypeParam = float [ RUN ] MultinomialLogisticLossLayerTest/0.TestGradientCPU [ OK ] MultinomialLogisticLossLayerTest/0.TestGradientCPU (1 ms) [----------] 1 test from MultinomialLogisticLossLayerTest/0 (1 ms total) -[----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam -[ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (133 ms) -[ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace -[ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientBias -[ OK ] BiasLayerTest/0.TestGradientBias (60 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle -[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam -[ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardBias -[ OK ] BiasLayerTest/0.TestForwardBias (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace -[ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (1 ms) -[ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 -[ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam -[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardEltwise -[ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd -[ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd -[ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (85 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle -[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (66 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin -[ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (60 ms) -[ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 -[ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (58 ms) -[ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin -[ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientEltwise -[ OK ] BiasLayerTest/0.TestGradientEltwise (2 ms) -[ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace -[ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam -[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (68 ms) -[----------] 20 tests from BiasLayerTest/0 (533 ms total) - -[----------] 2 tests from EuclideanLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] EuclideanLossLayerTest/1.TestGradient -[ OK ] EuclideanLossLayerTest/1.TestGradient (1 ms) -[ RUN ] EuclideanLossLayerTest/1.TestForward -[ OK ] EuclideanLossLayerTest/1.TestForward (0 ms) -[----------] 2 tests from EuclideanLossLayerTest/1 (1 ms total) - -[----------] 4 tests from GaussianFillerTest/1, where TypeParam = double -[ RUN ] GaussianFillerTest/1.TestFill2D -[ OK ] GaussianFillerTest/1.TestFill2D (0 ms) -[ RUN ] GaussianFillerTest/1.TestFill5D -[ OK ] GaussianFillerTest/1.TestFill5D (1 ms) -[ RUN ] GaussianFillerTest/1.TestFill1D -[ OK ] GaussianFillerTest/1.TestFill1D (0 ms) -[ RUN ] GaussianFillerTest/1.TestFill -[ OK ] GaussianFillerTest/1.TestFill (0 ms) -[----------] 4 tests from GaussianFillerTest/1 (1 ms total) - -[----------] 10 tests from EltwiseLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] EltwiseLayerTest/0.TestSumGradient -[ OK ] EltwiseLayerTest/0.TestSumGradient (3 ms) -[ RUN ] EltwiseLayerTest/0.TestStableProdGradient -[ OK ] EltwiseLayerTest/0.TestStableProdGradient (2 ms) -[ RUN ] EltwiseLayerTest/0.TestSetUp -[ OK ] EltwiseLayerTest/0.TestSetUp (0 ms) -[ RUN ] EltwiseLayerTest/0.TestUnstableProdGradient -[ OK ] EltwiseLayerTest/0.TestUnstableProdGradient (3 ms) -[ RUN ] EltwiseLayerTest/0.TestMax -[ OK ] EltwiseLayerTest/0.TestMax (0 ms) -[ RUN ] EltwiseLayerTest/0.TestMaxGradient -[ OK ] EltwiseLayerTest/0.TestMaxGradient (3 ms) -[ RUN ] EltwiseLayerTest/0.TestSum -[ OK ] EltwiseLayerTest/0.TestSum (0 ms) -[ RUN ] EltwiseLayerTest/0.TestProd -[ OK ] EltwiseLayerTest/0.TestProd (0 ms) -[ RUN ] EltwiseLayerTest/0.TestSumCoeff -[ OK ] EltwiseLayerTest/0.TestSumCoeff (0 ms) -[ RUN ] EltwiseLayerTest/0.TestSumCoeffGradient -[ OK ] EltwiseLayerTest/0.TestSumCoeffGradient (3 ms) -[----------] 10 tests from EltwiseLayerTest/0 (14 ms total) +[----------] 12 tests from DataTransformTest/0, where TypeParam = float +[ RUN ] DataTransformTest/0.TestCropTrain +[ OK ] DataTransformTest/0.TestCropTrain (0 ms) +[ RUN ] DataTransformTest/0.TestEmptyTransform +[ OK ] DataTransformTest/0.TestEmptyTransform (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.TestMeanValue +[ OK ] DataTransformTest/0.TestMeanValue (0 ms) +[ RUN ] DataTransformTest/0.TestCropTest +[ OK ] DataTransformTest/0.TestCropTest (0 ms) +[ RUN ] DataTransformTest/0.TestCropMirrorTest +[ OK ] DataTransformTest/0.TestCropMirrorTest (0 ms) +[ RUN ] DataTransformTest/0.TestMeanFile +[ OK ] DataTransformTest/0.TestMeanFile (158 ms) +[ RUN ] DataTransformTest/0.TestEmptyTransformUniquePixels +[ OK ] DataTransformTest/0.TestEmptyTransformUniquePixels (0 ms) +[ RUN ] DataTransformTest/0.TestMirrorTest +[ OK ] DataTransformTest/0.TestMirrorTest (1 ms) +[ RUN ] DataTransformTest/0.TestCropMirrorTrain +[ OK ] DataTransformTest/0.TestCropMirrorTrain (0 ms) +[ RUN ] DataTransformTest/0.TestCropSize +[ OK ] DataTransformTest/0.TestCropSize (0 ms) +[----------] 12 tests from DataTransformTest/0 (159 ms total) -[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (49 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (10 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (10 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (51 ms) -[ RUN ] AdaGradSolverTest/1.TestSnapshotShare -[ OK ] AdaGradSolverTest/1.TestSnapshotShare (14 ms) -[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] AdaGradSolverTest/1.TestSnapshot -[ OK ] AdaGradSolverTest/1.TestSnapshot (12 ms) -[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay -[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (10 ms) -[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[----------] 9 tests from AdaGradSolverTest/1 (160 ms total) +[----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float +[ RUN ] PositiveUnitballFillerTest/0.TestFill1D +[ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill5D +[ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill2D +[ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) +[ RUN ] PositiveUnitballFillerTest/0.TestFill +[ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) +[----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) -[----------] 2 tests from BilinearFillerTest/0, where TypeParam = float -[ RUN ] BilinearFillerTest/0.TestFillOdd -[ OK ] BilinearFillerTest/0.TestFillOdd (6 ms) -[ RUN ] BilinearFillerTest/0.TestFillEven -[ OK ] BilinearFillerTest/0.TestFillEven (5 ms) -[----------] 2 tests from BilinearFillerTest/0 (11 ms total) +[----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MVNLayerTest/0.TestGradient +[ OK ] MVNLayerTest/0.TestGradient (1405 ms) +[ RUN ] MVNLayerTest/0.TestForward +[ OK ] MVNLayerTest/0.TestForward (0 ms) +[ RUN ] MVNLayerTest/0.TestGradientAcrossChannels +[ OK ] MVNLayerTest/0.TestGradientAcrossChannels (469 ms) +[ RUN ] MVNLayerTest/0.TestForwardAcrossChannels +[ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) +[ RUN ] MVNLayerTest/0.TestForwardMeanOnly +[ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) +[ RUN ] MVNLayerTest/0.TestGradientMeanOnly +[ OK ] MVNLayerTest/0.TestGradientMeanOnly (188 ms) +[----------] 6 tests from MVNLayerTest/0 (2063 ms total) -[----------] 4 tests from UniformFillerTest/1, where TypeParam = double -[ RUN ] UniformFillerTest/1.TestFill1D -[ OK ] UniformFillerTest/1.TestFill1D (0 ms) -[ RUN ] UniformFillerTest/1.TestFill2D -[ OK ] UniformFillerTest/1.TestFill2D (0 ms) -[ RUN ] UniformFillerTest/1.TestFill5D -[ OK ] UniformFillerTest/1.TestFill5D (0 ms) -[ RUN ] UniformFillerTest/1.TestFill -[ OK ] UniformFillerTest/1.TestFill (0 ms) -[----------] 4 tests from UniformFillerTest/1 (0 ms total) +[----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (103 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (6 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (44 ms) +[ RUN ] NesterovSolverTest/1.TestSnapshot +[ OK ] NesterovSolverTest/1.TestSnapshot (40 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (21 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (240 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (32 ms) +[ RUN ] NesterovSolverTest/1.TestSnapshotShare +[ OK ] NesterovSolverTest/1.TestSnapshotShare (226 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (452 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (15 ms) +[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (195 ms) +[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth +[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (52 ms) +[----------] 12 tests from NesterovSolverTest/1 (1442 ms total) -[----------] 4 tests from NetUpgradeTest -[ RUN ] NetUpgradeTest.TestSimple -[ OK ] NetUpgradeTest.TestSimple (1 ms) -[ RUN ] NetUpgradeTest.TestUpgradeV1LayerType -[ OK ] NetUpgradeTest.TestUpgradeV1LayerType (36 ms) -[ RUN ] NetUpgradeTest.TestImageNet -[ OK ] NetUpgradeTest.TestImageNet (1 ms) -[ RUN ] NetUpgradeTest.TestAllParams -[ OK ] NetUpgradeTest.TestAllParams (1 ms) -[----------] 4 tests from NetUpgradeTest (39 ms total) +[----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (22 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (200 ms) +[ RUN ] NesterovSolverTest/0.TestSnapshot +[ OK ] NesterovSolverTest/0.TestSnapshot (58 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (72 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (17 ms) +[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (5 ms) +[ RUN ] NesterovSolverTest/0.TestSnapshotShare +[ OK ] NesterovSolverTest/0.TestSnapshotShare (112 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (213 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (186 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (192 ms) +[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay +[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (50 ms) +[----------] 12 tests from NesterovSolverTest/0 (1159 ms total) -[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (3 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB -[ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (15 ms) -[ RUN ] DataLayerTest/1.TestReadCropTestLMDB -[ OK ] DataLayerTest/1.TestReadCropTestLMDB (4 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (21 ms) -[ RUN ] DataLayerTest/1.TestReadLMDB -[ OK ] DataLayerTest/1.TestReadLMDB (4 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainLMDB -[ OK ] DataLayerTest/1.TestReadCropTrainLMDB (3 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (3 ms) -[ RUN ] DataLayerTest/1.TestSkipLMDB -[ OK ] DataLayerTest/1.TestSkipLMDB (6 ms) -[ RUN ] DataLayerTest/1.TestReshapeLevelDB -[ OK ] DataLayerTest/1.TestReshapeLevelDB (15 ms) -[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB -[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (21 ms) -[ RUN ] DataLayerTest/1.TestReshapeLMDB -[ OK ] DataLayerTest/1.TestReshapeLMDB (3 ms) -[ RUN ] DataLayerTest/1.TestReadCropTestLevelDB -[ OK ] DataLayerTest/1.TestReadCropTestLevelDB (14 ms) -[ RUN ] DataLayerTest/1.TestSkipLevelDB -[ OK ] DataLayerTest/1.TestSkipLevelDB (66 ms) -[ RUN ] DataLayerTest/1.TestReadLevelDB -[ OK ] DataLayerTest/1.TestReadLevelDB (18 ms) -[----------] 14 tests from DataLayerTest/1 (199 ms total) +[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] RNNLayerTest/0.TestSetUp +[ OK ] RNNLayerTest/0.TestSetUp (2 ms) +[ RUN ] RNNLayerTest/0.TestForward +[ OK ] RNNLayerTest/0.TestForward (23 ms) +[ RUN ] RNNLayerTest/0.TestGradient +[ OK ] RNNLayerTest/0.TestGradient (341 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 +[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (516 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (2864 ms) +[ RUN ] RNNLayerTest/0.TestGradientNonZeroCont +[ OK ] RNNLayerTest/0.TestGradientNonZeroCont (227 ms) +[----------] 6 tests from RNNLayerTest/0 (3990 ms total) -[----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes -[ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis -[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) -[ RUN ] ReshapeLayerTest/1.TestFlattenValues -[ OK ] ReshapeLayerTest/1.TestFlattenValues (0 ms) -[ RUN ] ReshapeLayerTest/1.TestCopyDimensions -[ OK ] ReshapeLayerTest/1.TestCopyDimensions (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) -[ RUN ] ReshapeLayerTest/1.TestForward -[ OK ] ReshapeLayerTest/1.TestForward (0 ms) -[ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape -[ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) -[ RUN ] ReshapeLayerTest/1.TestGradient -[ OK ] ReshapeLayerTest/1.TestGradient (2 ms) -[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified -[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) -[ RUN ] ReshapeLayerTest/1.TestFlattenMiddle -[ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) -[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart -[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) -[----------] 12 tests from ReshapeLayerTest/1 (3 ms total) +[----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] FilterLayerTest/1.TestReshape +[ OK ] FilterLayerTest/1.TestReshape (0 ms) +[ RUN ] FilterLayerTest/1.TestForward +[ OK ] FilterLayerTest/1.TestForward (0 ms) +[ RUN ] FilterLayerTest/1.TestGradient +[ OK ] FilterLayerTest/1.TestGradient (802 ms) +[----------] 3 tests from FilterLayerTest/1 (808 ms total) -[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ScaleLayerTest/1.TestForwardEltwise -[ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace -[ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientEltwise -[ OK ] ScaleLayerTest/1.TestGradientEltwise (4 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd -[ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 -[ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 -[ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (56 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle -[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (76 ms) -[ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias -[ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (66 ms) -[ RUN ] ScaleLayerTest/1.TestForwardScale -[ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin -[ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (1 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin -[ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (62 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd -[ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (124 ms) -[ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam -[ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (213 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) -[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (1 ms) -[ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (78 ms) -[ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace -[ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/1.TestGradientScale -[ OK ] ScaleLayerTest/1.TestGradientScale (56 ms) -[ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam -[ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) -[----------] 22 tests from ScaleLayerTest/1 (737 ms total) +[----------] 2 tests from 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 (2 ms total) -[----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] HingeLossLayerTest/0.TestGradientL1 -[ OK ] HingeLossLayerTest/0.TestGradientL1 (1 ms) -[ RUN ] HingeLossLayerTest/0.TestGradientL2 -[ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) -[----------] 2 tests from HingeLossLayerTest/0 (1 ms total) +[----------] 3 tests from PaddingLayerUpgradeTest +[ RUN ] PaddingLayerUpgradeTest.TestSimple +[ OK ] PaddingLayerUpgradeTest.TestSimple (1 ms) +[ RUN ] PaddingLayerUpgradeTest.TestImageNet +[ OK ] PaddingLayerUpgradeTest.TestImageNet (3 ms) +[ RUN ] PaddingLayerUpgradeTest.TestTwoTops +[ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) +[----------] 3 tests from PaddingLayerUpgradeTest (11 ms total) -[----------] 12 tests from DataTransformTest/1, where TypeParam = double -[ RUN ] DataTransformTest/1.TestMirrorTrain -[ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) -[ RUN ] DataTransformTest/1.TestMeanValues -[ OK ] DataTransformTest/1.TestMeanValues (0 ms) -[ RUN ] DataTransformTest/1.TestMirrorTest -[ OK ] DataTransformTest/1.TestMirrorTest (0 ms) -[ RUN ] DataTransformTest/1.TestEmptyTransform -[ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) -[ RUN ] DataTransformTest/1.TestMeanValue -[ OK ] DataTransformTest/1.TestMeanValue (0 ms) -[ RUN ] DataTransformTest/1.TestCropMirrorTrain -[ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) -[ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels -[ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) -[ RUN ] DataTransformTest/1.TestCropMirrorTest -[ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) -[ RUN ] DataTransformTest/1.TestMeanFile -[ OK ] DataTransformTest/1.TestMeanFile (1 ms) -[ RUN ] DataTransformTest/1.TestCropSize -[ OK ] DataTransformTest/1.TestCropSize (0 ms) -[ RUN ] DataTransformTest/1.TestCropTrain -[ OK ] DataTransformTest/1.TestCropTrain (0 ms) -[ RUN ] DataTransformTest/1.TestCropTest -[ OK ] DataTransformTest/1.TestCropTest (0 ms) -[----------] 12 tests from DataTransformTest/1 (1 ms total) +[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ConcatLayerTest/1.TestForwardNum +[ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientTrivial +[ OK ] ConcatLayerTest/1.TestGradientTrivial (4 ms) +[ RUN ] ConcatLayerTest/1.TestSetupChannels +[ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) +[ RUN ] ConcatLayerTest/1.TestForwardTrivial +[ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) +[ RUN ] ConcatLayerTest/1.TestSetupNum +[ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) +[ RUN ] ConcatLayerTest/1.TestForwardChannels +[ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) +[ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing +[ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) +[ RUN ] ConcatLayerTest/1.TestGradientChannels +[ OK ] ConcatLayerTest/1.TestGradientChannels (15 ms) +[ RUN ] ConcatLayerTest/1.TestGradientNum +[ OK ] ConcatLayerTest/1.TestGradientNum (14 ms) +[ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly +[ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (8 ms) +[----------] 10 tests from ConcatLayerTest/1 (71 ms total) [----------] 6 tests from XavierFillerTest/0, where TypeParam = float +[ RUN ] XavierFillerTest/0.TestFillFanOut +[ OK ] XavierFillerTest/0.TestFillFanOut (113 ms) +[ RUN ] XavierFillerTest/0.TestFill5D +[ OK ] XavierFillerTest/0.TestFill5D (0 ms) [ RUN ] XavierFillerTest/0.TestFillFanIn -[ OK ] XavierFillerTest/0.TestFillFanIn (21 ms) -[ RUN ] XavierFillerTest/0.TestFill2D -[ OK ] XavierFillerTest/0.TestFill2D (0 ms) +[ OK ] XavierFillerTest/0.TestFillFanIn (67 ms) [ RUN ] XavierFillerTest/0.TestFillAverage -[ OK ] XavierFillerTest/0.TestFillAverage (22 ms) -[ RUN ] XavierFillerTest/0.TestFillFanOut -[ OK ] XavierFillerTest/0.TestFillFanOut (22 ms) +[ OK ] XavierFillerTest/0.TestFillAverage (98 ms) [ RUN ] XavierFillerTest/0.TestFill1D [ OK ] XavierFillerTest/0.TestFill1D (0 ms) -[ RUN ] XavierFillerTest/0.TestFill5D -[ OK ] XavierFillerTest/0.TestFill5D (0 ms) -[----------] 6 tests from XavierFillerTest/0 (65 ms total) - -[----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] PoolingLayerTest/1.TestSetup -[ OK ] PoolingLayerTest/1.TestSetup (0 ms) -[ RUN ] PoolingLayerTest/1.TestGradientAve -[ OK ] PoolingLayerTest/1.TestGradientAve (150 ms) -[ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask -[ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) -[ RUN ] PoolingLayerTest/1.TestGradientAvePadded -[ OK ] PoolingLayerTest/1.TestGradientAvePadded (555 ms) -[ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling -[ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) -[ RUN ] PoolingLayerTest/1.TestForwardAve -[ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) -[ RUN ] PoolingLayerTest/1.TestForwardMaxPadded -[ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) -[ RUN ] PoolingLayerTest/1.TestGradientMax -[ OK ] PoolingLayerTest/1.TestGradientMax (423 ms) -[ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask -[ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (378 ms) -[ RUN ] PoolingLayerTest/1.TestForwardMax -[ OK ] PoolingLayerTest/1.TestForwardMax (0 ms) -[ RUN ] PoolingLayerTest/1.TestSetupPadded -[ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) -[----------] 11 tests from PoolingLayerTest/1 (1506 ms total) - -[----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ImageDataLayerTest/1.TestResize -[ OK ] ImageDataLayerTest/1.TestResize (81 ms) -[ RUN ] ImageDataLayerTest/1.TestRead -[ OK ] ImageDataLayerTest/1.TestRead (109 ms) -[ RUN ] ImageDataLayerTest/1.TestShuffle -[ OK ] ImageDataLayerTest/1.TestShuffle (103 ms) -[ RUN ] ImageDataLayerTest/1.TestReshape -[ OK ] ImageDataLayerTest/1.TestReshape (29 ms) -[ RUN ] ImageDataLayerTest/1.TestSpace -[ OK ] ImageDataLayerTest/1.TestSpace (29 ms) -[----------] 5 tests from ImageDataLayerTest/1 (351 ms total) - -[----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float -[ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal -[ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetupAxis -[ OK ] ArgMaxLayerTest/0.TestSetupAxis (0 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK -[ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (23 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPU -[ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal -[ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (0 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK -[ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (23 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUTopK -[ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetup -[ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) -[ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing -[ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (0 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal -[ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUAxis -[ OK ] ArgMaxLayerTest/0.TestCPUAxis (5 ms) -[ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK -[ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (0 ms) -[----------] 12 tests from ArgMaxLayerTest/0 (57 ms total) - -[----------] 3 tests from SyncedMemoryTest -[ RUN ] SyncedMemoryTest.TestCPUWrite -[ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) -[ RUN ] SyncedMemoryTest.TestInitialization -[ OK ] SyncedMemoryTest.TestInitialization (0 ms) -[ RUN ] SyncedMemoryTest.TestAllocationCPU -[ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) -[----------] 3 tests from SyncedMemoryTest (0 ms total) +[ RUN ] XavierFillerTest/0.TestFill2D +[ OK ] XavierFillerTest/0.TestFill2D (0 ms) +[----------] 6 tests from XavierFillerTest/0 (281 ms total) -[----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB -[ RUN ] DBTest/1.TestNext -[ OK ] DBTest/1.TestNext (756 ms) -[ RUN ] DBTest/1.TestKeyValue -[ OK ] DBTest/1.TestKeyValue (643 ms) -[ RUN ] DBTest/1.TestSeekToFirst -[ OK ] DBTest/1.TestSeekToFirst (287 ms) -[ RUN ] DBTest/1.TestGetDB -[ OK ] DBTest/1.TestGetDB (787 ms) -[ RUN ] DBTest/1.TestWrite -[ OK ] DBTest/1.TestWrite (1287 ms) -[----------] 5 tests from DBTest/1 (3760 ms total) +[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ContrastiveLossLayerTest/0.TestGradient +[ OK ] ContrastiveLossLayerTest/0.TestGradient (249 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestForward +[ OK ] ContrastiveLossLayerTest/0.TestForward (0 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy +[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (237 ms) +[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy +[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (0 ms) +[----------] 4 tests from ContrastiveLossLayerTest/0 (492 ms total) -[----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SolverTest/0.TestInitTrainTestNets -[ OK ] SolverTest/0.TestInitTrainTestNets (1 ms) -[----------] 1 test from SolverTest/0 (2 ms total) +[----------] 6 tests from MSRAFillerTest/0, where TypeParam = float +[ RUN ] MSRAFillerTest/0.TestFillFanOut +[ OK ] MSRAFillerTest/0.TestFillFanOut (73 ms) +[ RUN ] MSRAFillerTest/0.TestFill1D +[ OK ] MSRAFillerTest/0.TestFill1D (0 ms) +[ RUN ] MSRAFillerTest/0.TestFill2D +[ OK ] MSRAFillerTest/0.TestFill2D (0 ms) +[ RUN ] MSRAFillerTest/0.TestFillFanIn +[ OK ] MSRAFillerTest/0.TestFillFanIn (69 ms) +[ RUN ] MSRAFillerTest/0.TestFill5D +[ OK ] MSRAFillerTest/0.TestFill5D (0 ms) +[ RUN ] MSRAFillerTest/0.TestFillAverage +[ OK ] MSRAFillerTest/0.TestFillAverage (70 ms) +[----------] 6 tests from MSRAFillerTest/0 (214 ms total) -[----------] 4 tests from UniformFillerTest/0, where TypeParam = float -[ RUN ] UniformFillerTest/0.TestFill -[ OK ] UniformFillerTest/0.TestFill (0 ms) -[ RUN ] UniformFillerTest/0.TestFill2D -[ OK ] UniformFillerTest/0.TestFill2D (0 ms) -[ RUN ] UniformFillerTest/0.TestFill5D -[ OK ] UniformFillerTest/0.TestFill5D (0 ms) -[ RUN ] UniformFillerTest/0.TestFill1D -[ OK ] UniformFillerTest/0.TestFill1D (0 ms) -[----------] 4 tests from UniformFillerTest/0 (0 ms total) +[----------] 4 tests from BlobSimpleTest/1, where TypeParam = double +[ RUN ] BlobSimpleTest/1.TestReshapeZero +[ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) +[ RUN ] BlobSimpleTest/1.TestReshape +[ OK ] BlobSimpleTest/1.TestReshape (0 ms) +[ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals +[ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) +[ RUN ] BlobSimpleTest/1.TestInitialization +[ OK ] BlobSimpleTest/1.TestInitialization (0 ms) +[----------] 4 tests from BlobSimpleTest/1 (1 ms total) -[----------] 11 tests from RandomNumberGeneratorTest/0, where TypeParam = float -[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian -[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform -[ OK ] RandomNumberGeneratorTest/0.TestRngUniform (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniform2 -[ OK ] RandomNumberGeneratorTest/0.TestRngUniform2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian -[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesGaussian (1 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulli2 -[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulli2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform -[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesUniform (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussian2 -[ OK ] RandomNumberGeneratorTest/0.TestRngGaussian2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngGaussianTimesBernoulli (1 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngUniformTimesBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli -[ OK ] RandomNumberGeneratorTest/0.TestRngBernoulliTimesBernoulli (0 ms) -[----------] 11 tests from RandomNumberGeneratorTest/0 (2 ms total) +[----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] FlattenLayerTest/0.TestGradient +[ OK ] FlattenLayerTest/0.TestGradient (4 ms) +[ RUN ] FlattenLayerTest/0.TestForward +[ OK ] FlattenLayerTest/0.TestForward (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithAxis +[ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetup +[ OK ] FlattenLayerTest/0.TestSetup (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis +[ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) +[ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis +[ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) +[----------] 6 tests from FlattenLayerTest/0 (9 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.TestSumOfSquares +[ OK ] BlobMathTest/1.TestSumOfSquares (0 ms) [ RUN ] BlobMathTest/1.TestScaleData [ OK ] BlobMathTest/1.TestScaleData (0 ms) [----------] 3 tests from BlobMathTest/1 (0 ms total) -[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LayerFactoryTest/0.TestCreateLayer -[ OK ] LayerFactoryTest/0.TestCreateLayer (326 ms) -[----------] 1 test from LayerFactoryTest/0 (326 ms total) +[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxLayerTest/0.TestForward +[ OK ] SoftmaxLayerTest/0.TestForward (1 ms) +[ RUN ] SoftmaxLayerTest/0.TestGradient +[ OK ] SoftmaxLayerTest/0.TestGradient (303 ms) +[----------] 2 tests from SoftmaxLayerTest/0 (304 ms total) + +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestGradient (1 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestSigmoidCrossEntropyLoss (3 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/1.TestIgnoreGradient (0 ms) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/1 (4 ms total) [----------] 5 tests from SPPLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SPPLayerTest/0.TestEqualOutputDims2 +[ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) [ RUN ] SPPLayerTest/0.TestEqualOutputDims [ OK ] SPPLayerTest/0.TestEqualOutputDims (0 ms) [ RUN ] SPPLayerTest/0.TestGradient -[ OK ] SPPLayerTest/0.TestGradient (1169 ms) +[ OK ] SPPLayerTest/0.TestGradient (4113 ms) [ RUN ] SPPLayerTest/0.TestForwardBackward -[ OK ] SPPLayerTest/0.TestForwardBackward (1 ms) -[ RUN ] SPPLayerTest/0.TestEqualOutputDims2 -[ OK ] SPPLayerTest/0.TestEqualOutputDims2 (0 ms) +[ OK ] SPPLayerTest/0.TestForwardBackward (0 ms) [ RUN ] SPPLayerTest/0.TestSetup [ OK ] SPPLayerTest/0.TestSetup (0 ms) -[----------] 5 tests from SPPLayerTest/0 (1170 ms total) - -[----------] 26 tests from IOTest -[ RUN ] IOTest.TestReadImageToDatumReference -[ OK ] IOTest.TestReadImageToDatumReference (8 ms) -[ RUN ] IOTest.TestReadImageToDatumResized -[ OK ] IOTest.TestReadImageToDatumResized (4 ms) -[ RUN ] IOTest.TestReadImageToCVMat -[ OK ] IOTest.TestReadImageToCVMat (2 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMat -[ OK ] IOTest.TestDecodeDatumToCVMat (5 ms) -[ RUN ] IOTest.TestReadFileToDatum -[ OK ] IOTest.TestReadFileToDatum (0 ms) -[ RUN ] IOTest.TestReadImageToDatumResizedGray -[ OK ] IOTest.TestReadImageToDatumResizedGray (2 ms) -[ RUN ] IOTest.TestReadImageToCVMatResizedGray -[ OK ] IOTest.TestReadImageToCVMatResizedGray (2 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatContent -[ OK ] IOTest.TestDecodeDatumToCVMatContent (9 ms) -[ RUN ] IOTest.TestReadImageToDatumGray -[ OK ] IOTest.TestReadImageToDatumGray (2 ms) -[ RUN ] IOTest.TestReadImageToCVMatResizedSquare -[ OK ] IOTest.TestReadImageToCVMatResizedSquare (4 ms) -[ RUN ] IOTest.TestDecodeDatumNative -[ OK ] IOTest.TestDecodeDatumNative (8 ms) -[ RUN ] IOTest.TestReadImageToCVMatResized -[ OK ] IOTest.TestReadImageToCVMatResized (3 ms) -[ RUN ] IOTest.TestReadImageToDatumResizedSquare -[ OK ] IOTest.TestReadImageToDatumResizedSquare (3 ms) -[ RUN ] IOTest.TestReadImageToDatumContentGray -[ OK ] IOTest.TestReadImageToDatumContentGray (5 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatNative -[ OK ] IOTest.TestDecodeDatumToCVMatNative (3 ms) -[ RUN ] IOTest.TestDecodeDatumNativeGray -[ OK ] IOTest.TestDecodeDatumNativeGray (4 ms) -[ RUN ] IOTest.TestReadImageToDatumContent -[ OK ] IOTest.TestReadImageToDatumContent (7 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray -[ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (2 ms) -[ RUN ] IOTest.TestCVMatToDatumContent -[ OK ] IOTest.TestCVMatToDatumContent (7 ms) -[ RUN ] IOTest.TestDecodeDatum -[ OK ] IOTest.TestDecodeDatum (9 ms) -[ RUN ] IOTest.TestReadImageToCVMatGray -[ OK ] IOTest.TestReadImageToCVMatGray (2 ms) -[ RUN ] IOTest.TestReadImageToDatum -[ OK ] IOTest.TestReadImageToDatum (3 ms) -[ RUN ] IOTest.TestReadImageToDatumReferenceResized -[ OK ] IOTest.TestReadImageToDatumReferenceResized (6 ms) -[ RUN ] IOTest.TestDecodeDatumToCVMatContentNative -[ OK ] IOTest.TestDecodeDatumToCVMatContentNative (9 ms) -[ RUN ] IOTest.TestCVMatToDatumReference -[ OK ] IOTest.TestCVMatToDatumReference (8 ms) -[ RUN ] IOTest.TestCVMatToDatum -[ OK ] IOTest.TestCVMatToDatum (4 ms) -[----------] 26 tests from IOTest (121 ms total) - -[----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxLayerTest/1.TestForward -[ OK ] SoftmaxLayerTest/1.TestForward (0 ms) -[ RUN ] SoftmaxLayerTest/1.TestGradient -[ OK ] SoftmaxLayerTest/1.TestGradient (110 ms) -[----------] 2 tests from SoftmaxLayerTest/1 (110 ms total) - -[----------] 8 tests from AdamSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AdamSolverTest/1.TestSnapshot -[ OK ] AdamSolverTest/1.TestSnapshot (14 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverythingShare (52 ms) -[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] AdamSolverTest/1.TestSnapshotShare -[ OK ] AdamSolverTest/1.TestSnapshotShare (16 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithWeightDecay (10 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdate -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdate (10 ms) -[ RUN ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdamSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything -[ OK ] AdamSolverTest/1.TestAdamLeastSquaresUpdateWithEverything (49 ms) -[----------] 8 tests from AdamSolverTest/1 (155 ms total) +[----------] 5 tests from SPPLayerTest/0 (4115 ms total) -[----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope -[ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (2 ms) -[ RUN ] NeuronLayerTest/0.TestClip -[ OK ] NeuronLayerTest/0.TestClip (0 ms) -[ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope -[ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (1 ms) -[ RUN ] NeuronLayerTest/0.TestSwish -[ OK ] NeuronLayerTest/0.TestSwish (0 ms) -[ RUN ] NeuronLayerTest/0.TestELUasReLUGradient -[ OK ] NeuronLayerTest/0.TestELUasReLUGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient -[ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestTanHGradient -[ OK ] NeuronLayerTest/0.TestTanHGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUInPlace -[ OK ] NeuronLayerTest/0.TestPReLUInPlace (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient -[ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestAbsGradient -[ OK ] NeuronLayerTest/0.TestAbsGradient (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwishGradient -[ OK ] NeuronLayerTest/0.TestSwishGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestELUGradient -[ OK ] NeuronLayerTest/0.TestELUGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradient -[ OK ] NeuronLayerTest/0.TestExpGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestReLUGradient -[ OK ] NeuronLayerTest/0.TestReLUGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientWithShift -[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (1 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2 (1 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/0.TestSigmoidGradient -[ OK ] NeuronLayerTest/0.TestSigmoidGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (2 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutHalf -[ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) -[ RUN ] NeuronLayerTest/0.TestBNLL -[ OK ] NeuronLayerTest/0.TestBNLL (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwishWithBeta -[ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (1 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared -[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradient -[ OK ] NeuronLayerTest/0.TestLogGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestELUasReLU -[ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUParam -[ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) -[ RUN ] NeuronLayerTest/0.TestSigmoid -[ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (2 ms) -[ RUN ] NeuronLayerTest/0.TestReLU -[ OK ] NeuronLayerTest/0.TestReLU (0 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutGradientTest -[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (1 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters -[ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (1 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared -[ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (86 ms) -[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 -[ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (1 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutGradient -[ OK ] NeuronLayerTest/0.TestDropoutGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU -[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) -[ RUN ] NeuronLayerTest/0.TestTanH -[ OK ] NeuronLayerTest/0.TestTanH (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogGradientBase2 -[ OK ] NeuronLayerTest/0.TestLogGradientBase2 (2 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayer -[ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerWithShift -[ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) -[ RUN ] NeuronLayerTest/0.TestAbsVal -[ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) -[ RUN ] NeuronLayerTest/0.TestClipGradient -[ OK ] NeuronLayerTest/0.TestClipGradient (1 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUGradient -[ OK ] NeuronLayerTest/0.TestPReLUGradient (87 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayerBase2 -[ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/0.TestPReLUForward -[ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) -[ RUN ] NeuronLayerTest/0.TestSwishAsLinear -[ OK ] NeuronLayerTest/0.TestSwishAsLinear (0 ms) -[ RUN ] NeuronLayerTest/0.TestDropoutTestPhase -[ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) -[ RUN ] NeuronLayerTest/0.TestLogLayer -[ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) -[ RUN ] NeuronLayerTest/0.TestELU -[ OK ] NeuronLayerTest/0.TestELU (0 ms) -[ RUN ] NeuronLayerTest/0.TestBNLLGradient -[ OK ] NeuronLayerTest/0.TestBNLLGradient (2 ms) -[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 -[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) -[----------] 58 tests from NeuronLayerTest/0 (210 ms total) - -[----------] 1 test from ProtoTest -[ RUN ] ProtoTest.TestSerialization -Printing in binary format. - -testTest -Printing in text format. -name: "test" -type: "Test" - -[ OK ] ProtoTest.TestSerialization (0 ms) -[----------] 1 test from ProtoTest (0 ms total) - -[----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SliceLayerTest/1.TestTrivialSlice -[ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) -[ RUN ] SliceLayerTest/1.TestGradientAcrossNum -[ OK ] SliceLayerTest/1.TestGradientAcrossNum (24 ms) -[ RUN ] SliceLayerTest/1.TestSetupNum -[ OK ] SliceLayerTest/1.TestSetupNum (1 ms) -[ RUN ] SliceLayerTest/1.TestSliceAcrossNum -[ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) -[ RUN ] SliceLayerTest/1.TestSliceAcrossChannels -[ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) -[ RUN ] SliceLayerTest/1.TestSetupChannels -[ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) -[ RUN ] SliceLayerTest/1.TestGradientTrivial -[ OK ] SliceLayerTest/1.TestGradientTrivial (7 ms) -[ RUN ] SliceLayerTest/1.TestGradientAcrossChannels -[ OK ] SliceLayerTest/1.TestGradientAcrossChannels (27 ms) -[----------] 8 tests from SliceLayerTest/1 (59 ms total) - -[----------] 6 tests from MSRAFillerTest/0, where TypeParam = float -[ RUN ] MSRAFillerTest/0.TestFillFanIn -[ OK ] MSRAFillerTest/0.TestFillFanIn (38 ms) -[ RUN ] MSRAFillerTest/0.TestFill2D -[ OK ] MSRAFillerTest/0.TestFill2D (0 ms) -[ RUN ] MSRAFillerTest/0.TestFillFanOut -[ OK ] MSRAFillerTest/0.TestFillFanOut (39 ms) -[ RUN ] MSRAFillerTest/0.TestFill1D -[ OK ] MSRAFillerTest/0.TestFill1D (0 ms) -[ RUN ] MSRAFillerTest/0.TestFillAverage -[ OK ] MSRAFillerTest/0.TestFillAverage (38 ms) -[ RUN ] MSRAFillerTest/0.TestFill5D -[ OK ] MSRAFillerTest/0.TestFill5D (0 ms) -[----------] 6 tests from MSRAFillerTest/0 (115 ms total) - -[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (47 ms) -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (49 ms) -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (46 ms) -[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) -[ RUN ] RMSPropSolverTest/1.TestSnapshot -[ OK ] RMSPropSolverTest/1.TestSnapshot (13 ms) -[ RUN ] RMSPropSolverTest/1.TestSnapshotShare -[ OK ] RMSPropSolverTest/1.TestSnapshotShare (18 ms) -[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay -[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (9 ms) -[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (4 ms) -[----------] 8 tests from RMSPropSolverTest/1 (189 ms total) +[----------] 6 tests from RNNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] RNNLayerTest/1.TestForward +[ OK ] RNNLayerTest/1.TestForward (6 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1145 ms) +[ RUN ] RNNLayerTest/1.TestGradient +[ OK ] RNNLayerTest/1.TestGradient (125 ms) +[ RUN ] RNNLayerTest/1.TestSetUp +[ OK ] RNNLayerTest/1.TestSetUp (97 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroCont +[ OK ] RNNLayerTest/1.TestGradientNonZeroCont (142 ms) +[ RUN ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 +[ OK ] RNNLayerTest/1.TestGradientNonZeroContBufferSize2 (501 ms) +[----------] 6 tests from RNNLayerTest/1 (2025 ms total) -[----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] MaxPoolingDropoutTest/0.TestForward -[ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) -[ RUN ] MaxPoolingDropoutTest/0.TestSetup -[ OK ] MaxPoolingDropoutTest/0.TestSetup (0 ms) -[ RUN ] MaxPoolingDropoutTest/0.TestBackward -[ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) -[----------] 3 tests from MaxPoolingDropoutTest/0 (1 ms total) +[----------] 20 tests from BiasLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BiasLayerTest/0.TestGradientEltwise +[ OK ] BiasLayerTest/0.TestGradientEltwise (5 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwiseWithParam +[ OK ] BiasLayerTest/0.TestForwardEltwiseWithParam (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastBegin +[ OK ] BiasLayerTest/0.TestForwardBroadcastBegin (1 ms) +[ RUN ] BiasLayerTest/0.TestForwardBias +[ OK ] BiasLayerTest/0.TestForwardBias (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwise +[ OK ] BiasLayerTest/0.TestForwardEltwise (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddleWithParam (1 ms) +[ RUN ] BiasLayerTest/0.TestGradientBias +[ OK ] BiasLayerTest/0.TestGradientBias (113 ms) +[ RUN ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam +[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddleWithParam (124 ms) +[ RUN ] BiasLayerTest/0.TestGradientEltwiseWithParam +[ OK ] BiasLayerTest/0.TestGradientEltwiseWithParam (277 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastMiddle +[ OK ] BiasLayerTest/0.TestGradientBroadcastMiddle (142 ms) +[ RUN ] BiasLayerTest/0.TestBackwardEltwiseInPlace +[ OK ] BiasLayerTest/0.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastEnd +[ OK ] BiasLayerTest/0.TestForwardBroadcastEnd (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardBroadcastMiddle +[ OK ] BiasLayerTest/0.TestForwardBroadcastMiddle (1 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastEnd +[ OK ] BiasLayerTest/0.TestGradientBroadcastEnd (185 ms) +[ RUN ] BiasLayerTest/0.TestGradientBroadcastBegin +[ OK ] BiasLayerTest/0.TestGradientBroadcastBegin (145 ms) +[ RUN ] BiasLayerTest/0.TestGradientBiasAxis2 +[ OK ] BiasLayerTest/0.TestGradientBiasAxis2 (124 ms) +[ RUN ] BiasLayerTest/0.TestForwardBiasAxis2 +[ OK ] BiasLayerTest/0.TestForwardBiasAxis2 (0 ms) +[ RUN ] BiasLayerTest/0.TestForwardEltwiseInPlace +[ OK ] BiasLayerTest/0.TestForwardEltwiseInPlace (0 ms) +[----------] 20 tests from BiasLayerTest/0 (1121 ms total) -[----------] 2 tests from HingeLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] HingeLossLayerTest/1.TestGradientL2 -[ OK ] HingeLossLayerTest/1.TestGradientL2 (0 ms) -[ RUN ] HingeLossLayerTest/1.TestGradientL1 -[ OK ] HingeLossLayerTest/1.TestGradientL1 (0 ms) -[----------] 2 tests from HingeLossLayerTest/1 (0 ms total) +[----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ReshapeLayerTest/0.TestCopyDimensions +[ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) +[ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape +[ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenMiddle +[ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis +[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) +[ RUN ] ReshapeLayerTest/0.TestForward +[ OK ] ReshapeLayerTest/0.TestForward (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (0 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenValues +[ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) +[ RUN ] ReshapeLayerTest/0.TestGradient +[ OK ] ReshapeLayerTest/0.TestGradient (4 ms) +[ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes +[ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle +[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) +[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified +[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) +[----------] 12 tests from ReshapeLayerTest/0 (5 ms total) [----------] 12 tests from SGDSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (17 ms) -[ RUN ] SGDSolverTest/0.TestSnapshot -[ OK ] SGDSolverTest/0.TestSnapshot (10 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (9 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (45 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (17 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (68 ms) -[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (70 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (14 ms) +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateLROneHundredth (266 ms) [ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (72 ms) +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (629 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecayMultiIter (659 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingShare (388 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithWeightDecay (72 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) +[ RUN ] SGDSolverTest/0.TestSnapshot +[ OK ] SGDSolverTest/0.TestSnapshot (32 ms) [ RUN ] SGDSolverTest/0.TestSnapshotShare -[ OK ] SGDSolverTest/0.TestSnapshotShare (24 ms) -[----------] 12 tests from SGDSolverTest/0 (352 ms total) +[ OK ] SGDSolverTest/0.TestSnapshotShare (316 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithEverything (226 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdate +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdate (59 ms) +[ RUN ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum +[ OK ] SGDSolverTest/0.TestLeastSquaresUpdateWithMomentum (52 ms) +[----------] 12 tests from SGDSolverTest/0 (2730 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) -[ RUN ] ThresholdLayerTest/1.TestSetup -[ OK ] ThresholdLayerTest/1.TestSetup (0 ms) [----------] 3 tests from ThresholdLayerTest/1 (1 ms total) -[----------] 3 tests from DummyDataLayerTest/0, where TypeParam = float -[ RUN ] DummyDataLayerTest/0.TestTwoTopConstant -[ OK ] DummyDataLayerTest/0.TestTwoTopConstant (0 ms) -[ RUN ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant -[ OK ] DummyDataLayerTest/0.TestThreeTopConstantGaussianConstant (0 ms) -[ RUN ] DummyDataLayerTest/0.TestOneTopConstant -[ OK ] DummyDataLayerTest/0.TestOneTopConstant (0 ms) -[----------] 3 tests from DummyDataLayerTest/0 (1 ms total) +[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradient +[ OK ] SoftmaxWithLossLayerTest/0.TestGradient (9 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (15 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized +[ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (14 ms) +[ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel +[ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (1 ms) +[----------] 4 tests from SoftmaxWithLossLayerTest/0 (46 ms total) + +[----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] PoolingLayerTest/0.TestGradientMax +[ OK ] PoolingLayerTest/0.TestGradientMax (1250 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMaxPadded +[ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetupPadded +[ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask +[ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) +[ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask +[ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (1004 ms) +[ RUN ] PoolingLayerTest/0.TestGradientAvePadded +[ OK ] PoolingLayerTest/0.TestGradientAvePadded (1519 ms) +[ RUN ] PoolingLayerTest/0.TestForwardAve +[ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetup +[ OK ] PoolingLayerTest/0.TestSetup (0 ms) +[ RUN ] PoolingLayerTest/0.TestForwardMax +[ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) +[ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling +[ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) +[ RUN ] PoolingLayerTest/0.TestGradientAve +[ OK ] PoolingLayerTest/0.TestGradientAve (519 ms) +[----------] 11 tests from PoolingLayerTest/0 (4303 ms total) + +[----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] CropLayerTest/1.TestSetupShapeAll +[ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) +[ RUN ] CropLayerTest/1.TestCropAll +[ OK ] CropLayerTest/1.TestCropAll (0 ms) +[ RUN ] CropLayerTest/1.TestCropAllGradient +[ OK ] CropLayerTest/1.TestCropAllGradient (498 ms) +[ RUN ] CropLayerTest/1.TestCrop5D +[ OK ] CropLayerTest/1.TestCrop5D (0 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing +[ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (1 ms) +[ RUN ] CropLayerTest/1.TestCrop5DGradient +[ OK ] CropLayerTest/1.TestCrop5DGradient (2039 ms) +[ RUN ] CropLayerTest/1.TestCropHW +[ OK ] CropLayerTest/1.TestCropHW (0 ms) +[ RUN ] CropLayerTest/1.TestCropHWGradient +[ OK ] CropLayerTest/1.TestCropHWGradient (493 ms) +[ RUN ] CropLayerTest/1.TestDimensionsCheck +[ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) +[ RUN ] CropLayerTest/1.TestSetupShapeDefault +[ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) +[ RUN ] CropLayerTest/1.TestCropAllOffset +[ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) +[----------] 11 tests from CropLayerTest/1 (3038 ms total) + +[----------] 2 tests from SoftmaxLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SoftmaxLayerTest/1.TestGradient +[ OK ] SoftmaxLayerTest/1.TestGradient (248 ms) +[ RUN ] SoftmaxLayerTest/1.TestForward +[ OK ] SoftmaxLayerTest/1.TestForward (0 ms) +[----------] 2 tests from SoftmaxLayerTest/1 (249 ms total) + +[----------] 12 tests from ArgMaxLayerTest/0, where TypeParam = float +[ RUN ] ArgMaxLayerTest/0.TestSetupAxisMaxVal +[ OK ] ArgMaxLayerTest/0.TestSetupAxisMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing +[ OK ] ArgMaxLayerTest/0.TestSetupAxisNegativeIndexing (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUMaxVal +[ OK ] ArgMaxLayerTest/0.TestCPUMaxVal (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUMaxValTopK +[ OK ] ArgMaxLayerTest/0.TestCPUMaxValTopK (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupAxis +[ OK ] ArgMaxLayerTest/0.TestSetupAxis (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxisTopK +[ OK ] ArgMaxLayerTest/0.TestCPUAxisTopK (47 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetup +[ OK ] ArgMaxLayerTest/0.TestSetup (0 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPU +[ OK ] ArgMaxLayerTest/0.TestCPU (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxis +[ OK ] ArgMaxLayerTest/0.TestCPUAxis (11 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUTopK +[ OK ] ArgMaxLayerTest/0.TestCPUTopK (1 ms) +[ RUN ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK +[ OK ] ArgMaxLayerTest/0.TestCPUAxisMaxValTopK (42 ms) +[ RUN ] ArgMaxLayerTest/0.TestSetupMaxVal +[ OK ] ArgMaxLayerTest/0.TestSetupMaxVal (1 ms) +[----------] 12 tests from ArgMaxLayerTest/0 (113 ms total) + +[----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ContrastiveLossLayerTest/1.TestForward +[ OK ] ContrastiveLossLayerTest/1.TestForward (0 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy +[ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (243 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy +[ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) +[ RUN ] ContrastiveLossLayerTest/1.TestGradient +[ OK ] ContrastiveLossLayerTest/1.TestGradient (256 ms) +[----------] 4 tests from ContrastiveLossLayerTest/1 (502 ms total) + +[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5DataLayerTest/0.TestSkip +[ OK ] HDF5DataLayerTest/0.TestSkip (32 ms) +[ RUN ] HDF5DataLayerTest/0.TestRead +[ OK ] HDF5DataLayerTest/0.TestRead (8 ms) +[----------] 2 tests from HDF5DataLayerTest/0 (41 ms total) [----------] 10 tests from PowerLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] PowerLayerTest/0.TestPowerGradient -[ OK ] PowerLayerTest/0.TestPowerGradient (2 ms) +[ RUN ] PowerLayerTest/0.TestPower +[ OK ] PowerLayerTest/0.TestPower (0 ms) +[ RUN ] PowerLayerTest/0.TestPowerZeroGradient +[ OK ] PowerLayerTest/0.TestPowerZeroGradient (2 ms) +[ RUN ] PowerLayerTest/0.TestPowerTwoGradient +[ OK ] PowerLayerTest/0.TestPowerTwoGradient (3 ms) [ RUN ] PowerLayerTest/0.TestPowerZero [ OK ] PowerLayerTest/0.TestPowerZero (0 ms) +[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero +[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) +[ RUN ] PowerLayerTest/0.TestPowerOneGradient +[ OK ] PowerLayerTest/0.TestPowerOneGradient (2 ms) +[ RUN ] PowerLayerTest/0.TestPowerOne +[ OK ] PowerLayerTest/0.TestPowerOne (0 ms) [ RUN ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient -[ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (3 ms) +[ OK ] PowerLayerTest/0.TestPowerTwoScaleHalfGradient (4 ms) +[ RUN ] PowerLayerTest/0.TestPowerGradient +[ OK ] PowerLayerTest/0.TestPowerGradient (4 ms) [ RUN ] PowerLayerTest/0.TestPowerTwo [ OK ] PowerLayerTest/0.TestPowerTwo (0 ms) -[ RUN ] PowerLayerTest/0.TestPowerOne -[ OK ] PowerLayerTest/0.TestPowerOne (0 ms) -[ RUN ] PowerLayerTest/0.TestPowerTwoGradient -[ OK ] PowerLayerTest/0.TestPowerTwoGradient (3 ms) -[ RUN ] PowerLayerTest/0.TestPowerOneGradient -[ OK ] PowerLayerTest/0.TestPowerOneGradient (1 ms) -[ RUN ] PowerLayerTest/0.TestPowerGradientShiftZero -[ OK ] PowerLayerTest/0.TestPowerGradientShiftZero (3 ms) -[ RUN ] PowerLayerTest/0.TestPower -[ OK ] PowerLayerTest/0.TestPower (0 ms) -[ RUN ] PowerLayerTest/0.TestPowerZeroGradient -[ OK ] PowerLayerTest/0.TestPowerZeroGradient (1 ms) -[----------] 10 tests from PowerLayerTest/0 (16 ms total) +[----------] 10 tests from PowerLayerTest/0 (20 ms total) -[----------] 4 tests from ContrastiveLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ContrastiveLossLayerTest/0.TestForwardLegacy -[ OK ] ContrastiveLossLayerTest/0.TestForwardLegacy (1 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestGradientLegacy -[ OK ] ContrastiveLossLayerTest/0.TestGradientLegacy (206 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestForward -[ OK ] ContrastiveLossLayerTest/0.TestForward (1 ms) -[ RUN ] ContrastiveLossLayerTest/0.TestGradient -[ OK ] ContrastiveLossLayerTest/0.TestGradient (215 ms) -[----------] 4 tests from ContrastiveLossLayerTest/0 (423 ms total) +[----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] PowerLayerTest/1.TestPowerOneGradient +[ OK ] PowerLayerTest/1.TestPowerOneGradient (3 ms) +[ RUN ] PowerLayerTest/1.TestPowerZero +[ OK ] PowerLayerTest/1.TestPowerZero (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero +[ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (5 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwoGradient +[ OK ] PowerLayerTest/1.TestPowerTwoGradient (5 ms) +[ RUN ] PowerLayerTest/1.TestPowerGradient +[ OK ] PowerLayerTest/1.TestPowerGradient (4 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient +[ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (5 ms) +[ RUN ] PowerLayerTest/1.TestPowerTwo +[ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) +[ RUN ] PowerLayerTest/1.TestPowerZeroGradient +[ OK ] PowerLayerTest/1.TestPowerZeroGradient (2 ms) +[ RUN ] PowerLayerTest/1.TestPowerOne +[ OK ] PowerLayerTest/1.TestPowerOne (0 ms) +[ RUN ] PowerLayerTest/1.TestPower +[ OK ] PowerLayerTest/1.TestPower (0 ms) +[----------] 10 tests from PowerLayerTest/1 (26 ms total) -[----------] 5 tests from EmbedLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] EmbedLayerTest/1.TestForward -[ OK ] EmbedLayerTest/1.TestForward (0 ms) -[ RUN ] EmbedLayerTest/1.TestGradient -[ OK ] EmbedLayerTest/1.TestGradient (11 ms) -[ RUN ] EmbedLayerTest/1.TestSetUp -[ OK ] EmbedLayerTest/1.TestSetUp (0 ms) -[ RUN ] EmbedLayerTest/1.TestForwardWithBias -[ OK ] EmbedLayerTest/1.TestForwardWithBias (0 ms) -[ RUN ] EmbedLayerTest/1.TestGradientWithBias -[ OK ] EmbedLayerTest/1.TestGradientWithBias (14 ms) -[----------] 5 tests from EmbedLayerTest/1 (26 ms total) +[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] DeconvolutionLayerTest/0.TestGradient +[ OK ] DeconvolutionLayerTest/0.TestGradient (882 ms) +[ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D +[ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (2097 ms) +[ RUN ] DeconvolutionLayerTest/0.TestGradient3D +[ OK ] DeconvolutionLayerTest/0.TestGradient3D (606 ms) +[ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution +[ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) +[ RUN ] DeconvolutionLayerTest/0.TestSetup +[ OK ] DeconvolutionLayerTest/0.TestSetup (1 ms) +[----------] 5 tests from DeconvolutionLayerTest/0 (3590 ms total) -[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] TileLayerTest/1.TestGradientNum -[ OK ] TileLayerTest/1.TestGradientNum (172 ms) -[ RUN ] TileLayerTest/1.TestForwardChannels -[ OK ] TileLayerTest/1.TestForwardChannels (0 ms) -[ RUN ] TileLayerTest/1.TestSetup -[ OK ] TileLayerTest/1.TestSetup (0 ms) -[ RUN ] TileLayerTest/1.TestTrivialSetup -[ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) -[ RUN ] TileLayerTest/1.TestForwardNum -[ OK ] TileLayerTest/1.TestForwardNum (1 ms) -[ RUN ] TileLayerTest/1.TestTrivialGradient -[ OK ] TileLayerTest/1.TestTrivialGradient (51 ms) -[ RUN ] TileLayerTest/1.TestGradientChannels -[ OK ] TileLayerTest/1.TestGradientChannels (173 ms) -[----------] 7 tests from TileLayerTest/1 (397 ms total) +[----------] 3 tests from BatchNormLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BatchNormLayerTest/0.TestGradient +[ OK ] BatchNormLayerTest/0.TestGradient (384 ms) +[ RUN ] BatchNormLayerTest/0.TestForward +[ OK ] BatchNormLayerTest/0.TestForward (0 ms) +[ RUN ] BatchNormLayerTest/0.TestForwardInplace +[ OK ] BatchNormLayerTest/0.TestForwardInplace (0 ms) +[----------] 3 tests from BatchNormLayerTest/0 (388 ms total) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (0 ms) -[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss -[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (1 ms) -[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (1 ms total) +[----------] 1 test from MultinomialLogisticLossLayerTest/1, where TypeParam = double +[ RUN ] MultinomialLogisticLossLayerTest/1.TestGradientCPU +[ OK ] MultinomialLogisticLossLayerTest/1.TestGradientCPU (0 ms) +[----------] 1 test from MultinomialLogisticLossLayerTest/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.TestFill1D -[ OK ] ConstantFillerTest/0.TestFill1D (0 ms) -[ RUN ] ConstantFillerTest/0.TestFill2D -[ OK ] ConstantFillerTest/0.TestFill2D (0 ms) -[ RUN ] ConstantFillerTest/0.TestFill5D -[ OK ] ConstantFillerTest/0.TestFill5D (0 ms) -[----------] 4 tests from ConstantFillerTest/0 (0 ms total) +[----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] InnerProductLayerTest/0.TestGradient +[ OK ] InnerProductLayerTest/0.TestGradient (212 ms) +[ RUN ] InnerProductLayerTest/0.TestGradientTranspose +[ OK ] InnerProductLayerTest/0.TestGradientTranspose (199 ms) +[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue +[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) +[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse +[ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) +[ RUN ] InnerProductLayerTest/0.TestSetUp +[ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) +[ RUN ] InnerProductLayerTest/0.TestForward +[ OK ] InnerProductLayerTest/0.TestForward (0 ms) +[ RUN ] InnerProductLayerTest/0.TestBackwardTranspose +[ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/0.TestForwardNoBatch +[ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) +[ RUN ] InnerProductLayerTest/0.TestForwardTranspose +[ OK ] InnerProductLayerTest/0.TestForwardTranspose (1 ms) +[----------] 9 tests from InnerProductLayerTest/0 (414 ms total) -[----------] 10 tests from ConcatLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ConcatLayerTest/1.TestSetupChannels -[ OK ] ConcatLayerTest/1.TestSetupChannels (0 ms) -[ RUN ] ConcatLayerTest/1.TestForwardChannels -[ OK ] ConcatLayerTest/1.TestForwardChannels (0 ms) -[ RUN ] ConcatLayerTest/1.TestSetupNum -[ OK ] ConcatLayerTest/1.TestSetupNum (0 ms) -[ RUN ] ConcatLayerTest/1.TestGradientTrivial -[ OK ] ConcatLayerTest/1.TestGradientTrivial (1 ms) -[ RUN ] ConcatLayerTest/1.TestGradientChannels -[ OK ] ConcatLayerTest/1.TestGradientChannels (3 ms) -[ RUN ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly -[ OK ] ConcatLayerTest/1.TestGradientChannelsBottomOneOnly (1 ms) -[ RUN ] ConcatLayerTest/1.TestGradientNum -[ OK ] ConcatLayerTest/1.TestGradientNum (4 ms) -[ RUN ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing -[ OK ] ConcatLayerTest/1.TestSetupChannelsNegativeIndexing (0 ms) -[ RUN ] ConcatLayerTest/1.TestForwardTrivial -[ OK ] ConcatLayerTest/1.TestForwardTrivial (0 ms) -[ RUN ] ConcatLayerTest/1.TestForwardNum -[ OK ] ConcatLayerTest/1.TestForwardNum (0 ms) -[----------] 10 tests from ConcatLayerTest/1 (10 ms total) +[----------] 20 tests from BiasLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BiasLayerTest/1.TestForwardBias +[ OK ] BiasLayerTest/1.TestForwardBias (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastBegin +[ OK ] BiasLayerTest/1.TestGradientBroadcastBegin (127 ms) +[ RUN ] BiasLayerTest/1.TestForwardEltwiseWithParam +[ OK ] BiasLayerTest/1.TestForwardEltwiseWithParam (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddle +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddle (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastEnd +[ OK ] BiasLayerTest/1.TestGradientBroadcastEnd (161 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastEnd +[ OK ] BiasLayerTest/1.TestForwardBroadcastEnd (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardEltwiseInPlace +[ OK ] BiasLayerTest/1.TestForwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddle +[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddle (154 ms) +[ RUN ] BiasLayerTest/1.TestForwardBiasAxis2 +[ OK ] BiasLayerTest/1.TestForwardBiasAxis2 (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientBias +[ OK ] BiasLayerTest/1.TestGradientBias (112 ms) +[ RUN ] BiasLayerTest/1.TestForwardEltwise +[ OK ] BiasLayerTest/1.TestForwardEltwise (0 ms) +[ RUN ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestBackwardEltwiseInPlace +[ OK ] BiasLayerTest/1.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] BiasLayerTest/1.TestGradientEltwiseWithParam +[ OK ] BiasLayerTest/1.TestGradientEltwiseWithParam (285 ms) +[ RUN ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam +[ OK ] BiasLayerTest/1.TestGradientBroadcastMiddleWithParam (124 ms) +[ RUN ] BiasLayerTest/1.TestGradientBiasAxis2 +[ OK ] BiasLayerTest/1.TestGradientBiasAxis2 (253 ms) +[ RUN ] BiasLayerTest/1.TestGradientEltwise +[ OK ] BiasLayerTest/1.TestGradientEltwise (4 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace +[ OK ] BiasLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) +[ RUN ] BiasLayerTest/1.TestForwardBroadcastBegin +[ OK ] BiasLayerTest/1.TestForwardBroadcastBegin (0 ms) +[----------] 20 tests from BiasLayerTest/1 (1240 ms total) -[----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] DataLayerTest/0.TestReshapeLevelDB -[ OK ] DataLayerTest/0.TestReshapeLevelDB (229 ms) -[ RUN ] DataLayerTest/0.TestReadCropTestLevelDB -[ OK ] DataLayerTest/0.TestReadCropTestLevelDB (20 ms) -[ RUN ] DataLayerTest/0.TestReadLevelDB -[ OK ] DataLayerTest/0.TestReadLevelDB (18 ms) -[ RUN ] DataLayerTest/0.TestSkipLMDB -[ OK ] DataLayerTest/0.TestSkipLMDB (7 ms) -[ RUN ] DataLayerTest/0.TestReadCropTestLMDB -[ OK ] DataLayerTest/0.TestReadCropTestLMDB (4 ms) -[ RUN ] DataLayerTest/0.TestReshapeLMDB -[ OK ] DataLayerTest/0.TestReshapeLMDB (3 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (27 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (4 ms) -[ RUN ] DataLayerTest/0.TestReadLMDB -[ OK ] DataLayerTest/0.TestReadLMDB (5 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (27 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (4 ms) -[ RUN ] DataLayerTest/0.TestSkipLevelDB -[ OK ] DataLayerTest/0.TestSkipLevelDB (69 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB -[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (3 ms) -[ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB -[ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (25 ms) -[----------] 14 tests from DataLayerTest/0 (445 ms total) +[----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (171 ms) +[ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare +[ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (69 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (82 ms) +[ RUN ] AdaDeltaSolverTest/0.TestSnapshot +[ OK ] AdaDeltaSolverTest/0.TestSnapshot (85 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (252 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (170 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (32 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (7 ms) +[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (5 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (42 ms) +[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay +[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (22 ms) +[----------] 11 tests from AdaDeltaSolverTest/0 (954 ms total) -[----------] 2 tests from BatchReindexLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BatchReindexLayerTest/1.TestForward -[ OK ] BatchReindexLayerTest/1.TestForward (0 ms) -[ RUN ] BatchReindexLayerTest/1.TestGradient -[ OK ] BatchReindexLayerTest/1.TestGradient (82 ms) -[----------] 2 tests from BatchReindexLayerTest/1 (82 ms total) +[----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NetTest/0.TestGetBlob +[ OK ] NetTest/0.TestGetBlob (1 ms) +[ RUN ] NetTest/0.TestGetLayerByName +[ OK ] NetTest/0.TestGetLayerByName (1 ms) +[ RUN ] NetTest/0.TestLossWeightMidNet +[ OK ] NetTest/0.TestLossWeightMidNet (9 ms) +[ RUN ] NetTest/0.TestAllInOneNetVal +[ OK ] NetTest/0.TestAllInOneNetVal (1 ms) +[ RUN ] NetTest/0.TestFromTo +[ OK ] NetTest/0.TestFromTo (3 ms) +[ RUN ] NetTest/0.TestSkipPropagateDown +[ OK ] NetTest/0.TestSkipPropagateDown (2 ms) +[ RUN ] NetTest/0.TestComboLossWeight +[ OK ] NetTest/0.TestComboLossWeight (9 ms) +[ RUN ] NetTest/0.TestHasBlob +[ OK ] NetTest/0.TestHasBlob (3 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardForce +[ OK ] NetTest/0.TestBottomNeedBackwardForce (1 ms) +[ RUN ] NetTest/0.TestUnsharedWeightsDataNet +[ OK ] NetTest/0.TestUnsharedWeightsDataNet (1 ms) +[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer +[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (3 ms) +[ RUN ] NetTest/0.TestSharedWeightsDiffNet +[ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce +[ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (1 ms) +[ RUN ] NetTest/0.TestBottomNeedBackward +[ OK ] NetTest/0.TestBottomNeedBackward (1 ms) +[ RUN ] NetTest/0.TestSharedWeightsDataNet +[ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) +[ RUN ] NetTest/0.TestSharedWeightsResume +[ OK ] NetTest/0.TestSharedWeightsResume (1 ms) +[ RUN ] NetTest/0.TestUnsharedWeightsDiffNet +[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (1 ms) +[ RUN ] NetTest/0.TestLossWeight +[ OK ] NetTest/0.TestLossWeight (9 ms) +[ RUN ] NetTest/0.TestAllInOneNetDeploy +[ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) +[ RUN ] NetTest/0.TestForcePropagateDown +[ OK ] NetTest/0.TestForcePropagateDown (1 ms) +[ RUN ] NetTest/0.TestHasLayer +[ OK ] NetTest/0.TestHasLayer (1 ms) +[ RUN ] NetTest/0.TestReshape +[ OK ] NetTest/0.TestReshape (1 ms) +[ RUN ] NetTest/0.TestAllInOneNetTrain +[ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) +[ RUN ] NetTest/0.TestSharedWeightsUpdate +[ OK ] NetTest/0.TestSharedWeightsUpdate (3 ms) +[ RUN ] NetTest/0.TestBottomNeedBackwardTricky +[ OK ] NetTest/0.TestBottomNeedBackwardTricky (2 ms) +[ RUN ] NetTest/0.TestParamPropagateDown +[ OK ] NetTest/0.TestParamPropagateDown (6 ms) +[----------] 26 tests from NetTest/0 (86 ms total) + +[----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND +[ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (3721 ms) +[ RUN ] Im2colLayerTest/0.TestGradient +[ OK ] Im2colLayerTest/0.TestGradient (511 ms) +[ RUN ] Im2colLayerTest/0.TestDilatedGradient +[ OK ] Im2colLayerTest/0.TestDilatedGradient (1106 ms) +[ RUN ] Im2colLayerTest/0.TestSetup +[ OK ] Im2colLayerTest/0.TestSetup (1 ms) +[ RUN ] Im2colLayerTest/0.TestForward +[ OK ] Im2colLayerTest/0.TestForward (0 ms) +[ RUN ] Im2colLayerTest/0.TestRect +[ OK ] Im2colLayerTest/0.TestRect (0 ms) +[ RUN ] Im2colLayerTest/0.TestRectGradient +[ OK ] Im2colLayerTest/0.TestRectGradient (278 ms) +[ RUN ] Im2colLayerTest/0.TestGradientForceND +[ OK ] Im2colLayerTest/0.TestGradientForceND (1257 ms) +[----------] 8 tests from Im2colLayerTest/0 (6875 ms total) [----------] 20 tests from FilterNetTest +[ RUN ] FilterNetTest.TestFilterInByMinLevel2 +[ OK ] FilterNetTest.TestFilterInByMinLevel2 (1 ms) +[ RUN ] FilterNetTest.TestFilterInByMaxLevel2 +[ OK ] FilterNetTest.TestFilterInByMaxLevel2 (0 ms) [ RUN ] FilterNetTest.TestFilterInByMultipleStage2 [ OK ] FilterNetTest.TestFilterInByMultipleStage2 (0 ms) -[ RUN ] FilterNetTest.TestFilterInByStage -[ OK ] FilterNetTest.TestFilterInByStage (0 ms) [ RUN ] FilterNetTest.TestFilterOutByNotStage [ OK ] FilterNetTest.TestFilterOutByNotStage (0 ms) -[ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule -[ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (1 ms) +[ RUN ] FilterNetTest.TestFilterLeNetTrainTest +[ OK ] FilterNetTest.TestFilterLeNetTrainTest (13 ms) +[ RUN ] FilterNetTest.TestFilterInByNotStage +[ OK ] FilterNetTest.TestFilterInByNotStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByIncludeMultiRule [ OK ] FilterNetTest.TestFilterInByIncludeMultiRule (0 ms) -[ RUN ] FilterNetTest.TestFilterInByStage2 -[ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByStage -[ OK ] FilterNetTest.TestFilterOutByStage (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByMaxLevel -[ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) -[ RUN ] FilterNetTest.TestNoFilter -[ OK ] FilterNetTest.TestNoFilter (0 ms) -[ RUN ] FilterNetTest.TestFilterInByNotStage -[ OK ] FilterNetTest.TestFilterInByNotStage (1 ms) -[ RUN ] FilterNetTest.TestFilterLeNetTrainTest -[ OK ] FilterNetTest.TestFilterLeNetTrainTest (0 ms) +[ RUN ] FilterNetTest.TestFilterInByMaxLevel +[ OK ] FilterNetTest.TestFilterInByMaxLevel (1 ms) +[ RUN ] FilterNetTest.TestFilterInByMultipleStage +[ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) [ RUN ] FilterNetTest.TestFilterInByMinLevel [ OK ] FilterNetTest.TestFilterInByMinLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInByStage2 +[ OK ] FilterNetTest.TestFilterInByStage2 (0 ms) [ RUN ] FilterNetTest.TestFilterInOutByExcludeMultiRule [ OK ] FilterNetTest.TestFilterInOutByExcludeMultiRule (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMaxLevel2 -[ OK ] FilterNetTest.TestFilterInByMaxLevel2 (1 ms) +[ RUN ] FilterNetTest.TestFilterOutByMinLevel +[ OK ] FilterNetTest.TestFilterOutByMinLevel (1 ms) +[ RUN ] FilterNetTest.TestNoFilter +[ OK ] FilterNetTest.TestNoFilter (0 ms) [ RUN ] FilterNetTest.TestFilterOutByMultipleStage [ OK ] FilterNetTest.TestFilterOutByMultipleStage (0 ms) -[ RUN ] FilterNetTest.TestFilterOutByMinLevel -[ OK ] FilterNetTest.TestFilterOutByMinLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterInOutByIncludeMultiRule +[ OK ] FilterNetTest.TestFilterInOutByIncludeMultiRule (12 ms) [ RUN ] FilterNetTest.TestFilterOutByStage2 -[ OK ] FilterNetTest.TestFilterOutByStage2 (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMultipleStage -[ OK ] FilterNetTest.TestFilterInByMultipleStage (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMinLevel2 -[ OK ] FilterNetTest.TestFilterInByMinLevel2 (0 ms) -[ RUN ] FilterNetTest.TestFilterInByMaxLevel -[ OK ] FilterNetTest.TestFilterInByMaxLevel (0 ms) -[----------] 20 tests from FilterNetTest (3 ms total) - -[----------] 10 tests from PowerLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] PowerLayerTest/1.TestPowerZeroGradient -[ OK ] PowerLayerTest/1.TestPowerZeroGradient (1 ms) -[ RUN ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient -[ OK ] PowerLayerTest/1.TestPowerTwoScaleHalfGradient (3 ms) -[ RUN ] PowerLayerTest/1.TestPowerOneGradient -[ OK ] PowerLayerTest/1.TestPowerOneGradient (1 ms) -[ RUN ] PowerLayerTest/1.TestPowerTwo -[ OK ] PowerLayerTest/1.TestPowerTwo (0 ms) -[ RUN ] PowerLayerTest/1.TestPowerGradientShiftZero -[ OK ] PowerLayerTest/1.TestPowerGradientShiftZero (2 ms) -[ RUN ] PowerLayerTest/1.TestPowerOne -[ OK ] PowerLayerTest/1.TestPowerOne (0 ms) -[ RUN ] PowerLayerTest/1.TestPower -[ OK ] PowerLayerTest/1.TestPower (0 ms) -[ RUN ] PowerLayerTest/1.TestPowerTwoGradient -[ OK ] PowerLayerTest/1.TestPowerTwoGradient (2 ms) -[ RUN ] PowerLayerTest/1.TestPowerZero -[ OK ] PowerLayerTest/1.TestPowerZero (0 ms) -[ RUN ] PowerLayerTest/1.TestPowerGradient -[ OK ] PowerLayerTest/1.TestPowerGradient (2 ms) -[----------] 10 tests from PowerLayerTest/1 (11 ms total) +[ OK ] FilterNetTest.TestFilterOutByStage2 (1 ms) +[ RUN ] FilterNetTest.TestFilterOutByMaxLevel +[ OK ] FilterNetTest.TestFilterOutByMaxLevel (0 ms) +[ RUN ] FilterNetTest.TestFilterOutByStage +[ OK ] FilterNetTest.TestFilterOutByStage (1 ms) +[ RUN ] FilterNetTest.TestFilterInByStage +[ OK ] FilterNetTest.TestFilterInByStage (0 ms) +[----------] 20 tests from FilterNetTest (30 ms total) [----------] 8 tests from RMSPropSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (9 ms) +[ RUN ] RMSPropSolverTest/0.TestSnapshotShare +[ OK ] RMSPropSolverTest/0.TestSnapshotShare (258 ms) +[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (16 ms) +[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (32 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (44 ms) +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverything (351 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (44 ms) +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithEverythingShare (158 ms) +[ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithWeightDecay (26 ms) [ RUN ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay -[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (48 ms) -[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (3 ms) -[ RUN ] RMSPropSolverTest/0.TestSnapshotShare -[ OK ] RMSPropSolverTest/0.TestSnapshotShare (19 ms) +[ OK ] RMSPropSolverTest/0.TestRMSPropLeastSquaresUpdateWithRmsDecay (141 ms) [ RUN ] RMSPropSolverTest/0.TestSnapshot -[ OK ] RMSPropSolverTest/0.TestSnapshot (17 ms) -[ RUN ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] RMSPropSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[----------] 8 tests from RMSPropSolverTest/0 (186 ms total) +[ OK ] RMSPropSolverTest/0.TestSnapshot (29 ms) +[----------] 8 tests from RMSPropSolverTest/0 (1011 ms total) -[----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse -[ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (0 ms) -[ RUN ] InnerProductLayerTest/1.TestForward -[ OK ] InnerProductLayerTest/1.TestForward (1 ms) -[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue -[ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) -[ RUN ] InnerProductLayerTest/1.TestForwardNoBatch -[ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) -[ RUN ] InnerProductLayerTest/1.TestForwardTranspose -[ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) -[ RUN ] InnerProductLayerTest/1.TestGradient -[ OK ] InnerProductLayerTest/1.TestGradient (81 ms) -[ RUN ] InnerProductLayerTest/1.TestBackwardTranspose -[ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) -[ RUN ] InnerProductLayerTest/1.TestSetUp -[ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) -[ RUN ] InnerProductLayerTest/1.TestGradientTranspose -[ OK ] InnerProductLayerTest/1.TestGradientTranspose (126 ms) -[----------] 9 tests from InnerProductLayerTest/1 (209 ms total) +[----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LSTMLayerTest/0.TestSetUp +[ OK ] LSTMLayerTest/0.TestSetUp (1 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient +[ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (59 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont +[ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (435 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 +[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (1434 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont +[ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (84 ms) +[ RUN ] LSTMLayerTest/0.TestForward +[ OK ] LSTMLayerTest/0.TestForward (8 ms) +[ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp +[ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (1 ms) +[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (8423 ms) +[ RUN ] LSTMLayerTest/0.TestGradient +[ OK ] LSTMLayerTest/0.TestGradient (590 ms) +[----------] 9 tests from LSTMLayerTest/0 (11048 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) +[----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MemoryDataLayerTest/0.TestSetup +[ OK ] MemoryDataLayerTest/0.TestSetup (1 ms) +[ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform +[ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) +[ RUN ] MemoryDataLayerTest/0.TestSetBatchSize +[ OK ] MemoryDataLayerTest/0.TestSetBatchSize (2 ms) +[ RUN ] MemoryDataLayerTest/0.TestForward +[ OK ] MemoryDataLayerTest/0.TestForward (41 ms) +[ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform +[ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (1 ms) +[----------] 5 tests from MemoryDataLayerTest/0 (49 ms total) -[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] BlobMathTest/0.TestSumOfSquares -[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) -[ RUN ] BlobMathTest/0.TestAsum -[ OK ] BlobMathTest/0.TestAsum (0 ms) -[ RUN ] BlobMathTest/0.TestScaleData -[ OK ] BlobMathTest/0.TestScaleData (0 ms) -[----------] 3 tests from BlobMathTest/0 (1 ms total) +[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5OutputLayerTest/1.TestForward +[ OK ] HDF5OutputLayerTest/1.TestForward (13 ms) +[----------] 1 test from HDF5OutputLayerTest/1 (13 ms total) -[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LayerFactoryTest/1.TestCreateLayer -[ OK ] LayerFactoryTest/1.TestCreateLayer (30 ms) -[----------] 1 test from LayerFactoryTest/1 (30 ms total) +[----------] 3 tests from TanHLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] TanHLayerTest/1.TestTanH +[ OK ] TanHLayerTest/1.TestTanH (0 ms) +[ RUN ] TanHLayerTest/1.TestTanHGradient +[ OK ] TanHLayerTest/1.TestTanHGradient (12 ms) +[ RUN ] TanHLayerTest/1.TestTanHOverflow +[ OK ] TanHLayerTest/1.TestTanHOverflow (0 ms) +[----------] 3 tests from TanHLayerTest/1 (14 ms total) + +[----------] 2 tests from BilinearFillerTest/0, where TypeParam = float +[ RUN ] BilinearFillerTest/0.TestFillEven +[ OK ] BilinearFillerTest/0.TestFillEven (24 ms) +[ RUN ] BilinearFillerTest/0.TestFillOdd +[ OK ] BilinearFillerTest/0.TestFillOdd (16 ms) +[----------] 2 tests from BilinearFillerTest/0 (42 ms total) + +[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SliceLayerTest/0.TestSetupNum +[ OK ] SliceLayerTest/0.TestSetupNum (0 ms) +[ RUN ] SliceLayerTest/0.TestGradientAcrossNum +[ OK ] SliceLayerTest/0.TestGradientAcrossNum (74 ms) +[ RUN ] SliceLayerTest/0.TestGradientTrivial +[ OK ] SliceLayerTest/0.TestGradientTrivial (16 ms) +[ RUN ] SliceLayerTest/0.TestSliceAcrossChannels +[ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) +[ RUN ] SliceLayerTest/0.TestGradientAcrossChannels +[ OK ] SliceLayerTest/0.TestGradientAcrossChannels (73 ms) +[ RUN ] SliceLayerTest/0.TestSliceAcrossNum +[ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) +[ RUN ] SliceLayerTest/0.TestTrivialSlice +[ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) +[ RUN ] SliceLayerTest/0.TestSetupChannels +[ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) +[----------] 8 tests from SliceLayerTest/0 (178 ms total) + +[----------] 22 tests from ScaleLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ScaleLayerTest/1.TestForwardEltwiseWithParam +[ OK ] ScaleLayerTest/1.TestForwardEltwiseWithParam (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardScaleAxis2 +[ OK ] ScaleLayerTest/1.TestForwardScaleAxis2 (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastBegin +[ OK ] ScaleLayerTest/1.TestForwardBroadcastBegin (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientEltwise +[ OK ] ScaleLayerTest/1.TestGradientEltwise (9 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwiseInPlace +[ OK ] ScaleLayerTest/1.TestForwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScaleAxis2 +[ OK ] ScaleLayerTest/1.TestGradientScaleAxis2 (192 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddle +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddle (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastEnd +[ OK ] ScaleLayerTest/1.TestForwardBroadcastEnd (0 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParamAndBias (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastEnd +[ OK ] ScaleLayerTest/1.TestGradientBroadcastEnd (350 ms) +[ RUN ] ScaleLayerTest/1.TestForwardScale +[ OK ] ScaleLayerTest/1.TestForwardScale (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastBegin +[ OK ] ScaleLayerTest/1.TestGradientBroadcastBegin (189 ms) +[ RUN ] ScaleLayerTest/1.TestGradientEltwiseWithParam +[ OK ] ScaleLayerTest/1.TestGradientEltwiseWithParam (597 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleInPlace (1 ms) +[ RUN ] ScaleLayerTest/1.TestForwardEltwise +[ OK ] ScaleLayerTest/1.TestForwardEltwise (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddle +[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddle (408 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScale +[ OK ] ScaleLayerTest/1.TestGradientScale (183 ms) +[ RUN ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/1.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/1.TestGradientBroadcastMiddleWithParam (261 ms) +[ RUN ] ScaleLayerTest/1.TestBackwardEltwiseInPlace +[ OK ] ScaleLayerTest/1.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/1.TestBackwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/1.TestGradientScaleAndBias +[ OK ] ScaleLayerTest/1.TestGradientScaleAndBias (259 ms) +[----------] 22 tests from ScaleLayerTest/1 (2474 ms total) + +[----------] 5 tests from DeconvolutionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] DeconvolutionLayerTest/1.TestSetup +[ OK ] DeconvolutionLayerTest/1.TestSetup (0 ms) +[ RUN ] DeconvolutionLayerTest/1.TestGradient3D +[ OK ] DeconvolutionLayerTest/1.TestGradient3D (459 ms) +[ RUN ] DeconvolutionLayerTest/1.TestNDAgainst2D +[ OK ] DeconvolutionLayerTest/1.TestNDAgainst2D (6462 ms) +[ RUN ] DeconvolutionLayerTest/1.TestSimpleDeconvolution +[ OK ] DeconvolutionLayerTest/1.TestSimpleDeconvolution (0 ms) +[ RUN ] DeconvolutionLayerTest/1.TestGradient +[ OK ] DeconvolutionLayerTest/1.TestGradient (3785 ms) +[----------] 5 tests from DeconvolutionLayerTest/1 (10707 ms total) + +[----------] 11 tests from PoolingLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] PoolingLayerTest/1.TestGradientMaxTopMask +[ OK ] PoolingLayerTest/1.TestGradientMaxTopMask (2210 ms) +[ RUN ] PoolingLayerTest/1.TestSetup +[ OK ] PoolingLayerTest/1.TestSetup (0 ms) +[ RUN ] PoolingLayerTest/1.TestSetupPadded +[ OK ] PoolingLayerTest/1.TestSetupPadded (0 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMaxTopMask +[ OK ] PoolingLayerTest/1.TestForwardMaxTopMask (0 ms) +[ RUN ] PoolingLayerTest/1.TestGradientMax +[ OK ] PoolingLayerTest/1.TestGradientMax (2260 ms) +[ RUN ] PoolingLayerTest/1.TestSetupGlobalPooling +[ OK ] PoolingLayerTest/1.TestSetupGlobalPooling (0 ms) +[ RUN ] PoolingLayerTest/1.TestForwardAve +[ OK ] PoolingLayerTest/1.TestForwardAve (0 ms) +[ RUN ] PoolingLayerTest/1.TestGradientAve +[ OK ] PoolingLayerTest/1.TestGradientAve (652 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMax +[ OK ] PoolingLayerTest/1.TestForwardMax (1 ms) +[ RUN ] PoolingLayerTest/1.TestGradientAvePadded +[ OK ] PoolingLayerTest/1.TestGradientAvePadded (5334 ms) +[ RUN ] PoolingLayerTest/1.TestForwardMaxPadded +[ OK ] PoolingLayerTest/1.TestForwardMaxPadded (0 ms) +[----------] 11 tests from PoolingLayerTest/1 (10475 ms total) [----------] 7 tests from TileLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] TileLayerTest/0.TestGradientChannels -[ OK ] TileLayerTest/0.TestGradientChannels (227 ms) -[ RUN ] TileLayerTest/0.TestTrivialSetup -[ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) -[ RUN ] TileLayerTest/0.TestSetup -[ OK ] TileLayerTest/0.TestSetup (0 ms) -[ RUN ] TileLayerTest/0.TestGradientNum -[ OK ] TileLayerTest/0.TestGradientNum (210 ms) [ RUN ] TileLayerTest/0.TestForwardNum [ OK ] TileLayerTest/0.TestForwardNum (0 ms) +[ RUN ] TileLayerTest/0.TestSetup +[ OK ] TileLayerTest/0.TestSetup (0 ms) [ RUN ] TileLayerTest/0.TestTrivialGradient -[ OK ] TileLayerTest/0.TestTrivialGradient (67 ms) +[ OK ] TileLayerTest/0.TestTrivialGradient (343 ms) +[ RUN ] TileLayerTest/0.TestGradientNum +[ OK ] TileLayerTest/0.TestGradientNum (2002 ms) +[ RUN ] TileLayerTest/0.TestGradientChannels +[ OK ] TileLayerTest/0.TestGradientChannels (1785 ms) [ RUN ] TileLayerTest/0.TestForwardChannels [ OK ] TileLayerTest/0.TestForwardChannels (0 ms) -[----------] 7 tests from TileLayerTest/0 (506 ms total) - -[----------] 4 tests from GaussianFillerTest/0, where TypeParam = float -[ RUN ] GaussianFillerTest/0.TestFill2D -[ OK ] GaussianFillerTest/0.TestFill2D (0 ms) -[ RUN ] GaussianFillerTest/0.TestFill5D -[ OK ] GaussianFillerTest/0.TestFill5D (0 ms) -[ RUN ] GaussianFillerTest/0.TestFill -[ OK ] GaussianFillerTest/0.TestFill (0 ms) -[ RUN ] GaussianFillerTest/0.TestFill1D -[ OK ] GaussianFillerTest/0.TestFill1D (0 ms) -[----------] 4 tests from GaussianFillerTest/0 (1 ms total) - -[----------] 1 test from SolverFactoryTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SolverFactoryTest/1.TestCreateSolver -[ OK ] SolverFactoryTest/1.TestCreateSolver (4 ms) -[----------] 1 test from SolverFactoryTest/1 (4 ms total) - -[----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] NeuronLayerTest/1.TestAbsVal -[ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) -[ RUN ] NeuronLayerTest/1.TestClip -[ OK ] NeuronLayerTest/1.TestClip (1 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (3 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUForward -[ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerWithShift -[ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishAsLinear -[ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) -[ RUN ] NeuronLayerTest/1.TestReLU -[ OK ] NeuronLayerTest/1.TestReLU (0 ms) -[ RUN ] NeuronLayerTest/1.TestELUasReLU -[ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) -[ RUN ] NeuronLayerTest/1.TestSigmoid -[ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishWithBeta -[ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) -[ RUN ] NeuronLayerTest/1.TestELU -[ OK ] NeuronLayerTest/1.TestELU (0 ms) -[ RUN ] NeuronLayerTest/1.TestBNLLGradient -[ OK ] NeuronLayerTest/1.TestBNLLGradient (3 ms) -[ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope -[ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (0 ms) -[ RUN ] NeuronLayerTest/1.TestELUasReLUGradient -[ OK ] NeuronLayerTest/1.TestELUasReLUGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope -[ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (2 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradient -[ OK ] NeuronLayerTest/1.TestExpGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient -[ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayer -[ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared -[ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (116 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUInPlace -[ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU -[ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerBase2 -[ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (3 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutHalf -[ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient -[ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (3 ms) -[ RUN ] NeuronLayerTest/1.TestTanHGradient -[ OK ] NeuronLayerTest/1.TestTanHGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradient -[ OK ] NeuronLayerTest/1.TestLogGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) -[ RUN ] NeuronLayerTest/1.TestELUGradient -[ OK ] NeuronLayerTest/1.TestELUGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 -[ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 -[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (3 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutTestPhase -[ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) -[ RUN ] NeuronLayerTest/1.TestClipGradient -[ OK ] NeuronLayerTest/1.TestClipGradient (1 ms) -[ RUN ] NeuronLayerTest/1.TestTanH -[ OK ] NeuronLayerTest/1.TestTanH (1 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutGradientTest -[ OK ] NeuronLayerTest/1.TestDropoutGradientTest (1 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters -[ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) -[ RUN ] NeuronLayerTest/1.TestSigmoidGradient -[ OK ] NeuronLayerTest/1.TestSigmoidGradient (3 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Scale3 -[ OK ] NeuronLayerTest/1.TestExpLayerBase2Scale3 (0 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2 (3 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared -[ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUParam -[ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) -[ RUN ] NeuronLayerTest/1.TestSwishGradient -[ OK ] NeuronLayerTest/1.TestSwishGradient (4 ms) -[ RUN ] NeuronLayerTest/1.TestAbsGradient -[ OK ] NeuronLayerTest/1.TestAbsGradient (1 ms) -[ RUN ] NeuronLayerTest/1.TestDropoutGradient -[ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2 (2 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientWithShift -[ OK ] NeuronLayerTest/1.TestExpGradientWithShift (2 ms) -[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 -[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (2 ms) -[ RUN ] NeuronLayerTest/1.TestExpLayer -[ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) -[ RUN ] NeuronLayerTest/1.TestReLUGradient -[ OK ] NeuronLayerTest/1.TestReLUGradient (2 ms) -[ RUN ] NeuronLayerTest/1.TestSwish -[ OK ] NeuronLayerTest/1.TestSwish (0 ms) -[ RUN ] NeuronLayerTest/1.TestBNLL -[ OK ] NeuronLayerTest/1.TestBNLL (0 ms) -[ RUN ] NeuronLayerTest/1.TestPReLUGradient -[ OK ] NeuronLayerTest/1.TestPReLUGradient (118 ms) -[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1 -[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (3 ms) -[----------] 58 tests from NeuronLayerTest/1 (306 ms total) +[ RUN ] TileLayerTest/0.TestTrivialSetup +[ OK ] TileLayerTest/0.TestTrivialSetup (0 ms) +[----------] 7 tests from TileLayerTest/0 (4148 ms total) -[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] MVNLayerTest/1.TestGradientAcrossChannels -[ OK ] MVNLayerTest/1.TestGradientAcrossChannels (213 ms) -[ RUN ] MVNLayerTest/1.TestForward -[ OK ] MVNLayerTest/1.TestForward (0 ms) -[ RUN ] MVNLayerTest/1.TestGradient -[ OK ] MVNLayerTest/1.TestGradient (189 ms) -[ RUN ] MVNLayerTest/1.TestForwardAcrossChannels -[ OK ] MVNLayerTest/1.TestForwardAcrossChannels (1 ms) -[ RUN ] MVNLayerTest/1.TestForwardMeanOnly -[ OK ] MVNLayerTest/1.TestForwardMeanOnly (0 ms) -[ RUN ] MVNLayerTest/1.TestGradientMeanOnly -[ OK ] MVNLayerTest/1.TestGradientMeanOnly (74 ms) -[----------] 6 tests from MVNLayerTest/1 (477 ms total) +[----------] 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.TestFill2D +[ OK ] ConstantFillerTest/0.TestFill2D (0 ms) +[ RUN ] ConstantFillerTest/0.TestFill +[ OK ] ConstantFillerTest/0.TestFill (0 ms) +[----------] 4 tests from ConstantFillerTest/0 (1 ms total) -[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace -[ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle -[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (76 ms) -[ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace -[ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam -[ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (226 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (1 ms) -[ RUN ] ScaleLayerTest/0.TestGradientEltwise -[ OK ] ScaleLayerTest/0.TestGradientEltwise (3 ms) -[ RUN ] ScaleLayerTest/0.TestForwardScale -[ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientScale -[ OK ] ScaleLayerTest/0.TestGradientScale (62 ms) -[ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 -[ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias -[ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (75 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin -[ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (68 ms) -[ RUN ] ScaleLayerTest/0.TestForwardEltwise -[ OK ] ScaleLayerTest/0.TestForwardEltwise (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (74 ms) -[ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam -[ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin -[ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) -[ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace -[ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (0 ms) -[ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 -[ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (55 ms) -[ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd -[ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (124 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle -[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (1 ms) -[ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd -[ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (0 ms) -[----------] 22 tests from ScaleLayerTest/0 (766 ms total) +[----------] 1 test from LayerFactoryTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LayerFactoryTest/0.TestCreateLayer +[ OK ] LayerFactoryTest/0.TestCreateLayer (89 ms) +[----------] 1 test from LayerFactoryTest/0 (91 ms total) -[----------] 9 tests from LSTMLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont -[ OK ] LSTMLayerTest/0.TestLSTMUnitGradientNonZeroCont (25 ms) -[ RUN ] LSTMLayerTest/0.TestLSTMUnitGradient -[ OK ] LSTMLayerTest/0.TestLSTMUnitGradient (26 ms) -[ RUN ] LSTMLayerTest/0.TestForward -[ OK ] LSTMLayerTest/0.TestForward (3 ms) -[ RUN ] LSTMLayerTest/0.TestGradient -[ OK ] LSTMLayerTest/0.TestGradient (135 ms) -[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (1533 ms) -[ RUN ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 -[ OK ] LSTMLayerTest/0.TestGradientNonZeroContBufferSize2 (247 ms) -[ RUN ] LSTMLayerTest/0.TestGradientNonZeroCont -[ OK ] LSTMLayerTest/0.TestGradientNonZeroCont (134 ms) -[ RUN ] LSTMLayerTest/0.TestSetUp -[ OK ] LSTMLayerTest/0.TestSetUp (1 ms) -[ RUN ] LSTMLayerTest/0.TestLSTMUnitSetUp -[ OK ] LSTMLayerTest/0.TestLSTMUnitSetUp (0 ms) -[----------] 9 tests from LSTMLayerTest/0 (2104 ms total) +[----------] 4 tests from UniformFillerTest/1, where TypeParam = double +[ RUN ] UniformFillerTest/1.TestFill +[ OK ] UniformFillerTest/1.TestFill (0 ms) +[ RUN ] UniformFillerTest/1.TestFill5D +[ OK ] UniformFillerTest/1.TestFill5D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill2D +[ OK ] UniformFillerTest/1.TestFill2D (0 ms) +[ RUN ] UniformFillerTest/1.TestFill1D +[ OK ] UniformFillerTest/1.TestFill1D (0 ms) +[----------] 4 tests from UniformFillerTest/1 (1 ms total) -[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BenchmarkTest/1.TestTimerSeconds -[ OK ] BenchmarkTest/1.TestTimerSeconds (300 ms) -[ RUN ] BenchmarkTest/1.TestTimerStop -[ OK ] BenchmarkTest/1.TestTimerStop (0 ms) -[ RUN ] BenchmarkTest/1.TestTimerMilliSeconds -[ OK ] BenchmarkTest/1.TestTimerMilliSeconds (301 ms) -[ RUN ] BenchmarkTest/1.TestTimerStart -[ OK ] BenchmarkTest/1.TestTimerStart (0 ms) -[ RUN ] BenchmarkTest/1.TestTimerConstructor -[ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) -[----------] 5 tests from BenchmarkTest/1 (601 ms total) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestGradient (1 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestIgnoreGradient (0 ms) +[ RUN ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss +[ OK ] SigmoidCrossEntropyLossLayerTest/0.TestSigmoidCrossEntropyLoss (1 ms) +[----------] 3 tests from SigmoidCrossEntropyLossLayerTest/0 (8 ms total) -[----------] 6 tests from XavierFillerTest/1, where TypeParam = double -[ RUN ] XavierFillerTest/1.TestFillFanOut -[ OK ] XavierFillerTest/1.TestFillFanOut (22 ms) -[ RUN ] XavierFillerTest/1.TestFill1D -[ OK ] XavierFillerTest/1.TestFill1D (0 ms) -[ RUN ] XavierFillerTest/1.TestFillFanIn -[ OK ] XavierFillerTest/1.TestFillFanIn (22 ms) -[ RUN ] XavierFillerTest/1.TestFill5D -[ OK ] XavierFillerTest/1.TestFill5D (0 ms) -[ RUN ] XavierFillerTest/1.TestFill2D -[ OK ] XavierFillerTest/1.TestFill2D (0 ms) -[ RUN ] XavierFillerTest/1.TestFillAverage -[ OK ] XavierFillerTest/1.TestFillAverage (22 ms) -[----------] 6 tests from XavierFillerTest/1 (66 ms total) +[----------] 3 tests from BlobMathTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BlobMathTest/0.TestAsum +[ OK ] BlobMathTest/0.TestAsum (0 ms) +[ RUN ] BlobMathTest/0.TestSumOfSquares +[ OK ] BlobMathTest/0.TestSumOfSquares (0 ms) +[ RUN ] BlobMathTest/0.TestScaleData +[ OK ] BlobMathTest/0.TestScaleData (0 ms) +[----------] 3 tests from BlobMathTest/0 (1 ms total) -[----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SPPLayerTest/1.TestEqualOutputDims -[ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) -[ RUN ] SPPLayerTest/1.TestForwardBackward -[ OK ] SPPLayerTest/1.TestForwardBackward (1 ms) -[ RUN ] SPPLayerTest/1.TestGradient -[ OK ] SPPLayerTest/1.TestGradient (1234 ms) -[ RUN ] SPPLayerTest/1.TestEqualOutputDims2 -[ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) -[ RUN ] SPPLayerTest/1.TestSetup -[ OK ] SPPLayerTest/1.TestSetup (0 ms) -[----------] 5 tests from SPPLayerTest/1 (1235 ms total) +[----------] 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.TestGradientWithBias +[ OK ] EmbedLayerTest/1.TestGradientWithBias (149 ms) +[ RUN ] EmbedLayerTest/1.TestGradient +[ OK ] EmbedLayerTest/1.TestGradient (92 ms) +[ RUN ] EmbedLayerTest/1.TestForward +[ OK ] EmbedLayerTest/1.TestForward (0 ms) +[----------] 5 tests from EmbedLayerTest/1 (241 ms total) -[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] Im2colLayerTest/1.TestDilatedGradient -[ OK ] Im2colLayerTest/1.TestDilatedGradient (575 ms) -[ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND -[ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (1021 ms) -[ RUN ] Im2colLayerTest/1.TestForward -[ OK ] Im2colLayerTest/1.TestForward (0 ms) -[ RUN ] Im2colLayerTest/1.TestRectGradient -[ OK ] Im2colLayerTest/1.TestRectGradient (164 ms) -[ RUN ] Im2colLayerTest/1.TestGradientForceND -[ OK ] Im2colLayerTest/1.TestGradientForceND (343 ms) -[ RUN ] Im2colLayerTest/1.TestSetup -[ OK ] Im2colLayerTest/1.TestSetup (0 ms) -[ RUN ] Im2colLayerTest/1.TestRect -[ OK ] Im2colLayerTest/1.TestRect (0 ms) -[ RUN ] Im2colLayerTest/1.TestGradient -[ OK ] Im2colLayerTest/1.TestGradient (194 ms) -[----------] 8 tests from Im2colLayerTest/1 (2297 ms total) +[----------] 3 tests from MaxPoolingDropoutTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] MaxPoolingDropoutTest/0.TestBackward +[ OK ] MaxPoolingDropoutTest/0.TestBackward (0 ms) +[ RUN ] MaxPoolingDropoutTest/0.TestForward +[ OK ] MaxPoolingDropoutTest/0.TestForward (0 ms) +[ RUN ] MaxPoolingDropoutTest/0.TestSetup +[ OK ] MaxPoolingDropoutTest/0.TestSetup (1 ms) +[----------] 3 tests from MaxPoolingDropoutTest/0 (1 ms total) [----------] 1 test from CPUStochasticPoolingLayerTest/1, where TypeParam = double [ RUN ] CPUStochasticPoolingLayerTest/1.TestSetup [ OK ] CPUStochasticPoolingLayerTest/1.TestSetup (0 ms) [----------] 1 test from CPUStochasticPoolingLayerTest/1 (0 ms total) -[----------] 5 tests from DeconvolutionLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] DeconvolutionLayerTest/0.TestSimpleDeconvolution -[ OK ] DeconvolutionLayerTest/0.TestSimpleDeconvolution (0 ms) -[ RUN ] DeconvolutionLayerTest/0.TestGradient3D -[ OK ] DeconvolutionLayerTest/0.TestGradient3D (124 ms) -[ RUN ] DeconvolutionLayerTest/0.TestGradient -[ OK ] DeconvolutionLayerTest/0.TestGradient (404 ms) -[ RUN ] DeconvolutionLayerTest/0.TestSetup -[ OK ] DeconvolutionLayerTest/0.TestSetup (0 ms) -[ RUN ] DeconvolutionLayerTest/0.TestNDAgainst2D -[ OK ] DeconvolutionLayerTest/0.TestNDAgainst2D (584 ms) -[----------] 5 tests from DeconvolutionLayerTest/0 (1113 ms total) - -[----------] 27 tests from ReductionLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ReductionLayerTest/1.TestSetUp -[ OK ] ReductionLayerTest/1.TestSetUp (0 ms) -[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis2 -[ OK ] ReductionLayerTest/1.TestSetUpWithAxis2 (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 -[ OK ] ReductionLayerTest/1.TestMeanCoeffGradientAxis1 (1 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanGradient -[ OK ] ReductionLayerTest/1.TestMeanGradient (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1Gradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSetUpWithAxis1 -[ OK ] ReductionLayerTest/1.TestSetUpWithAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquares -[ OK ] ReductionLayerTest/1.TestSumOfSquares (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeff -[ OK ] ReductionLayerTest/1.TestSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1Gradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/1.TestSumCoeffAxis1Gradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeff -[ OK ] ReductionLayerTest/1.TestMeanCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresGradient -[ OK ] ReductionLayerTest/1.TestSumOfSquaresGradient (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumGradient -[ OK ] ReductionLayerTest/1.TestSumGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumOfSquaresCoeff -[ OK ] ReductionLayerTest/1.TestSumOfSquaresCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeffGradient -[ OK ] ReductionLayerTest/1.TestMeanCoeffGradient (0 ms) -[ RUN ] ReductionLayerTest/1.TestMean -[ OK ] ReductionLayerTest/1.TestMean (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSum -[ OK ] ReductionLayerTest/1.TestAbsSum (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumGradient -[ OK ] ReductionLayerTest/1.TestAbsSumGradient (1 ms) -[ RUN ] ReductionLayerTest/1.TestSum -[ OK ] ReductionLayerTest/1.TestSum (0 ms) -[ RUN ] ReductionLayerTest/1.TestSumCoeffGradient -[ OK ] ReductionLayerTest/1.TestSumCoeffGradient (0 ms) -[ RUN ] ReductionLayerTest/1.TestMeanCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestMeanCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeff -[ OK ] ReductionLayerTest/1.TestAbsSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 -[ OK ] ReductionLayerTest/1.TestAbsSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/1.TestAbsSumCoeffGradient -[ OK ] ReductionLayerTest/1.TestAbsSumCoeffGradient (0 ms) -[----------] 27 tests from ReductionLayerTest/1 (8 ms total) - -[----------] 1 test from HDF5OutputLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5OutputLayerTest/1.TestForward -[ OK ] HDF5OutputLayerTest/1.TestForward (2 ms) -[----------] 1 test from HDF5OutputLayerTest/1 (2 ms total) +[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (6641 ms) +[ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) +[ RUN ] LRNLayerTest/1.TestGradientAcrossChannels +[ OK ] LRNLayerTest/1.TestGradientAcrossChannels (4835 ms) +[ RUN ] LRNLayerTest/1.TestForwardAcrossChannels +[ OK ] LRNLayerTest/1.TestForwardAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/1.TestSetupAcrossChannels +[ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/1.TestGradientWithinChannel +[ OK ] LRNLayerTest/1.TestGradientWithinChannel (4253 ms) +[ RUN ] LRNLayerTest/1.TestForwardWithinChannel +[ OK ] LRNLayerTest/1.TestForwardWithinChannel (1 ms) +[ RUN ] LRNLayerTest/1.TestSetupWithinChannel +[ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) +[----------] 8 tests from LRNLayerTest/1 (15736 ms total) -[----------] 2 tests from InternalThreadTest -[ RUN ] InternalThreadTest.TestStartAndExit -[ OK ] InternalThreadTest.TestStartAndExit (0 ms) -[ RUN ] InternalThreadTest.TestRandomSeed -[ OK ] InternalThreadTest.TestRandomSeed (1 ms) -[----------] 2 tests from InternalThreadTest (1 ms total) +[----------] 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 (9 ms total) -[----------] 4 tests from ContrastiveLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] ContrastiveLossLayerTest/1.TestGradient -[ OK ] ContrastiveLossLayerTest/1.TestGradient (146 ms) -[ RUN ] ContrastiveLossLayerTest/1.TestGradientLegacy -[ OK ] ContrastiveLossLayerTest/1.TestGradientLegacy (139 ms) -[ RUN ] ContrastiveLossLayerTest/1.TestForwardLegacy -[ OK ] ContrastiveLossLayerTest/1.TestForwardLegacy (0 ms) -[ RUN ] ContrastiveLossLayerTest/1.TestForward -[ OK ] ContrastiveLossLayerTest/1.TestForward (1 ms) -[----------] 4 tests from ContrastiveLossLayerTest/1 (286 ms total) +[----------] 5 tests from BenchmarkTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BenchmarkTest/1.TestTimerStart +[ OK ] BenchmarkTest/1.TestTimerStart (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerConstructor +[ OK ] BenchmarkTest/1.TestTimerConstructor (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerMilliSeconds +[ OK ] BenchmarkTest/1.TestTimerMilliSeconds (305 ms) +[ RUN ] BenchmarkTest/1.TestTimerStop +[ OK ] BenchmarkTest/1.TestTimerStop (0 ms) +[ RUN ] BenchmarkTest/1.TestTimerSeconds +[ OK ] BenchmarkTest/1.TestTimerSeconds (304 ms) +[----------] 5 tests from BenchmarkTest/1 (612 ms total) -[----------] 11 tests from PoolingLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] PoolingLayerTest/0.TestForwardMaxPadded -[ OK ] PoolingLayerTest/0.TestForwardMaxPadded (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientMax -[ OK ] PoolingLayerTest/0.TestGradientMax (405 ms) -[ RUN ] PoolingLayerTest/0.TestSetup -[ OK ] PoolingLayerTest/0.TestSetup (0 ms) -[ RUN ] PoolingLayerTest/0.TestForwardMaxTopMask -[ OK ] PoolingLayerTest/0.TestForwardMaxTopMask (0 ms) -[ RUN ] PoolingLayerTest/0.TestForwardMax -[ OK ] PoolingLayerTest/0.TestForwardMax (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientAvePadded -[ OK ] PoolingLayerTest/0.TestGradientAvePadded (522 ms) -[ RUN ] PoolingLayerTest/0.TestSetupGlobalPooling -[ OK ] PoolingLayerTest/0.TestSetupGlobalPooling (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientMaxTopMask -[ OK ] PoolingLayerTest/0.TestGradientMaxTopMask (350 ms) -[ RUN ] PoolingLayerTest/0.TestSetupPadded -[ OK ] PoolingLayerTest/0.TestSetupPadded (0 ms) -[ RUN ] PoolingLayerTest/0.TestGradientAve -[ OK ] PoolingLayerTest/0.TestGradientAve (142 ms) -[ RUN ] PoolingLayerTest/0.TestForwardAve -[ OK ] PoolingLayerTest/0.TestForwardAve (0 ms) -[----------] 11 tests from PoolingLayerTest/0 (1419 ms total) +[----------] 4 tests from NetUpgradeTest +[ RUN ] NetUpgradeTest.TestAllParams +[ OK ] NetUpgradeTest.TestAllParams (8 ms) +[ RUN ] NetUpgradeTest.TestSimple +[ OK ] NetUpgradeTest.TestSimple (2 ms) +[ RUN ] NetUpgradeTest.TestUpgradeV1LayerType +[ OK ] NetUpgradeTest.TestUpgradeV1LayerType (105 ms) +[ RUN ] NetUpgradeTest.TestImageNet +[ OK ] NetUpgradeTest.TestImageNet (5 ms) +[----------] 4 tests from NetUpgradeTest (162 ms total) [----------] 9 tests from AccuracyLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AccuracyLayerTest/1.TestSetupTopK +[ OK ] AccuracyLayerTest/1.TestSetupTopK (1 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel +[ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetup [ OK ] AccuracyLayerTest/1.TestSetup (0 ms) [ RUN ] AccuracyLayerTest/1.TestSetupOutputPerClass [ OK ] AccuracyLayerTest/1.TestSetupOutputPerClass (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardPerClass -[ OK ] AccuracyLayerTest/1.TestForwardPerClass (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardTopK -[ OK ] AccuracyLayerTest/1.TestForwardTopK (2 ms) [ RUN ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel [ OK ] AccuracyLayerTest/1.TestForwardPerClassWithIgnoreLabel (1 ms) -[ RUN ] AccuracyLayerTest/1.TestForward -[ OK ] AccuracyLayerTest/1.TestForward (0 ms) [ RUN ] AccuracyLayerTest/1.TestForwardWithSpatialAxes [ OK ] AccuracyLayerTest/1.TestForwardWithSpatialAxes (0 ms) -[ RUN ] AccuracyLayerTest/1.TestForwardIgnoreLabel -[ OK ] AccuracyLayerTest/1.TestForwardIgnoreLabel (1 ms) -[ RUN ] AccuracyLayerTest/1.TestSetupTopK -[ OK ] AccuracyLayerTest/1.TestSetupTopK (0 ms) -[----------] 9 tests from AccuracyLayerTest/1 (4 ms total) +[ RUN ] AccuracyLayerTest/1.TestForward +[ OK ] AccuracyLayerTest/1.TestForward (0 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardTopK +[ OK ] AccuracyLayerTest/1.TestForwardTopK (5 ms) +[ RUN ] AccuracyLayerTest/1.TestForwardPerClass +[ OK ] AccuracyLayerTest/1.TestForwardPerClass (1 ms) +[----------] 9 tests from AccuracyLayerTest/1 (38 ms total) -[----------] 9 tests from AdaGradSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateLROneHundredth (8 ms) -[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (3 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverything (41 ms) -[ RUN ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaGradSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithEverythingShare (43 ms) -[ RUN ] AdaGradSolverTest/0.TestSnapshot -[ OK ] AdaGradSolverTest/0.TestSnapshot (10 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdate (8 ms) -[ RUN ] AdaGradSolverTest/0.TestSnapshotShare -[ OK ] AdaGradSolverTest/0.TestSnapshotShare (13 ms) -[ RUN ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay -[ OK ] AdaGradSolverTest/0.TestAdaGradLeastSquaresUpdateWithWeightDecay (8 ms) -[----------] 9 tests from AdaGradSolverTest/0 (136 ms total) +[----------] 7 tests from TileLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] TileLayerTest/1.TestTrivialGradient +[ OK ] TileLayerTest/1.TestTrivialGradient (661 ms) +[ RUN ] TileLayerTest/1.TestGradientChannels +[ OK ] TileLayerTest/1.TestGradientChannels (2478 ms) +[ RUN ] TileLayerTest/1.TestTrivialSetup +[ OK ] TileLayerTest/1.TestTrivialSetup (0 ms) +[ RUN ] TileLayerTest/1.TestSetup +[ OK ] TileLayerTest/1.TestSetup (0 ms) +[ RUN ] TileLayerTest/1.TestForwardNum +[ OK ] TileLayerTest/1.TestForwardNum (1 ms) +[ RUN ] TileLayerTest/1.TestForwardChannels +[ OK ] TileLayerTest/1.TestForwardChannels (0 ms) +[ RUN ] TileLayerTest/1.TestGradientNum +[ OK ] TileLayerTest/1.TestGradientNum (420 ms) +[----------] 7 tests from TileLayerTest/1 (3560 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) +[----------] 8 tests from AdamSolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithWeightDecay (56 ms) +[ RUN ] AdamSolverTest/0.TestSnapshot +[ OK ] AdamSolverTest/0.TestSnapshot (152 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverything (285 ms) +[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (20 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdate +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdate (35 ms) +[ RUN ] AdamSolverTest/0.TestSnapshotShare +[ OK ] AdamSolverTest/0.TestSnapshotShare (114 ms) +[ RUN ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare +[ OK ] AdamSolverTest/0.TestAdamLeastSquaresUpdateWithEverythingShare (298 ms) +[ RUN ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdamSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (21 ms) +[----------] 8 tests from AdamSolverTest/0 (1011 ms total) [----------] 27 tests from ReductionLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 -[ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (1 ms) -[ RUN ] ReductionLayerTest/0.TestMeanGradient -[ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) -[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (1 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient -[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 +[ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffGradient +[ OK ] ReductionLayerTest/0.TestSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 +[ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient +[ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestMeanGradient +[ OK ] ReductionLayerTest/0.TestMeanGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/0.TestMean +[ OK ] ReductionLayerTest/0.TestMean (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeff +[ OK ] ReductionLayerTest/0.TestSumCoeff (1 ms) [ RUN ] ReductionLayerTest/0.TestSum [ OK ] ReductionLayerTest/0.TestSum (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient -[ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1 -[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumCoeff -[ OK ] ReductionLayerTest/0.TestSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 -[ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) -[ RUN ] ReductionLayerTest/0.TestSetUp -[ OK ] ReductionLayerTest/0.TestSetUp (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSum -[ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeff -[ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient -[ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (2 ms) [ RUN ] ReductionLayerTest/0.TestMeanCoeff [ OK ] ReductionLayerTest/0.TestMeanCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradient -[ OK ] ReductionLayerTest/0.TestMeanCoeffGradient (0 ms) -[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis2 -[ OK ] ReductionLayerTest/0.TestSetUpWithAxis2 (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1Gradient (1 ms) [ RUN ] ReductionLayerTest/0.TestAbsSumGradient [ OK ] ReductionLayerTest/0.TestAbsSumGradient (1 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient -[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffAxis1Gradient (1 ms) -[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff -[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumGradient -[ OK ] ReductionLayerTest/0.TestSumGradient (0 ms) -[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 -[ OK ] ReductionLayerTest/0.TestAbsSumCoeffAxis1 (0 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresGradient +[ OK ] ReductionLayerTest/0.TestSumOfSquaresGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffAxis1 +[ OK ] ReductionLayerTest/0.TestMeanCoeffAxis1 (0 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient [ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient +[ OK ] ReductionLayerTest/0.TestSumCoeffAxis1Gradient (2 ms) +[ RUN ] ReductionLayerTest/0.TestSumGradient +[ OK ] ReductionLayerTest/0.TestSumGradient (1 ms) [ RUN ] ReductionLayerTest/0.TestSumOfSquares [ OK ] ReductionLayerTest/0.TestSumOfSquares (0 ms) -[ RUN ] ReductionLayerTest/0.TestSetUpWithAxis1 -[ OK ] ReductionLayerTest/0.TestSetUpWithAxis1 (0 ms) -[ RUN ] ReductionLayerTest/0.TestMean -[ OK ] ReductionLayerTest/0.TestMean (0 ms) -[ RUN ] ReductionLayerTest/0.TestSumCoeffGradient -[ OK ] ReductionLayerTest/0.TestSumCoeffGradient (0 ms) -[----------] 27 tests from ReductionLayerTest/0 (8 ms total) +[ RUN ] ReductionLayerTest/0.TestSetUp +[ OK ] ReductionLayerTest/0.TestSetUp (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeff +[ OK ] ReductionLayerTest/0.TestAbsSumCoeff (0 ms) +[ RUN ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 +[ OK ] ReductionLayerTest/0.TestMeanCoeffGradientAxis1 (2 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSumCoeffGradient +[ OK ] ReductionLayerTest/0.TestAbsSumCoeffGradient (1 ms) +[ RUN ] ReductionLayerTest/0.TestSumOfSquaresCoeff +[ OK ] ReductionLayerTest/0.TestSumOfSquaresCoeff (0 ms) +[ RUN ] ReductionLayerTest/0.TestAbsSum +[ OK ] ReductionLayerTest/0.TestAbsSum (0 ms) +[----------] 27 tests from ReductionLayerTest/0 (80 ms total) -[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LSTMLayerTest/1.TestGradient -[ OK ] LSTMLayerTest/1.TestGradient (133 ms) -[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient -[ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (26 ms) -[ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont -[ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (133 ms) -[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont -[ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (26 ms) -[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 -[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (250 ms) -[ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp -[ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (0 ms) -[ RUN ] LSTMLayerTest/1.TestForward -[ OK ] LSTMLayerTest/1.TestForward (3 ms) -[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (1558 ms) -[ RUN ] LSTMLayerTest/1.TestSetUp -[ OK ] LSTMLayerTest/1.TestSetUp (1 ms) -[----------] 9 tests from LSTMLayerTest/1 (2130 ms total) +[----------] 6 tests from MSRAFillerTest/1, where TypeParam = double +[ RUN ] MSRAFillerTest/1.TestFillFanIn +[ OK ] MSRAFillerTest/1.TestFillFanIn (404 ms) +[ RUN ] MSRAFillerTest/1.TestFill1D +[ OK ] MSRAFillerTest/1.TestFill1D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFillAverage +[ OK ] MSRAFillerTest/1.TestFillAverage (646 ms) +[ RUN ] MSRAFillerTest/1.TestFill2D +[ OK ] MSRAFillerTest/1.TestFill2D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFill5D +[ OK ] MSRAFillerTest/1.TestFill5D (0 ms) +[ RUN ] MSRAFillerTest/1.TestFillFanOut +[ OK ] MSRAFillerTest/1.TestFillFanOut (325 ms) +[----------] 6 tests from MSRAFillerTest/1 (1402 ms total) -[----------] 8 tests from SliceLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SliceLayerTest/0.TestGradientTrivial -[ OK ] SliceLayerTest/0.TestGradientTrivial (7 ms) -[ RUN ] SliceLayerTest/0.TestGradientAcrossNum -[ OK ] SliceLayerTest/0.TestGradientAcrossNum (24 ms) -[ RUN ] SliceLayerTest/0.TestSetupChannels -[ OK ] SliceLayerTest/0.TestSetupChannels (0 ms) -[ RUN ] SliceLayerTest/0.TestSetupNum -[ OK ] SliceLayerTest/0.TestSetupNum (0 ms) -[ RUN ] SliceLayerTest/0.TestTrivialSlice -[ OK ] SliceLayerTest/0.TestTrivialSlice (0 ms) -[ RUN ] SliceLayerTest/0.TestGradientAcrossChannels -[ OK ] SliceLayerTest/0.TestGradientAcrossChannels (28 ms) -[ RUN ] SliceLayerTest/0.TestSliceAcrossNum -[ OK ] SliceLayerTest/0.TestSliceAcrossNum (0 ms) -[ RUN ] SliceLayerTest/0.TestSliceAcrossChannels -[ OK ] SliceLayerTest/0.TestSliceAcrossChannels (0 ms) -[----------] 8 tests from SliceLayerTest/0 (59 ms total) +[----------] 12 tests from DataTransformTest/1, where TypeParam = double +[ RUN ] DataTransformTest/1.TestCropTest +[ OK ] DataTransformTest/1.TestCropTest (0 ms) +[ RUN ] DataTransformTest/1.TestCropSize +[ OK ] DataTransformTest/1.TestCropSize (0 ms) +[ RUN ] DataTransformTest/1.TestMeanValue +[ OK ] DataTransformTest/1.TestMeanValue (0 ms) +[ RUN ] DataTransformTest/1.TestMeanFile +[ OK ] DataTransformTest/1.TestMeanFile (0 ms) +[ RUN ] DataTransformTest/1.TestCropMirrorTest +[ OK ] DataTransformTest/1.TestCropMirrorTest (0 ms) +[ RUN ] DataTransformTest/1.TestCropMirrorTrain +[ OK ] DataTransformTest/1.TestCropMirrorTrain (0 ms) +[ RUN ] DataTransformTest/1.TestMeanValues +[ OK ] DataTransformTest/1.TestMeanValues (0 ms) +[ RUN ] DataTransformTest/1.TestEmptyTransformUniquePixels +[ OK ] DataTransformTest/1.TestEmptyTransformUniquePixels (0 ms) +[ RUN ] DataTransformTest/1.TestMirrorTest +[ OK ] DataTransformTest/1.TestMirrorTest (0 ms) +[ RUN ] DataTransformTest/1.TestCropTrain +[ OK ] DataTransformTest/1.TestCropTrain (0 ms) +[ RUN ] DataTransformTest/1.TestEmptyTransform +[ OK ] DataTransformTest/1.TestEmptyTransform (0 ms) +[ RUN ] DataTransformTest/1.TestMirrorTrain +[ OK ] DataTransformTest/1.TestMirrorTrain (0 ms) +[----------] 12 tests from DataTransformTest/1 (3 ms total) -[----------] 26 tests from NetTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] NetTest/0.TestHasLayer -[ OK ] NetTest/0.TestHasLayer (1 ms) -[ RUN ] NetTest/0.TestComboLossWeight -[ OK ] NetTest/0.TestComboLossWeight (2 ms) -[ RUN ] NetTest/0.TestForcePropagateDown -[ OK ] NetTest/0.TestForcePropagateDown (1 ms) -[ RUN ] NetTest/0.TestLossWeight -[ OK ] NetTest/0.TestLossWeight (2 ms) -[ RUN ] NetTest/0.TestHasBlob -[ OK ] NetTest/0.TestHasBlob (1 ms) -[ RUN ] NetTest/0.TestParamPropagateDown -[ OK ] NetTest/0.TestParamPropagateDown (1 ms) -[ RUN ] NetTest/0.TestGetBlob -[ OK ] NetTest/0.TestGetBlob (1 ms) -[ RUN ] NetTest/0.TestBackwardWithAccuracyLayer -[ OK ] NetTest/0.TestBackwardWithAccuracyLayer (1 ms) -[ RUN ] NetTest/0.TestLossWeightMidNet -[ OK ] NetTest/0.TestLossWeightMidNet (2 ms) -[ RUN ] NetTest/0.TestFromTo -[ OK ] NetTest/0.TestFromTo (2 ms) -[ RUN ] NetTest/0.TestAllInOneNetVal -[ OK ] NetTest/0.TestAllInOneNetVal (0 ms) -[ RUN ] NetTest/0.TestSkipPropagateDown -[ OK ] NetTest/0.TestSkipPropagateDown (1 ms) -[ RUN ] NetTest/0.TestUnsharedWeightsDataNet -[ OK ] NetTest/0.TestUnsharedWeightsDataNet (0 ms) -[ RUN ] NetTest/0.TestSharedWeightsDataNet -[ OK ] NetTest/0.TestSharedWeightsDataNet (1 ms) -[ RUN ] NetTest/0.TestUnsharedWeightsDiffNet -[ OK ] NetTest/0.TestUnsharedWeightsDiffNet (0 ms) -[ RUN ] NetTest/0.TestBottomNeedBackwardTricky -[ OK ] NetTest/0.TestBottomNeedBackwardTricky (1 ms) -[ RUN ] NetTest/0.TestBottomNeedBackwardForce -[ OK ] NetTest/0.TestBottomNeedBackwardForce (0 ms) -[ RUN ] NetTest/0.TestAllInOneNetTrain -[ OK ] NetTest/0.TestAllInOneNetTrain (1 ms) -[ RUN ] NetTest/0.TestBottomNeedBackwardEuclideanForce -[ OK ] NetTest/0.TestBottomNeedBackwardEuclideanForce (0 ms) -[ RUN ] NetTest/0.TestReshape -[ OK ] NetTest/0.TestReshape (1 ms) -[ RUN ] NetTest/0.TestGetLayerByName -[ OK ] NetTest/0.TestGetLayerByName (0 ms) -[ RUN ] NetTest/0.TestAllInOneNetDeploy -[ OK ] NetTest/0.TestAllInOneNetDeploy (1 ms) -[ RUN ] NetTest/0.TestBottomNeedBackward -[ OK ] NetTest/0.TestBottomNeedBackward (0 ms) -[ RUN ] NetTest/0.TestSharedWeightsDiffNet -[ OK ] NetTest/0.TestSharedWeightsDiffNet (1 ms) -[ RUN ] NetTest/0.TestSharedWeightsUpdate -[ OK ] NetTest/0.TestSharedWeightsUpdate (0 ms) -[ RUN ] NetTest/0.TestSharedWeightsResume -[ OK ] NetTest/0.TestSharedWeightsResume (1 ms) -[----------] 26 tests from NetTest/0 (22 ms total) +[----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] FilterLayerTest/0.TestGradient +[ OK ] FilterLayerTest/0.TestGradient (947 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 (953 ms total) -[----------] 10 tests from ConcatLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ConcatLayerTest/0.TestGradientTrivial -[ OK ] ConcatLayerTest/0.TestGradientTrivial (1 ms) -[ RUN ] ConcatLayerTest/0.TestGradientChannels -[ OK ] ConcatLayerTest/0.TestGradientChannels (3 ms) -[ RUN ] ConcatLayerTest/0.TestSetupNum -[ OK ] ConcatLayerTest/0.TestSetupNum (0 ms) -[ RUN ] ConcatLayerTest/0.TestSetupChannels -[ OK ] ConcatLayerTest/0.TestSetupChannels (0 ms) -[ RUN ] ConcatLayerTest/0.TestGradientNum -[ OK ] ConcatLayerTest/0.TestGradientNum (3 ms) -[ RUN ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly -[ OK ] ConcatLayerTest/0.TestGradientChannelsBottomOneOnly (2 ms) -[ RUN ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing -[ OK ] ConcatLayerTest/0.TestSetupChannelsNegativeIndexing (0 ms) -[ RUN ] ConcatLayerTest/0.TestForwardChannels -[ OK ] ConcatLayerTest/0.TestForwardChannels (0 ms) -[ RUN ] ConcatLayerTest/0.TestForwardNum -[ OK ] ConcatLayerTest/0.TestForwardNum (0 ms) -[ RUN ] ConcatLayerTest/0.TestForwardTrivial -[ OK ] ConcatLayerTest/0.TestForwardTrivial (0 ms) -[----------] 10 tests from ConcatLayerTest/0 (9 ms total) +[----------] 7 tests from CPUMathFunctionsTest/1, where TypeParam = double +[ RUN ] CPUMathFunctionsTest/1.TestNothing +[ OK ] CPUMathFunctionsTest/1.TestNothing (5 ms) +[ RUN ] CPUMathFunctionsTest/1.TestCopy +[ OK ] CPUMathFunctionsTest/1.TestCopy (18 ms) +[ RUN ] CPUMathFunctionsTest/1.TestSgnbit +[ OK ] CPUMathFunctionsTest/1.TestSgnbit (60 ms) +[ RUN ] CPUMathFunctionsTest/1.TestFabs +[ OK ] CPUMathFunctionsTest/1.TestFabs (34 ms) +[ RUN ] CPUMathFunctionsTest/1.TestAsum +[ OK ] CPUMathFunctionsTest/1.TestAsum (5 ms) +[ RUN ] CPUMathFunctionsTest/1.TestScale +[ OK ] CPUMathFunctionsTest/1.TestScale (34 ms) +[ RUN ] CPUMathFunctionsTest/1.TestSign +[ OK ] CPUMathFunctionsTest/1.TestSign (61 ms) +[----------] 7 tests from CPUMathFunctionsTest/1 (379 ms total) -[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SplitLayerTest/0.TestSetup -[ OK ] SplitLayerTest/0.TestSetup (0 ms) -[ RUN ] SplitLayerTest/0.TestGradient -[ OK ] SplitLayerTest/0.TestGradient (4 ms) -[ RUN ] SplitLayerTest/0.Test -[ OK ] SplitLayerTest/0.Test (0 ms) -[----------] 3 tests from SplitLayerTest/0 (4 ms total) +[----------] 22 tests from ScaleLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ScaleLayerTest/0.TestForwardEltwise +[ OK ] ScaleLayerTest/0.TestForwardEltwise (1 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScale +[ OK ] ScaleLayerTest/0.TestGradientScale (984 ms) +[ RUN ] ScaleLayerTest/0.TestBackwardEltwiseInPlace +[ OK ] ScaleLayerTest/0.TestBackwardEltwiseInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastBegin +[ OK ] ScaleLayerTest/0.TestForwardBroadcastBegin (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardScaleAxis2 +[ OK ] ScaleLayerTest/0.TestForwardScaleAxis2 (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParam (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleInPlace (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastBegin +[ OK ] ScaleLayerTest/0.TestGradientBroadcastBegin (785 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastEnd +[ OK ] ScaleLayerTest/0.TestForwardBroadcastEnd (1 ms) +[ RUN ] ScaleLayerTest/0.TestForwardScale +[ OK ] ScaleLayerTest/0.TestForwardScale (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddle +[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddle (966 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddle +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddle (0 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastEnd +[ OK ] ScaleLayerTest/0.TestGradientBroadcastEnd (1229 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScaleAndBias +[ OK ] ScaleLayerTest/0.TestGradientScaleAndBias (486 ms) +[ RUN ] ScaleLayerTest/0.TestGradientScaleAxis2 +[ OK ] ScaleLayerTest/0.TestGradientScaleAxis2 (359 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwiseInPlace +[ OK ] ScaleLayerTest/0.TestForwardEltwiseInPlace (1 ms) +[ RUN ] ScaleLayerTest/0.TestGradientEltwiseWithParam +[ OK ] ScaleLayerTest/0.TestGradientEltwiseWithParam (780 ms) +[ RUN ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace +[ OK ] ScaleLayerTest/0.TestBackwardBroadcastMiddleInPlace (1 ms) +[ RUN ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam +[ OK ] ScaleLayerTest/0.TestGradientBroadcastMiddleWithParam (565 ms) +[ RUN ] ScaleLayerTest/0.TestGradientEltwise +[ OK ] ScaleLayerTest/0.TestGradientEltwise (18 ms) +[ RUN ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias +[ OK ] ScaleLayerTest/0.TestForwardBroadcastMiddleWithParamAndBias (0 ms) +[ RUN ] ScaleLayerTest/0.TestForwardEltwiseWithParam +[ OK ] ScaleLayerTest/0.TestForwardEltwiseWithParam (0 ms) +[----------] 22 tests from ScaleLayerTest/0 (6246 ms total) -[----------] 6 tests from MVNLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] MVNLayerTest/0.TestForward -[ OK ] MVNLayerTest/0.TestForward (0 ms) -[ RUN ] MVNLayerTest/0.TestGradientMeanOnly -[ OK ] MVNLayerTest/0.TestGradientMeanOnly (70 ms) -[ RUN ] MVNLayerTest/0.TestForwardAcrossChannels -[ OK ] MVNLayerTest/0.TestForwardAcrossChannels (0 ms) -[ RUN ] MVNLayerTest/0.TestForwardMeanOnly -[ OK ] MVNLayerTest/0.TestForwardMeanOnly (0 ms) -[ RUN ] MVNLayerTest/0.TestGradientAcrossChannels -[ OK ] MVNLayerTest/0.TestGradientAcrossChannels (127 ms) -[ RUN ] MVNLayerTest/0.TestGradient -[ OK ] MVNLayerTest/0.TestGradient (125 ms) -[----------] 6 tests from MVNLayerTest/0 (322 ms total) +[----------] 2 tests from HDF5DataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5DataLayerTest/1.TestRead +[ OK ] HDF5DataLayerTest/1.TestRead (84 ms) +[ RUN ] HDF5DataLayerTest/1.TestSkip +[ OK ] HDF5DataLayerTest/1.TestSkip (224 ms) +[----------] 2 tests from HDF5DataLayerTest/1 (308 ms total) -[----------] 8 tests from LRNLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] LRNLayerTest/1.TestSetupWithinChannel -[ OK ] LRNLayerTest/1.TestSetupWithinChannel (0 ms) -[ RUN ] LRNLayerTest/1.TestForwardWithinChannel -[ OK ] LRNLayerTest/1.TestForwardWithinChannel (0 ms) -[ RUN ] LRNLayerTest/1.TestForwardAcrossChannels -[ OK ] LRNLayerTest/1.TestForwardAcrossChannels (1 ms) -[ RUN ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/1.TestGradientAcrossChannelsLargeRegion (600 ms) -[ RUN ] LRNLayerTest/1.TestGradientWithinChannel -[ OK ] LRNLayerTest/1.TestGradientWithinChannel (407 ms) -[ RUN ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion -[ OK ] LRNLayerTest/1.TestForwardAcrossChannelsLargeRegion (1 ms) -[ RUN ] LRNLayerTest/1.TestGradientAcrossChannels -[ OK ] LRNLayerTest/1.TestGradientAcrossChannels (479 ms) -[ RUN ] LRNLayerTest/1.TestSetupAcrossChannels -[ OK ] LRNLayerTest/1.TestSetupAcrossChannels (0 ms) -[----------] 8 tests from LRNLayerTest/1 (1488 ms total) +[----------] 5 tests from DBTest/0, where TypeParam = caffe::TypeLevelDB +[ RUN ] DBTest/0.TestGetDB +[ OK ] DBTest/0.TestGetDB (705 ms) +[ RUN ] DBTest/0.TestSeekToFirst +[ OK ] DBTest/0.TestSeekToFirst (218 ms) +[ RUN ] DBTest/0.TestKeyValue +[ OK ] DBTest/0.TestKeyValue (233 ms) +[ RUN ] DBTest/0.TestWrite +[ OK ] DBTest/0.TestWrite (220 ms) +[ RUN ] DBTest/0.TestNext +[ OK ] DBTest/0.TestNext (115 ms) +[----------] 5 tests from DBTest/0 (1492 ms total) -[----------] 11 tests from AdaDeltaSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] AdaDeltaSolverTest/0.TestSnapshotShare -[ OK ] AdaDeltaSolverTest/0.TestSnapshotShare (13 ms) -[ RUN ] AdaDeltaSolverTest/0.TestSnapshot -[ OK ] AdaDeltaSolverTest/0.TestSnapshot (10 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithMomentum (17 ms) -[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (8 ms) -[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (42 ms) -[ RUN ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaDeltaSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (17 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverything (41 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdate (8 ms) -[ RUN ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare -[ OK ] AdaDeltaSolverTest/0.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (44 ms) -[----------] 11 tests from AdaDeltaSolverTest/0 (205 ms total) +[----------] 1 test from SolverTypeUpgradeTest +[ RUN ] SolverTypeUpgradeTest.TestSimple +[ OK ] SolverTypeUpgradeTest.TestSimple (1 ms) +[----------] 1 test from SolverTypeUpgradeTest (1 ms total) + +[----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ 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 BenchmarkTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BenchmarkTest/0.TestTimerStart +[ OK ] BenchmarkTest/0.TestTimerStart (0 ms) +[ RUN ] BenchmarkTest/0.TestTimerSeconds +[ OK ] BenchmarkTest/0.TestTimerSeconds (301 ms) +[ RUN ] BenchmarkTest/0.TestTimerConstructor +[ OK ] BenchmarkTest/0.TestTimerConstructor (0 ms) +[ RUN ] BenchmarkTest/0.TestTimerStop +[ OK ] BenchmarkTest/0.TestTimerStop (0 ms) +[ RUN ] BenchmarkTest/0.TestTimerMilliSeconds +[ OK ] BenchmarkTest/0.TestTimerMilliSeconds (301 ms) +[----------] 5 tests from BenchmarkTest/0 (602 ms total) + +[----------] 14 tests from DataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] DataLayerTest/1.TestReshapeLevelDB +[ OK ] DataLayerTest/1.TestReshapeLevelDB (114 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLMDB (39 ms) +[ RUN ] DataLayerTest/1.TestReadLevelDB +[ OK ] DataLayerTest/1.TestReadLevelDB (213 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLevelDB (192 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainLMDB (36 ms) +[ RUN ] DataLayerTest/1.TestReadCropTestLevelDB +[ OK ] DataLayerTest/1.TestReadCropTestLevelDB (70 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainLevelDB (58 ms) +[ RUN ] DataLayerTest/1.TestReadLMDB +[ OK ] DataLayerTest/1.TestReadLMDB (120 ms) +[ RUN ] DataLayerTest/1.TestSkipLMDB +[ OK ] DataLayerTest/1.TestSkipLMDB (270 ms) +[ RUN ] DataLayerTest/1.TestReadCropTestLMDB +[ OK ] DataLayerTest/1.TestReadCropTestLMDB (59 ms) +[ RUN ] DataLayerTest/1.TestReshapeLMDB +[ OK ] DataLayerTest/1.TestReshapeLMDB (63 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceSeededLMDB (44 ms) +[ RUN ] DataLayerTest/1.TestSkipLevelDB +[ OK ] DataLayerTest/1.TestSkipLevelDB (799 ms) +[ RUN ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB +[ OK ] DataLayerTest/1.TestReadCropTrainSequenceUnseededLevelDB (139 ms) +[----------] 14 tests from DataLayerTest/1 (2223 ms total) + +[----------] 58 tests from NeuronLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] NeuronLayerTest/1.TestReLUGradient +[ OK ] NeuronLayerTest/1.TestReLUGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestELUasReLU +[ OK ] NeuronLayerTest/1.TestELUasReLU (0 ms) +[ RUN ] NeuronLayerTest/1.TestClipGradient +[ OK ] NeuronLayerTest/1.TestClipGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestELUasReLUGradient +[ OK ] NeuronLayerTest/1.TestELUasReLUGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutTestPhase +[ OK ] NeuronLayerTest/1.TestDropoutTestPhase (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Scale3 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2 (4 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2 (6 ms) +[ RUN ] NeuronLayerTest/1.TestSigmoidGradient +[ OK ] NeuronLayerTest/1.TestSigmoidGradient (6 ms) +[ RUN ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope +[ OK ] NeuronLayerTest/1.TestReLUGradientWithNegativeSlope (3 ms) +[ RUN ] NeuronLayerTest/1.TestSwishWithBeta +[ OK ] NeuronLayerTest/1.TestSwishWithBeta (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerWithShift +[ OK ] NeuronLayerTest/1.TestExpLayerWithShift (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayer +[ OK ] NeuronLayerTest/1.TestExpLayer (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradient +[ OK ] NeuronLayerTest/1.TestLogGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutGradient +[ OK ] NeuronLayerTest/1.TestDropoutGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestTanHGradient +[ OK ] NeuronLayerTest/1.TestTanHGradient (6 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Shift1 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Shift1 (5 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUParam +[ OK ] NeuronLayerTest/1.TestPReLUParam (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishAsLinear +[ OK ] NeuronLayerTest/1.TestSwishAsLinear (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradient +[ OK ] NeuronLayerTest/1.TestExpGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestReLUWithNegativeSlope +[ OK ] NeuronLayerTest/1.TestReLUWithNegativeSlope (1 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientWithShift +[ OK ] NeuronLayerTest/1.TestExpGradientWithShift (3 ms) +[ RUN ] NeuronLayerTest/1.TestBNLLGradient +[ OK ] NeuronLayerTest/1.TestBNLLGradient (5 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutThreeQuarters +[ OK ] NeuronLayerTest/1.TestDropoutThreeQuarters (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishAsLinearGradient +[ OK ] NeuronLayerTest/1.TestSwishAsLinearGradient (4 ms) +[ RUN ] NeuronLayerTest/1.TestExpGradientBase2Scale3 +[ OK ] NeuronLayerTest/1.TestExpGradientBase2Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUForwardChannelShared +[ OK ] NeuronLayerTest/1.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/1.TestAbsVal +[ OK ] NeuronLayerTest/1.TestAbsVal (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUConsistencyReLU +[ OK ] NeuronLayerTest/1.TestPReLUConsistencyReLU (0 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayer +[ OK ] NeuronLayerTest/1.TestLogLayer (0 ms) +[ RUN ] NeuronLayerTest/1.TestTanH +[ OK ] NeuronLayerTest/1.TestTanH (0 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutHalf +[ OK ] NeuronLayerTest/1.TestDropoutHalf (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestBNLL +[ OK ] NeuronLayerTest/1.TestBNLL (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogGradientBase2Scale3 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Scale3 (4 ms) +[ RUN ] NeuronLayerTest/1.TestClip +[ OK ] NeuronLayerTest/1.TestClip (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.TestLogGradientBase2Shift1 +[ OK ] NeuronLayerTest/1.TestLogGradientBase2Shift1 (4 ms) +[ RUN ] NeuronLayerTest/1.TestSwish +[ OK ] NeuronLayerTest/1.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishGradient +[ OK ] NeuronLayerTest/1.TestSwishGradient (7 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUGradientChannelShared +[ OK ] NeuronLayerTest/1.TestPReLUGradientChannelShared (460 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/1.TestELUGradient +[ OK ] NeuronLayerTest/1.TestELUGradient (3 ms) +[ RUN ] NeuronLayerTest/1.TestAbsGradient +[ OK ] NeuronLayerTest/1.TestAbsGradient (2 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUInPlace +[ OK ] NeuronLayerTest/1.TestPReLUInPlace (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUForward +[ OK ] NeuronLayerTest/1.TestPReLUForward (0 ms) +[ RUN ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestLogLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestPReLUGradient +[ OK ] NeuronLayerTest/1.TestPReLUGradient (297 ms) +[ RUN ] NeuronLayerTest/1.TestDropoutGradientTest +[ OK ] NeuronLayerTest/1.TestDropoutGradientTest (2 ms) +[ RUN ] NeuronLayerTest/1.TestSigmoid +[ OK ] NeuronLayerTest/1.TestSigmoid (0 ms) +[ RUN ] NeuronLayerTest/1.TestSwishWithBetaGradient +[ OK ] NeuronLayerTest/1.TestSwishWithBetaGradient (7 ms) +[ RUN ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/1.TestExpLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/1.TestELU +[ OK ] NeuronLayerTest/1.TestELU (0 ms) +[----------] 58 tests from NeuronLayerTest/1 (898 ms total) + +[----------] 14 tests from DataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] DataLayerTest/0.TestSkipLevelDB +[ OK ] DataLayerTest/0.TestSkipLevelDB (4527 ms) +[ RUN ] DataLayerTest/0.TestReadLevelDB +[ OK ] DataLayerTest/0.TestReadLevelDB (207 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainLevelDB (51 ms) +[ RUN ] DataLayerTest/0.TestReadCropTestLevelDB +[ OK ] DataLayerTest/0.TestReadCropTestLevelDB (74 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLevelDB (119 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLMDB (61 ms) +[ RUN ] DataLayerTest/0.TestSkipLMDB +[ OK ] DataLayerTest/0.TestSkipLMDB (149 ms) +[ RUN ] DataLayerTest/0.TestReshapeLMDB +[ OK ] DataLayerTest/0.TestReshapeLMDB (49 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceUnseededLevelDB (141 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainSequenceSeededLMDB (37 ms) +[ RUN ] DataLayerTest/0.TestReadLMDB +[ OK ] DataLayerTest/0.TestReadLMDB (41 ms) +[ RUN ] DataLayerTest/0.TestReadCropTestLMDB +[ OK ] DataLayerTest/0.TestReadCropTestLMDB (41 ms) +[ RUN ] DataLayerTest/0.TestReadCropTrainLMDB +[ OK ] DataLayerTest/0.TestReadCropTrainLMDB (24 ms) +[ RUN ] DataLayerTest/0.TestReshapeLevelDB +[ OK ] DataLayerTest/0.TestReshapeLevelDB (105 ms) +[----------] 14 tests from DataLayerTest/0 (5626 ms total) [----------] 26 tests from NetTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] NetTest/1.TestSharedWeightsDiffNet -[ OK ] NetTest/1.TestSharedWeightsDiffNet (0 ms) +[ RUN ] NetTest/1.TestHasBlob +[ OK ] NetTest/1.TestHasBlob (2 ms) [ RUN ] NetTest/1.TestParamPropagateDown -[ OK ] NetTest/1.TestParamPropagateDown (2 ms) -[ RUN ] NetTest/1.TestLossWeightMidNet -[ OK ] NetTest/1.TestLossWeightMidNet (2 ms) -[ RUN ] NetTest/1.TestReshape -[ OK ] NetTest/1.TestReshape (1 ms) -[ RUN ] NetTest/1.TestBackwardWithAccuracyLayer -[ OK ] NetTest/1.TestBackwardWithAccuracyLayer (1 ms) -[ RUN ] NetTest/1.TestBottomNeedBackwardTricky -[ OK ] NetTest/1.TestBottomNeedBackwardTricky (1 ms) -[ RUN ] NetTest/1.TestForcePropagateDown -[ OK ] NetTest/1.TestForcePropagateDown (0 ms) -[ RUN ] NetTest/1.TestAllInOneNetTrain -[ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) +[ OK ] NetTest/1.TestParamPropagateDown (36 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDiffNet -[ OK ] NetTest/1.TestUnsharedWeightsDiffNet (0 ms) -[ RUN ] NetTest/1.TestHasLayer -[ OK ] NetTest/1.TestHasLayer (1 ms) -[ RUN ] NetTest/1.TestBottomNeedBackwardForce -[ OK ] NetTest/1.TestBottomNeedBackwardForce (0 ms) -[ RUN ] NetTest/1.TestAllInOneNetDeploy -[ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) -[ RUN ] NetTest/1.TestSharedWeightsResume -[ OK ] NetTest/1.TestSharedWeightsResume (0 ms) -[ RUN ] NetTest/1.TestComboLossWeight -[ OK ] NetTest/1.TestComboLossWeight (2 ms) -[ RUN ] NetTest/1.TestGetLayerByName -[ OK ] NetTest/1.TestGetLayerByName (1 ms) +[ OK ] NetTest/1.TestUnsharedWeightsDiffNet (2 ms) +[ RUN ] NetTest/1.TestForcePropagateDown +[ OK ] NetTest/1.TestForcePropagateDown (3 ms) [ RUN ] NetTest/1.TestUnsharedWeightsDataNet -[ OK ] NetTest/1.TestUnsharedWeightsDataNet (0 ms) -[ RUN ] NetTest/1.TestGetBlob -[ OK ] NetTest/1.TestGetBlob (1 ms) -[ RUN ] NetTest/1.TestSkipPropagateDown -[ OK ] NetTest/1.TestSkipPropagateDown (1 ms) -[ RUN ] NetTest/1.TestFromTo -[ OK ] NetTest/1.TestFromTo (1 ms) -[ RUN ] NetTest/1.TestLossWeight -[ OK ] NetTest/1.TestLossWeight (3 ms) +[ OK ] NetTest/1.TestUnsharedWeightsDataNet (2 ms) [ RUN ] NetTest/1.TestSharedWeightsDataNet -[ OK ] NetTest/1.TestSharedWeightsDataNet (0 ms) +[ OK ] NetTest/1.TestSharedWeightsDataNet (1 ms) +[ RUN ] NetTest/1.TestLossWeight +[ OK ] NetTest/1.TestLossWeight (66 ms) +[ RUN ] NetTest/1.TestFromTo +[ OK ] NetTest/1.TestFromTo (16 ms) +[ RUN ] NetTest/1.TestGetLayerByName +[ OK ] NetTest/1.TestGetLayerByName (9 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardTricky +[ OK ] NetTest/1.TestBottomNeedBackwardTricky (3 ms) +[ RUN ] NetTest/1.TestComboLossWeight +[ OK ] NetTest/1.TestComboLossWeight (10 ms) +[ RUN ] NetTest/1.TestGetBlob +[ OK ] NetTest/1.TestGetBlob (2 ms) +[ RUN ] NetTest/1.TestAllInOneNetDeploy +[ OK ] NetTest/1.TestAllInOneNetDeploy (1 ms) +[ RUN ] NetTest/1.TestSharedWeightsDiffNet +[ OK ] NetTest/1.TestSharedWeightsDiffNet (1 ms) +[ RUN ] NetTest/1.TestHasLayer +[ OK ] NetTest/1.TestHasLayer (1 ms) +[ RUN ] NetTest/1.TestReshape +[ OK ] NetTest/1.TestReshape (5 ms) +[ RUN ] NetTest/1.TestSharedWeightsUpdate +[ OK ] NetTest/1.TestSharedWeightsUpdate (3 ms) +[ RUN ] NetTest/1.TestBackwardWithAccuracyLayer +[ OK ] NetTest/1.TestBackwardWithAccuracyLayer (5 ms) [ RUN ] NetTest/1.TestBottomNeedBackwardEuclideanForce [ OK ] NetTest/1.TestBottomNeedBackwardEuclideanForce (1 ms) +[ RUN ] NetTest/1.TestAllInOneNetTrain +[ OK ] NetTest/1.TestAllInOneNetTrain (1 ms) +[ RUN ] NetTest/1.TestLossWeightMidNet +[ OK ] NetTest/1.TestLossWeightMidNet (12 ms) +[ RUN ] NetTest/1.TestSkipPropagateDown +[ OK ] NetTest/1.TestSkipPropagateDown (14 ms) [ RUN ] NetTest/1.TestAllInOneNetVal -[ OK ] NetTest/1.TestAllInOneNetVal (0 ms) +[ OK ] NetTest/1.TestAllInOneNetVal (2 ms) +[ RUN ] NetTest/1.TestSharedWeightsResume +[ OK ] NetTest/1.TestSharedWeightsResume (5 ms) [ RUN ] NetTest/1.TestBottomNeedBackward -[ OK ] NetTest/1.TestBottomNeedBackward (1 ms) -[ RUN ] NetTest/1.TestSharedWeightsUpdate -[ OK ] NetTest/1.TestSharedWeightsUpdate (0 ms) -[ RUN ] NetTest/1.TestHasBlob -[ OK ] NetTest/1.TestHasBlob (1 ms) -[----------] 26 tests from NetTest/1 (22 ms total) - -[----------] 6 tests from FlattenLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] FlattenLayerTest/0.TestSetup -[ OK ] FlattenLayerTest/0.TestSetup (0 ms) -[ RUN ] FlattenLayerTest/0.TestSetupWithEndAxis -[ OK ] FlattenLayerTest/0.TestSetupWithEndAxis (0 ms) -[ RUN ] FlattenLayerTest/0.TestForward -[ OK ] FlattenLayerTest/0.TestForward (0 ms) -[ RUN ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis -[ OK ] FlattenLayerTest/0.TestSetupWithStartAndEndAxis (0 ms) -[ RUN ] FlattenLayerTest/0.TestGradient -[ OK ] FlattenLayerTest/0.TestGradient (2 ms) -[ RUN ] FlattenLayerTest/0.TestSetupWithAxis -[ OK ] FlattenLayerTest/0.TestSetupWithAxis (0 ms) -[----------] 6 tests from FlattenLayerTest/0 (2 ms total) - -[----------] 5 tests from MemoryDataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] MemoryDataLayerTest/0.TestForward -[ OK ] MemoryDataLayerTest/0.TestForward (18 ms) -[ RUN ] MemoryDataLayerTest/0.TestSetBatchSize -[ OK ] MemoryDataLayerTest/0.TestSetBatchSize (1 ms) -[ RUN ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform -[ OK ] MemoryDataLayerTest/0.AddMatVectorDefaultTransform (1 ms) -[ RUN ] MemoryDataLayerTest/0.TestSetup -[ OK ] MemoryDataLayerTest/0.TestSetup (0 ms) -[ RUN ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform -[ OK ] MemoryDataLayerTest/0.AddDatumVectorDefaultTransform (0 ms) -[----------] 5 tests from MemoryDataLayerTest/0 (20 ms total) - -[----------] 2 tests from EuclideanLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] EuclideanLossLayerTest/0.TestForward -[ OK ] EuclideanLossLayerTest/0.TestForward (0 ms) -[ RUN ] EuclideanLossLayerTest/0.TestGradient -[ OK ] EuclideanLossLayerTest/0.TestGradient (1 ms) -[----------] 2 tests from EuclideanLossLayerTest/0 (1 ms total) - -[----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 -[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform -[ OK ] RandomNumberGeneratorTest/1.TestRngUniform (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli -[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (1 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian -[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 -[ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (0 ms) -[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform -[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) -[----------] 11 tests from RandomNumberGeneratorTest/1 (2 ms total) - -[----------] 12 tests from ReshapeLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd -[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesEnd (0 ms) -[ RUN ] ReshapeLayerTest/0.TestFlattenMiddle -[ OK ] ReshapeLayerTest/0.TestFlattenMiddle (0 ms) -[ RUN ] ReshapeLayerTest/0.TestForwardAfterReshape -[ OK ] ReshapeLayerTest/0.TestForwardAfterReshape (0 ms) -[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesStart -[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesStart (1 ms) -[ RUN ] ReshapeLayerTest/0.TestFlattenValues -[ OK ] ReshapeLayerTest/0.TestFlattenValues (0 ms) -[ RUN ] ReshapeLayerTest/0.TestCopyDimensions -[ OK ] ReshapeLayerTest/0.TestCopyDimensions (0 ms) -[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis -[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecifiedWithStartAxis (0 ms) -[ RUN ] ReshapeLayerTest/0.TestForward -[ OK ] ReshapeLayerTest/0.TestForward (0 ms) -[ RUN ] ReshapeLayerTest/0.TestFlattenOutputSizes -[ OK ] ReshapeLayerTest/0.TestFlattenOutputSizes (0 ms) -[ RUN ] ReshapeLayerTest/0.TestGradient -[ OK ] ReshapeLayerTest/0.TestGradient (2 ms) -[ RUN ] ReshapeLayerTest/0.TestInferenceOfUnspecified -[ OK ] ReshapeLayerTest/0.TestInferenceOfUnspecified (0 ms) -[ RUN ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle -[ OK ] ReshapeLayerTest/0.TestInsertSingletonAxesMiddle (0 ms) -[----------] 12 tests from ReshapeLayerTest/0 (3 ms total) - -[----------] 6 tests from MSRAFillerTest/1, where TypeParam = double -[ RUN ] MSRAFillerTest/1.TestFillAverage -[ OK ] MSRAFillerTest/1.TestFillAverage (45 ms) -[ RUN ] MSRAFillerTest/1.TestFill1D -[ OK ] MSRAFillerTest/1.TestFill1D (0 ms) -[ RUN ] MSRAFillerTest/1.TestFill2D -[ OK ] MSRAFillerTest/1.TestFill2D (0 ms) -[ RUN ] MSRAFillerTest/1.TestFill5D -[ OK ] MSRAFillerTest/1.TestFill5D (0 ms) -[ RUN ] MSRAFillerTest/1.TestFillFanOut -[ OK ] MSRAFillerTest/1.TestFillFanOut (46 ms) -[ RUN ] MSRAFillerTest/1.TestFillFanIn -[ OK ] MSRAFillerTest/1.TestFillFanIn (46 ms) -[----------] 6 tests from MSRAFillerTest/1 (137 ms total) +[ OK ] NetTest/1.TestBottomNeedBackward (2 ms) +[ RUN ] NetTest/1.TestBottomNeedBackwardForce +[ OK ] NetTest/1.TestBottomNeedBackwardForce (4 ms) +[----------] 26 tests from NetTest/1 (276 ms total) -[----------] 11 tests from CropLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] CropLayerTest/0.TestCropAllOffset -[ OK ] CropLayerTest/0.TestCropAllOffset (0 ms) -[ RUN ] CropLayerTest/0.TestCropHWGradient -[ OK ] CropLayerTest/0.TestCropHWGradient (235 ms) -[ RUN ] CropLayerTest/0.TestCropAllGradient -[ OK ] CropLayerTest/0.TestCropAllGradient (144 ms) -[ RUN ] CropLayerTest/0.TestSetupShapeNegativeIndexing -[ OK ] CropLayerTest/0.TestSetupShapeNegativeIndexing (0 ms) -[ RUN ] CropLayerTest/0.TestCrop5D -[ OK ] CropLayerTest/0.TestCrop5D (0 ms) -[ RUN ] CropLayerTest/0.TestCropAll -[ OK ] CropLayerTest/0.TestCropAll (0 ms) -[ RUN ] CropLayerTest/0.TestSetupShapeDefault -[ OK ] CropLayerTest/0.TestSetupShapeDefault (0 ms) -[ RUN ] CropLayerTest/0.TestCropHW -[ OK ] CropLayerTest/0.TestCropHW (0 ms) -[ RUN ] CropLayerTest/0.TestDimensionsCheck -[ OK ] CropLayerTest/0.TestDimensionsCheck (0 ms) -[ RUN ] CropLayerTest/0.TestSetupShapeAll -[ OK ] CropLayerTest/0.TestSetupShapeAll (0 ms) -[ RUN ] CropLayerTest/0.TestCrop5DGradient -[ OK ] CropLayerTest/0.TestCrop5DGradient (873 ms) -[----------] 11 tests from CropLayerTest/0 (1252 ms total) +[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ConvolutionLayerTest/0.TestSobelConvolution +[ OK ] ConvolutionLayerTest/0.TestSobelConvolution (1 ms) +[ RUN ] ConvolutionLayerTest/0.Test1x1Convolution +[ OK ] ConvolutionLayerTest/0.Test1x1Convolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradientGroup +[ OK ] ConvolutionLayerTest/0.TestGradientGroup (89 ms) +[ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D +[ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (1341 ms) +[ RUN ] ConvolutionLayerTest/0.Test1x1Gradient +[ OK ] ConvolutionLayerTest/0.Test1x1Gradient (1771 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup +[ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution +[ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (2 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilatedGradient +[ OK ] ConvolutionLayerTest/0.TestDilatedGradient (74 ms) +[ RUN ] ConvolutionLayerTest/0.TestSetup +[ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradient +[ OK ] ConvolutionLayerTest/0.TestGradient (466 ms) +[ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution +[ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (43 ms) +[ RUN ] ConvolutionLayerTest/0.Test0DConvolution +[ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestGradient3D +[ OK ] ConvolutionLayerTest/0.TestGradient3D (2319 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution +[ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution +[ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (3 ms) +[----------] 15 tests from ConvolutionLayerTest/0 (6150 ms total) -[----------] 6 tests from RNNLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] RNNLayerTest/0.TestGradientNonZeroCont -[ OK ] RNNLayerTest/0.TestGradientNonZeroCont (49 ms) -[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 -[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2 (93 ms) -[ RUN ] RNNLayerTest/0.TestForward -[ OK ] RNNLayerTest/0.TestForward (3 ms) -[ RUN ] RNNLayerTest/0.TestGradient -[ OK ] RNNLayerTest/0.TestGradient (47 ms) -[ RUN ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput -[ OK ] RNNLayerTest/0.TestGradientNonZeroContBufferSize2WithStaticInput (424 ms) -[ RUN ] RNNLayerTest/0.TestSetUp -[ OK ] RNNLayerTest/0.TestSetUp (1 ms) -[----------] 6 tests from RNNLayerTest/0 (618 ms total) +[----------] 8 tests from Im2colLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] Im2colLayerTest/1.TestGradientForceND +[ OK ] Im2colLayerTest/1.TestGradientForceND (1326 ms) +[ RUN ] Im2colLayerTest/1.TestDilatedGradientForceND +[ OK ] Im2colLayerTest/1.TestDilatedGradientForceND (8396 ms) +[ RUN ] Im2colLayerTest/1.TestRect +[ OK ] Im2colLayerTest/1.TestRect (0 ms) +[ RUN ] Im2colLayerTest/1.TestDilatedGradient +[ OK ] Im2colLayerTest/1.TestDilatedGradient (5454 ms) +[ RUN ] Im2colLayerTest/1.TestSetup +[ OK ] Im2colLayerTest/1.TestSetup (0 ms) +[ RUN ] Im2colLayerTest/1.TestForward +[ OK ] Im2colLayerTest/1.TestForward (0 ms) +[ RUN ] Im2colLayerTest/1.TestGradient +[ OK ] Im2colLayerTest/1.TestGradient (548 ms) +[ RUN ] Im2colLayerTest/1.TestRectGradient +[ OK ] Im2colLayerTest/1.TestRectGradient (1390 ms) +[----------] 8 tests from Im2colLayerTest/1 (17126 ms total) -[----------] 2 tests from InfogainLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] InfogainLossLayerTest/0.TestInfogainLoss -[ OK ] InfogainLossLayerTest/0.TestInfogainLoss (0 ms) -[ RUN ] InfogainLossLayerTest/0.TestGradient -[ OK ] InfogainLossLayerTest/0.TestGradient (1 ms) -[----------] 2 tests from InfogainLossLayerTest/0 (1 ms total) +[----------] 1 test from HDF5OutputLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HDF5OutputLayerTest/0.TestForward +[ OK ] HDF5OutputLayerTest/0.TestForward (58 ms) +[----------] 1 test from HDF5OutputLayerTest/0 (58 ms total) -[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] FlattenLayerTest/1.TestForward -[ OK ] FlattenLayerTest/1.TestForward (0 ms) -[ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis -[ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) -[ RUN ] FlattenLayerTest/1.TestGradient -[ OK ] FlattenLayerTest/1.TestGradient (2 ms) -[ RUN ] FlattenLayerTest/1.TestSetup -[ OK ] FlattenLayerTest/1.TestSetup (0 ms) -[ RUN ] FlattenLayerTest/1.TestSetupWithAxis -[ OK ] FlattenLayerTest/1.TestSetupWithAxis (0 ms) -[ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis -[ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) -[----------] 6 tests from FlattenLayerTest/1 (2 ms total) +[----------] 15 tests from ConvolutionLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ConvolutionLayerTest/1.TestSimple3DConvolution +[ OK ] ConvolutionLayerTest/1.TestSimple3DConvolution (35 ms) +[ RUN ] ConvolutionLayerTest/1.Test0DConvolution +[ OK ] ConvolutionLayerTest/1.Test0DConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilatedConvolution +[ OK ] ConvolutionLayerTest/1.TestDilatedConvolution (38 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradient +[ OK ] ConvolutionLayerTest/1.TestGradient (636 ms) +[ RUN ] ConvolutionLayerTest/1.Test1x1Convolution +[ OK ] ConvolutionLayerTest/1.Test1x1Convolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradient3D +[ OK ] ConvolutionLayerTest/1.TestGradient3D (5632 ms) +[ RUN ] ConvolutionLayerTest/1.TestSetup +[ OK ] ConvolutionLayerTest/1.TestSetup (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestNDAgainst2D +[ OK ] ConvolutionLayerTest/1.TestNDAgainst2D (4905 ms) +[ RUN ] ConvolutionLayerTest/1.TestGradientGroup +[ OK ] ConvolutionLayerTest/1.TestGradientGroup (123 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilated3DConvolution +[ OK ] ConvolutionLayerTest/1.TestDilated3DConvolution (36 ms) +[ RUN ] ConvolutionLayerTest/1.Test1x1Gradient +[ OK ] ConvolutionLayerTest/1.Test1x1Gradient (2487 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolution +[ OK ] ConvolutionLayerTest/1.TestSimpleConvolution (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestSobelConvolution +[ OK ] ConvolutionLayerTest/1.TestSobelConvolution (1 ms) +[ RUN ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup +[ OK ] ConvolutionLayerTest/1.TestSimpleConvolutionGroup (0 ms) +[ RUN ] ConvolutionLayerTest/1.TestDilatedGradient +[ OK ] ConvolutionLayerTest/1.TestDilatedGradient (142 ms) +[----------] 15 tests from ConvolutionLayerTest/1 (14113 ms total) -[----------] 8 tests from Im2colLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] Im2colLayerTest/0.TestGradient -[ OK ] Im2colLayerTest/0.TestGradient (196 ms) -[ RUN ] Im2colLayerTest/0.TestRect -[ OK ] Im2colLayerTest/0.TestRect (0 ms) -[ RUN ] Im2colLayerTest/0.TestGradientForceND -[ OK ] Im2colLayerTest/0.TestGradientForceND (350 ms) -[ RUN ] Im2colLayerTest/0.TestRectGradient -[ OK ] Im2colLayerTest/0.TestRectGradient (161 ms) -[ RUN ] Im2colLayerTest/0.TestSetup -[ OK ] Im2colLayerTest/0.TestSetup (0 ms) -[ RUN ] Im2colLayerTest/0.TestForward -[ OK ] Im2colLayerTest/0.TestForward (0 ms) -[ RUN ] Im2colLayerTest/0.TestDilatedGradientForceND -[ OK ] Im2colLayerTest/0.TestDilatedGradientForceND (1034 ms) -[ RUN ] Im2colLayerTest/0.TestDilatedGradient -[ OK ] Im2colLayerTest/0.TestDilatedGradient (585 ms) -[----------] 8 tests from Im2colLayerTest/0 (2327 ms total) +[----------] 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 (1 ms) +[----------] 2 tests from HingeLossLayerTest/1 (8 ms total) -[----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ImageDataLayerTest/0.TestShuffle -[ OK ] ImageDataLayerTest/0.TestShuffle (94 ms) -[ RUN ] ImageDataLayerTest/0.TestRead -[ OK ] ImageDataLayerTest/0.TestRead (93 ms) -[ RUN ] ImageDataLayerTest/0.TestResize -[ OK ] ImageDataLayerTest/0.TestResize (76 ms) -[ RUN ] ImageDataLayerTest/0.TestReshape -[ OK ] ImageDataLayerTest/0.TestReshape (26 ms) -[ RUN ] ImageDataLayerTest/0.TestSpace -[ OK ] ImageDataLayerTest/0.TestSpace (27 ms) -[----------] 5 tests from ImageDataLayerTest/0 (316 ms total) +[----------] 1 test from ProtoTest +[ RUN ] ProtoTest.TestSerialization +Printing in binary format. -[----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] BatchNormLayerTest/1.TestGradient -[ OK ] BatchNormLayerTest/1.TestGradient (103 ms) -[ RUN ] BatchNormLayerTest/1.TestForwardInplace -[ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) -[ RUN ] BatchNormLayerTest/1.TestForward -[ OK ] BatchNormLayerTest/1.TestForward (0 ms) -[----------] 3 tests from BatchNormLayerTest/1 (103 ms total) +testTest +Printing in text format. +name: "test" +type: "Test" -[----------] 10 tests from EltwiseLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] EltwiseLayerTest/1.TestSumCoeff -[ OK ] EltwiseLayerTest/1.TestSumCoeff (0 ms) -[ RUN ] EltwiseLayerTest/1.TestSetUp -[ OK ] EltwiseLayerTest/1.TestSetUp (0 ms) -[ RUN ] EltwiseLayerTest/1.TestProd -[ OK ] EltwiseLayerTest/1.TestProd (0 ms) -[ RUN ] EltwiseLayerTest/1.TestMaxGradient -[ OK ] EltwiseLayerTest/1.TestMaxGradient (3 ms) -[ RUN ] EltwiseLayerTest/1.TestSum -[ OK ] EltwiseLayerTest/1.TestSum (0 ms) -[ RUN ] EltwiseLayerTest/1.TestStableProdGradient -[ OK ] EltwiseLayerTest/1.TestStableProdGradient (2 ms) -[ RUN ] EltwiseLayerTest/1.TestUnstableProdGradient -[ OK ] EltwiseLayerTest/1.TestUnstableProdGradient (3 ms) -[ RUN ] EltwiseLayerTest/1.TestSumGradient -[ OK ] EltwiseLayerTest/1.TestSumGradient (2 ms) -[ RUN ] EltwiseLayerTest/1.TestSumCoeffGradient -[ OK ] EltwiseLayerTest/1.TestSumCoeffGradient (3 ms) -[ RUN ] EltwiseLayerTest/1.TestMax -[ OK ] EltwiseLayerTest/1.TestMax (0 ms) -[----------] 10 tests from EltwiseLayerTest/1 (14 ms total) +[ OK ] ProtoTest.TestSerialization (1 ms) +[----------] 1 test from ProtoTest (1 ms total) -[----------] 4 tests from SoftmaxWithLossLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/0.TestGradientIgnoreLabel (5 ms) -[ RUN ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized -[ OK ] SoftmaxWithLossLayerTest/0.TestGradientUnnormalized (4 ms) -[ RUN ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/0.TestForwardIgnoreLabel (0 ms) -[ RUN ] SoftmaxWithLossLayerTest/0.TestGradient -[ OK ] SoftmaxWithLossLayerTest/0.TestGradient (4 ms) -[----------] 4 tests from SoftmaxWithLossLayerTest/0 (13 ms total) +[----------] 4 tests from PositiveUnitballFillerTest/1, where TypeParam = double +[ RUN ] PositiveUnitballFillerTest/1.TestFill2D +[ OK ] PositiveUnitballFillerTest/1.TestFill2D (0 ms) +[ RUN ] PositiveUnitballFillerTest/1.TestFill1D +[ OK ] PositiveUnitballFillerTest/1.TestFill1D (0 ms) +[ RUN ] PositiveUnitballFillerTest/1.TestFill +[ OK ] PositiveUnitballFillerTest/1.TestFill (0 ms) +[ RUN ] PositiveUnitballFillerTest/1.TestFill5D +[ OK ] PositiveUnitballFillerTest/1.TestFill5D (0 ms) +[----------] 4 tests from PositiveUnitballFillerTest/1 (2 ms total) [----------] 3 tests from MaxPoolingDropoutTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] MaxPoolingDropoutTest/1.TestBackward -[ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestSetup [ OK ] MaxPoolingDropoutTest/1.TestSetup (0 ms) [ RUN ] MaxPoolingDropoutTest/1.TestForward -[ OK ] MaxPoolingDropoutTest/1.TestForward (1 ms) -[----------] 3 tests from MaxPoolingDropoutTest/1 (1 ms total) +[ OK ] MaxPoolingDropoutTest/1.TestForward (0 ms) +[ RUN ] MaxPoolingDropoutTest/1.TestBackward +[ OK ] MaxPoolingDropoutTest/1.TestBackward (0 ms) +[----------] 3 tests from MaxPoolingDropoutTest/1 (5 ms total) -[----------] 4 tests from BlobSimpleTest/1, where TypeParam = double -[ RUN ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals -[ OK ] BlobSimpleTest/1.TestLegacyBlobProtoShapeEquals (0 ms) -[ RUN ] BlobSimpleTest/1.TestReshape -[ OK ] BlobSimpleTest/1.TestReshape (0 ms) -[ RUN ] BlobSimpleTest/1.TestReshapeZero -[ OK ] BlobSimpleTest/1.TestReshapeZero (0 ms) -[ RUN ] BlobSimpleTest/1.TestInitialization -[ OK ] BlobSimpleTest/1.TestInitialization (0 ms) -[----------] 4 tests from BlobSimpleTest/1 (0 ms total) +[----------] 2 tests from BatchReindexLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] BatchReindexLayerTest/0.TestForward +[ OK ] BatchReindexLayerTest/0.TestForward (1 ms) +[ RUN ] BatchReindexLayerTest/0.TestGradient +[ OK ] BatchReindexLayerTest/0.TestGradient (424 ms) +[----------] 2 tests from BatchReindexLayerTest/0 (426 ms total) -[----------] 3 tests from FilterLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] FilterLayerTest/0.TestForward -[ OK ] FilterLayerTest/0.TestForward (0 ms) -[ RUN ] FilterLayerTest/0.TestReshape -[ OK ] FilterLayerTest/0.TestReshape (0 ms) -[ RUN ] FilterLayerTest/0.TestGradient -[ OK ] FilterLayerTest/0.TestGradient (176 ms) -[----------] 3 tests from FilterLayerTest/0 (176 ms total) +[----------] 6 tests from XavierFillerTest/1, where TypeParam = double +[ RUN ] XavierFillerTest/1.TestFillAverage +[ OK ] XavierFillerTest/1.TestFillAverage (104 ms) +[ RUN ] XavierFillerTest/1.TestFill2D +[ OK ] XavierFillerTest/1.TestFill2D (0 ms) +[ RUN ] XavierFillerTest/1.TestFillFanIn +[ OK ] XavierFillerTest/1.TestFillFanIn (93 ms) +[ RUN ] XavierFillerTest/1.TestFill5D +[ OK ] XavierFillerTest/1.TestFill5D (0 ms) +[ RUN ] XavierFillerTest/1.TestFillFanOut +[ OK ] XavierFillerTest/1.TestFillFanOut (171 ms) +[ RUN ] XavierFillerTest/1.TestFill1D +[ OK ] XavierFillerTest/1.TestFill1D (1 ms) +[----------] 6 tests from XavierFillerTest/1 (381 ms total) -[----------] 4 tests from PositiveUnitballFillerTest/0, where TypeParam = float -[ RUN ] PositiveUnitballFillerTest/0.TestFill -[ OK ] PositiveUnitballFillerTest/0.TestFill (0 ms) -[ RUN ] PositiveUnitballFillerTest/0.TestFill2D -[ OK ] PositiveUnitballFillerTest/0.TestFill2D (0 ms) -[ RUN ] PositiveUnitballFillerTest/0.TestFill1D -[ OK ] PositiveUnitballFillerTest/0.TestFill1D (0 ms) -[ RUN ] PositiveUnitballFillerTest/0.TestFill5D -[ OK ] PositiveUnitballFillerTest/0.TestFill5D (0 ms) -[----------] 4 tests from PositiveUnitballFillerTest/0 (0 ms total) +[----------] 9 tests from LSTMLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] LSTMLayerTest/1.TestSetUp +[ OK ] LSTMLayerTest/1.TestSetUp (4 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitSetUp +[ OK ] LSTMLayerTest/1.TestLSTMUnitSetUp (1 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradient +[ OK ] LSTMLayerTest/1.TestLSTMUnitGradient (367 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroCont +[ OK ] LSTMLayerTest/1.TestGradientNonZeroCont (1012 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 +[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2 (2283 ms) +[ RUN ] LSTMLayerTest/1.TestForward +[ OK ] LSTMLayerTest/1.TestForward (7 ms) +[ RUN ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput +[ OK ] LSTMLayerTest/1.TestGradientNonZeroContBufferSize2WithStaticInput (15750 ms) +[ RUN ] LSTMLayerTest/1.TestGradient +[ OK ] LSTMLayerTest/1.TestGradient (1165 ms) +[ RUN ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont +[ OK ] LSTMLayerTest/1.TestLSTMUnitGradientNonZeroCont (220 ms) +[----------] 9 tests from LSTMLayerTest/1 (20834 ms total) + +[----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SolverFactoryTest/0.TestCreateSolver +[ OK ] SolverFactoryTest/0.TestCreateSolver (2 ms) +[----------] 1 test from SolverFactoryTest/0 (17 ms total) + +[----------] 4 tests from BlobSimpleTest/0, where TypeParam = float +[ RUN ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals +[ OK ] BlobSimpleTest/0.TestLegacyBlobProtoShapeEquals (0 ms) +[ RUN ] BlobSimpleTest/0.TestReshapeZero +[ OK ] BlobSimpleTest/0.TestReshapeZero (0 ms) +[ RUN ] BlobSimpleTest/0.TestInitialization +[ OK ] BlobSimpleTest/0.TestInitialization (0 ms) +[ RUN ] BlobSimpleTest/0.TestReshape +[ OK ] BlobSimpleTest/0.TestReshape (0 ms) +[----------] 4 tests from BlobSimpleTest/0 (3 ms total) [----------] 3 tests from ThresholdLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ThresholdLayerTest/0.Test2 -[ OK ] ThresholdLayerTest/0.Test2 (0 ms) [ RUN ] ThresholdLayerTest/0.TestSetup [ OK ] ThresholdLayerTest/0.TestSetup (0 ms) [ RUN ] ThresholdLayerTest/0.Test [ OK ] ThresholdLayerTest/0.Test (0 ms) -[----------] 3 tests from ThresholdLayerTest/0 (0 ms total) - -[----------] 1 test from SolverFactoryTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SolverFactoryTest/0.TestCreateSolver -[ OK ] SolverFactoryTest/0.TestCreateSolver (1 ms) -[----------] 1 test from SolverFactoryTest/0 (1 ms total) +[ RUN ] ThresholdLayerTest/0.Test2 +[ OK ] ThresholdLayerTest/0.Test2 (0 ms) +[----------] 3 tests from ThresholdLayerTest/0 (1 ms total) -[----------] 12 tests from NesterovSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (3 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (44 ms) -[ RUN ] NesterovSolverTest/1.TestSnapshot -[ OK ] NesterovSolverTest/1.TestSnapshot (12 ms) -[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (45 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverything (45 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdate (8 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithEverythingShare (46 ms) -[ RUN ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] NesterovSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateLROneHundredth (10 ms) -[ RUN ] NesterovSolverTest/1.TestSnapshotShare -[ OK ] NesterovSolverTest/1.TestSnapshotShare (13 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithWeightDecay (9 ms) -[ RUN ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum -[ OK ] NesterovSolverTest/1.TestNesterovLeastSquaresUpdateWithMomentum (18 ms) -[----------] 12 tests from NesterovSolverTest/1 (256 ms total) +[----------] 5 tests from SPPLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SPPLayerTest/1.TestGradient +[ OK ] SPPLayerTest/1.TestGradient (14114 ms) +[ RUN ] SPPLayerTest/1.TestEqualOutputDims2 +[ OK ] SPPLayerTest/1.TestEqualOutputDims2 (0 ms) +[ RUN ] SPPLayerTest/1.TestEqualOutputDims +[ OK ] SPPLayerTest/1.TestEqualOutputDims (0 ms) +[ RUN ] SPPLayerTest/1.TestForwardBackward +[ OK ] SPPLayerTest/1.TestForwardBackward (0 ms) +[ RUN ] SPPLayerTest/1.TestSetup +[ OK ] SPPLayerTest/1.TestSetup (0 ms) +[----------] 5 tests from SPPLayerTest/1 (14114 ms total) -[----------] 9 tests from InnerProductLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeFalse -[ OK ] InnerProductLayerTest/0.TestSetUpTransposeFalse (0 ms) -[ RUN ] InnerProductLayerTest/0.TestForwardTranspose -[ OK ] InnerProductLayerTest/0.TestForwardTranspose (0 ms) -[ RUN ] InnerProductLayerTest/0.TestBackwardTranspose -[ OK ] InnerProductLayerTest/0.TestBackwardTranspose (0 ms) -[ RUN ] InnerProductLayerTest/0.TestForwardNoBatch -[ OK ] InnerProductLayerTest/0.TestForwardNoBatch (0 ms) -[ RUN ] InnerProductLayerTest/0.TestSetUpTransposeTrue -[ OK ] InnerProductLayerTest/0.TestSetUpTransposeTrue (0 ms) -[ RUN ] InnerProductLayerTest/0.TestGradientTranspose -[ OK ] InnerProductLayerTest/0.TestGradientTranspose (103 ms) -[ RUN ] InnerProductLayerTest/0.TestForward -[ OK ] InnerProductLayerTest/0.TestForward (0 ms) -[ RUN ] InnerProductLayerTest/0.TestSetUp -[ OK ] InnerProductLayerTest/0.TestSetUp (0 ms) -[ RUN ] InnerProductLayerTest/0.TestGradient -[ OK ] InnerProductLayerTest/0.TestGradient (82 ms) -[----------] 9 tests from InnerProductLayerTest/0 (185 ms total) +[----------] 1 test from SolverTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SolverTest/0.TestInitTrainTestNets +[ OK ] SolverTest/0.TestInitTrainTestNets (6 ms) +[----------] 1 test from SolverTest/0 (7 ms total) -[----------] 3 tests from FilterLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] FilterLayerTest/1.TestGradient -[ OK ] FilterLayerTest/1.TestGradient (180 ms) -[ RUN ] FilterLayerTest/1.TestReshape -[ OK ] FilterLayerTest/1.TestReshape (0 ms) -[ RUN ] FilterLayerTest/1.TestForward -[ OK ] FilterLayerTest/1.TestForward (0 ms) -[----------] 3 tests from FilterLayerTest/1 (180 ms total) +[----------] 58 tests from NeuronLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] NeuronLayerTest/0.TestAbsVal +[ OK ] NeuronLayerTest/0.TestAbsVal (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwish +[ OK ] NeuronLayerTest/0.TestSwish (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/0.TestReLUWithNegativeSlope +[ OK ] NeuronLayerTest/0.TestReLUWithNegativeSlope (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUForward +[ OK ] NeuronLayerTest/0.TestPReLUForward (0 ms) +[ RUN ] NeuronLayerTest/0.TestTanH +[ OK ] NeuronLayerTest/0.TestTanH (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishAsLinearGradient +[ OK ] NeuronLayerTest/0.TestSwishAsLinearGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutGradientTest +[ OK ] NeuronLayerTest/0.TestDropoutGradientTest (5 ms) +[ RUN ] NeuronLayerTest/0.TestELUGradient +[ OK ] NeuronLayerTest/0.TestELUGradient (3 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2 (3 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUForwardChannelShared +[ OK ] NeuronLayerTest/0.TestPReLUForwardChannelShared (0 ms) +[ RUN ] NeuronLayerTest/0.TestClip +[ OK ] NeuronLayerTest/0.TestClip (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Scale3 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestReLU +[ OK ] NeuronLayerTest/0.TestReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradient +[ OK ] NeuronLayerTest/0.TestLogGradient (3 ms) +[ RUN ] NeuronLayerTest/0.TestSwishWithBeta +[ OK ] NeuronLayerTest/0.TestSwishWithBeta (0 ms) +[ RUN ] NeuronLayerTest/0.TestBNLL +[ OK ] NeuronLayerTest/0.TestBNLL (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1Scale3 (3 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUInPlace +[ OK ] NeuronLayerTest/0.TestPReLUInPlace (1 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1Scale3 (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayer +[ OK ] NeuronLayerTest/0.TestLogLayer (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1Scale3 (3 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Shift1 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Shift1 (9 ms) +[ RUN ] NeuronLayerTest/0.TestSwishAsLinear +[ OK ] NeuronLayerTest/0.TestSwishAsLinear (1 ms) +[ RUN ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope +[ OK ] NeuronLayerTest/0.TestReLUGradientWithNegativeSlope (2 ms) +[ RUN ] NeuronLayerTest/0.TestSigmoid +[ OK ] NeuronLayerTest/0.TestSigmoid (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientWithShift +[ OK ] NeuronLayerTest/0.TestExpGradientWithShift (3 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayer +[ OK ] NeuronLayerTest/0.TestExpLayer (0 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutThreeQuarters +[ OK ] NeuronLayerTest/0.TestDropoutThreeQuarters (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2Shift1 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2Shift1 (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Shift1 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Shift1 (3 ms) +[ RUN ] NeuronLayerTest/0.TestSwishWithBetaGradient +[ OK ] NeuronLayerTest/0.TestSwishWithBetaGradient (35 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradientBase2Scale3 +[ OK ] NeuronLayerTest/0.TestExpGradientBase2Scale3 (39 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutTestPhase +[ OK ] NeuronLayerTest/0.TestDropoutTestPhase (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUConsistencyReLU +[ OK ] NeuronLayerTest/0.TestPReLUConsistencyReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutHalf +[ OK ] NeuronLayerTest/0.TestDropoutHalf (0 ms) +[ RUN ] NeuronLayerTest/0.TestTanHGradient +[ OK ] NeuronLayerTest/0.TestTanHGradient (16 ms) +[ RUN ] NeuronLayerTest/0.TestELU +[ OK ] NeuronLayerTest/0.TestELU (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUGradientChannelShared +[ OK ] NeuronLayerTest/0.TestPReLUGradientChannelShared (1046 ms) +[ RUN ] NeuronLayerTest/0.TestExpGradient +[ OK ] NeuronLayerTest/0.TestExpGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestELUasReLUGradient +[ OK ] NeuronLayerTest/0.TestELUasReLUGradient (4 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerWithShift +[ OK ] NeuronLayerTest/0.TestExpLayerWithShift (0 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2Scale3 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2Scale3 (4 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2Scale3 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2Scale3 (1 ms) +[ RUN ] NeuronLayerTest/0.TestBNLLGradient +[ OK ] NeuronLayerTest/0.TestBNLLGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestLogLayerBase2 +[ OK ] NeuronLayerTest/0.TestLogLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUParam +[ OK ] NeuronLayerTest/0.TestPReLUParam (0 ms) +[ RUN ] NeuronLayerTest/0.TestExpLayerBase2 +[ OK ] NeuronLayerTest/0.TestExpLayerBase2 (0 ms) +[ RUN ] NeuronLayerTest/0.TestSwishGradient +[ OK ] NeuronLayerTest/0.TestSwishGradient (6 ms) +[ RUN ] NeuronLayerTest/0.TestELUasReLU +[ OK ] NeuronLayerTest/0.TestELUasReLU (0 ms) +[ RUN ] NeuronLayerTest/0.TestSigmoidGradient +[ OK ] NeuronLayerTest/0.TestSigmoidGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestPReLUGradient +[ OK ] NeuronLayerTest/0.TestPReLUGradient (398 ms) +[ RUN ] NeuronLayerTest/0.TestAbsGradient +[ OK ] NeuronLayerTest/0.TestAbsGradient (3 ms) +[ RUN ] NeuronLayerTest/0.TestClipGradient +[ OK ] NeuronLayerTest/0.TestClipGradient (5 ms) +[ RUN ] NeuronLayerTest/0.TestLogGradientBase2 +[ OK ] NeuronLayerTest/0.TestLogGradientBase2 (9 ms) +[ RUN ] NeuronLayerTest/0.TestDropoutGradient +[ OK ] NeuronLayerTest/0.TestDropoutGradient (4 ms) +[ RUN ] NeuronLayerTest/0.TestReLUGradient +[ OK ] NeuronLayerTest/0.TestReLUGradient (2 ms) +[----------] 58 tests from NeuronLayerTest/0 (1714 ms total) -[----------] 2 tests from HDF5DataLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] HDF5DataLayerTest/0.TestRead -[ OK ] HDF5DataLayerTest/0.TestRead (4 ms) -[ RUN ] HDF5DataLayerTest/0.TestSkip -[ OK ] HDF5DataLayerTest/0.TestSkip (10 ms) -[----------] 2 tests from HDF5DataLayerTest/0 (14 ms total) +[----------] 5 tests from DBTest/1, where TypeParam = caffe::TypeLMDB +[ RUN ] DBTest/1.TestSeekToFirst +[ OK ] DBTest/1.TestSeekToFirst (89 ms) +[ RUN ] DBTest/1.TestWrite +[ OK ] DBTest/1.TestWrite (152 ms) +[ RUN ] DBTest/1.TestGetDB +[ OK ] DBTest/1.TestGetDB (62 ms) +[ RUN ] DBTest/1.TestNext +[ OK ] DBTest/1.TestNext (105 ms) +[ RUN ] DBTest/1.TestKeyValue +[ OK ] DBTest/1.TestKeyValue (107 ms) +[----------] 5 tests from DBTest/1 (536 ms total) -[----------] 11 tests from AdaDeltaSolverTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithWeightDecay (9 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithHalfMomentum (18 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverythingShare (47 ms) -[ RUN ] AdaDeltaSolverTest/1.TestSnapshotShare -[ OK ] AdaDeltaSolverTest/1.TestSnapshotShare (14 ms) -[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (404 ms) -[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithMomentum (18 ms) -[ RUN ] AdaDeltaSolverTest/1.TestSnapshot -[ OK ] AdaDeltaSolverTest/1.TestSnapshot (515 ms) -[ RUN ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] AdaDeltaSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdate (9 ms) -[ RUN ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything -[ OK ] AdaDeltaSolverTest/1.TestAdaDeltaLeastSquaresUpdateWithEverything (212 ms) -[----------] 11 tests from AdaDeltaSolverTest/1 (1250 ms total) +[----------] 1 test from CPUStochasticPoolingLayerTest/0, where TypeParam = float +[ RUN ] CPUStochasticPoolingLayerTest/0.TestSetup +[ OK ] CPUStochasticPoolingLayerTest/0.TestSetup (0 ms) +[----------] 1 test from CPUStochasticPoolingLayerTest/0 (0 ms total) -[----------] 3 tests from PaddingLayerUpgradeTest -[ RUN ] PaddingLayerUpgradeTest.TestTwoTops -[ OK ] PaddingLayerUpgradeTest.TestTwoTops (1 ms) -[ RUN ] PaddingLayerUpgradeTest.TestSimple -[ OK ] PaddingLayerUpgradeTest.TestSimple (0 ms) -[ RUN ] PaddingLayerUpgradeTest.TestImageNet -[ OK ] PaddingLayerUpgradeTest.TestImageNet (1 ms) -[----------] 3 tests from PaddingLayerUpgradeTest (2 ms total) +[----------] 8 tests from RMSPropSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] RMSPropSolverTest/1.TestSnapshot +[ OK ] RMSPropSolverTest/1.TestSnapshot (271 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverythingShare (448 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithEverything (603 ms) +[ RUN ] RMSPropSolverTest/1.TestSnapshotShare +[ OK ] RMSPropSolverTest/1.TestSnapshotShare (207 ms) +[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (9 ms) +[ RUN ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] RMSPropSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (50 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithWeightDecay (108 ms) +[ RUN ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay +[ OK ] RMSPropSolverTest/1.TestRMSPropLeastSquaresUpdateWithRmsDecay (269 ms) +[----------] 8 tests from RMSPropSolverTest/1 (2012 ms total) -[----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] MemoryDataLayerTest/1.TestForward -[ OK ] MemoryDataLayerTest/1.TestForward (17 ms) -[ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform -[ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (1 ms) -[ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform -[ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (0 ms) -[ RUN ] MemoryDataLayerTest/1.TestSetBatchSize -[ OK ] MemoryDataLayerTest/1.TestSetBatchSize (1 ms) -[ RUN ] MemoryDataLayerTest/1.TestSetup -[ OK ] MemoryDataLayerTest/1.TestSetup (1 ms) -[----------] 5 tests from MemoryDataLayerTest/1 (20 ms total) +[----------] 4 tests from GaussianFillerTest/0, where TypeParam = float +[ RUN ] GaussianFillerTest/0.TestFill5D +[ OK ] GaussianFillerTest/0.TestFill5D (0 ms) +[ RUN ] GaussianFillerTest/0.TestFill +[ OK ] GaussianFillerTest/0.TestFill (0 ms) +[ RUN ] GaussianFillerTest/0.TestFill1D +[ OK ] GaussianFillerTest/0.TestFill1D (1 ms) +[ RUN ] GaussianFillerTest/0.TestFill2D +[ OK ] GaussianFillerTest/0.TestFill2D (0 ms) +[----------] 4 tests from GaussianFillerTest/0 (1 ms total) -[----------] 15 tests from ConvolutionLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolution -[ OK ] ConvolutionLayerTest/0.TestSimpleConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/0.TestSetup -[ OK ] ConvolutionLayerTest/0.TestSetup (0 ms) -[ RUN ] ConvolutionLayerTest/0.Test0DConvolution -[ OK ] ConvolutionLayerTest/0.Test0DConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/0.TestGradient -[ OK ] ConvolutionLayerTest/0.TestGradient (48 ms) -[ RUN ] ConvolutionLayerTest/0.TestGradient3D -[ OK ] ConvolutionLayerTest/0.TestGradient3D (406 ms) -[ RUN ] ConvolutionLayerTest/0.TestNDAgainst2D -[ OK ] ConvolutionLayerTest/0.TestNDAgainst2D (234 ms) -[ RUN ] ConvolutionLayerTest/0.TestSobelConvolution -[ OK ] ConvolutionLayerTest/0.TestSobelConvolution (0 ms) -[ RUN ] ConvolutionLayerTest/0.Test1x1Convolution -[ OK ] ConvolutionLayerTest/0.Test1x1Convolution (1 ms) -[ RUN ] ConvolutionLayerTest/0.TestDilatedGradient -[ OK ] ConvolutionLayerTest/0.TestDilatedGradient (12 ms) -[ RUN ] ConvolutionLayerTest/0.TestSimple3DConvolution -[ OK ] ConvolutionLayerTest/0.TestSimple3DConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/0.TestGradientGroup -[ OK ] ConvolutionLayerTest/0.TestGradientGroup (13 ms) -[ RUN ] ConvolutionLayerTest/0.Test1x1Gradient -[ OK ] ConvolutionLayerTest/0.Test1x1Gradient (372 ms) -[ RUN ] ConvolutionLayerTest/0.TestDilated3DConvolution -[ OK ] ConvolutionLayerTest/0.TestDilated3DConvolution (6 ms) -[ RUN ] ConvolutionLayerTest/0.TestDilatedConvolution -[ OK ] ConvolutionLayerTest/0.TestDilatedConvolution (1 ms) -[ RUN ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup -[ OK ] ConvolutionLayerTest/0.TestSimpleConvolutionGroup (0 ms) -[----------] 15 tests from ConvolutionLayerTest/0 (1094 ms total) +[----------] 8 tests from SliceLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SliceLayerTest/1.TestSliceAcrossChannels +[ OK ] SliceLayerTest/1.TestSliceAcrossChannels (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientAcrossNum +[ OK ] SliceLayerTest/1.TestGradientAcrossNum (99 ms) +[ RUN ] SliceLayerTest/1.TestSliceAcrossNum +[ OK ] SliceLayerTest/1.TestSliceAcrossNum (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientAcrossChannels +[ OK ] SliceLayerTest/1.TestGradientAcrossChannels (157 ms) +[ RUN ] SliceLayerTest/1.TestSetupChannels +[ OK ] SliceLayerTest/1.TestSetupChannels (0 ms) +[ RUN ] SliceLayerTest/1.TestTrivialSlice +[ OK ] SliceLayerTest/1.TestTrivialSlice (0 ms) +[ RUN ] SliceLayerTest/1.TestGradientTrivial +[ OK ] SliceLayerTest/1.TestGradientTrivial (28 ms) +[ RUN ] SliceLayerTest/1.TestSetupNum +[ OK ] SliceLayerTest/1.TestSetupNum (0 ms) +[----------] 8 tests from SliceLayerTest/1 (285 ms total) -[----------] 4 tests from SoftmaxWithLossLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/1.TestGradientIgnoreLabel (5 ms) -[ RUN ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel -[ OK ] SoftmaxWithLossLayerTest/1.TestForwardIgnoreLabel (0 ms) -[ RUN ] SoftmaxWithLossLayerTest/1.TestGradient -[ OK ] SoftmaxWithLossLayerTest/1.TestGradient (6 ms) -[ RUN ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized -[ OK ] SoftmaxWithLossLayerTest/1.TestGradientUnnormalized (5 ms) -[----------] 4 tests from SoftmaxWithLossLayerTest/1 (16 ms total) +[----------] 6 tests from MVNLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MVNLayerTest/1.TestForward +[ OK ] MVNLayerTest/1.TestForward (0 ms) +[ RUN ] MVNLayerTest/1.TestForwardAcrossChannels +[ OK ] MVNLayerTest/1.TestForwardAcrossChannels (0 ms) +[ RUN ] MVNLayerTest/1.TestGradientAcrossChannels +[ OK ] MVNLayerTest/1.TestGradientAcrossChannels (1212 ms) +[ RUN ] MVNLayerTest/1.TestGradientMeanOnly +[ OK ] MVNLayerTest/1.TestGradientMeanOnly (232 ms) +[ RUN ] MVNLayerTest/1.TestGradient +[ OK ] MVNLayerTest/1.TestGradient (771 ms) +[ RUN ] MVNLayerTest/1.TestForwardMeanOnly +[ OK ] MVNLayerTest/1.TestForwardMeanOnly (1 ms) +[----------] 6 tests from MVNLayerTest/1 (2216 ms total) -[----------] 12 tests from NesterovSolverTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum -[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccum (2 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverything (227 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecay (9 ms) -[ RUN ] NesterovSolverTest/0.TestSnapshotShare -[ OK ] NesterovSolverTest/0.TestSnapshotShare (12 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdate (8 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithWeightDecayMultiIter (41 ms) -[ RUN ] NesterovSolverTest/0.TestSnapshot -[ OK ] NesterovSolverTest/0.TestSnapshot (10 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateLROneHundredth (8 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithMomentum (16 ms) -[ RUN ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare -[ OK ] NesterovSolverTest/0.TestNesterovLeastSquaresUpdateWithEverythingShare (44 ms) -[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter -[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithMomentumMultiIter (41 ms) -[ RUN ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare -[ OK ] NesterovSolverTest/0.TestLeastSquaresUpdateWithEverythingAccumShare (2 ms) -[----------] 12 tests from NesterovSolverTest/0 (420 ms total) +[----------] 5 tests from ImageDataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ImageDataLayerTest/1.TestSpace +[ OK ] ImageDataLayerTest/1.TestSpace (241 ms) +[ RUN ] ImageDataLayerTest/1.TestResize +[ OK ] ImageDataLayerTest/1.TestResize (1051 ms) +[ RUN ] ImageDataLayerTest/1.TestReshape +[ OK ] ImageDataLayerTest/1.TestReshape (256 ms) +[ RUN ] ImageDataLayerTest/1.TestShuffle +[ OK ] ImageDataLayerTest/1.TestShuffle (443 ms) +[ RUN ] ImageDataLayerTest/1.TestRead +[ OK ] ImageDataLayerTest/1.TestRead (969 ms) +[----------] 5 tests from ImageDataLayerTest/1 (2960 ms total) -[----------] 11 tests from CropLayerTest/1, where TypeParam = caffe::CPUDevice -[ RUN ] CropLayerTest/1.TestCropAllOffset -[ OK ] CropLayerTest/1.TestCropAllOffset (0 ms) -[ RUN ] CropLayerTest/1.TestCrop5DGradient -[ OK ] CropLayerTest/1.TestCrop5DGradient (838 ms) -[ RUN ] CropLayerTest/1.TestDimensionsCheck -[ OK ] CropLayerTest/1.TestDimensionsCheck (0 ms) -[ RUN ] CropLayerTest/1.TestCropHWGradient -[ OK ] CropLayerTest/1.TestCropHWGradient (232 ms) -[ RUN ] CropLayerTest/1.TestCropAllGradient -[ OK ] CropLayerTest/1.TestCropAllGradient (142 ms) -[ RUN ] CropLayerTest/1.TestCropHW -[ OK ] CropLayerTest/1.TestCropHW (0 ms) -[ RUN ] CropLayerTest/1.TestCrop5D -[ OK ] CropLayerTest/1.TestCrop5D (1 ms) -[ RUN ] CropLayerTest/1.TestCropAll -[ OK ] CropLayerTest/1.TestCropAll (0 ms) -[ RUN ] CropLayerTest/1.TestSetupShapeDefault -[ OK ] CropLayerTest/1.TestSetupShapeDefault (0 ms) -[ RUN ] CropLayerTest/1.TestSetupShapeAll -[ OK ] CropLayerTest/1.TestSetupShapeAll (0 ms) -[ RUN ] CropLayerTest/1.TestSetupShapeNegativeIndexing -[ OK ] CropLayerTest/1.TestSetupShapeNegativeIndexing (0 ms) -[----------] 11 tests from CropLayerTest/1 (1213 ms total) +[----------] 3 tests from BatchNormLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] BatchNormLayerTest/1.TestGradient +[ OK ] BatchNormLayerTest/1.TestGradient (695 ms) +[ RUN ] BatchNormLayerTest/1.TestForward +[ OK ] BatchNormLayerTest/1.TestForward (1 ms) +[ RUN ] BatchNormLayerTest/1.TestForwardInplace +[ OK ] BatchNormLayerTest/1.TestForwardInplace (0 ms) +[----------] 3 tests from BatchNormLayerTest/1 (696 ms total) [----------] 8 tests from SplitLayerInsertionTest -[ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop -[ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion1 -[ OK ] SplitLayerInsertionTest.TestNoInsertion1 (0 ms) +[ OK ] SplitLayerInsertionTest.TestNoInsertion1 (1 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertion2 [ OK ] SplitLayerInsertionTest.TestNoInsertion2 (1 ms) +[ RUN ] SplitLayerInsertionTest.TestInsertionTwoTop +[ OK ] SplitLayerInsertionTest.TestInsertionTwoTop (3 ms) [ RUN ] SplitLayerInsertionTest.TestInsertion -[ OK ] SplitLayerInsertionTest.TestInsertion (0 ms) -[ RUN ] SplitLayerInsertionTest.TestWithInPlace -[ OK ] SplitLayerInsertionTest.TestWithInPlace (0 ms) +[ OK ] SplitLayerInsertionTest.TestInsertion (2 ms) [ RUN ] SplitLayerInsertionTest.TestLossInsertion -[ OK ] SplitLayerInsertionTest.TestLossInsertion (0 ms) +[ OK ] SplitLayerInsertionTest.TestLossInsertion (2 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionWithInPlace -[ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (1 ms) +[ OK ] SplitLayerInsertionTest.TestNoInsertionWithInPlace (0 ms) [ RUN ] SplitLayerInsertionTest.TestNoInsertionImageNet -[ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (0 ms) -[----------] 8 tests from SplitLayerInsertionTest (3 ms total) - -[----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] TanHLayerTest/0.TestTanHGradient -[ OK ] TanHLayerTest/0.TestTanHGradient (1 ms) -[ RUN ] TanHLayerTest/0.TestTanH -[ OK ] TanHLayerTest/0.TestTanH (0 ms) -[ RUN ] TanHLayerTest/0.TestTanHOverflow -[ OK ] TanHLayerTest/0.TestTanHOverflow (1 ms) -[----------] 3 tests from TanHLayerTest/0 (2 ms total) +[ OK ] SplitLayerInsertionTest.TestNoInsertionImageNet (26 ms) +[ RUN ] SplitLayerInsertionTest.TestWithInPlace +[ OK ] SplitLayerInsertionTest.TestWithInPlace (1 ms) +[----------] 8 tests from SplitLayerInsertionTest (53 ms total) -[----------] 2 tests from SoftmaxLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] SoftmaxLayerTest/0.TestGradient -[ OK ] SoftmaxLayerTest/0.TestGradient (94 ms) -[ RUN ] SoftmaxLayerTest/0.TestForward -[ OK ] SoftmaxLayerTest/0.TestForward (0 ms) -[----------] 2 tests from SoftmaxLayerTest/0 (94 ms total) +[----------] 3 tests from SplitLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] SplitLayerTest/0.Test +[ OK ] SplitLayerTest/0.Test (1 ms) +[ RUN ] SplitLayerTest/0.TestGradient +[ OK ] SplitLayerTest/0.TestGradient (30 ms) +[ RUN ] SplitLayerTest/0.TestSetup +[ OK ] SplitLayerTest/0.TestSetup (0 ms) +[----------] 3 tests from SplitLayerTest/0 (33 ms total) -[----------] 7 tests from CPUMathFunctionsTest/0, where TypeParam = float -[ RUN ] CPUMathFunctionsTest/0.TestFabs -[ OK ] CPUMathFunctionsTest/0.TestFabs (2 ms) -[ RUN ] CPUMathFunctionsTest/0.TestCopy -[ OK ] CPUMathFunctionsTest/0.TestCopy (2 ms) -[ RUN ] CPUMathFunctionsTest/0.TestAsum -[ OK ] CPUMathFunctionsTest/0.TestAsum (1 ms) -[ RUN ] CPUMathFunctionsTest/0.TestSign -[ OK ] CPUMathFunctionsTest/0.TestSign (3 ms) -[ RUN ] CPUMathFunctionsTest/0.TestSgnbit -[ OK ] CPUMathFunctionsTest/0.TestSgnbit (2 ms) -[ RUN ] CPUMathFunctionsTest/0.TestNothing -[ OK ] CPUMathFunctionsTest/0.TestNothing (1 ms) -[ RUN ] CPUMathFunctionsTest/0.TestScale -[ OK ] CPUMathFunctionsTest/0.TestScale (2 ms) -[----------] 7 tests from CPUMathFunctionsTest/0 (13 ms total) +[----------] 5 tests from MemoryDataLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform +[ OK ] MemoryDataLayerTest/1.AddDatumVectorDefaultTransform (7 ms) +[ RUN ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform +[ OK ] MemoryDataLayerTest/1.AddMatVectorDefaultTransform (4 ms) +[ RUN ] MemoryDataLayerTest/1.TestSetBatchSize +[ OK ] MemoryDataLayerTest/1.TestSetBatchSize (3 ms) +[ RUN ] MemoryDataLayerTest/1.TestForward +[ OK ] MemoryDataLayerTest/1.TestForward (59 ms) +[ RUN ] MemoryDataLayerTest/1.TestSetup +[ OK ] MemoryDataLayerTest/1.TestSetup (3 ms) +[----------] 5 tests from MemoryDataLayerTest/1 (77 ms total) [----------] 5 tests from EmbedLayerTest/0, where TypeParam = caffe::CPUDevice -[ RUN ] EmbedLayerTest/0.TestGradientWithBias -[ OK ] EmbedLayerTest/0.TestGradientWithBias (10 ms) [ RUN ] EmbedLayerTest/0.TestSetUp [ OK ] EmbedLayerTest/0.TestSetUp (0 ms) [ RUN ] EmbedLayerTest/0.TestForward @@ -14779,11 +14527,298 @@ [ RUN ] EmbedLayerTest/0.TestForwardWithBias [ OK ] EmbedLayerTest/0.TestForwardWithBias (0 ms) [ RUN ] EmbedLayerTest/0.TestGradient -[ OK ] EmbedLayerTest/0.TestGradient (8 ms) -[----------] 5 tests from EmbedLayerTest/0 (18 ms total) +[ OK ] EmbedLayerTest/0.TestGradient (35 ms) +[ RUN ] EmbedLayerTest/0.TestGradientWithBias +[ OK ] EmbedLayerTest/0.TestGradientWithBias (45 ms) +[----------] 5 tests from EmbedLayerTest/0 (81 ms total) + +[----------] 12 tests from ReshapeLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] ReshapeLayerTest/1.TestForward +[ OK ] ReshapeLayerTest/1.TestForward (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenOutputSizes +[ OK ] ReshapeLayerTest/1.TestFlattenOutputSizes (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecified +[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecified (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenMiddle +[ OK ] ReshapeLayerTest/1.TestFlattenMiddle (0 ms) +[ RUN ] ReshapeLayerTest/1.TestFlattenValues +[ OK ] ReshapeLayerTest/1.TestFlattenValues (1 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesEnd (0 ms) +[ RUN ] ReshapeLayerTest/1.TestForwardAfterReshape +[ OK ] ReshapeLayerTest/1.TestForwardAfterReshape (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesMiddle (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInsertSingletonAxesStart +[ OK ] ReshapeLayerTest/1.TestInsertSingletonAxesStart (0 ms) +[ RUN ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis +[ OK ] ReshapeLayerTest/1.TestInferenceOfUnspecifiedWithStartAxis (0 ms) +[ RUN ] ReshapeLayerTest/1.TestGradient +[ OK ] ReshapeLayerTest/1.TestGradient (11 ms) +[ RUN ] ReshapeLayerTest/1.TestCopyDimensions +[ OK ] ReshapeLayerTest/1.TestCopyDimensions (1 ms) +[----------] 12 tests from ReshapeLayerTest/1 (15 ms total) + +[----------] 8 tests from LRNLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] LRNLayerTest/0.TestForwardAcrossChannels +[ OK ] LRNLayerTest/0.TestForwardAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/0.TestSetupAcrossChannels +[ OK ] LRNLayerTest/0.TestSetupAcrossChannels (0 ms) +[ RUN ] LRNLayerTest/0.TestForwardWithinChannel +[ OK ] LRNLayerTest/0.TestForwardWithinChannel (1 ms) +[ RUN ] LRNLayerTest/0.TestGradientWithinChannel +[ OK ] LRNLayerTest/0.TestGradientWithinChannel (1226 ms) +[ RUN ] LRNLayerTest/0.TestGradientAcrossChannels +[ OK ] LRNLayerTest/0.TestGradientAcrossChannels (1967 ms) +[ RUN ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/0.TestGradientAcrossChannelsLargeRegion (4978 ms) +[ RUN ] LRNLayerTest/0.TestSetupWithinChannel +[ OK ] LRNLayerTest/0.TestSetupWithinChannel (1 ms) +[ RUN ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion +[ OK ] LRNLayerTest/0.TestForwardAcrossChannelsLargeRegion (0 ms) +[----------] 8 tests from LRNLayerTest/0 (8175 ms total) + +[----------] 2 tests from BilinearFillerTest/1, where TypeParam = double +[ RUN ] BilinearFillerTest/1.TestFillOdd +[ OK ] BilinearFillerTest/1.TestFillOdd (30 ms) +[ RUN ] BilinearFillerTest/1.TestFillEven +[ OK ] BilinearFillerTest/1.TestFillEven (14 ms) +[----------] 2 tests from BilinearFillerTest/1 (44 ms total) + +[----------] 3 tests from SyncedMemoryTest +[ RUN ] SyncedMemoryTest.TestInitialization +[ OK ] SyncedMemoryTest.TestInitialization (0 ms) +[ RUN ] SyncedMemoryTest.TestAllocationCPU +[ OK ] SyncedMemoryTest.TestAllocationCPU (0 ms) +[ RUN ] SyncedMemoryTest.TestCPUWrite +[ OK ] SyncedMemoryTest.TestCPUWrite (0 ms) +[----------] 3 tests from SyncedMemoryTest (0 ms total) + +[----------] 6 tests from FlattenLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] FlattenLayerTest/1.TestSetup +[ OK ] FlattenLayerTest/1.TestSetup (0 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithEndAxis +[ OK ] FlattenLayerTest/1.TestSetupWithEndAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis +[ OK ] FlattenLayerTest/1.TestSetupWithStartAndEndAxis (0 ms) +[ RUN ] FlattenLayerTest/1.TestGradient +[ OK ] FlattenLayerTest/1.TestGradient (10 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 (10 ms total) + +[----------] 9 tests from InnerProductLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] InnerProductLayerTest/1.TestSetUp +[ OK ] InnerProductLayerTest/1.TestSetUp (0 ms) +[ RUN ] InnerProductLayerTest/1.TestForwardTranspose +[ OK ] InnerProductLayerTest/1.TestForwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/1.TestGradient +[ OK ] InnerProductLayerTest/1.TestGradient (257 ms) +[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeFalse +[ OK ] InnerProductLayerTest/1.TestSetUpTransposeFalse (1 ms) +[ RUN ] InnerProductLayerTest/1.TestSetUpTransposeTrue +[ OK ] InnerProductLayerTest/1.TestSetUpTransposeTrue (0 ms) +[ RUN ] InnerProductLayerTest/1.TestGradientTranspose +[ OK ] InnerProductLayerTest/1.TestGradientTranspose (240 ms) +[ RUN ] InnerProductLayerTest/1.TestBackwardTranspose +[ OK ] InnerProductLayerTest/1.TestBackwardTranspose (0 ms) +[ RUN ] InnerProductLayerTest/1.TestForwardNoBatch +[ OK ] InnerProductLayerTest/1.TestForwardNoBatch (0 ms) +[ RUN ] InnerProductLayerTest/1.TestForward +[ OK ] InnerProductLayerTest/1.TestForward (0 ms) +[----------] 9 tests from InnerProductLayerTest/1 (499 ms total) + +[----------] 11 tests from RandomNumberGeneratorTest/1, where TypeParam = double +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian2 +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform2 +[ OK ] RandomNumberGeneratorTest/1.TestRngUniform2 (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli2 +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli2 (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulliTimesBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform +[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesUniform (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniform +[ OK ] RandomNumberGeneratorTest/1.TestRngUniform (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesBernoulli (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussian +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussian (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian +[ OK ] RandomNumberGeneratorTest/1.TestRngGaussianTimesGaussian (1 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngBernoulli (0 ms) +[ RUN ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli +[ OK ] RandomNumberGeneratorTest/1.TestRngUniformTimesBernoulli (0 ms) +[----------] 11 tests from RandomNumberGeneratorTest/1 (4 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) + +[----------] 9 tests from AdaGradSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (21 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverythingShare (566 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdate (105 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithEverything (721 ms) +[ RUN ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] AdaGradSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (28 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateLROneHundredth (68 ms) +[ RUN ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay +[ OK ] AdaGradSolverTest/1.TestAdaGradLeastSquaresUpdateWithWeightDecay (131 ms) +[ RUN ] AdaGradSolverTest/1.TestSnapshotShare +[ OK ] AdaGradSolverTest/1.TestSnapshotShare (586 ms) +[ RUN ] AdaGradSolverTest/1.TestSnapshot +[ OK ] AdaGradSolverTest/1.TestSnapshot (498 ms) +[----------] 9 tests from AdaGradSolverTest/1 (2727 ms total) + +[----------] 2 tests from HingeLossLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] HingeLossLayerTest/0.TestGradientL2 +[ OK ] HingeLossLayerTest/0.TestGradientL2 (0 ms) +[ RUN ] HingeLossLayerTest/0.TestGradientL1 +[ OK ] HingeLossLayerTest/0.TestGradientL1 (1 ms) +[----------] 2 tests from HingeLossLayerTest/0 (1 ms total) + +[----------] 1 test from SolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SolverTest/1.TestInitTrainTestNets +[ OK ] SolverTest/1.TestInitTrainTestNets (19 ms) +[----------] 1 test from SolverTest/1 (19 ms total) + +[----------] 5 tests from ImageDataLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] ImageDataLayerTest/0.TestRead +[ OK ] ImageDataLayerTest/0.TestRead (557 ms) +[ RUN ] ImageDataLayerTest/0.TestReshape +[ OK ] ImageDataLayerTest/0.TestReshape (146 ms) +[ RUN ] ImageDataLayerTest/0.TestSpace +[ OK ] ImageDataLayerTest/0.TestSpace (264 ms) +[ RUN ] ImageDataLayerTest/0.TestShuffle +[ OK ] ImageDataLayerTest/0.TestShuffle (623 ms) +[ RUN ] ImageDataLayerTest/0.TestResize +[ OK ] ImageDataLayerTest/0.TestResize (612 ms) +[----------] 5 tests from ImageDataLayerTest/0 (2221 ms total) + +[----------] 4 tests from ConstantFillerTest/1, where TypeParam = double +[ RUN ] ConstantFillerTest/1.TestFill2D +[ OK ] ConstantFillerTest/1.TestFill2D (0 ms) +[ RUN ] ConstantFillerTest/1.TestFill1D +[ OK ] ConstantFillerTest/1.TestFill1D (0 ms) +[ RUN ] ConstantFillerTest/1.TestFill +[ OK ] ConstantFillerTest/1.TestFill (0 ms) +[ RUN ] ConstantFillerTest/1.TestFill5D +[ OK ] ConstantFillerTest/1.TestFill5D (0 ms) +[----------] 4 tests from ConstantFillerTest/1 (0 ms total) + +[----------] 12 tests from SGDSolverTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccum (159 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingAccumShare (103 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdate +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdate (154 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentum (125 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecayMultiIter (591 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateLROneHundredth (167 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverything (444 ms) +[ RUN ] SGDSolverTest/1.TestSnapshot +[ OK ] SGDSolverTest/1.TestSnapshot (531 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithWeightDecay (253 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithMomentumMultiIter (157 ms) +[ RUN ] SGDSolverTest/1.TestSnapshotShare +[ OK ] SGDSolverTest/1.TestSnapshotShare (258 ms) +[ RUN ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare +[ OK ] SGDSolverTest/1.TestLeastSquaresUpdateWithEverythingShare (552 ms) +[----------] 12 tests from SGDSolverTest/1 (3520 ms total) + +[----------] 2 tests from InfogainLossLayerTest/1, where TypeParam = caffe::CPUDevice +[ RUN ] InfogainLossLayerTest/1.TestInfogainLoss +[ OK ] InfogainLossLayerTest/1.TestInfogainLoss (0 ms) +[ RUN ] InfogainLossLayerTest/1.TestGradient +[ OK ] InfogainLossLayerTest/1.TestGradient (18 ms) +[----------] 2 tests from InfogainLossLayerTest/1 (18 ms total) + +[----------] 3 tests from TanHLayerTest/0, where TypeParam = caffe::CPUDevice +[ RUN ] TanHLayerTest/0.TestTanHGradient +[ OK ] TanHLayerTest/0.TestTanHGradient (13 ms) +[ RUN ] TanHLayerTest/0.TestTanHOverflow +[ OK ] TanHLayerTest/0.TestTanHOverflow (0 ms) +[ RUN ] TanHLayerTest/0.TestTanH +[ OK ] TanHLayerTest/0.TestTanH (0 ms) +[----------] 3 tests from TanHLayerTest/0 (13 ms total) + +[----------] 26 tests from IOTest +[ RUN ] IOTest.TestReadImageToDatum +[ OK ] IOTest.TestReadImageToDatum (57 ms) +[ RUN ] IOTest.TestReadImageToDatumReferenceResized +[ OK ] IOTest.TestReadImageToDatumReferenceResized (42 ms) +[ RUN ] IOTest.TestReadImageToCVMatGray +[ OK ] IOTest.TestReadImageToCVMatGray (15 ms) +[ RUN ] IOTest.TestCVMatToDatumReference +[ OK ] IOTest.TestCVMatToDatumReference (33 ms) +[ RUN ] IOTest.TestReadImageToDatumReference +[ OK ] IOTest.TestReadImageToDatumReference (76 ms) +[ RUN ] IOTest.TestReadImageToDatumGray +[ OK ] IOTest.TestReadImageToDatumGray (32 ms) +[ RUN ] IOTest.TestReadImageToDatumResizedSquare +[ OK ] IOTest.TestReadImageToDatumResizedSquare (45 ms) +[ RUN ] IOTest.TestCVMatToDatum +[ OK ] IOTest.TestCVMatToDatum (44 ms) +[ RUN ] IOTest.TestReadImageToDatumContentGray +[ OK ] IOTest.TestReadImageToDatumContentGray (88 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatContent +[ OK ] IOTest.TestDecodeDatumToCVMatContent (137 ms) +[ RUN ] IOTest.TestReadImageToDatumResized +[ OK ] IOTest.TestReadImageToDatumResized (23 ms) +[ RUN ] IOTest.TestReadImageToCVMatResizedSquare +[ OK ] IOTest.TestReadImageToCVMatResizedSquare (31 ms) +[ RUN ] IOTest.TestReadImageToDatumResizedGray +[ OK ] IOTest.TestReadImageToDatumResizedGray (4 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatNativeGray +[ OK ] IOTest.TestDecodeDatumToCVMatNativeGray (3 ms) +[ RUN ] IOTest.TestReadImageToCVMat +[ OK ] IOTest.TestReadImageToCVMat (13 ms) +[ RUN ] IOTest.TestReadImageToDatumContent +[ OK ] IOTest.TestReadImageToDatumContent (91 ms) +[ RUN ] IOTest.TestReadImageToCVMatResized +[ OK ] IOTest.TestReadImageToCVMatResized (36 ms) +[ RUN ] IOTest.TestDecodeDatum +[ OK ] IOTest.TestDecodeDatum (97 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatNative +[ OK ] IOTest.TestDecodeDatumToCVMatNative (24 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMatContentNative +[ OK ] IOTest.TestDecodeDatumToCVMatContentNative (92 ms) +[ RUN ] IOTest.TestReadImageToCVMatResizedGray +[ OK ] IOTest.TestReadImageToCVMatResizedGray (20 ms) +[ RUN ] IOTest.TestDecodeDatumNativeGray +[ OK ] IOTest.TestDecodeDatumNativeGray (37 ms) +[ RUN ] IOTest.TestReadFileToDatum +[ OK ] IOTest.TestReadFileToDatum (1 ms) +[ RUN ] IOTest.TestDecodeDatumToCVMat +[ OK ] IOTest.TestDecodeDatumToCVMat (37 ms) +[ RUN ] IOTest.TestCVMatToDatumContent +[ OK ] IOTest.TestCVMatToDatumContent (55 ms) +[ RUN ] IOTest.TestDecodeDatumNative +[ OK ] IOTest.TestDecodeDatumNative (83 ms) +[----------] 26 tests from IOTest (1499 ms total) [----------] Global test environment tear-down -[==========] 1162 tests from 152 test cases ran. (43657 ms total) +[==========] 1162 tests from 152 test cases ran. (248216 ms total) [ PASSED ] 1162 tests. make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' [100%] Built target runtest @@ -14831,14 +14866,15 @@ make -f CMakeFiles/pytest.dir/build.make CMakeFiles/pytest.dir/build make[5]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' cd /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python && python3 -m unittest discover -s caffe/test +Matplotlib is building the font cache; this may take a moment. .../build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_coord_map.py:45: DeprecationWarning: Please use assertEqual instead. self.assertEquals(ax, 1) ................WARNING: Logging before InitGoogleLogging() is written to STDERR -I0909 12:04:26.633770 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data -I0909 12:04:26.633814 3877644 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data -I0909 12:04:26.633824 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss -I0909 12:04:26.633829 3877644 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss -I0909 12:04:26.633836 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.802243 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data +I0808 08:10:45.808526 1317858 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer val_data +I0808 08:10:45.808894 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss +I0808 08:10:45.809064 1317858 net.cpp:332] The NetState did not contain stage 'val' specified by a rule in layer loss +I0808 08:10:45.809269 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -14880,35 +14916,35 @@ stage: "deploy" } } -I0909 12:04:26.633991 3877644 layer_factory.hpp:77] Creating layer deploy_data -I0909 12:04:26.634019 3877644 net.cpp:86] Creating Layer deploy_data -I0909 12:04:26.634029 3877644 net.cpp:382] deploy_data -> data -I0909 12:04:26.634065 3877644 net.cpp:124] Setting up deploy_data -I0909 12:04:26.634104 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.634138 3877644 net.cpp:139] Memory required for data: 400 -I0909 12:04:26.634176 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.634205 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.634230 3877644 net.cpp:408] ip <- data -I0909 12:04:26.634258 3877644 net.cpp:382] ip -> ip -I0909 12:04:26.634315 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.634348 3877644 net.cpp:131] Top shape: 1 2 (2) -I0909 12:04:26.634382 3877644 net.cpp:139] Memory required for data: 408 -I0909 12:04:26.634438 3877644 layer_factory.hpp:77] Creating layer pred -I0909 12:04:26.634474 3877644 net.cpp:86] Creating Layer pred -I0909 12:04:26.634509 3877644 net.cpp:408] pred <- ip -I0909 12:04:26.634537 3877644 net.cpp:382] pred -> pred -I0909 12:04:26.634606 3877644 net.cpp:124] Setting up pred -I0909 12:04:26.634615 3877644 net.cpp:131] Top shape: 1 2 (2) -I0909 12:04:26.634622 3877644 net.cpp:139] Memory required for data: 416 -I0909 12:04:26.634627 3877644 net.cpp:202] pred does not need backward computation. -I0909 12:04:26.634634 3877644 net.cpp:202] ip does not need backward computation. -I0909 12:04:26.634639 3877644 net.cpp:202] deploy_data does not need backward computation. -I0909 12:04:26.634642 3877644 net.cpp:244] This network produces output pred -I0909 12:04:26.634650 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.635578 3877644 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data -I0909 12:04:26.635594 3877644 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data -I0909 12:04:26.635603 3877644 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred -I0909 12:04:26.635608 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.809651 1317858 layer_factory.hpp:77] Creating layer deploy_data +I0808 08:10:45.809815 1317858 net.cpp:86] Creating Layer deploy_data +I0808 08:10:45.809916 1317858 net.cpp:382] deploy_data -> data +I0808 08:10:45.810187 1317858 net.cpp:124] Setting up deploy_data +I0808 08:10:45.810379 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.810487 1317858 net.cpp:139] Memory required for data: 400 +I0808 08:10:45.810628 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:45.810791 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:45.810920 1317858 net.cpp:408] ip <- data +I0808 08:10:45.811051 1317858 net.cpp:382] ip -> ip +I0808 08:10:45.811203 1317858 net.cpp:124] Setting up ip +I0808 08:10:45.811300 1317858 net.cpp:131] Top shape: 1 2 (2) +I0808 08:10:45.811470 1317858 net.cpp:139] Memory required for data: 408 +I0808 08:10:45.811605 1317858 layer_factory.hpp:77] Creating layer pred +I0808 08:10:45.811734 1317858 net.cpp:86] Creating Layer pred +I0808 08:10:45.811853 1317858 net.cpp:408] pred <- ip +I0808 08:10:45.812003 1317858 net.cpp:382] pred -> pred +I0808 08:10:45.812348 1317858 net.cpp:124] Setting up pred +I0808 08:10:45.813333 1317858 net.cpp:131] Top shape: 1 2 (2) +I0808 08:10:45.813486 1317858 net.cpp:139] Memory required for data: 416 +I0808 08:10:45.813648 1317858 net.cpp:202] pred does not need backward computation. +I0808 08:10:45.813771 1317858 net.cpp:202] ip does not need backward computation. +I0808 08:10:45.814003 1317858 net.cpp:202] deploy_data does not need backward computation. +I0808 08:10:45.814172 1317858 net.cpp:244] This network produces output pred +I0808 08:10:45.814337 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.817750 1317858 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data +I0808 08:10:45.820187 1317858 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer deploy_data +I0808 08:10:45.820426 1317858 net.cpp:296] The NetState phase (0) differed from the phase (1) specified by a rule in layer pred +I0808 08:10:45.820546 1317858 net.cpp:53] Initializing net from parameters: state { phase: TRAIN level: 0 @@ -14962,41 +14998,41 @@ stage: "val" } } -I0909 12:04:26.635711 3877644 layer_factory.hpp:77] Creating layer train_data -I0909 12:04:26.635762 3877644 net.cpp:86] Creating Layer train_data -I0909 12:04:26.635807 3877644 net.cpp:382] train_data -> data -I0909 12:04:26.635856 3877644 net.cpp:382] train_data -> label -I0909 12:04:26.635881 3877644 net.cpp:124] Setting up train_data -I0909 12:04:26.635888 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.635895 3877644 net.cpp:131] Top shape: 1 1 1 1 (1) -I0909 12:04:26.635900 3877644 net.cpp:139] Memory required for data: 404 -I0909 12:04:26.635905 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.635911 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.635916 3877644 net.cpp:408] ip <- data -I0909 12:04:26.635926 3877644 net.cpp:382] ip -> ip -I0909 12:04:26.635965 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.635995 3877644 net.cpp:131] Top shape: 1 2 (2) -I0909 12:04:26.636027 3877644 net.cpp:139] Memory required for data: 412 -I0909 12:04:26.636062 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.636099 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.636130 3877644 net.cpp:408] loss <- ip -I0909 12:04:26.636169 3877644 net.cpp:408] loss <- label -I0909 12:04:26.636210 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.636243 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.636288 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.636317 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.636346 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.636399 3877644 net.cpp:139] Memory required for data: 416 -I0909 12:04:26.636404 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.636411 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.636416 3877644 net.cpp:202] train_data does not need backward computation. -I0909 12:04:26.636420 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.636425 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.636952 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data -I0909 12:04:26.636972 3877644 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data -I0909 12:04:26.636981 3877644 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss -I0909 12:04:26.636986 3877644 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred -I0909 12:04:26.636991 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.825327 1317858 layer_factory.hpp:77] Creating layer train_data +I0808 08:10:45.825615 1317858 net.cpp:86] Creating Layer train_data +I0808 08:10:45.825711 1317858 net.cpp:382] train_data -> data +I0808 08:10:45.825836 1317858 net.cpp:382] train_data -> label +I0808 08:10:45.826013 1317858 net.cpp:124] Setting up train_data +I0808 08:10:45.826139 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.826406 1317858 net.cpp:131] Top shape: 1 1 1 1 (1) +I0808 08:10:45.826519 1317858 net.cpp:139] Memory required for data: 404 +I0808 08:10:45.826651 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:45.826761 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:45.826916 1317858 net.cpp:408] ip <- data +I0808 08:10:45.827066 1317858 net.cpp:382] ip -> ip +I0808 08:10:45.827196 1317858 net.cpp:124] Setting up ip +I0808 08:10:45.827293 1317858 net.cpp:131] Top shape: 1 2 (2) +I0808 08:10:45.827430 1317858 net.cpp:139] Memory required for data: 412 +I0808 08:10:45.827584 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.827723 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:45.827816 1317858 net.cpp:408] loss <- ip +I0808 08:10:45.827937 1317858 net.cpp:408] loss <- label +I0808 08:10:45.828104 1317858 net.cpp:382] loss -> loss +I0808 08:10:45.828243 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.828405 1317858 net.cpp:124] Setting up loss +I0808 08:10:45.828521 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:45.828658 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:45.828845 1317858 net.cpp:139] Memory required for data: 416 +I0808 08:10:45.831400 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:45.831605 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:45.831740 1317858 net.cpp:202] train_data does not need backward computation. +I0808 08:10:45.831841 1317858 net.cpp:244] This network produces output loss +I0808 08:10:45.832051 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.842738 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data +I0808 08:10:45.843205 1317858 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer deploy_data +I0808 08:10:45.843350 1317858 net.cpp:296] The NetState phase (1) differed from the phase (0) specified by a rule in layer loss +I0808 08:10:45.843605 1317858 net.cpp:332] The NetState did not contain stage 'deploy' specified by a rule in layer pred +I0808 08:10:45.843725 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -15050,39 +15086,39 @@ stage: "val" } } -I0909 12:04:26.637092 3877644 layer_factory.hpp:77] Creating layer val_data -I0909 12:04:26.637141 3877644 net.cpp:86] Creating Layer val_data -I0909 12:04:26.637187 3877644 net.cpp:382] val_data -> data -I0909 12:04:26.637207 3877644 net.cpp:382] val_data -> label -I0909 12:04:26.637219 3877644 net.cpp:124] Setting up val_data -I0909 12:04:26.637223 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.637228 3877644 net.cpp:131] Top shape: 1 1 1 1 (1) -I0909 12:04:26.637230 3877644 net.cpp:139] Memory required for data: 404 -I0909 12:04:26.637233 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.637238 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.637240 3877644 net.cpp:408] ip <- data -I0909 12:04:26.637244 3877644 net.cpp:382] ip -> ip -I0909 12:04:26.637254 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.637257 3877644 net.cpp:131] Top shape: 1 2 (2) -I0909 12:04:26.637260 3877644 net.cpp:139] Memory required for data: 412 -I0909 12:04:26.637266 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.637271 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.637274 3877644 net.cpp:408] loss <- ip -I0909 12:04:26.637277 3877644 net.cpp:408] loss <- label -I0909 12:04:26.637281 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.637287 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.637297 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.637300 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.637303 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.637310 3877644 net.cpp:139] Memory required for data: 416 -I0909 12:04:26.637313 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.637316 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.637319 3877644 net.cpp:202] val_data does not need backward computation. -I0909 12:04:26.637322 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.637327 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.637851 3877644 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only -I0909 12:04:26.637859 3877644 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 -I0909 12:04:26.637862 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.844086 1317858 layer_factory.hpp:77] Creating layer val_data +I0808 08:10:45.844271 1317858 net.cpp:86] Creating Layer val_data +I0808 08:10:45.844413 1317858 net.cpp:382] val_data -> data +I0808 08:10:45.844595 1317858 net.cpp:382] val_data -> label +I0808 08:10:45.844743 1317858 net.cpp:124] Setting up val_data +I0808 08:10:45.844856 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.845001 1317858 net.cpp:131] Top shape: 1 1 1 1 (1) +I0808 08:10:45.845099 1317858 net.cpp:139] Memory required for data: 404 +I0808 08:10:45.845191 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:45.845329 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:45.845494 1317858 net.cpp:408] ip <- data +I0808 08:10:45.845634 1317858 net.cpp:382] ip -> ip +I0808 08:10:45.846057 1317858 net.cpp:124] Setting up ip +I0808 08:10:45.846246 1317858 net.cpp:131] Top shape: 1 2 (2) +I0808 08:10:45.846357 1317858 net.cpp:139] Memory required for data: 412 +I0808 08:10:45.846493 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.846693 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:45.846988 1317858 net.cpp:408] loss <- ip +I0808 08:10:45.847117 1317858 net.cpp:408] loss <- label +I0808 08:10:45.847275 1317858 net.cpp:382] loss -> loss +I0808 08:10:45.847421 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.847533 1317858 net.cpp:124] Setting up loss +I0808 08:10:45.847625 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:45.847733 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:45.847872 1317858 net.cpp:139] Memory required for data: 416 +I0808 08:10:45.847965 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:45.848085 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:45.853066 1317858 net.cpp:202] val_data does not need backward computation. +I0808 08:10:45.853367 1317858 net.cpp:244] This network produces output loss +I0808 08:10:45.853472 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.874003 1317858 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level1Only +I0808 08:10:45.874650 1317858 net.cpp:306] The NetState level (0) is above the min_level (1) specified by a rule in layer Level>=1 +I0808 08:10:45.874830 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -15134,55 +15170,55 @@ num_output: 1 } } -I0909 12:04:26.637917 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.637924 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.637928 3877644 net.cpp:382] data -> data -I0909 12:04:26.637938 3877644 net.cpp:124] Setting up data -I0909 12:04:26.637941 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.637945 3877644 net.cpp:139] Memory required for data: 400 -I0909 12:04:26.637948 3877644 layer_factory.hpp:77] Creating layer data_data_0_split -I0909 12:04:26.637957 3877644 net.cpp:86] Creating Layer data_data_0_split -I0909 12:04:26.637959 3877644 net.cpp:408] data_data_0_split <- data -I0909 12:04:26.637964 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I0909 12:04:26.637969 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I0909 12:04:26.637974 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_2 -I0909 12:04:26.637986 3877644 net.cpp:124] Setting up data_data_0_split -I0909 12:04:26.637989 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.637992 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.637995 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.638000 3877644 net.cpp:139] Memory required for data: 1600 -I0909 12:04:26.638001 3877644 layer_factory.hpp:77] Creating layer NoLevel -I0909 12:04:26.638008 3877644 net.cpp:86] Creating Layer NoLevel -I0909 12:04:26.638011 3877644 net.cpp:408] NoLevel <- data_data_0_split_0 -I0909 12:04:26.638015 3877644 net.cpp:382] NoLevel -> NoLevel -I0909 12:04:26.638024 3877644 net.cpp:124] Setting up NoLevel -I0909 12:04:26.638027 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.638031 3877644 net.cpp:139] Memory required for data: 1604 -I0909 12:04:26.638036 3877644 layer_factory.hpp:77] Creating layer Level0Only -I0909 12:04:26.638041 3877644 net.cpp:86] Creating Layer Level0Only -I0909 12:04:26.638043 3877644 net.cpp:408] Level0Only <- data_data_0_split_1 -I0909 12:04:26.638047 3877644 net.cpp:382] Level0Only -> Level0Only -I0909 12:04:26.638054 3877644 net.cpp:124] Setting up Level0Only -I0909 12:04:26.638057 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.638060 3877644 net.cpp:139] Memory required for data: 1608 -I0909 12:04:26.638064 3877644 layer_factory.hpp:77] Creating layer Level>=0 -I0909 12:04:26.638070 3877644 net.cpp:86] Creating Layer Level>=0 -I0909 12:04:26.638073 3877644 net.cpp:408] Level>=0 <- data_data_0_split_2 -I0909 12:04:26.638077 3877644 net.cpp:382] Level>=0 -> Level>=0 -I0909 12:04:26.638084 3877644 net.cpp:124] Setting up Level>=0 -I0909 12:04:26.638087 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.638089 3877644 net.cpp:139] Memory required for data: 1612 -I0909 12:04:26.638095 3877644 net.cpp:202] Level>=0 does not need backward computation. -I0909 12:04:26.638098 3877644 net.cpp:202] Level0Only does not need backward computation. -I0909 12:04:26.638101 3877644 net.cpp:202] NoLevel does not need backward computation. -I0909 12:04:26.638104 3877644 net.cpp:202] data_data_0_split does not need backward computation. -I0909 12:04:26.638106 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.638109 3877644 net.cpp:244] This network produces output Level0Only -I0909 12:04:26.638111 3877644 net.cpp:244] This network produces output Level>=0 -I0909 12:04:26.638114 3877644 net.cpp:244] This network produces output NoLevel -I0909 12:04:26.638119 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.638624 3877644 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only -I0909 12:04:26.638695 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.875396 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:45.875540 1317858 net.cpp:86] Creating Layer data +I0808 08:10:45.875814 1317858 net.cpp:382] data -> data +I0808 08:10:45.876030 1317858 net.cpp:124] Setting up data +I0808 08:10:45.876216 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.876400 1317858 net.cpp:139] Memory required for data: 400 +I0808 08:10:45.876495 1317858 layer_factory.hpp:77] Creating layer data_data_0_split +I0808 08:10:45.876667 1317858 net.cpp:86] Creating Layer data_data_0_split +I0808 08:10:45.876785 1317858 net.cpp:408] data_data_0_split <- data +I0808 08:10:45.877014 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0808 08:10:45.877183 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0808 08:10:45.877629 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0808 08:10:45.877795 1317858 net.cpp:124] Setting up data_data_0_split +I0808 08:10:45.877925 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.878078 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.878234 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.878345 1317858 net.cpp:139] Memory required for data: 1600 +I0808 08:10:45.878482 1317858 layer_factory.hpp:77] Creating layer NoLevel +I0808 08:10:45.878609 1317858 net.cpp:86] Creating Layer NoLevel +I0808 08:10:45.878731 1317858 net.cpp:408] NoLevel <- data_data_0_split_0 +I0808 08:10:45.878886 1317858 net.cpp:382] NoLevel -> NoLevel +I0808 08:10:45.879140 1317858 net.cpp:124] Setting up NoLevel +I0808 08:10:45.880178 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.880373 1317858 net.cpp:139] Memory required for data: 1604 +I0808 08:10:45.880508 1317858 layer_factory.hpp:77] Creating layer Level0Only +I0808 08:10:45.880645 1317858 net.cpp:86] Creating Layer Level0Only +I0808 08:10:45.880805 1317858 net.cpp:408] Level0Only <- data_data_0_split_1 +I0808 08:10:45.880925 1317858 net.cpp:382] Level0Only -> Level0Only +I0808 08:10:45.881095 1317858 net.cpp:124] Setting up Level0Only +I0808 08:10:45.881206 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.881356 1317858 net.cpp:139] Memory required for data: 1608 +I0808 08:10:45.881556 1317858 layer_factory.hpp:77] Creating layer Level>=0 +I0808 08:10:45.882305 1317858 net.cpp:86] Creating Layer Level>=0 +I0808 08:10:45.882484 1317858 net.cpp:408] Level>=0 <- data_data_0_split_2 +I0808 08:10:45.882661 1317858 net.cpp:382] Level>=0 -> Level>=0 +I0808 08:10:45.883015 1317858 net.cpp:124] Setting up Level>=0 +I0808 08:10:45.888149 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.888535 1317858 net.cpp:139] Memory required for data: 1612 +I0808 08:10:45.888703 1317858 net.cpp:202] Level>=0 does not need backward computation. +I0808 08:10:45.888825 1317858 net.cpp:202] Level0Only does not need backward computation. +I0808 08:10:45.888947 1317858 net.cpp:202] NoLevel does not need backward computation. +I0808 08:10:45.889185 1317858 net.cpp:202] data_data_0_split does not need backward computation. +I0808 08:10:45.889341 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:45.889469 1317858 net.cpp:244] This network produces output Level0Only +I0808 08:10:45.889632 1317858 net.cpp:244] This network produces output Level>=0 +I0808 08:10:45.889796 1317858 net.cpp:244] This network produces output NoLevel +I0808 08:10:45.889963 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.899142 1317858 net.cpp:316] The NetState level (1) is above the max_level (0) specified by a rule in layer Level0Only +I0808 08:10:45.899555 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 1 @@ -15246,65 +15282,65 @@ num_output: 1 } } -I0909 12:04:26.638803 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.638845 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.638875 3877644 net.cpp:382] data -> data -I0909 12:04:26.638911 3877644 net.cpp:124] Setting up data -I0909 12:04:26.638935 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.638957 3877644 net.cpp:139] Memory required for data: 400 -I0909 12:04:26.638976 3877644 layer_factory.hpp:77] Creating layer data_data_0_split -I0909 12:04:26.639003 3877644 net.cpp:86] Creating Layer data_data_0_split -I0909 12:04:26.639029 3877644 net.cpp:408] data_data_0_split <- data -I0909 12:04:26.639057 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I0909 12:04:26.639101 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I0909 12:04:26.639124 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_2 -I0909 12:04:26.639132 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_3 -I0909 12:04:26.639144 3877644 net.cpp:124] Setting up data_data_0_split -I0909 12:04:26.639149 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.639156 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.639161 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.639165 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.639168 3877644 net.cpp:139] Memory required for data: 2000 -I0909 12:04:26.639171 3877644 layer_factory.hpp:77] Creating layer NoLevel -I0909 12:04:26.639178 3877644 net.cpp:86] Creating Layer NoLevel -I0909 12:04:26.639180 3877644 net.cpp:408] NoLevel <- data_data_0_split_0 -I0909 12:04:26.639185 3877644 net.cpp:382] NoLevel -> NoLevel -I0909 12:04:26.639196 3877644 net.cpp:124] Setting up NoLevel -I0909 12:04:26.639206 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.639214 3877644 net.cpp:139] Memory required for data: 2004 -I0909 12:04:26.639223 3877644 layer_factory.hpp:77] Creating layer Level1Only -I0909 12:04:26.639231 3877644 net.cpp:86] Creating Layer Level1Only -I0909 12:04:26.639235 3877644 net.cpp:408] Level1Only <- data_data_0_split_1 -I0909 12:04:26.639243 3877644 net.cpp:382] Level1Only -> Level1Only -I0909 12:04:26.639271 3877644 net.cpp:124] Setting up Level1Only -I0909 12:04:26.639279 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.639285 3877644 net.cpp:139] Memory required for data: 2008 -I0909 12:04:26.639294 3877644 layer_factory.hpp:77] Creating layer Level>=0 -I0909 12:04:26.639307 3877644 net.cpp:86] Creating Layer Level>=0 -I0909 12:04:26.639312 3877644 net.cpp:408] Level>=0 <- data_data_0_split_2 -I0909 12:04:26.639328 3877644 net.cpp:382] Level>=0 -> Level>=0 -I0909 12:04:26.639350 3877644 net.cpp:124] Setting up Level>=0 -I0909 12:04:26.639358 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.639364 3877644 net.cpp:139] Memory required for data: 2012 -I0909 12:04:26.639374 3877644 layer_factory.hpp:77] Creating layer Level>=1 -I0909 12:04:26.639384 3877644 net.cpp:86] Creating Layer Level>=1 -I0909 12:04:26.639389 3877644 net.cpp:408] Level>=1 <- data_data_0_split_3 -I0909 12:04:26.639396 3877644 net.cpp:382] Level>=1 -> Level>=1 -I0909 12:04:26.639420 3877644 net.cpp:124] Setting up Level>=1 -I0909 12:04:26.639428 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.639434 3877644 net.cpp:139] Memory required for data: 2016 -I0909 12:04:26.639441 3877644 net.cpp:202] Level>=1 does not need backward computation. -I0909 12:04:26.639446 3877644 net.cpp:202] Level>=0 does not need backward computation. -I0909 12:04:26.639451 3877644 net.cpp:202] Level1Only does not need backward computation. -I0909 12:04:26.639463 3877644 net.cpp:202] NoLevel does not need backward computation. -I0909 12:04:26.639468 3877644 net.cpp:202] data_data_0_split does not need backward computation. -I0909 12:04:26.639477 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.639480 3877644 net.cpp:244] This network produces output Level1Only -I0909 12:04:26.639487 3877644 net.cpp:244] This network produces output Level>=0 -I0909 12:04:26.639494 3877644 net.cpp:244] This network produces output Level>=1 -I0909 12:04:26.639499 3877644 net.cpp:244] This network produces output NoLevel -I0909 12:04:26.639509 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.640092 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.899962 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:45.900231 1317858 net.cpp:86] Creating Layer data +I0808 08:10:45.900987 1317858 net.cpp:382] data -> data +I0808 08:10:45.901166 1317858 net.cpp:124] Setting up data +I0808 08:10:45.901281 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.901415 1317858 net.cpp:139] Memory required for data: 400 +I0808 08:10:45.901589 1317858 layer_factory.hpp:77] Creating layer data_data_0_split +I0808 08:10:45.901729 1317858 net.cpp:86] Creating Layer data_data_0_split +I0808 08:10:45.901906 1317858 net.cpp:408] data_data_0_split <- data +I0808 08:10:45.902181 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0808 08:10:45.902330 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0808 08:10:45.902473 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0808 08:10:45.902654 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_3 +I0808 08:10:45.902798 1317858 net.cpp:124] Setting up data_data_0_split +I0808 08:10:45.902973 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.903110 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.903299 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.903424 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:45.903604 1317858 net.cpp:139] Memory required for data: 2000 +I0808 08:10:45.903698 1317858 layer_factory.hpp:77] Creating layer NoLevel +I0808 08:10:45.903853 1317858 net.cpp:86] Creating Layer NoLevel +I0808 08:10:45.908160 1317858 net.cpp:408] NoLevel <- data_data_0_split_0 +I0808 08:10:45.908571 1317858 net.cpp:382] NoLevel -> NoLevel +I0808 08:10:45.908754 1317858 net.cpp:124] Setting up NoLevel +I0808 08:10:45.908952 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.909085 1317858 net.cpp:139] Memory required for data: 2004 +I0808 08:10:45.909313 1317858 layer_factory.hpp:77] Creating layer Level1Only +I0808 08:10:45.909847 1317858 net.cpp:86] Creating Layer Level1Only +I0808 08:10:45.909971 1317858 net.cpp:408] Level1Only <- data_data_0_split_1 +I0808 08:10:45.910133 1317858 net.cpp:382] Level1Only -> Level1Only +I0808 08:10:45.910396 1317858 net.cpp:124] Setting up Level1Only +I0808 08:10:45.916441 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.916869 1317858 net.cpp:139] Memory required for data: 2008 +I0808 08:10:45.917028 1317858 layer_factory.hpp:77] Creating layer Level>=0 +I0808 08:10:45.917232 1317858 net.cpp:86] Creating Layer Level>=0 +I0808 08:10:45.917349 1317858 net.cpp:408] Level>=0 <- data_data_0_split_2 +I0808 08:10:45.917557 1317858 net.cpp:382] Level>=0 -> Level>=0 +I0808 08:10:45.917768 1317858 net.cpp:124] Setting up Level>=0 +I0808 08:10:45.917881 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.917994 1317858 net.cpp:139] Memory required for data: 2012 +I0808 08:10:45.918157 1317858 layer_factory.hpp:77] Creating layer Level>=1 +I0808 08:10:45.918326 1317858 net.cpp:86] Creating Layer Level>=1 +I0808 08:10:45.918452 1317858 net.cpp:408] Level>=1 <- data_data_0_split_3 +I0808 08:10:45.918641 1317858 net.cpp:382] Level>=1 -> Level>=1 +I0808 08:10:45.918823 1317858 net.cpp:124] Setting up Level>=1 +I0808 08:10:45.918989 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:45.919112 1317858 net.cpp:139] Memory required for data: 2016 +I0808 08:10:45.919246 1317858 net.cpp:202] Level>=1 does not need backward computation. +I0808 08:10:45.919418 1317858 net.cpp:202] Level>=0 does not need backward computation. +I0808 08:10:45.919545 1317858 net.cpp:202] Level1Only does not need backward computation. +I0808 08:10:45.919709 1317858 net.cpp:202] NoLevel does not need backward computation. +I0808 08:10:45.919876 1317858 net.cpp:202] data_data_0_split does not need backward computation. +I0808 08:10:45.920064 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:45.920172 1317858 net.cpp:244] This network produces output Level1Only +I0808 08:10:45.920284 1317858 net.cpp:244] This network produces output Level>=0 +I0808 08:10:45.920436 1317858 net.cpp:244] This network produces output Level>=1 +I0808 08:10:45.920594 1317858 net.cpp:244] This network produces output NoLevel +I0808 08:10:45.920727 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.923002 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15383,45 +15419,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.640182 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.640195 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.640239 3877644 net.cpp:382] data -> data -I0909 12:04:26.640275 3877644 net.cpp:382] data -> label -I0909 12:04:26.640313 3877644 net.cpp:124] Setting up data -I0909 12:04:26.640347 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.640390 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.640414 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.640424 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.640440 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.640446 3877644 net.cpp:408] conv <- data -I0909 12:04:26.640455 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.640553 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.640568 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.640574 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.640585 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.640594 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.640600 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.640609 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.640791 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.640803 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.640810 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.640820 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.640827 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.640831 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.640838 3877644 net.cpp:408] loss <- label -I0909 12:04:26.640872 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.640903 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.640940 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.640949 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.640956 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.640965 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.640970 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.640976 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.640980 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.640986 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.641024 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.641054 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.642885 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.928344 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:45.928789 1317858 net.cpp:86] Creating Layer data +I0808 08:10:45.928920 1317858 net.cpp:382] data -> data +I0808 08:10:45.929064 1317858 net.cpp:382] data -> label +I0808 08:10:45.931703 1317858 net.cpp:124] Setting up data +I0808 08:10:45.931927 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:45.932104 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:45.932238 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:45.932408 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:45.932552 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:45.932770 1317858 net.cpp:408] conv <- data +I0808 08:10:45.932927 1317858 net.cpp:382] conv -> conv +I0808 08:10:45.933202 1317858 net.cpp:124] Setting up conv +I0808 08:10:45.933763 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:45.933948 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:45.934084 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:45.934232 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:45.934348 1317858 net.cpp:408] ip <- conv +I0808 08:10:45.934507 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:45.934880 1317858 net.cpp:124] Setting up ip +I0808 08:10:45.935040 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:45.935150 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:45.935302 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.935415 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:45.935556 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:45.935679 1317858 net.cpp:408] loss <- label +I0808 08:10:45.935824 1317858 net.cpp:382] loss -> loss +I0808 08:10:45.935961 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.936321 1317858 net.cpp:124] Setting up loss +I0808 08:10:45.936465 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:45.936599 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:45.937683 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:45.937841 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:45.937978 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:45.938196 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:45.938364 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:45.938491 1317858 net.cpp:244] This network produces output loss +I0808 08:10:45.938644 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.961333 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15500,45 +15536,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.642973 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.642985 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.642994 3877644 net.cpp:382] data -> data -I0909 12:04:26.643007 3877644 net.cpp:382] data -> label -I0909 12:04:26.643059 3877644 net.cpp:124] Setting up data -I0909 12:04:26.643072 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.643079 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.643085 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.643090 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.643102 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.643108 3877644 net.cpp:408] conv <- data -I0909 12:04:26.643117 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.643173 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.643185 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.643191 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.643203 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.643211 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.643242 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.643271 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.643445 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.643460 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.643467 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.643476 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.643486 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.643491 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.643497 3877644 net.cpp:408] loss <- label -I0909 12:04:26.643512 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.643524 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.643541 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.643546 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.643551 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.643561 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.643566 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.643572 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.643605 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.643630 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.643651 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.643675 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.644919 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.961961 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:45.962107 1317858 net.cpp:86] Creating Layer data +I0808 08:10:45.962307 1317858 net.cpp:382] data -> data +I0808 08:10:45.962478 1317858 net.cpp:382] data -> label +I0808 08:10:45.962653 1317858 net.cpp:124] Setting up data +I0808 08:10:45.962776 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:45.963001 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:45.963127 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:45.963297 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:45.963449 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:45.968137 1317858 net.cpp:408] conv <- data +I0808 08:10:45.968560 1317858 net.cpp:382] conv -> conv +I0808 08:10:45.968786 1317858 net.cpp:124] Setting up conv +I0808 08:10:45.968904 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:45.970748 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:45.970942 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:45.971087 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:45.971237 1317858 net.cpp:408] ip <- conv +I0808 08:10:45.971401 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:45.971761 1317858 net.cpp:124] Setting up ip +I0808 08:10:45.971916 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:45.972066 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:45.972235 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.972390 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:45.972548 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:45.972659 1317858 net.cpp:408] loss <- label +I0808 08:10:45.972810 1317858 net.cpp:382] loss -> loss +I0808 08:10:45.973012 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.973196 1317858 net.cpp:124] Setting up loss +I0808 08:10:45.973309 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:45.973452 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:45.973637 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:45.973785 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:45.973899 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:45.974049 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:45.974224 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:45.974354 1317858 net.cpp:244] This network produces output loss +I0808 08:10:45.974488 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:45.985659 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15617,45 +15653,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.645004 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.645016 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.645025 3877644 net.cpp:382] data -> data -I0909 12:04:26.645037 3877644 net.cpp:382] data -> label -I0909 12:04:26.645087 3877644 net.cpp:124] Setting up data -I0909 12:04:26.645115 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.645140 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.645164 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.645185 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.645217 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.645242 3877644 net.cpp:408] conv <- data -I0909 12:04:26.645268 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.645318 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.645331 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.645337 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.645347 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.645355 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.645360 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.645370 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.645545 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.645558 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.645565 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.645574 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.645583 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.645588 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.645596 3877644 net.cpp:408] loss <- label -I0909 12:04:26.645640 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.645661 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.645679 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.645685 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.645690 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.645700 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.645705 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.645737 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.645761 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.645784 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.645807 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.645833 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.646911 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:45.986219 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:45.986328 1317858 net.cpp:86] Creating Layer data +I0808 08:10:45.986429 1317858 net.cpp:382] data -> data +I0808 08:10:45.986590 1317858 net.cpp:382] data -> label +I0808 08:10:45.986735 1317858 net.cpp:124] Setting up data +I0808 08:10:45.986831 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:45.986994 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:45.987082 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:45.987169 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:45.987676 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:45.987800 1317858 net.cpp:408] conv <- data +I0808 08:10:45.987901 1317858 net.cpp:382] conv -> conv +I0808 08:10:45.988283 1317858 net.cpp:124] Setting up conv +I0808 08:10:45.988459 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:45.988579 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:45.988703 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:45.988863 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:45.988961 1317858 net.cpp:408] ip <- conv +I0808 08:10:45.989070 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:45.989431 1317858 net.cpp:124] Setting up ip +I0808 08:10:45.989811 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:45.989984 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:45.990130 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.990247 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:45.990420 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:45.990522 1317858 net.cpp:408] loss <- label +I0808 08:10:45.990687 1317858 net.cpp:382] loss -> loss +I0808 08:10:45.990805 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:45.991148 1317858 net.cpp:124] Setting up loss +I0808 08:10:45.991274 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:45.991369 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:45.991484 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:45.991611 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:45.991737 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:45.991885 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:45.992023 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:45.992180 1317858 net.cpp:244] This network produces output loss +I0808 08:10:45.992292 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.006162 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15734,45 +15770,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.646996 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.647007 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.647015 3877644 net.cpp:382] data -> data -I0909 12:04:26.647028 3877644 net.cpp:382] data -> label -I0909 12:04:26.647078 3877644 net.cpp:124] Setting up data -I0909 12:04:26.647109 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.647135 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.647145 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.647150 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.647163 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.647169 3877644 net.cpp:408] conv <- data -I0909 12:04:26.647177 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.647207 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.647212 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.647243 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.647271 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.647300 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.647325 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.647351 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.647495 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.647507 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.647514 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.647523 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.647531 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.647536 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.647542 3877644 net.cpp:408] loss <- label -I0909 12:04:26.647550 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.647588 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.647624 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.647648 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.647672 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.647708 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.647727 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.647733 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.647738 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.647743 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.647748 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.647756 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.648972 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.012296 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.012660 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.012763 1317858 net.cpp:382] data -> data +I0808 08:10:46.012912 1317858 net.cpp:382] data -> label +I0808 08:10:46.013114 1317858 net.cpp:124] Setting up data +I0808 08:10:46.013227 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.013386 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.013492 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.020121 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.020596 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.020721 1317858 net.cpp:408] conv <- data +I0808 08:10:46.021378 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.021673 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.021786 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.021982 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.022122 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.022290 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.022398 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.022565 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.022975 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.023108 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.023240 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.023476 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.028270 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.028827 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.028941 1317858 net.cpp:408] loss <- label +I0808 08:10:46.029065 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.029328 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.029572 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.029716 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.029861 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.030117 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.030237 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.030398 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.030514 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.030663 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.030782 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.030943 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.035920 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15851,45 +15887,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.649058 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.649072 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.649127 3877644 net.cpp:382] data -> data -I0909 12:04:26.649165 3877644 net.cpp:382] data -> label -I0909 12:04:26.649206 3877644 net.cpp:124] Setting up data -I0909 12:04:26.649240 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.649295 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.649308 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.649314 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.649331 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.649338 3877644 net.cpp:408] conv <- data -I0909 12:04:26.649348 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.649381 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.649413 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.649438 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.649468 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.649497 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.649523 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.649552 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.649722 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.649736 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.649744 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.649752 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.649760 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.649766 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.649781 3877644 net.cpp:408] loss <- label -I0909 12:04:26.649788 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.649799 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.649816 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.649821 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.649827 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.649837 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.649871 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.649895 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.649919 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.649940 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.649962 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.649986 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.650735 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.040446 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.040797 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.040953 1317858 net.cpp:382] data -> data +I0808 08:10:46.041152 1317858 net.cpp:382] data -> label +I0808 08:10:46.041371 1317858 net.cpp:124] Setting up data +I0808 08:10:46.041496 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.041620 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.041782 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.041893 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.042233 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.050700 1317858 net.cpp:408] conv <- data +I0808 08:10:46.051098 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.051409 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.051544 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.051688 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.051826 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.051928 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.052103 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.052207 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.052546 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.052656 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.052753 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.052847 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.052946 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.053061 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.053174 1317858 net.cpp:408] loss <- label +I0808 08:10:46.053263 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.053426 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.053603 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.060068 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.060442 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.060571 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.060678 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.060792 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.061745 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.061902 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.066702 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.067062 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.069921 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -15968,45 +16004,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.650818 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.650831 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.650839 3877644 net.cpp:382] data -> data -I0909 12:04:26.650863 3877644 net.cpp:382] data -> label -I0909 12:04:26.650878 3877644 net.cpp:124] Setting up data -I0909 12:04:26.650884 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.650890 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.650895 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.650900 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.650913 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.650925 3877644 net.cpp:408] conv <- data -I0909 12:04:26.650934 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.650964 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.650976 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.650983 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.650995 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.651005 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.651012 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.651021 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.651160 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.651175 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.651180 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.651189 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.651196 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.651201 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.651206 3877644 net.cpp:408] loss <- label -I0909 12:04:26.651214 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.651235 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.651252 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.651257 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.651261 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.651270 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.651274 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.651279 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.651284 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.651288 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.651293 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.651301 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.652009 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.070508 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.070663 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.070806 1317858 net.cpp:382] data -> data +I0808 08:10:46.071024 1317858 net.cpp:382] data -> label +I0808 08:10:46.071178 1317858 net.cpp:124] Setting up data +I0808 08:10:46.071398 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.071534 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.071707 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.071836 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.072090 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.072552 1317858 net.cpp:408] conv <- data +I0808 08:10:46.072681 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.072854 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.073001 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.073096 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.073211 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.073365 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.073544 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.073647 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.073984 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.074190 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.074316 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.074440 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.074558 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.074705 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.074848 1317858 net.cpp:408] loss <- label +I0808 08:10:46.074950 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.075090 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.075228 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.075322 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.075410 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.075567 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.075685 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.075850 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.077381 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.077565 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.077682 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.077837 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.085810 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16085,45 +16121,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.652091 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.652104 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.652123 3877644 net.cpp:382] data -> data -I0909 12:04:26.652136 3877644 net.cpp:382] data -> label -I0909 12:04:26.652150 3877644 net.cpp:124] Setting up data -I0909 12:04:26.652155 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.652161 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.652166 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.652170 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.652182 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.652187 3877644 net.cpp:408] conv <- data -I0909 12:04:26.652195 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.652225 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.652238 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.652245 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.652254 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.652263 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.652274 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.652282 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.652422 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.652431 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.652434 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.652439 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.652446 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.652449 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.652454 3877644 net.cpp:408] loss <- label -I0909 12:04:26.652462 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.652473 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.652496 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.652505 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.652510 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.652525 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.652530 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.652536 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.652545 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.652550 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.652554 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.652563 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.653367 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.087493 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.087674 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.087806 1317858 net.cpp:382] data -> data +I0808 08:10:46.087932 1317858 net.cpp:382] data -> label +I0808 08:10:46.088254 1317858 net.cpp:124] Setting up data +I0808 08:10:46.089032 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.089177 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.089278 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.089397 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.089511 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.089681 1317858 net.cpp:408] conv <- data +I0808 08:10:46.089823 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.089993 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.092118 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.092324 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.092485 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.092593 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.097699 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.097992 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.098400 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.098989 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.099114 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.099233 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.099339 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.099465 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.099665 1317858 net.cpp:408] loss <- label +I0808 08:10:46.099807 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.099939 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.100183 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.100306 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.100466 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.100603 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.100775 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.100911 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.101078 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.101186 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.101322 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.101454 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.113448 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16202,48 +16238,48 @@ bottom: "label" top: "loss" } -I0909 12:04:26.653442 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.653450 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.653458 3877644 net.cpp:382] data -> data -I0909 12:04:26.653466 3877644 net.cpp:382] data -> label -I0909 12:04:26.653475 3877644 net.cpp:124] Setting up data -I0909 12:04:26.653478 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.653482 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.653486 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.653488 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.653496 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.653498 3877644 net.cpp:408] conv <- data -I0909 12:04:26.653503 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.653520 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.653523 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.653527 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.653533 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.653537 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.653540 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.653545 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.653642 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.653645 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.653648 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.653653 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.653657 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.653661 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.653663 3877644 net.cpp:408] loss <- label -I0909 12:04:26.653667 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.653673 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.653681 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.653684 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.653687 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.653693 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.653697 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.653699 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.653702 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.653704 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.653707 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.653712 3877644 net.cpp:257] Network initialization done. -W0909 12:04:26.654386 3877644 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface -W0909 12:04:26.654402 3877644 _caffe.cpp:140] Use this instead (with the named "weights" parameter): -W0909 12:04:26.654404 3877644 _caffe.cpp:142] Net('/tmp/tmpp0nt3blx', 0, weights='/tmp/tmpwfg8xiht') -I0909 12:04:26.654502 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.114184 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.114306 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.114472 1317858 net.cpp:382] data -> data +I0808 08:10:46.114596 1317858 net.cpp:382] data -> label +I0808 08:10:46.114761 1317858 net.cpp:124] Setting up data +I0808 08:10:46.114882 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.115026 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.115101 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.115204 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.115355 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.115491 1317858 net.cpp:408] conv <- data +I0808 08:10:46.115594 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.115792 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.115887 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.116043 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.116204 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.116341 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.116461 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.116616 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.117004 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.117125 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.117234 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.117350 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.117492 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.117640 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.117746 1317858 net.cpp:408] loss <- label +I0808 08:10:46.118655 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.118830 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.119005 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.119177 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.119328 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.119479 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.119622 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.119752 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.119928 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.120092 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.120280 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.120407 1317858 net.cpp:257] Network initialization done. +W0808 08:10:46.123099 1317858 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface +W0808 08:10:46.132086 1317858 _caffe.cpp:140] Use this instead (with the named "weights" parameter): +W0808 08:10:46.132445 1317858 _caffe.cpp:142] Net('/tmp/tmp9ngcvl33', 0, weights='/tmp/tmpdof_8lw8') +I0808 08:10:46.133090 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16322,45 +16358,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.654640 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.654655 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.654662 3877644 net.cpp:382] data -> data -I0909 12:04:26.654672 3877644 net.cpp:382] data -> label -I0909 12:04:26.654685 3877644 net.cpp:124] Setting up data -I0909 12:04:26.654688 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.654695 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.654698 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.654702 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.654713 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.654717 3877644 net.cpp:408] conv <- data -I0909 12:04:26.654724 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.654748 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.654753 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.654758 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.654767 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.654773 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.654778 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.654783 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.654944 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.654958 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.654964 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.654973 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.654981 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.654987 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.654992 3877644 net.cpp:408] loss <- label -I0909 12:04:26.655000 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.655011 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.655066 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.655112 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.655138 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.655166 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.655187 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.655212 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.655234 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.655256 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.655277 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.655301 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.656417 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.133612 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.133783 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.133909 1317858 net.cpp:382] data -> data +I0808 08:10:46.134068 1317858 net.cpp:382] data -> label +I0808 08:10:46.134292 1317858 net.cpp:124] Setting up data +I0808 08:10:46.134410 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.134625 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.134733 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.134903 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.135104 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.135233 1317858 net.cpp:408] conv <- data +I0808 08:10:46.135381 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.135618 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.135823 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.135932 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.136199 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.136327 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.136425 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.136571 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.136878 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.136963 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.137054 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.137148 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.137272 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.137391 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.137485 1317858 net.cpp:408] loss <- label +I0808 08:10:46.137578 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.137705 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.137849 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.137940 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.138051 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.138159 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.138245 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.138366 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.138479 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.138569 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.138654 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.138773 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.141522 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16439,45 +16475,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.656498 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.656512 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.656519 3877644 net.cpp:382] data -> data -I0909 12:04:26.656563 3877644 net.cpp:382] data -> label -I0909 12:04:26.656599 3877644 net.cpp:124] Setting up data -I0909 12:04:26.656623 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.656648 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.656672 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.656694 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.656724 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.656749 3877644 net.cpp:408] conv <- data -I0909 12:04:26.656774 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.656824 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.656837 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.656845 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.656855 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.656864 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.656868 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.656877 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.657038 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.657051 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.657058 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.657066 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.657074 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.657078 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.657085 3877644 net.cpp:408] loss <- label -I0909 12:04:26.657117 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.657148 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.657186 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.657212 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.657234 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.657263 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.657285 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.657308 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.657331 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.657369 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.657394 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.657419 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.658376 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.148252 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.148644 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.148761 1317858 net.cpp:382] data -> data +I0808 08:10:46.148967 1317858 net.cpp:382] data -> label +I0808 08:10:46.149159 1317858 net.cpp:124] Setting up data +I0808 08:10:46.149283 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.149397 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.149544 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.149662 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.149857 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.149962 1317858 net.cpp:408] conv <- data +I0808 08:10:46.150135 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.150380 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.150481 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.150588 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.150738 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.150882 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.150983 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.151090 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.151500 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.151618 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.151721 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.151834 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.152019 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.152172 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.152293 1317858 net.cpp:408] loss <- label +I0808 08:10:46.152416 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.152582 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.152752 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.152859 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.152968 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.153163 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.153270 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.153404 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.153549 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.153717 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.153832 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.153983 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.170317 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16556,45 +16592,45 @@ bottom: "label" top: "loss" } -I0909 12:04:26.658463 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.658476 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.658521 3877644 net.cpp:382] data -> data -I0909 12:04:26.658573 3877644 net.cpp:382] data -> label -I0909 12:04:26.658623 3877644 net.cpp:124] Setting up data -I0909 12:04:26.658653 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.658695 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.658711 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.658717 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.658732 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.658738 3877644 net.cpp:408] conv <- data -I0909 12:04:26.658747 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.658778 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.658812 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.658838 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.658869 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.658896 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.658921 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.658949 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.659096 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.659108 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.659116 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.659124 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.659132 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.659137 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.659144 3877644 net.cpp:408] loss <- label -I0909 12:04:26.659180 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.659212 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.659250 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.659260 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.659267 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.659276 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.659281 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.659287 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.659292 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.659297 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.659302 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.659312 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.660954 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.172454 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.172801 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.172912 1317858 net.cpp:382] data -> data +I0808 08:10:46.173089 1317858 net.cpp:382] data -> label +I0808 08:10:46.173405 1317858 net.cpp:124] Setting up data +I0808 08:10:46.173537 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.173645 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.180258 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.180553 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.180717 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.180840 1317858 net.cpp:408] conv <- data +I0808 08:10:46.180981 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.181270 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.181473 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.181625 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.181756 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.181916 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.182005 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.182166 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.182538 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.188169 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.192046 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.192322 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.192453 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.192606 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.192770 1317858 net.cpp:408] loss <- label +I0808 08:10:46.192888 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.193025 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.193205 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.193315 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.193454 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.193624 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.193756 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.193862 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.193994 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.194101 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.194231 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.194340 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.198515 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16673,46 +16709,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.661036 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.661047 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.661055 3877644 net.cpp:382] data -> data -I0909 12:04:26.661067 3877644 net.cpp:382] data -> label -I0909 12:04:26.661080 3877644 net.cpp:124] Setting up data -I0909 12:04:26.661118 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.661147 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.661171 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.661180 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.661194 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.661199 3877644 net.cpp:408] conv <- data -I0909 12:04:26.661207 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.661234 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.661239 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.661245 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.661257 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.661338 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.661378 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.661393 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.661558 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.661571 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.661578 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.661587 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.661595 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.661600 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.661643 3877644 net.cpp:408] loss <- label -I0909 12:04:26.661677 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.661710 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.661748 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.661774 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.661799 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.661830 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.661851 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.661875 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.661895 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.661918 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.661938 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.661963 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.662292 3877644 hdf5.cpp:33] Datatype class: H5T_FLOAT -.I0909 12:04:26.663503 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.208722 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.209319 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.209699 1317858 net.cpp:382] data -> data +I0808 08:10:46.209880 1317858 net.cpp:382] data -> label +I0808 08:10:46.210127 1317858 net.cpp:124] Setting up data +I0808 08:10:46.210275 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.210434 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.210626 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.210760 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.211007 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.211130 1317858 net.cpp:408] conv <- data +I0808 08:10:46.211331 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.211558 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.211664 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.211761 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.211896 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.212096 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.212190 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.212284 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.212643 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.212759 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.212874 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.213001 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.213165 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.213300 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.213451 1317858 net.cpp:408] loss <- label +I0808 08:10:46.213605 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.213763 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.214051 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.214155 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.214251 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.214411 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.214511 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.214643 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.214756 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.214905 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.215050 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.215195 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.222241 1317858 hdf5.cpp:33] Datatype class: H5T_FLOAT +.I0808 08:10:46.233620 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -16791,47 +16827,47 @@ bottom: "label" top: "loss" } -I0909 12:04:26.663589 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.663601 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.663609 3877644 net.cpp:382] data -> data -I0909 12:04:26.663621 3877644 net.cpp:382] data -> label -I0909 12:04:26.663674 3877644 net.cpp:124] Setting up data -I0909 12:04:26.663702 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.663727 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.663751 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.663774 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.663792 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.663798 3877644 net.cpp:408] conv <- data -I0909 12:04:26.663808 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.663838 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.663846 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.663851 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.663861 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.663900 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.663924 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.663951 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.664093 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.664104 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.664111 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.664120 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.664129 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.664132 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.664139 3877644 net.cpp:408] loss <- label -I0909 12:04:26.664146 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.664186 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.664225 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.664251 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.664276 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.664305 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.664327 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.664350 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.664371 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.664381 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.664387 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.664395 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.665225 3877644 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B -I0909 12:04:26.665241 3877644 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB -I0909 12:04:26.665248 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.234246 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.234447 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.234602 1317858 net.cpp:382] data -> data +I0808 08:10:46.234746 1317858 net.cpp:382] data -> label +I0808 08:10:46.234951 1317858 net.cpp:124] Setting up data +I0808 08:10:46.235077 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.235306 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.235435 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.235597 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.235740 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.235883 1317858 net.cpp:408] conv <- data +I0808 08:10:46.235998 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.236219 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.236428 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.236537 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.236653 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.236768 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.236918 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.237069 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.237448 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.237568 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.237684 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.237967 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.238149 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.238303 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.238421 1317858 net.cpp:408] loss <- label +I0808 08:10:46.238575 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.238709 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.238883 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.238999 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.239152 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.239437 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.239575 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.239698 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.239840 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.239957 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.240167 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.240633 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.253216 1317858 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer B +I0808 08:10:46.253548 1317858 net.cpp:332] The NetState did not contain stage 'B' specified by a rule in layer AandB +I0808 08:10:46.253680 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -16877,43 +16913,43 @@ num_output: 1 } } -I0909 12:04:26.665359 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.665407 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.665453 3877644 net.cpp:382] data -> data -I0909 12:04:26.665503 3877644 net.cpp:124] Setting up data -I0909 12:04:26.665542 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.665555 3877644 net.cpp:139] Memory required for data: 400 -I0909 12:04:26.665562 3877644 layer_factory.hpp:77] Creating layer data_data_0_split -I0909 12:04:26.665571 3877644 net.cpp:86] Creating Layer data_data_0_split -I0909 12:04:26.665576 3877644 net.cpp:408] data_data_0_split <- data -I0909 12:04:26.665583 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I0909 12:04:26.665592 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I0909 12:04:26.665602 3877644 net.cpp:124] Setting up data_data_0_split -I0909 12:04:26.665607 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.665614 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.665643 3877644 net.cpp:139] Memory required for data: 1200 -I0909 12:04:26.665666 3877644 layer_factory.hpp:77] Creating layer A -I0909 12:04:26.665695 3877644 net.cpp:86] Creating Layer A -I0909 12:04:26.665719 3877644 net.cpp:408] A <- data_data_0_split_0 -I0909 12:04:26.665745 3877644 net.cpp:382] A -> A -I0909 12:04:26.665782 3877644 net.cpp:124] Setting up A -I0909 12:04:26.665815 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.665827 3877644 net.cpp:139] Memory required for data: 1204 -I0909 12:04:26.665839 3877644 layer_factory.hpp:77] Creating layer AorB -I0909 12:04:26.665855 3877644 net.cpp:86] Creating Layer AorB -I0909 12:04:26.665860 3877644 net.cpp:408] AorB <- data_data_0_split_1 -I0909 12:04:26.665879 3877644 net.cpp:382] AorB -> AorB -I0909 12:04:26.665902 3877644 net.cpp:124] Setting up AorB -I0909 12:04:26.665912 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.665918 3877644 net.cpp:139] Memory required for data: 1208 -I0909 12:04:26.665927 3877644 net.cpp:202] AorB does not need backward computation. -I0909 12:04:26.665933 3877644 net.cpp:202] A does not need backward computation. -I0909 12:04:26.665948 3877644 net.cpp:202] data_data_0_split does not need backward computation. -I0909 12:04:26.665954 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.665959 3877644 net.cpp:244] This network produces output A -I0909 12:04:26.665971 3877644 net.cpp:244] This network produces output AorB -I0909 12:04:26.665982 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.666502 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.254091 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.254276 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.254384 1317858 net.cpp:382] data -> data +I0808 08:10:46.254509 1317858 net.cpp:124] Setting up data +I0808 08:10:46.254679 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.254815 1317858 net.cpp:139] Memory required for data: 400 +I0808 08:10:46.254997 1317858 layer_factory.hpp:77] Creating layer data_data_0_split +I0808 08:10:46.255129 1317858 net.cpp:86] Creating Layer data_data_0_split +I0808 08:10:46.255295 1317858 net.cpp:408] data_data_0_split <- data +I0808 08:10:46.255409 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0808 08:10:46.255600 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0808 08:10:46.255741 1317858 net.cpp:124] Setting up data_data_0_split +I0808 08:10:46.255905 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.256191 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.256304 1317858 net.cpp:139] Memory required for data: 1200 +I0808 08:10:46.256410 1317858 layer_factory.hpp:77] Creating layer A +I0808 08:10:46.256889 1317858 net.cpp:86] Creating Layer A +I0808 08:10:46.257020 1317858 net.cpp:408] A <- data_data_0_split_0 +I0808 08:10:46.260879 1317858 net.cpp:382] A -> A +I0808 08:10:46.261200 1317858 net.cpp:124] Setting up A +I0808 08:10:46.261336 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.261773 1317858 net.cpp:139] Memory required for data: 1204 +I0808 08:10:46.261965 1317858 layer_factory.hpp:77] Creating layer AorB +I0808 08:10:46.262110 1317858 net.cpp:86] Creating Layer AorB +I0808 08:10:46.262293 1317858 net.cpp:408] AorB <- data_data_0_split_1 +I0808 08:10:46.262431 1317858 net.cpp:382] AorB -> AorB +I0808 08:10:46.262650 1317858 net.cpp:124] Setting up AorB +I0808 08:10:46.263960 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.264250 1317858 net.cpp:139] Memory required for data: 1208 +I0808 08:10:46.264441 1317858 net.cpp:202] AorB does not need backward computation. +I0808 08:10:46.264637 1317858 net.cpp:202] A does not need backward computation. +I0808 08:10:46.264760 1317858 net.cpp:202] data_data_0_split does not need backward computation. +I0808 08:10:46.264981 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.265100 1317858 net.cpp:244] This network produces output A +I0808 08:10:46.265259 1317858 net.cpp:244] This network produces output AorB +I0808 08:10:46.265394 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.267663 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -16985,68 +17021,68 @@ num_output: 1 } } -I0909 12:04:26.666633 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.666683 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.666698 3877644 net.cpp:382] data -> data -I0909 12:04:26.666714 3877644 net.cpp:124] Setting up data -I0909 12:04:26.666719 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.666725 3877644 net.cpp:139] Memory required for data: 400 -I0909 12:04:26.666730 3877644 layer_factory.hpp:77] Creating layer data_data_0_split -I0909 12:04:26.666738 3877644 net.cpp:86] Creating Layer data_data_0_split -I0909 12:04:26.666742 3877644 net.cpp:408] data_data_0_split <- data -I0909 12:04:26.666750 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I0909 12:04:26.666760 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I0909 12:04:26.666811 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_2 -I0909 12:04:26.666857 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_3 -I0909 12:04:26.666882 3877644 net.cpp:124] Setting up data_data_0_split -I0909 12:04:26.666888 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.666894 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.666899 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.666904 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.666909 3877644 net.cpp:139] Memory required for data: 2000 -I0909 12:04:26.666914 3877644 layer_factory.hpp:77] Creating layer A -I0909 12:04:26.666924 3877644 net.cpp:86] Creating Layer A -I0909 12:04:26.666929 3877644 net.cpp:408] A <- data_data_0_split_0 -I0909 12:04:26.666936 3877644 net.cpp:382] A -> A -I0909 12:04:26.666949 3877644 net.cpp:124] Setting up A -I0909 12:04:26.666956 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.666960 3877644 net.cpp:139] Memory required for data: 2004 -I0909 12:04:26.666966 3877644 layer_factory.hpp:77] Creating layer B -I0909 12:04:26.666971 3877644 net.cpp:86] Creating Layer B -I0909 12:04:26.666975 3877644 net.cpp:408] B <- data_data_0_split_1 -I0909 12:04:26.666978 3877644 net.cpp:382] B -> B -I0909 12:04:26.666986 3877644 net.cpp:124] Setting up B -I0909 12:04:26.666988 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.666991 3877644 net.cpp:139] Memory required for data: 2008 -I0909 12:04:26.666996 3877644 layer_factory.hpp:77] Creating layer AorB -I0909 12:04:26.667001 3877644 net.cpp:86] Creating Layer AorB -I0909 12:04:26.667003 3877644 net.cpp:408] AorB <- data_data_0_split_2 -I0909 12:04:26.667007 3877644 net.cpp:382] AorB -> AorB -I0909 12:04:26.667014 3877644 net.cpp:124] Setting up AorB -I0909 12:04:26.667016 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.667019 3877644 net.cpp:139] Memory required for data: 2012 -I0909 12:04:26.667023 3877644 layer_factory.hpp:77] Creating layer AandB -I0909 12:04:26.667027 3877644 net.cpp:86] Creating Layer AandB -I0909 12:04:26.667030 3877644 net.cpp:408] AandB <- data_data_0_split_3 -I0909 12:04:26.667034 3877644 net.cpp:382] AandB -> AandB -I0909 12:04:26.667040 3877644 net.cpp:124] Setting up AandB -I0909 12:04:26.667043 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.667047 3877644 net.cpp:139] Memory required for data: 2016 -I0909 12:04:26.667050 3877644 net.cpp:202] AandB does not need backward computation. -I0909 12:04:26.667053 3877644 net.cpp:202] AorB does not need backward computation. -I0909 12:04:26.667057 3877644 net.cpp:202] B does not need backward computation. -I0909 12:04:26.667059 3877644 net.cpp:202] A does not need backward computation. -I0909 12:04:26.667062 3877644 net.cpp:202] data_data_0_split does not need backward computation. -I0909 12:04:26.667064 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.667068 3877644 net.cpp:244] This network produces output A -I0909 12:04:26.667070 3877644 net.cpp:244] This network produces output AandB -I0909 12:04:26.667073 3877644 net.cpp:244] This network produces output AorB -I0909 12:04:26.667075 3877644 net.cpp:244] This network produces output B -I0909 12:04:26.667081 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.667542 3877644 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A -I0909 12:04:26.667562 3877644 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB -I0909 12:04:26.667569 3877644 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB -I0909 12:04:26.667573 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.272794 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.273123 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.273247 1317858 net.cpp:382] data -> data +I0808 08:10:46.273543 1317858 net.cpp:124] Setting up data +I0808 08:10:46.273670 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.273785 1317858 net.cpp:139] Memory required for data: 400 +I0808 08:10:46.273931 1317858 layer_factory.hpp:77] Creating layer data_data_0_split +I0808 08:10:46.274047 1317858 net.cpp:86] Creating Layer data_data_0_split +I0808 08:10:46.274190 1317858 net.cpp:408] data_data_0_split <- data +I0808 08:10:46.274331 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0808 08:10:46.274518 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0808 08:10:46.274632 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_2 +I0808 08:10:46.274749 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_3 +I0808 08:10:46.274904 1317858 net.cpp:124] Setting up data_data_0_split +I0808 08:10:46.275068 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.275197 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.275394 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.275710 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.275853 1317858 net.cpp:139] Memory required for data: 2000 +I0808 08:10:46.276003 1317858 layer_factory.hpp:77] Creating layer A +I0808 08:10:46.276165 1317858 net.cpp:86] Creating Layer A +I0808 08:10:46.276275 1317858 net.cpp:408] A <- data_data_0_split_0 +I0808 08:10:46.276432 1317858 net.cpp:382] A -> A +I0808 08:10:46.276583 1317858 net.cpp:124] Setting up A +I0808 08:10:46.276732 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.276861 1317858 net.cpp:139] Memory required for data: 2004 +I0808 08:10:46.277026 1317858 layer_factory.hpp:77] Creating layer B +I0808 08:10:46.277158 1317858 net.cpp:86] Creating Layer B +I0808 08:10:46.277323 1317858 net.cpp:408] B <- data_data_0_split_1 +I0808 08:10:46.277442 1317858 net.cpp:382] B -> B +I0808 08:10:46.277607 1317858 net.cpp:124] Setting up B +I0808 08:10:46.277719 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.277868 1317858 net.cpp:139] Memory required for data: 2008 +I0808 08:10:46.277985 1317858 layer_factory.hpp:77] Creating layer AorB +I0808 08:10:46.278168 1317858 net.cpp:86] Creating Layer AorB +I0808 08:10:46.278376 1317858 net.cpp:408] AorB <- data_data_0_split_2 +I0808 08:10:46.278515 1317858 net.cpp:382] AorB -> AorB +I0808 08:10:46.278651 1317858 net.cpp:124] Setting up AorB +I0808 08:10:46.278797 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.278919 1317858 net.cpp:139] Memory required for data: 2012 +I0808 08:10:46.279073 1317858 layer_factory.hpp:77] Creating layer AandB +I0808 08:10:46.280586 1317858 net.cpp:86] Creating Layer AandB +I0808 08:10:46.280794 1317858 net.cpp:408] AandB <- data_data_0_split_3 +I0808 08:10:46.280938 1317858 net.cpp:382] AandB -> AandB +I0808 08:10:46.281152 1317858 net.cpp:124] Setting up AandB +I0808 08:10:46.281318 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.281461 1317858 net.cpp:139] Memory required for data: 2016 +I0808 08:10:46.281592 1317858 net.cpp:202] AandB does not need backward computation. +I0808 08:10:46.281764 1317858 net.cpp:202] AorB does not need backward computation. +I0808 08:10:46.281896 1317858 net.cpp:202] B does not need backward computation. +I0808 08:10:46.282070 1317858 net.cpp:202] A does not need backward computation. +I0808 08:10:46.282200 1317858 net.cpp:202] data_data_0_split does not need backward computation. +I0808 08:10:46.282368 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.282477 1317858 net.cpp:244] This network produces output A +I0808 08:10:46.282615 1317858 net.cpp:244] This network produces output AandB +I0808 08:10:46.282728 1317858 net.cpp:244] This network produces output AorB +I0808 08:10:46.282858 1317858 net.cpp:244] This network produces output B +I0808 08:10:46.283048 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.289706 1317858 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer A +I0808 08:10:46.290102 1317858 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AorB +I0808 08:10:46.290232 1317858 net.cpp:332] The NetState did not contain stage 'A' specified by a rule in layer AandB +I0808 08:10:46.290419 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17092,43 +17128,43 @@ num_output: 1 } } -I0909 12:04:26.667645 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.667655 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.667662 3877644 net.cpp:382] data -> data -I0909 12:04:26.667676 3877644 net.cpp:124] Setting up data -I0909 12:04:26.667682 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.667688 3877644 net.cpp:139] Memory required for data: 400 -I0909 12:04:26.667692 3877644 layer_factory.hpp:77] Creating layer data_data_0_split -I0909 12:04:26.667701 3877644 net.cpp:86] Creating Layer data_data_0_split -I0909 12:04:26.667704 3877644 net.cpp:408] data_data_0_split <- data -I0909 12:04:26.667712 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_0 -I0909 12:04:26.667758 3877644 net.cpp:382] data_data_0_split -> data_data_0_split_1 -I0909 12:04:26.667791 3877644 net.cpp:124] Setting up data_data_0_split -I0909 12:04:26.667817 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.667841 3877644 net.cpp:131] Top shape: 1 1 10 10 (100) -I0909 12:04:26.667865 3877644 net.cpp:139] Memory required for data: 1200 -I0909 12:04:26.667884 3877644 layer_factory.hpp:77] Creating layer B -I0909 12:04:26.667909 3877644 net.cpp:86] Creating Layer B -I0909 12:04:26.667919 3877644 net.cpp:408] B <- data_data_0_split_0 -I0909 12:04:26.667927 3877644 net.cpp:382] B -> B -I0909 12:04:26.667943 3877644 net.cpp:124] Setting up B -I0909 12:04:26.667948 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.667953 3877644 net.cpp:139] Memory required for data: 1204 -I0909 12:04:26.667963 3877644 layer_factory.hpp:77] Creating layer AorB -I0909 12:04:26.667994 3877644 net.cpp:86] Creating Layer AorB -I0909 12:04:26.668017 3877644 net.cpp:408] AorB <- data_data_0_split_1 -I0909 12:04:26.668046 3877644 net.cpp:382] AorB -> AorB -I0909 12:04:26.668082 3877644 net.cpp:124] Setting up AorB -I0909 12:04:26.668107 3877644 net.cpp:131] Top shape: 1 1 (1) -I0909 12:04:26.668131 3877644 net.cpp:139] Memory required for data: 1208 -I0909 12:04:26.668145 3877644 net.cpp:202] AorB does not need backward computation. -I0909 12:04:26.668150 3877644 net.cpp:202] B does not need backward computation. -I0909 12:04:26.668156 3877644 net.cpp:202] data_data_0_split does not need backward computation. -I0909 12:04:26.668161 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.668164 3877644 net.cpp:244] This network produces output AorB -I0909 12:04:26.668169 3877644 net.cpp:244] This network produces output B -I0909 12:04:26.668176 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.669401 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.290778 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.290905 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.291013 1317858 net.cpp:382] data -> data +I0808 08:10:46.291189 1317858 net.cpp:124] Setting up data +I0808 08:10:46.291302 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.291440 1317858 net.cpp:139] Memory required for data: 400 +I0808 08:10:46.291545 1317858 layer_factory.hpp:77] Creating layer data_data_0_split +I0808 08:10:46.292649 1317858 net.cpp:86] Creating Layer data_data_0_split +I0808 08:10:46.292798 1317858 net.cpp:408] data_data_0_split <- data +I0808 08:10:46.292922 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_0 +I0808 08:10:46.293043 1317858 net.cpp:382] data_data_0_split -> data_data_0_split_1 +I0808 08:10:46.293195 1317858 net.cpp:124] Setting up data_data_0_split +I0808 08:10:46.293308 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.300396 1317858 net.cpp:131] Top shape: 1 1 10 10 (100) +I0808 08:10:46.300873 1317858 net.cpp:139] Memory required for data: 1200 +I0808 08:10:46.300979 1317858 layer_factory.hpp:77] Creating layer B +I0808 08:10:46.301127 1317858 net.cpp:86] Creating Layer B +I0808 08:10:46.301333 1317858 net.cpp:408] B <- data_data_0_split_0 +I0808 08:10:46.301455 1317858 net.cpp:382] B -> B +I0808 08:10:46.301652 1317858 net.cpp:124] Setting up B +I0808 08:10:46.301750 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.301870 1317858 net.cpp:139] Memory required for data: 1204 +I0808 08:10:46.301998 1317858 layer_factory.hpp:77] Creating layer AorB +I0808 08:10:46.302150 1317858 net.cpp:86] Creating Layer AorB +I0808 08:10:46.302260 1317858 net.cpp:408] AorB <- data_data_0_split_1 +I0808 08:10:46.302470 1317858 net.cpp:382] AorB -> AorB +I0808 08:10:46.302587 1317858 net.cpp:124] Setting up AorB +I0808 08:10:46.302760 1317858 net.cpp:131] Top shape: 1 1 (1) +I0808 08:10:46.302855 1317858 net.cpp:139] Memory required for data: 1208 +I0808 08:10:46.302968 1317858 net.cpp:202] AorB does not need backward computation. +I0808 08:10:46.303078 1317858 net.cpp:202] B does not need backward computation. +I0808 08:10:46.303241 1317858 net.cpp:202] data_data_0_split does not need backward computation. +I0808 08:10:46.304212 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.304391 1317858 net.cpp:244] This network produces output AorB +I0808 08:10:46.304490 1317858 net.cpp:244] This network produces output B +I0808 08:10:46.304589 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.308670 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17241,85 +17277,85 @@ bottom: "label" top: "loss" } -I0909 12:04:26.669508 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.669565 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.669597 3877644 net.cpp:382] data -> data -I0909 12:04:26.669631 3877644 net.cpp:382] data -> label -I0909 12:04:26.669735 3877644 net.cpp:124] Setting up data -I0909 12:04:26.669749 3877644 net.cpp:131] Top shape: 50 1 28 28 (39200) -I0909 12:04:26.669759 3877644 net.cpp:131] Top shape: 50 1 1 1 (50) -I0909 12:04:26.669764 3877644 net.cpp:139] Memory required for data: 157000 -I0909 12:04:26.669768 3877644 layer_factory.hpp:77] Creating layer conv1 -I0909 12:04:26.669785 3877644 net.cpp:86] Creating Layer conv1 -I0909 12:04:26.669814 3877644 net.cpp:408] conv1 <- data -I0909 12:04:26.669842 3877644 net.cpp:382] conv1 -> conv1 -I0909 12:04:26.669899 3877644 net.cpp:124] Setting up conv1 -I0909 12:04:26.669938 3877644 net.cpp:131] Top shape: 50 20 24 24 (576000) -I0909 12:04:26.669960 3877644 net.cpp:139] Memory required for data: 2461000 -I0909 12:04:26.669972 3877644 layer_factory.hpp:77] Creating layer pool1 -I0909 12:04:26.669983 3877644 net.cpp:86] Creating Layer pool1 -I0909 12:04:26.669989 3877644 net.cpp:408] pool1 <- conv1 -I0909 12:04:26.669996 3877644 net.cpp:382] pool1 -> pool1 -I0909 12:04:26.670024 3877644 net.cpp:124] Setting up pool1 -I0909 12:04:26.670032 3877644 net.cpp:131] Top shape: 50 20 12 12 (144000) -I0909 12:04:26.670035 3877644 net.cpp:139] Memory required for data: 3037000 -I0909 12:04:26.670038 3877644 layer_factory.hpp:77] Creating layer conv2 -I0909 12:04:26.670046 3877644 net.cpp:86] Creating Layer conv2 -I0909 12:04:26.670054 3877644 net.cpp:408] conv2 <- pool1 -I0909 12:04:26.670059 3877644 net.cpp:382] conv2 -> conv2 -I0909 12:04:26.670192 3877644 net.cpp:124] Setting up conv2 -I0909 12:04:26.670198 3877644 net.cpp:131] Top shape: 50 50 8 8 (160000) -I0909 12:04:26.670203 3877644 net.cpp:139] Memory required for data: 3677000 -I0909 12:04:26.670208 3877644 layer_factory.hpp:77] Creating layer pool2 -I0909 12:04:26.670213 3877644 net.cpp:86] Creating Layer pool2 -I0909 12:04:26.670215 3877644 net.cpp:408] pool2 <- conv2 -I0909 12:04:26.670219 3877644 net.cpp:382] pool2 -> pool2 -I0909 12:04:26.670225 3877644 net.cpp:124] Setting up pool2 -I0909 12:04:26.670228 3877644 net.cpp:131] Top shape: 50 50 4 4 (40000) -I0909 12:04:26.670230 3877644 net.cpp:139] Memory required for data: 3837000 -I0909 12:04:26.670233 3877644 layer_factory.hpp:77] Creating layer ip1 -I0909 12:04:26.670238 3877644 net.cpp:86] Creating Layer ip1 -I0909 12:04:26.670240 3877644 net.cpp:408] ip1 <- pool2 -I0909 12:04:26.670244 3877644 net.cpp:382] ip1 -> ip1 -I0909 12:04:26.672731 3877644 net.cpp:124] Setting up ip1 -I0909 12:04:26.672746 3877644 net.cpp:131] Top shape: 50 500 (25000) -I0909 12:04:26.672753 3877644 net.cpp:139] Memory required for data: 3937000 -I0909 12:04:26.672761 3877644 layer_factory.hpp:77] Creating layer relu1 -I0909 12:04:26.672770 3877644 net.cpp:86] Creating Layer relu1 -I0909 12:04:26.672775 3877644 net.cpp:408] relu1 <- ip1 -I0909 12:04:26.672780 3877644 net.cpp:369] relu1 -> ip1 (in-place) -I0909 12:04:26.672801 3877644 net.cpp:124] Setting up relu1 -I0909 12:04:26.672806 3877644 net.cpp:131] Top shape: 50 500 (25000) -I0909 12:04:26.672811 3877644 net.cpp:139] Memory required for data: 4037000 -I0909 12:04:26.672816 3877644 layer_factory.hpp:77] Creating layer ip2 -I0909 12:04:26.672822 3877644 net.cpp:86] Creating Layer ip2 -I0909 12:04:26.672827 3877644 net.cpp:408] ip2 <- ip1 -I0909 12:04:26.672832 3877644 net.cpp:382] ip2 -> ip2 -I0909 12:04:26.672891 3877644 net.cpp:124] Setting up ip2 -I0909 12:04:26.672933 3877644 net.cpp:131] Top shape: 50 10 (500) -I0909 12:04:26.672960 3877644 net.cpp:139] Memory required for data: 4039000 -I0909 12:04:26.672986 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.673012 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.673049 3877644 net.cpp:408] loss <- ip2 -I0909 12:04:26.673075 3877644 net.cpp:408] loss <- label -I0909 12:04:26.673112 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.673136 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.673153 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.673159 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.673166 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.673175 3877644 net.cpp:139] Memory required for data: 4039004 -I0909 12:04:26.673179 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.673184 3877644 net.cpp:200] ip2 needs backward computation. -I0909 12:04:26.673188 3877644 net.cpp:200] relu1 needs backward computation. -I0909 12:04:26.673193 3877644 net.cpp:200] ip1 needs backward computation. -I0909 12:04:26.673199 3877644 net.cpp:200] pool2 needs backward computation. -I0909 12:04:26.673231 3877644 net.cpp:200] conv2 needs backward computation. -I0909 12:04:26.673256 3877644 net.cpp:200] pool1 needs backward computation. -I0909 12:04:26.673278 3877644 net.cpp:200] conv1 needs backward computation. -I0909 12:04:26.673300 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.673321 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.673348 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.674154 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.310475 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.310678 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.310781 1317858 net.cpp:382] data -> data +I0808 08:10:46.310916 1317858 net.cpp:382] data -> label +I0808 08:10:46.314821 1317858 net.cpp:124] Setting up data +I0808 08:10:46.315099 1317858 net.cpp:131] Top shape: 50 1 28 28 (39200) +I0808 08:10:46.315210 1317858 net.cpp:131] Top shape: 50 1 1 1 (50) +I0808 08:10:46.315346 1317858 net.cpp:139] Memory required for data: 157000 +I0808 08:10:46.315515 1317858 layer_factory.hpp:77] Creating layer conv1 +I0808 08:10:46.320371 1317858 net.cpp:86] Creating Layer conv1 +I0808 08:10:46.321348 1317858 net.cpp:408] conv1 <- data +I0808 08:10:46.321669 1317858 net.cpp:382] conv1 -> conv1 +I0808 08:10:46.322209 1317858 net.cpp:124] Setting up conv1 +I0808 08:10:46.322552 1317858 net.cpp:131] Top shape: 50 20 24 24 (576000) +I0808 08:10:46.322691 1317858 net.cpp:139] Memory required for data: 2461000 +I0808 08:10:46.322819 1317858 layer_factory.hpp:77] Creating layer pool1 +I0808 08:10:46.322935 1317858 net.cpp:86] Creating Layer pool1 +I0808 08:10:46.323081 1317858 net.cpp:408] pool1 <- conv1 +I0808 08:10:46.323237 1317858 net.cpp:382] pool1 -> pool1 +I0808 08:10:46.323401 1317858 net.cpp:124] Setting up pool1 +I0808 08:10:46.323557 1317858 net.cpp:131] Top shape: 50 20 12 12 (144000) +I0808 08:10:46.323660 1317858 net.cpp:139] Memory required for data: 3037000 +I0808 08:10:46.323789 1317858 layer_factory.hpp:77] Creating layer conv2 +I0808 08:10:46.323900 1317858 net.cpp:86] Creating Layer conv2 +I0808 08:10:46.324052 1317858 net.cpp:408] conv2 <- pool1 +I0808 08:10:46.324162 1317858 net.cpp:382] conv2 -> conv2 +I0808 08:10:46.324851 1317858 net.cpp:124] Setting up conv2 +I0808 08:10:46.324967 1317858 net.cpp:131] Top shape: 50 50 8 8 (160000) +I0808 08:10:46.325116 1317858 net.cpp:139] Memory required for data: 3677000 +I0808 08:10:46.325235 1317858 layer_factory.hpp:77] Creating layer pool2 +I0808 08:10:46.325436 1317858 net.cpp:86] Creating Layer pool2 +I0808 08:10:46.325551 1317858 net.cpp:408] pool2 <- conv2 +I0808 08:10:46.325701 1317858 net.cpp:382] pool2 -> pool2 +I0808 08:10:46.325830 1317858 net.cpp:124] Setting up pool2 +I0808 08:10:46.331724 1317858 net.cpp:131] Top shape: 50 50 4 4 (40000) +I0808 08:10:46.332266 1317858 net.cpp:139] Memory required for data: 3837000 +I0808 08:10:46.332418 1317858 layer_factory.hpp:77] Creating layer ip1 +I0808 08:10:46.332561 1317858 net.cpp:86] Creating Layer ip1 +I0808 08:10:46.332758 1317858 net.cpp:408] ip1 <- pool2 +I0808 08:10:46.332939 1317858 net.cpp:382] ip1 -> ip1 +I0808 08:10:46.339100 1317858 net.cpp:124] Setting up ip1 +I0808 08:10:46.344347 1317858 net.cpp:131] Top shape: 50 500 (25000) +I0808 08:10:46.344722 1317858 net.cpp:139] Memory required for data: 3937000 +I0808 08:10:46.344874 1317858 layer_factory.hpp:77] Creating layer relu1 +I0808 08:10:46.345109 1317858 net.cpp:86] Creating Layer relu1 +I0808 08:10:46.345249 1317858 net.cpp:408] relu1 <- ip1 +I0808 08:10:46.345364 1317858 net.cpp:369] relu1 -> ip1 (in-place) +I0808 08:10:46.345523 1317858 net.cpp:124] Setting up relu1 +I0808 08:10:46.345660 1317858 net.cpp:131] Top shape: 50 500 (25000) +I0808 08:10:46.345767 1317858 net.cpp:139] Memory required for data: 4037000 +I0808 08:10:46.345870 1317858 layer_factory.hpp:77] Creating layer ip2 +I0808 08:10:46.346033 1317858 net.cpp:86] Creating Layer ip2 +I0808 08:10:46.346169 1317858 net.cpp:408] ip2 <- ip1 +I0808 08:10:46.346282 1317858 net.cpp:382] ip2 -> ip2 +I0808 08:10:46.346503 1317858 net.cpp:124] Setting up ip2 +I0808 08:10:46.346612 1317858 net.cpp:131] Top shape: 50 10 (500) +I0808 08:10:46.346742 1317858 net.cpp:139] Memory required for data: 4039000 +I0808 08:10:46.346856 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.347010 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.347136 1317858 net.cpp:408] loss <- ip2 +I0808 08:10:46.347271 1317858 net.cpp:408] loss <- label +I0808 08:10:46.347381 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.347525 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.347651 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.347831 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.347929 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.348186 1317858 net.cpp:139] Memory required for data: 4039004 +I0808 08:10:46.348292 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.348423 1317858 net.cpp:200] ip2 needs backward computation. +I0808 08:10:46.348539 1317858 net.cpp:200] relu1 needs backward computation. +I0808 08:10:46.348688 1317858 net.cpp:200] ip1 needs backward computation. +I0808 08:10:46.348784 1317858 net.cpp:200] pool2 needs backward computation. +I0808 08:10:46.348906 1317858 net.cpp:200] conv2 needs backward computation. +I0808 08:10:46.348997 1317858 net.cpp:200] pool1 needs backward computation. +I0808 08:10:46.349094 1317858 net.cpp:200] conv1 needs backward computation. +I0808 08:10:46.349211 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.349319 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.354501 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.358685 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17432,87 +17468,87 @@ bottom: "DummyData2" top: "SoftmaxWithLoss1" } -I0909 12:04:26.674263 3877644 layer_factory.hpp:77] Creating layer DummyData1 -I0909 12:04:26.674310 3877644 net.cpp:86] Creating Layer DummyData1 -I0909 12:04:26.674340 3877644 net.cpp:382] DummyData1 -> DummyData1 -I0909 12:04:26.674371 3877644 net.cpp:382] DummyData1 -> DummyData2 -I0909 12:04:26.674522 3877644 net.cpp:124] Setting up DummyData1 -I0909 12:04:26.674535 3877644 net.cpp:131] Top shape: 50 1 28 28 (39200) -I0909 12:04:26.674544 3877644 net.cpp:131] Top shape: 50 1 1 1 (50) -I0909 12:04:26.674551 3877644 net.cpp:139] Memory required for data: 157000 -I0909 12:04:26.674569 3877644 layer_factory.hpp:77] Creating layer Convolution1 -I0909 12:04:26.674582 3877644 net.cpp:86] Creating Layer Convolution1 -I0909 12:04:26.674587 3877644 net.cpp:408] Convolution1 <- DummyData1 -I0909 12:04:26.674595 3877644 net.cpp:382] Convolution1 -> Convolution1 -I0909 12:04:26.674660 3877644 net.cpp:124] Setting up Convolution1 -I0909 12:04:26.674702 3877644 net.cpp:131] Top shape: 50 20 24 24 (576000) -I0909 12:04:26.674716 3877644 net.cpp:139] Memory required for data: 2461000 -I0909 12:04:26.674728 3877644 layer_factory.hpp:77] Creating layer Pooling1 -I0909 12:04:26.674738 3877644 net.cpp:86] Creating Layer Pooling1 -I0909 12:04:26.674743 3877644 net.cpp:408] Pooling1 <- Convolution1 -I0909 12:04:26.674750 3877644 net.cpp:382] Pooling1 -> Pooling1 -I0909 12:04:26.674762 3877644 net.cpp:124] Setting up Pooling1 -I0909 12:04:26.674767 3877644 net.cpp:131] Top shape: 50 20 12 12 (144000) -I0909 12:04:26.674773 3877644 net.cpp:139] Memory required for data: 3037000 -I0909 12:04:26.674813 3877644 layer_factory.hpp:77] Creating layer Convolution2 -I0909 12:04:26.674844 3877644 net.cpp:86] Creating Layer Convolution2 -I0909 12:04:26.674867 3877644 net.cpp:408] Convolution2 <- Pooling1 -I0909 12:04:26.674893 3877644 net.cpp:382] Convolution2 -> Convolution2 -I0909 12:04:26.675112 3877644 net.cpp:124] Setting up Convolution2 -I0909 12:04:26.675124 3877644 net.cpp:131] Top shape: 50 50 8 8 (160000) -I0909 12:04:26.675132 3877644 net.cpp:139] Memory required for data: 3677000 -I0909 12:04:26.675140 3877644 layer_factory.hpp:77] Creating layer Pooling2 -I0909 12:04:26.675149 3877644 net.cpp:86] Creating Layer Pooling2 -I0909 12:04:26.675154 3877644 net.cpp:408] Pooling2 <- Convolution2 -I0909 12:04:26.675163 3877644 net.cpp:382] Pooling2 -> Pooling2 -I0909 12:04:26.675179 3877644 net.cpp:124] Setting up Pooling2 -I0909 12:04:26.675185 3877644 net.cpp:131] Top shape: 50 50 4 4 (40000) -I0909 12:04:26.675191 3877644 net.cpp:139] Memory required for data: 3837000 -I0909 12:04:26.675196 3877644 layer_factory.hpp:77] Creating layer InnerProduct1 -I0909 12:04:26.675202 3877644 net.cpp:86] Creating Layer InnerProduct1 -I0909 12:04:26.675206 3877644 net.cpp:408] InnerProduct1 <- Pooling2 -I0909 12:04:26.675212 3877644 net.cpp:382] InnerProduct1 -> InnerProduct1 -I0909 12:04:26.677923 3877644 net.cpp:124] Setting up InnerProduct1 -I0909 12:04:26.677937 3877644 net.cpp:131] Top shape: 50 500 (25000) -I0909 12:04:26.677944 3877644 net.cpp:139] Memory required for data: 3937000 -I0909 12:04:26.677958 3877644 layer_factory.hpp:77] Creating layer ReLU1 -I0909 12:04:26.677966 3877644 net.cpp:86] Creating Layer ReLU1 -I0909 12:04:26.677973 3877644 net.cpp:408] ReLU1 <- InnerProduct1 -I0909 12:04:26.677980 3877644 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) -I0909 12:04:26.678002 3877644 net.cpp:124] Setting up ReLU1 -I0909 12:04:26.678011 3877644 net.cpp:131] Top shape: 50 500 (25000) -I0909 12:04:26.678016 3877644 net.cpp:139] Memory required for data: 4037000 -I0909 12:04:26.678025 3877644 layer_factory.hpp:77] Creating layer InnerProduct2 -I0909 12:04:26.678031 3877644 net.cpp:86] Creating Layer InnerProduct2 -I0909 12:04:26.678040 3877644 net.cpp:408] InnerProduct2 <- InnerProduct1 -I0909 12:04:26.678047 3877644 net.cpp:382] InnerProduct2 -> InnerProduct2 -I0909 12:04:26.678105 3877644 net.cpp:124] Setting up InnerProduct2 -I0909 12:04:26.678113 3877644 net.cpp:131] Top shape: 50 10 (500) -I0909 12:04:26.678120 3877644 net.cpp:139] Memory required for data: 4039000 -I0909 12:04:26.678126 3877644 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 -I0909 12:04:26.678139 3877644 net.cpp:86] Creating Layer SoftmaxWithLoss1 -I0909 12:04:26.678177 3877644 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 -I0909 12:04:26.678201 3877644 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 -I0909 12:04:26.678226 3877644 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 -I0909 12:04:26.678258 3877644 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 -I0909 12:04:26.678305 3877644 net.cpp:124] Setting up SoftmaxWithLoss1 -I0909 12:04:26.678333 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.678357 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.678391 3877644 net.cpp:139] Memory required for data: 4039004 -I0909 12:04:26.678413 3877644 net.cpp:200] SoftmaxWithLoss1 needs backward computation. -I0909 12:04:26.678435 3877644 net.cpp:200] InnerProduct2 needs backward computation. -I0909 12:04:26.678457 3877644 net.cpp:200] ReLU1 needs backward computation. -I0909 12:04:26.678480 3877644 net.cpp:200] InnerProduct1 needs backward computation. -I0909 12:04:26.678519 3877644 net.cpp:200] Pooling2 needs backward computation. -I0909 12:04:26.678541 3877644 net.cpp:200] Convolution2 needs backward computation. -I0909 12:04:26.678566 3877644 net.cpp:200] Pooling1 needs backward computation. -I0909 12:04:26.678572 3877644 net.cpp:200] Convolution1 needs backward computation. -I0909 12:04:26.678578 3877644 net.cpp:202] DummyData1 does not need backward computation. -I0909 12:04:26.678582 3877644 net.cpp:244] This network produces output SoftmaxWithLoss1 -I0909 12:04:26.678594 3877644 net.cpp:257] Network initialization done. +I0808 08:10:46.364255 1317858 layer_factory.hpp:77] Creating layer DummyData1 +I0808 08:10:46.364660 1317858 net.cpp:86] Creating Layer DummyData1 +I0808 08:10:46.364770 1317858 net.cpp:382] DummyData1 -> DummyData1 +I0808 08:10:46.364894 1317858 net.cpp:382] DummyData1 -> DummyData2 +I0808 08:10:46.365199 1317858 net.cpp:124] Setting up DummyData1 +I0808 08:10:46.365675 1317858 net.cpp:131] Top shape: 50 1 28 28 (39200) +I0808 08:10:46.365828 1317858 net.cpp:131] Top shape: 50 1 1 1 (50) +I0808 08:10:46.365957 1317858 net.cpp:139] Memory required for data: 157000 +I0808 08:10:46.366091 1317858 layer_factory.hpp:77] Creating layer Convolution1 +I0808 08:10:46.366300 1317858 net.cpp:86] Creating Layer Convolution1 +I0808 08:10:46.366492 1317858 net.cpp:408] Convolution1 <- DummyData1 +I0808 08:10:46.366613 1317858 net.cpp:382] Convolution1 -> Convolution1 +I0808 08:10:46.366827 1317858 net.cpp:124] Setting up Convolution1 +I0808 08:10:46.366943 1317858 net.cpp:131] Top shape: 50 20 24 24 (576000) +I0808 08:10:46.367061 1317858 net.cpp:139] Memory required for data: 2461000 +I0808 08:10:46.367209 1317858 layer_factory.hpp:77] Creating layer Pooling1 +I0808 08:10:46.367328 1317858 net.cpp:86] Creating Layer Pooling1 +I0808 08:10:46.367441 1317858 net.cpp:408] Pooling1 <- Convolution1 +I0808 08:10:46.367559 1317858 net.cpp:382] Pooling1 -> Pooling1 +I0808 08:10:46.367682 1317858 net.cpp:124] Setting up Pooling1 +I0808 08:10:46.367789 1317858 net.cpp:131] Top shape: 50 20 12 12 (144000) +I0808 08:10:46.367903 1317858 net.cpp:139] Memory required for data: 3037000 +I0808 08:10:46.368049 1317858 layer_factory.hpp:77] Creating layer Convolution2 +I0808 08:10:46.368386 1317858 net.cpp:86] Creating Layer Convolution2 +I0808 08:10:46.368558 1317858 net.cpp:408] Convolution2 <- Pooling1 +I0808 08:10:46.368656 1317858 net.cpp:382] Convolution2 -> Convolution2 +I0808 08:10:46.369186 1317858 net.cpp:124] Setting up Convolution2 +I0808 08:10:46.369302 1317858 net.cpp:131] Top shape: 50 50 8 8 (160000) +I0808 08:10:46.369417 1317858 net.cpp:139] Memory required for data: 3677000 +I0808 08:10:46.369534 1317858 layer_factory.hpp:77] Creating layer Pooling2 +I0808 08:10:46.369745 1317858 net.cpp:86] Creating Layer Pooling2 +I0808 08:10:46.369875 1317858 net.cpp:408] Pooling2 <- Convolution2 +I0808 08:10:46.370007 1317858 net.cpp:382] Pooling2 -> Pooling2 +I0808 08:10:46.370219 1317858 net.cpp:124] Setting up Pooling2 +I0808 08:10:46.370340 1317858 net.cpp:131] Top shape: 50 50 4 4 (40000) +I0808 08:10:46.370507 1317858 net.cpp:139] Memory required for data: 3837000 +I0808 08:10:46.370630 1317858 layer_factory.hpp:77] Creating layer InnerProduct1 +I0808 08:10:46.370786 1317858 net.cpp:86] Creating Layer InnerProduct1 +I0808 08:10:46.370889 1317858 net.cpp:408] InnerProduct1 <- Pooling2 +I0808 08:10:46.371027 1317858 net.cpp:382] InnerProduct1 -> InnerProduct1 +I0808 08:10:46.382642 1317858 net.cpp:124] Setting up InnerProduct1 +I0808 08:10:46.388146 1317858 net.cpp:131] Top shape: 50 500 (25000) +I0808 08:10:46.388480 1317858 net.cpp:139] Memory required for data: 3937000 +I0808 08:10:46.388630 1317858 layer_factory.hpp:77] Creating layer ReLU1 +I0808 08:10:46.388762 1317858 net.cpp:86] Creating Layer ReLU1 +I0808 08:10:46.388948 1317858 net.cpp:408] ReLU1 <- InnerProduct1 +I0808 08:10:46.389094 1317858 net.cpp:369] ReLU1 -> InnerProduct1 (in-place) +I0808 08:10:46.389281 1317858 net.cpp:124] Setting up ReLU1 +I0808 08:10:46.389401 1317858 net.cpp:131] Top shape: 50 500 (25000) +I0808 08:10:46.389571 1317858 net.cpp:139] Memory required for data: 4037000 +I0808 08:10:46.389699 1317858 layer_factory.hpp:77] Creating layer InnerProduct2 +I0808 08:10:46.389866 1317858 net.cpp:86] Creating Layer InnerProduct2 +I0808 08:10:46.389990 1317858 net.cpp:408] InnerProduct2 <- InnerProduct1 +I0808 08:10:46.390165 1317858 net.cpp:382] InnerProduct2 -> InnerProduct2 +I0808 08:10:46.390641 1317858 net.cpp:124] Setting up InnerProduct2 +I0808 08:10:46.390763 1317858 net.cpp:131] Top shape: 50 10 (500) +I0808 08:10:46.390875 1317858 net.cpp:139] Memory required for data: 4039000 +I0808 08:10:46.391026 1317858 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 +I0808 08:10:46.391203 1317858 net.cpp:86] Creating Layer SoftmaxWithLoss1 +I0808 08:10:46.391357 1317858 net.cpp:408] SoftmaxWithLoss1 <- InnerProduct2 +I0808 08:10:46.391474 1317858 net.cpp:408] SoftmaxWithLoss1 <- DummyData2 +I0808 08:10:46.391634 1317858 net.cpp:382] SoftmaxWithLoss1 -> SoftmaxWithLoss1 +I0808 08:10:46.391758 1317858 layer_factory.hpp:77] Creating layer SoftmaxWithLoss1 +I0808 08:10:46.391914 1317858 net.cpp:124] Setting up SoftmaxWithLoss1 +I0808 08:10:46.392040 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.392220 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.392359 1317858 net.cpp:139] Memory required for data: 4039004 +I0808 08:10:46.392482 1317858 net.cpp:200] SoftmaxWithLoss1 needs backward computation. +I0808 08:10:46.392586 1317858 net.cpp:200] InnerProduct2 needs backward computation. +I0808 08:10:46.392743 1317858 net.cpp:200] ReLU1 needs backward computation. +I0808 08:10:46.392835 1317858 net.cpp:200] InnerProduct1 needs backward computation. +I0808 08:10:46.392951 1317858 net.cpp:200] Pooling2 needs backward computation. +I0808 08:10:46.393043 1317858 net.cpp:200] Convolution2 needs backward computation. +I0808 08:10:46.393183 1317858 net.cpp:200] Pooling1 needs backward computation. +I0808 08:10:46.393297 1317858 net.cpp:200] Convolution1 needs backward computation. +I0808 08:10:46.393410 1317858 net.cpp:202] DummyData1 does not need backward computation. +I0808 08:10:46.393565 1317858 net.cpp:244] This network produces output SoftmaxWithLoss1 +I0808 08:10:46.393736 1317858 net.cpp:257] Network initialization done. ./build/reproducible-path/caffe-1.0.0+git20180821.99bd997/python/caffe/test/test_net_spec.py:87: DeprecationWarning: Please use assertRaisesRegex instead. with self.assertRaisesRegexp(TypeError, r): -.I0909 12:04:26.680083 3877644 net.cpp:53] Initializing net from parameters: +.I0808 08:10:46.417537 1317858 net.cpp:53] Initializing net from parameters: state { phase: TEST level: 0 @@ -17538,32 +17574,32 @@ type: "Silence" bottom: "data2" } -I0909 12:04:26.680126 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.680137 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.680143 3877644 net.cpp:382] data -> data -I0909 12:04:26.680155 3877644 net.cpp:382] data -> data2 -I0909 12:04:26.680205 3877644 net.cpp:124] Setting up data -I0909 12:04:26.680233 3877644 net.cpp:131] Top shape: 3 (3) -I0909 12:04:26.680258 3877644 net.cpp:131] Top shape: 3 (3) -I0909 12:04:26.680279 3877644 net.cpp:139] Memory required for data: 24 -I0909 12:04:26.680302 3877644 layer_factory.hpp:77] Creating layer silence_data -I0909 12:04:26.680339 3877644 net.cpp:86] Creating Layer silence_data -I0909 12:04:26.680364 3877644 net.cpp:408] silence_data <- data -I0909 12:04:26.680390 3877644 net.cpp:124] Setting up silence_data -I0909 12:04:26.680411 3877644 net.cpp:139] Memory required for data: 24 -I0909 12:04:26.680433 3877644 layer_factory.hpp:77] Creating layer silence_data2 -I0909 12:04:26.680456 3877644 net.cpp:86] Creating Layer silence_data2 -I0909 12:04:26.680480 3877644 net.cpp:408] silence_data2 <- data2 -I0909 12:04:26.680500 3877644 net.cpp:124] Setting up silence_data2 -I0909 12:04:26.680522 3877644 net.cpp:139] Memory required for data: 24 -I0909 12:04:26.680542 3877644 net.cpp:202] silence_data2 does not need backward computation. -I0909 12:04:26.680564 3877644 net.cpp:202] silence_data does not need backward computation. -I0909 12:04:26.680586 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.680610 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.681149 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpgl_pk30i -I0909 12:04:26.681170 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.681176 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.681196 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.421977 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.422381 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.422612 1317858 net.cpp:382] data -> data +I0808 08:10:46.422760 1317858 net.cpp:382] data -> data2 +I0808 08:10:46.422940 1317858 net.cpp:124] Setting up data +I0808 08:10:46.423045 1317858 net.cpp:131] Top shape: 3 (3) +I0808 08:10:46.423157 1317858 net.cpp:131] Top shape: 3 (3) +I0808 08:10:46.423336 1317858 net.cpp:139] Memory required for data: 24 +I0808 08:10:46.423441 1317858 layer_factory.hpp:77] Creating layer silence_data +I0808 08:10:46.423939 1317858 net.cpp:86] Creating Layer silence_data +I0808 08:10:46.424089 1317858 net.cpp:408] silence_data <- data +I0808 08:10:46.424239 1317858 net.cpp:124] Setting up silence_data +I0808 08:10:46.424427 1317858 net.cpp:139] Memory required for data: 24 +I0808 08:10:46.424553 1317858 layer_factory.hpp:77] Creating layer silence_data2 +I0808 08:10:46.424690 1317858 net.cpp:86] Creating Layer silence_data2 +I0808 08:10:46.424841 1317858 net.cpp:408] silence_data2 <- data2 +I0808 08:10:46.424963 1317858 net.cpp:124] Setting up silence_data2 +I0808 08:10:46.425101 1317858 net.cpp:139] Memory required for data: 24 +I0808 08:10:46.425212 1317858 net.cpp:202] silence_data2 does not need backward computation. +I0808 08:10:46.425359 1317858 net.cpp:202] silence_data does not need backward computation. +I0808 08:10:46.425544 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.425671 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.433090 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp9m901cbs +I0808 08:10:46.433393 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.433544 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.433693 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17612,43 +17648,43 @@ layer: "SimpleLayer" } } -I0909 12:04:26.681301 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.681318 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.681326 3877644 net.cpp:382] input -> data -I0909 12:04:26.681337 3877644 net.cpp:124] Setting up input -I0909 12:04:26.681340 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.681344 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.681346 3877644 layer_factory.hpp:77] Creating layer one -I0909 12:04:26.681403 3877644 net.cpp:86] Creating Layer one -I0909 12:04:26.681408 3877644 net.cpp:408] one <- data -I0909 12:04:26.681412 3877644 net.cpp:382] one -> one -I0909 12:04:26.681454 3877644 net.cpp:124] Setting up one -I0909 12:04:26.681458 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.681463 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.681464 3877644 layer_factory.hpp:77] Creating layer two -I0909 12:04:26.681483 3877644 net.cpp:86] Creating Layer two -I0909 12:04:26.681485 3877644 net.cpp:408] two <- one -I0909 12:04:26.681489 3877644 net.cpp:382] two -> two -I0909 12:04:26.681505 3877644 net.cpp:124] Setting up two -I0909 12:04:26.681509 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.681512 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.681514 3877644 layer_factory.hpp:77] Creating layer three -I0909 12:04:26.681527 3877644 net.cpp:86] Creating Layer three -I0909 12:04:26.681531 3877644 net.cpp:408] three <- two -I0909 12:04:26.681535 3877644 net.cpp:382] three -> three -I0909 12:04:26.681548 3877644 net.cpp:124] Setting up three -I0909 12:04:26.681551 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.681555 3877644 net.cpp:139] Memory required for data: 11520 -I0909 12:04:26.681557 3877644 net.cpp:202] three does not need backward computation. -I0909 12:04:26.681560 3877644 net.cpp:202] two does not need backward computation. -I0909 12:04:26.681563 3877644 net.cpp:202] one does not need backward computation. -I0909 12:04:26.681566 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.681568 3877644 net.cpp:244] This network produces output three -I0909 12:04:26.681573 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.684154 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpg_s9_yeg -I0909 12:04:26.684172 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.684178 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.684196 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.434018 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.434142 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.434285 1317858 net.cpp:382] input -> data +I0808 08:10:46.434407 1317858 net.cpp:124] Setting up input +I0808 08:10:46.434538 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.434643 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.434741 1317858 layer_factory.hpp:77] Creating layer one +I0808 08:10:46.439776 1317858 net.cpp:86] Creating Layer one +I0808 08:10:46.440199 1317858 net.cpp:408] one <- data +I0808 08:10:46.440331 1317858 net.cpp:382] one -> one +I0808 08:10:46.440724 1317858 net.cpp:124] Setting up one +I0808 08:10:46.440838 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.440950 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.441038 1317858 layer_factory.hpp:77] Creating layer two +I0808 08:10:46.441216 1317858 net.cpp:86] Creating Layer two +I0808 08:10:46.441323 1317858 net.cpp:408] two <- one +I0808 08:10:46.441462 1317858 net.cpp:382] two -> two +I0808 08:10:46.441617 1317858 net.cpp:124] Setting up two +I0808 08:10:46.441753 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.443410 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.443620 1317858 layer_factory.hpp:77] Creating layer three +I0808 08:10:46.443821 1317858 net.cpp:86] Creating Layer three +I0808 08:10:46.444022 1317858 net.cpp:408] three <- two +I0808 08:10:46.444154 1317858 net.cpp:382] three -> three +I0808 08:10:46.444365 1317858 net.cpp:124] Setting up three +I0808 08:10:46.444475 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.444586 1317858 net.cpp:139] Memory required for data: 11520 +I0808 08:10:46.444727 1317858 net.cpp:202] three does not need backward computation. +I0808 08:10:46.444859 1317858 net.cpp:202] two does not need backward computation. +I0808 08:10:46.444959 1317858 net.cpp:202] one does not need backward computation. +I0808 08:10:46.445143 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.445237 1317858 net.cpp:244] This network produces output three +I0808 08:10:46.445394 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.466262 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpae4febh6 +I0808 08:10:46.472098 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.472514 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.472666 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17697,43 +17733,43 @@ layer: "SimpleLayer" } } -I0909 12:04:26.684298 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.684346 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.684388 3877644 net.cpp:382] input -> data -I0909 12:04:26.684408 3877644 net.cpp:124] Setting up input -I0909 12:04:26.684414 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.684420 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.684424 3877644 layer_factory.hpp:77] Creating layer one -I0909 12:04:26.684465 3877644 net.cpp:86] Creating Layer one -I0909 12:04:26.684497 3877644 net.cpp:408] one <- data -I0909 12:04:26.684523 3877644 net.cpp:382] one -> one -I0909 12:04:26.684582 3877644 net.cpp:124] Setting up one -I0909 12:04:26.684621 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.684648 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.684672 3877644 layer_factory.hpp:77] Creating layer two -I0909 12:04:26.684724 3877644 net.cpp:86] Creating Layer two -I0909 12:04:26.684737 3877644 net.cpp:408] two <- one -I0909 12:04:26.684746 3877644 net.cpp:382] two -> two -I0909 12:04:26.684782 3877644 net.cpp:124] Setting up two -I0909 12:04:26.684818 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.684845 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.684866 3877644 layer_factory.hpp:77] Creating layer three -I0909 12:04:26.684922 3877644 net.cpp:86] Creating Layer three -I0909 12:04:26.684963 3877644 net.cpp:408] three <- two -I0909 12:04:26.684993 3877644 net.cpp:382] three -> three -I0909 12:04:26.685055 3877644 net.cpp:124] Setting up three -I0909 12:04:26.685070 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.685076 3877644 net.cpp:139] Memory required for data: 11520 -I0909 12:04:26.685081 3877644 net.cpp:202] three does not need backward computation. -I0909 12:04:26.685087 3877644 net.cpp:202] two does not need backward computation. -I0909 12:04:26.685091 3877644 net.cpp:202] one does not need backward computation. -I0909 12:04:26.685097 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.685127 3877644 net.cpp:244] This network produces output three -I0909 12:04:26.685153 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.685504 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpuql4bcbi -I0909 12:04:26.685523 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.685528 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.685542 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.473045 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.473205 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.473418 1317858 net.cpp:382] input -> data +I0808 08:10:46.473650 1317858 net.cpp:124] Setting up input +I0808 08:10:46.473762 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.473876 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.474066 1317858 layer_factory.hpp:77] Creating layer one +I0808 08:10:46.474328 1317858 net.cpp:86] Creating Layer one +I0808 08:10:46.474457 1317858 net.cpp:408] one <- data +I0808 08:10:46.474582 1317858 net.cpp:382] one -> one +I0808 08:10:46.474834 1317858 net.cpp:124] Setting up one +I0808 08:10:46.475003 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.475132 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.475243 1317858 layer_factory.hpp:77] Creating layer two +I0808 08:10:46.475414 1317858 net.cpp:86] Creating Layer two +I0808 08:10:46.475521 1317858 net.cpp:408] two <- one +I0808 08:10:46.475648 1317858 net.cpp:382] two -> two +I0808 08:10:46.475788 1317858 net.cpp:124] Setting up two +I0808 08:10:46.475915 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.476112 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.476245 1317858 layer_factory.hpp:77] Creating layer three +I0808 08:10:46.476459 1317858 net.cpp:86] Creating Layer three +I0808 08:10:46.476675 1317858 net.cpp:408] three <- two +I0808 08:10:46.476867 1317858 net.cpp:382] three -> three +I0808 08:10:46.477067 1317858 net.cpp:124] Setting up three +I0808 08:10:46.477234 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.477361 1317858 net.cpp:139] Memory required for data: 11520 +I0808 08:10:46.477488 1317858 net.cpp:202] three does not need backward computation. +I0808 08:10:46.477640 1317858 net.cpp:202] two does not need backward computation. +I0808 08:10:46.477839 1317858 net.cpp:202] one does not need backward computation. +I0808 08:10:46.477926 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.478049 1317858 net.cpp:244] This network produces output three +I0808 08:10:46.478149 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.479424 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpqim4t0zm +I0808 08:10:46.479616 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.479727 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.479902 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17762,20 +17798,20 @@ layer: "ExceptionLayer" } } -I0909 12:04:26.685622 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.685639 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.685647 3877644 net.cpp:382] input -> data -I0909 12:04:26.685658 3877644 net.cpp:124] Setting up input -I0909 12:04:26.685663 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.685669 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.685674 3877644 layer_factory.hpp:77] Creating layer layer -I0909 12:04:26.685717 3877644 net.cpp:86] Creating Layer layer -I0909 12:04:26.685753 3877644 net.cpp:408] layer <- data -I0909 12:04:26.685781 3877644 net.cpp:382] layer -> top -.I0909 12:04:26.686328 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpb1qvjvwp -I0909 12:04:26.686347 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.686352 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.686370 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.480264 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.480391 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.480501 1317858 net.cpp:382] input -> data +I0808 08:10:46.480667 1317858 net.cpp:124] Setting up input +I0808 08:10:46.480760 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.480883 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.480983 1317858 layer_factory.hpp:77] Creating layer layer +I0808 08:10:46.481186 1317858 net.cpp:86] Creating Layer layer +I0808 08:10:46.481878 1317858 net.cpp:408] layer <- data +I0808 08:10:46.482000 1317858 net.cpp:382] layer -> top +.I0808 08:10:46.489774 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp2uddyovg +I0808 08:10:46.490109 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.490240 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.490404 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17824,43 +17860,43 @@ layer: "SimpleLayer" } } -I0909 12:04:26.686472 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.686520 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.686568 3877644 net.cpp:382] input -> data -I0909 12:04:26.686628 3877644 net.cpp:124] Setting up input -I0909 12:04:26.686666 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.686705 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.686715 3877644 layer_factory.hpp:77] Creating layer one -I0909 12:04:26.686753 3877644 net.cpp:86] Creating Layer one -I0909 12:04:26.686761 3877644 net.cpp:408] one <- data -I0909 12:04:26.686769 3877644 net.cpp:382] one -> one -I0909 12:04:26.686811 3877644 net.cpp:124] Setting up one -I0909 12:04:26.686849 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.686875 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.686897 3877644 layer_factory.hpp:77] Creating layer two -I0909 12:04:26.686941 3877644 net.cpp:86] Creating Layer two -I0909 12:04:26.686978 3877644 net.cpp:408] two <- one -I0909 12:04:26.687019 3877644 net.cpp:382] two -> two -I0909 12:04:26.687084 3877644 net.cpp:124] Setting up two -I0909 12:04:26.687119 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.687129 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.687134 3877644 layer_factory.hpp:77] Creating layer three -I0909 12:04:26.687163 3877644 net.cpp:86] Creating Layer three -I0909 12:04:26.687170 3877644 net.cpp:408] three <- two -I0909 12:04:26.687176 3877644 net.cpp:382] three -> three -I0909 12:04:26.687208 3877644 net.cpp:124] Setting up three -I0909 12:04:26.687215 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.687249 3877644 net.cpp:139] Memory required for data: 11520 -I0909 12:04:26.687271 3877644 net.cpp:202] three does not need backward computation. -I0909 12:04:26.687294 3877644 net.cpp:202] two does not need backward computation. -I0909 12:04:26.687316 3877644 net.cpp:202] one does not need backward computation. -I0909 12:04:26.687338 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.687359 3877644 net.cpp:244] This network produces output three -I0909 12:04:26.687383 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.689846 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpcki35cpa -I0909 12:04:26.689864 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.689870 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.689888 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.490855 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.491051 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.491478 1317858 net.cpp:382] input -> data +I0808 08:10:46.491648 1317858 net.cpp:124] Setting up input +I0808 08:10:46.491809 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.492081 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.492240 1317858 layer_factory.hpp:77] Creating layer one +I0808 08:10:46.492580 1317858 net.cpp:86] Creating Layer one +I0808 08:10:46.492738 1317858 net.cpp:408] one <- data +I0808 08:10:46.492869 1317858 net.cpp:382] one -> one +I0808 08:10:46.493201 1317858 net.cpp:124] Setting up one +I0808 08:10:46.493465 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.493652 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.493901 1317858 layer_factory.hpp:77] Creating layer two +I0808 08:10:46.494140 1317858 net.cpp:86] Creating Layer two +I0808 08:10:46.494488 1317858 net.cpp:408] two <- one +I0808 08:10:46.494737 1317858 net.cpp:382] two -> two +I0808 08:10:46.495121 1317858 net.cpp:124] Setting up two +I0808 08:10:46.495416 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.495702 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.495810 1317858 layer_factory.hpp:77] Creating layer three +I0808 08:10:46.495967 1317858 net.cpp:86] Creating Layer three +I0808 08:10:46.496145 1317858 net.cpp:408] three <- two +I0808 08:10:46.496263 1317858 net.cpp:382] three -> three +I0808 08:10:46.496477 1317858 net.cpp:124] Setting up three +I0808 08:10:46.496585 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.496717 1317858 net.cpp:139] Memory required for data: 11520 +I0808 08:10:46.496825 1317858 net.cpp:202] three does not need backward computation. +I0808 08:10:46.496924 1317858 net.cpp:202] two does not need backward computation. +I0808 08:10:46.497066 1317858 net.cpp:202] one does not need backward computation. +I0808 08:10:46.497218 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.497339 1317858 net.cpp:244] This network produces output three +I0808 08:10:46.497426 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.533912 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpowa4thy3 +I0808 08:10:46.535588 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.535746 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.535928 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17909,43 +17945,43 @@ layer: "SimpleLayer" } } -I0909 12:04:26.689994 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.690039 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.690079 3877644 net.cpp:382] input -> data -I0909 12:04:26.690114 3877644 net.cpp:124] Setting up input -I0909 12:04:26.690124 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.690131 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.690136 3877644 layer_factory.hpp:77] Creating layer one -I0909 12:04:26.690171 3877644 net.cpp:86] Creating Layer one -I0909 12:04:26.690204 3877644 net.cpp:408] one <- data -I0909 12:04:26.690232 3877644 net.cpp:382] one -> one -I0909 12:04:26.690292 3877644 net.cpp:124] Setting up one -I0909 12:04:26.690335 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.690362 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.690385 3877644 layer_factory.hpp:77] Creating layer two -I0909 12:04:26.690424 3877644 net.cpp:86] Creating Layer two -I0909 12:04:26.690433 3877644 net.cpp:408] two <- one -I0909 12:04:26.690439 3877644 net.cpp:382] two -> two -I0909 12:04:26.690477 3877644 net.cpp:124] Setting up two -I0909 12:04:26.690512 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.690539 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.690590 3877644 layer_factory.hpp:77] Creating layer three -I0909 12:04:26.690649 3877644 net.cpp:86] Creating Layer three -I0909 12:04:26.690686 3877644 net.cpp:408] three <- two -I0909 12:04:26.690717 3877644 net.cpp:382] three -> three -I0909 12:04:26.690779 3877644 net.cpp:124] Setting up three -I0909 12:04:26.690793 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.690798 3877644 net.cpp:139] Memory required for data: 11520 -I0909 12:04:26.690804 3877644 net.cpp:202] three does not need backward computation. -I0909 12:04:26.690809 3877644 net.cpp:202] two does not need backward computation. -I0909 12:04:26.690814 3877644 net.cpp:202] one does not need backward computation. -I0909 12:04:26.690819 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.690848 3877644 net.cpp:244] This network produces output three -I0909 12:04:26.690861 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.691195 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpd2w9g5ug -I0909 12:04:26.691211 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.691217 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.691231 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.536435 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.536648 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.536803 1317858 net.cpp:382] input -> data +I0808 08:10:46.537040 1317858 net.cpp:124] Setting up input +I0808 08:10:46.537135 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.537245 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.537344 1317858 layer_factory.hpp:77] Creating layer one +I0808 08:10:46.537664 1317858 net.cpp:86] Creating Layer one +I0808 08:10:46.538079 1317858 net.cpp:408] one <- data +I0808 08:10:46.545678 1317858 net.cpp:382] one -> one +I0808 08:10:46.546406 1317858 net.cpp:124] Setting up one +I0808 08:10:46.546543 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.546684 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.546902 1317858 layer_factory.hpp:77] Creating layer two +I0808 08:10:46.547633 1317858 net.cpp:86] Creating Layer two +I0808 08:10:46.547781 1317858 net.cpp:408] two <- one +I0808 08:10:46.547910 1317858 net.cpp:382] two -> two +I0808 08:10:46.548578 1317858 net.cpp:124] Setting up two +I0808 08:10:46.548756 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.548890 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.549006 1317858 layer_factory.hpp:77] Creating layer three +I0808 08:10:46.549295 1317858 net.cpp:86] Creating Layer three +I0808 08:10:46.549485 1317858 net.cpp:408] three <- two +I0808 08:10:46.549597 1317858 net.cpp:382] three -> three +I0808 08:10:46.549806 1317858 net.cpp:124] Setting up three +I0808 08:10:46.549950 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.550096 1317858 net.cpp:139] Memory required for data: 11520 +I0808 08:10:46.550218 1317858 net.cpp:202] three does not need backward computation. +I0808 08:10:46.550369 1317858 net.cpp:202] two does not need backward computation. +I0808 08:10:46.550565 1317858 net.cpp:202] one does not need backward computation. +I0808 08:10:46.550684 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.550832 1317858 net.cpp:244] This network produces output three +I0808 08:10:46.551119 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.552435 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8ev5q5vq +I0808 08:10:46.553166 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.553316 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.553486 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -17974,27 +18010,27 @@ layer: "ParameterLayer" } } -I0909 12:04:26.691313 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.691345 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.691373 3877644 net.cpp:382] input -> data -I0909 12:04:26.691406 3877644 net.cpp:124] Setting up input -I0909 12:04:26.691431 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.691457 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.691479 3877644 layer_factory.hpp:77] Creating layer layer -I0909 12:04:26.691533 3877644 net.cpp:86] Creating Layer layer -I0909 12:04:26.691550 3877644 net.cpp:408] layer <- data -I0909 12:04:26.691557 3877644 net.cpp:382] layer -> top -I0909 12:04:26.691622 3877644 net.cpp:124] Setting up layer -I0909 12:04:26.691669 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.691700 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.691727 3877644 net.cpp:202] layer does not need backward computation. -I0909 12:04:26.691753 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.691776 3877644 net.cpp:244] This network produces output top -I0909 12:04:26.691787 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.692379 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpd2w9g5ug -I0909 12:04:26.692396 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.692402 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.692416 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.553894 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.554042 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.554294 1317858 net.cpp:382] input -> data +I0808 08:10:46.554433 1317858 net.cpp:124] Setting up input +I0808 08:10:46.554579 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.554687 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.554785 1317858 layer_factory.hpp:77] Creating layer layer +I0808 08:10:46.555035 1317858 net.cpp:86] Creating Layer layer +I0808 08:10:46.555142 1317858 net.cpp:408] layer <- data +I0808 08:10:46.555258 1317858 net.cpp:382] layer -> top +I0808 08:10:46.555586 1317858 net.cpp:124] Setting up layer +I0808 08:10:46.555701 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.555809 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.555935 1317858 net.cpp:202] layer does not need backward computation. +I0808 08:10:46.556100 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.556207 1317858 net.cpp:244] This network produces output top +I0808 08:10:46.556337 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.558264 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp8ev5q5vq +I0808 08:10:46.564827 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.565421 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.565644 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18023,27 +18059,27 @@ layer: "ParameterLayer" } } -I0909 12:04:26.692518 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.692600 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.692621 3877644 net.cpp:382] input -> data -I0909 12:04:26.692636 3877644 net.cpp:124] Setting up input -I0909 12:04:26.692641 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.692646 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.692652 3877644 layer_factory.hpp:77] Creating layer layer -I0909 12:04:26.692700 3877644 net.cpp:86] Creating Layer layer -I0909 12:04:26.692709 3877644 net.cpp:408] layer <- data -I0909 12:04:26.692718 3877644 net.cpp:382] layer -> top -I0909 12:04:26.692767 3877644 net.cpp:124] Setting up layer -I0909 12:04:26.692777 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.692785 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.692793 3877644 net.cpp:202] layer does not need backward computation. -I0909 12:04:26.692798 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.692803 3877644 net.cpp:244] This network produces output top -I0909 12:04:26.692811 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.693341 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpj6nuefdr -I0909 12:04:26.693359 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.693365 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.693383 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.566326 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.566748 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.566919 1317858 net.cpp:382] input -> data +I0808 08:10:46.568320 1317858 net.cpp:124] Setting up input +I0808 08:10:46.568497 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.568617 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.568728 1317858 layer_factory.hpp:77] Creating layer layer +I0808 08:10:46.569129 1317858 net.cpp:86] Creating Layer layer +I0808 08:10:46.569238 1317858 net.cpp:408] layer <- data +I0808 08:10:46.574440 1317858 net.cpp:382] layer -> top +I0808 08:10:46.575821 1317858 net.cpp:124] Setting up layer +I0808 08:10:46.576025 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.576200 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.576391 1317858 net.cpp:202] layer does not need backward computation. +I0808 08:10:46.576503 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.576633 1317858 net.cpp:244] This network produces output top +I0808 08:10:46.576833 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.592697 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp_xnd0b_f +I0808 08:10:46.593652 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.593770 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.594926 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18092,40 +18128,40 @@ layer: "SimpleLayer" } } -I0909 12:04:26.693485 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.693531 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.693572 3877644 net.cpp:382] input -> data -I0909 12:04:26.693593 3877644 net.cpp:124] Setting up input -I0909 12:04:26.693599 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.693605 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.693609 3877644 layer_factory.hpp:77] Creating layer one -I0909 12:04:26.693643 3877644 net.cpp:86] Creating Layer one -I0909 12:04:26.693688 3877644 net.cpp:408] one <- data -I0909 12:04:26.693719 3877644 net.cpp:382] one -> one -I0909 12:04:26.693786 3877644 net.cpp:124] Setting up one -I0909 12:04:26.693799 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.693807 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.693811 3877644 layer_factory.hpp:77] Creating layer two -I0909 12:04:26.693840 3877644 net.cpp:86] Creating Layer two -I0909 12:04:26.693876 3877644 net.cpp:408] two <- one -I0909 12:04:26.693903 3877644 net.cpp:382] two -> two -I0909 12:04:26.693958 3877644 net.cpp:124] Setting up two -I0909 12:04:26.693996 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.694023 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.694046 3877644 layer_factory.hpp:77] Creating layer three -I0909 12:04:26.694095 3877644 net.cpp:86] Creating Layer three -I0909 12:04:26.694130 3877644 net.cpp:408] three <- two -I0909 12:04:26.694170 3877644 net.cpp:382] three -> three -I0909 12:04:26.694234 3877644 net.cpp:124] Setting up three -I0909 12:04:26.694244 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.694250 3877644 net.cpp:139] Memory required for data: 11520 -I0909 12:04:26.694254 3877644 net.cpp:202] three does not need backward computation. -I0909 12:04:26.694260 3877644 net.cpp:202] two does not need backward computation. -I0909 12:04:26.694265 3877644 net.cpp:202] one does not need backward computation. -I0909 12:04:26.694270 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.694274 3877644 net.cpp:244] This network produces output three -I0909 12:04:26.694283 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.694695 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.595293 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.595444 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.597283 1317858 net.cpp:382] input -> data +I0808 08:10:46.597501 1317858 net.cpp:124] Setting up input +I0808 08:10:46.597623 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.597748 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.598028 1317858 layer_factory.hpp:77] Creating layer one +I0808 08:10:46.598395 1317858 net.cpp:86] Creating Layer one +I0808 08:10:46.598577 1317858 net.cpp:408] one <- data +I0808 08:10:46.598682 1317858 net.cpp:382] one -> one +I0808 08:10:46.599009 1317858 net.cpp:124] Setting up one +I0808 08:10:46.599124 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.599227 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.599323 1317858 layer_factory.hpp:77] Creating layer two +I0808 08:10:46.599537 1317858 net.cpp:86] Creating Layer two +I0808 08:10:46.599638 1317858 net.cpp:408] two <- one +I0808 08:10:46.600843 1317858 net.cpp:382] two -> two +I0808 08:10:46.601154 1317858 net.cpp:124] Setting up two +I0808 08:10:46.601292 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.601445 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.601542 1317858 layer_factory.hpp:77] Creating layer three +I0808 08:10:46.601765 1317858 net.cpp:86] Creating Layer three +I0808 08:10:46.601900 1317858 net.cpp:408] three <- two +I0808 08:10:46.601999 1317858 net.cpp:382] three -> three +I0808 08:10:46.602170 1317858 net.cpp:124] Setting up three +I0808 08:10:46.602299 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.602393 1317858 net.cpp:139] Memory required for data: 11520 +I0808 08:10:46.602525 1317858 net.cpp:202] three does not need backward computation. +I0808 08:10:46.602638 1317858 net.cpp:202] two does not need backward computation. +I0808 08:10:46.602751 1317858 net.cpp:202] one does not need backward computation. +I0808 08:10:46.602958 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.603096 1317858 net.cpp:244] This network produces output three +I0808 08:10:46.603211 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.606432 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18141,16 +18177,16 @@ layer: "PhaseLayer" } } -I0909 12:04:26.694732 3877644 layer_factory.hpp:77] Creating layer layer -I0909 12:04:26.694767 3877644 net.cpp:86] Creating Layer layer -I0909 12:04:26.694784 3877644 net.cpp:382] layer -> phase -I0909 12:04:26.694816 3877644 net.cpp:124] Setting up layer -I0909 12:04:26.694823 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.694828 3877644 net.cpp:139] Memory required for data: 4 -I0909 12:04:26.694833 3877644 net.cpp:202] layer does not need backward computation. -I0909 12:04:26.694839 3877644 net.cpp:244] This network produces output phase -I0909 12:04:26.694844 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.695037 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.613559 1317858 layer_factory.hpp:77] Creating layer layer +I0808 08:10:46.617213 1317858 net.cpp:86] Creating Layer layer +I0808 08:10:46.617529 1317858 net.cpp:382] layer -> phase +I0808 08:10:46.617770 1317858 net.cpp:124] Setting up layer +I0808 08:10:46.617947 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.618060 1317858 net.cpp:139] Memory required for data: 4 +I0808 08:10:46.618180 1317858 net.cpp:202] layer does not need backward computation. +I0808 08:10:46.618328 1317858 net.cpp:244] This network produces output phase +I0808 08:10:46.618444 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.619313 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18166,19 +18202,19 @@ layer: "PhaseLayer" } } -I0909 12:04:26.695073 3877644 layer_factory.hpp:77] Creating layer layer -I0909 12:04:26.695103 3877644 net.cpp:86] Creating Layer layer -I0909 12:04:26.695145 3877644 net.cpp:382] layer -> phase -I0909 12:04:26.695199 3877644 net.cpp:124] Setting up layer -I0909 12:04:26.695237 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.695277 3877644 net.cpp:139] Memory required for data: 4 -I0909 12:04:26.695302 3877644 net.cpp:202] layer does not need backward computation. -I0909 12:04:26.695310 3877644 net.cpp:244] This network produces output phase -I0909 12:04:26.695317 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.695824 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpad52ny_0 -I0909 12:04:26.695842 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.695848 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.695865 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.621845 1317858 layer_factory.hpp:77] Creating layer layer +I0808 08:10:46.622319 1317858 net.cpp:86] Creating Layer layer +I0808 08:10:46.622535 1317858 net.cpp:382] layer -> phase +I0808 08:10:46.622761 1317858 net.cpp:124] Setting up layer +I0808 08:10:46.622928 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.623025 1317858 net.cpp:139] Memory required for data: 4 +I0808 08:10:46.623126 1317858 net.cpp:202] layer does not need backward computation. +I0808 08:10:46.623354 1317858 net.cpp:244] This network produces output phase +I0808 08:10:46.623466 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.625857 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpro4z6cu0 +I0808 08:10:46.630555 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.630834 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.631050 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18227,43 +18263,43 @@ layer: "SimpleLayer" } } -I0909 12:04:26.695967 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.696012 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.696053 3877644 net.cpp:382] input -> data -I0909 12:04:26.696087 3877644 net.cpp:124] Setting up input -I0909 12:04:26.696113 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.696125 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.696130 3877644 layer_factory.hpp:77] Creating layer one -I0909 12:04:26.696164 3877644 net.cpp:86] Creating Layer one -I0909 12:04:26.696172 3877644 net.cpp:408] one <- data -I0909 12:04:26.696180 3877644 net.cpp:382] one -> one -I0909 12:04:26.696245 3877644 net.cpp:124] Setting up one -I0909 12:04:26.696261 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.696267 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.696272 3877644 layer_factory.hpp:77] Creating layer two -I0909 12:04:26.696300 3877644 net.cpp:86] Creating Layer two -I0909 12:04:26.696334 3877644 net.cpp:408] two <- one -I0909 12:04:26.696360 3877644 net.cpp:382] two -> two -I0909 12:04:26.696414 3877644 net.cpp:124] Setting up two -I0909 12:04:26.696445 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.696470 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.696491 3877644 layer_factory.hpp:77] Creating layer three -I0909 12:04:26.696532 3877644 net.cpp:86] Creating Layer three -I0909 12:04:26.696560 3877644 net.cpp:408] three <- two -I0909 12:04:26.696586 3877644 net.cpp:382] three -> three -I0909 12:04:26.696622 3877644 net.cpp:124] Setting up three -I0909 12:04:26.696630 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.696658 3877644 net.cpp:139] Memory required for data: 11520 -I0909 12:04:26.696679 3877644 net.cpp:202] three does not need backward computation. -I0909 12:04:26.696703 3877644 net.cpp:202] two does not need backward computation. -I0909 12:04:26.696727 3877644 net.cpp:202] one does not need backward computation. -I0909 12:04:26.696748 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.696769 3877644 net.cpp:244] This network produces output three -I0909 12:04:26.696781 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.697450 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpho3qazx3 -I0909 12:04:26.697469 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.697475 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.697492 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.631628 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.631845 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.632162 1317858 net.cpp:382] input -> data +I0808 08:10:46.632336 1317858 net.cpp:124] Setting up input +I0808 08:10:46.632448 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.632602 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.632716 1317858 layer_factory.hpp:77] Creating layer one +I0808 08:10:46.632982 1317858 net.cpp:86] Creating Layer one +I0808 08:10:46.633121 1317858 net.cpp:408] one <- data +I0808 08:10:46.633219 1317858 net.cpp:382] one -> one +I0808 08:10:46.633448 1317858 net.cpp:124] Setting up one +I0808 08:10:46.633635 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.633730 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.633821 1317858 layer_factory.hpp:77] Creating layer two +I0808 08:10:46.633976 1317858 net.cpp:86] Creating Layer two +I0808 08:10:46.634111 1317858 net.cpp:408] two <- one +I0808 08:10:46.634213 1317858 net.cpp:382] two -> two +I0808 08:10:46.634393 1317858 net.cpp:124] Setting up two +I0808 08:10:46.634498 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.634625 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.634716 1317858 layer_factory.hpp:77] Creating layer three +I0808 08:10:46.634877 1317858 net.cpp:86] Creating Layer three +I0808 08:10:46.634995 1317858 net.cpp:408] three <- two +I0808 08:10:46.635166 1317858 net.cpp:382] three -> three +I0808 08:10:46.635355 1317858 net.cpp:124] Setting up three +I0808 08:10:46.635450 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.635550 1317858 net.cpp:139] Memory required for data: 11520 +I0808 08:10:46.635636 1317858 net.cpp:202] three does not need backward computation. +I0808 08:10:46.635747 1317858 net.cpp:202] two does not need backward computation. +I0808 08:10:46.635835 1317858 net.cpp:202] one does not need backward computation. +I0808 08:10:46.635949 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.636122 1317858 net.cpp:244] This network produces output three +I0808 08:10:46.636238 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.645730 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpv156r14g +I0808 08:10:46.646409 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.646530 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.646837 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18304,35 +18340,35 @@ param_str: "2" } } -I0909 12:04:26.697585 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.697619 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.697645 3877644 net.cpp:382] input -> data -I0909 12:04:26.697677 3877644 net.cpp:124] Setting up input -I0909 12:04:26.697702 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.697726 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.697749 3877644 layer_factory.hpp:77] Creating layer mul10 -I0909 12:04:26.697813 3877644 net.cpp:86] Creating Layer mul10 -I0909 12:04:26.697855 3877644 net.cpp:408] mul10 <- data -I0909 12:04:26.697886 3877644 net.cpp:382] mul10 -> mul10 -I0909 12:04:26.697975 3877644 net.cpp:124] Setting up mul10 -I0909 12:04:26.697988 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.697995 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.697999 3877644 layer_factory.hpp:77] Creating layer mul2 -I0909 12:04:26.698030 3877644 net.cpp:86] Creating Layer mul2 -I0909 12:04:26.698065 3877644 net.cpp:408] mul2 <- mul10 -I0909 12:04:26.698078 3877644 net.cpp:382] mul2 -> mul2 -I0909 12:04:26.698117 3877644 net.cpp:124] Setting up mul2 -I0909 12:04:26.698125 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.698130 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.698135 3877644 net.cpp:202] mul2 does not need backward computation. -I0909 12:04:26.698140 3877644 net.cpp:202] mul10 does not need backward computation. -I0909 12:04:26.698145 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.698150 3877644 net.cpp:244] This network produces output mul2 -I0909 12:04:26.698158 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.700599 3877644 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmp_n7l5xij -I0909 12:04:26.700618 3877644 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. -W0909 12:04:26.700623 3877644 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. -I0909 12:04:26.700640 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.647286 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.647421 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.647541 1317858 net.cpp:382] input -> data +I0808 08:10:46.647725 1317858 net.cpp:124] Setting up input +I0808 08:10:46.647836 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.648064 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.648240 1317858 layer_factory.hpp:77] Creating layer mul10 +I0808 08:10:46.648524 1317858 net.cpp:86] Creating Layer mul10 +I0808 08:10:46.648672 1317858 net.cpp:408] mul10 <- data +I0808 08:10:46.648783 1317858 net.cpp:382] mul10 -> mul10 +I0808 08:10:46.649140 1317858 net.cpp:124] Setting up mul10 +I0808 08:10:46.649258 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.649369 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.649500 1317858 layer_factory.hpp:77] Creating layer mul2 +I0808 08:10:46.649665 1317858 net.cpp:86] Creating Layer mul2 +I0808 08:10:46.649777 1317858 net.cpp:408] mul2 <- mul10 +I0808 08:10:46.649890 1317858 net.cpp:382] mul2 -> mul2 +I0808 08:10:46.650100 1317858 net.cpp:124] Setting up mul2 +I0808 08:10:46.650218 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.650355 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.650465 1317858 net.cpp:202] mul2 does not need backward computation. +I0808 08:10:46.650588 1317858 net.cpp:202] mul10 does not need backward computation. +I0808 08:10:46.650808 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.650907 1317858 net.cpp:244] This network produces output mul2 +I0808 08:10:46.651011 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.670557 1317858 upgrade_proto.cpp:69] Attempting to upgrade input file specified using deprecated input fields: /tmp/tmpsqgpuu65 +I0808 08:10:46.676079 1317858 upgrade_proto.cpp:72] Successfully upgraded file specified using deprecated input fields. +W0808 08:10:46.676384 1317858 upgrade_proto.cpp:74] Note that future Caffe releases will only support input layers and not input fields. +I0808 08:10:46.676542 1317858 net.cpp:53] Initializing net from parameters: name: "pythonnet" force_backward: true state { @@ -18373,32 +18409,32 @@ param_str: "2" } } -I0909 12:04:26.700738 3877644 layer_factory.hpp:77] Creating layer input -I0909 12:04:26.700774 3877644 net.cpp:86] Creating Layer input -I0909 12:04:26.700803 3877644 net.cpp:382] input -> data -I0909 12:04:26.700835 3877644 net.cpp:124] Setting up input -I0909 12:04:26.700860 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.700886 3877644 net.cpp:139] Memory required for data: 2880 -I0909 12:04:26.700906 3877644 layer_factory.hpp:77] Creating layer mul10 -I0909 12:04:26.700958 3877644 net.cpp:86] Creating Layer mul10 -I0909 12:04:26.700999 3877644 net.cpp:408] mul10 <- data -I0909 12:04:26.701030 3877644 net.cpp:382] mul10 -> mul10 -I0909 12:04:26.701100 3877644 net.cpp:124] Setting up mul10 -I0909 12:04:26.701114 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.701121 3877644 net.cpp:139] Memory required for data: 5760 -I0909 12:04:26.701125 3877644 layer_factory.hpp:77] Creating layer mul2 -I0909 12:04:26.701155 3877644 net.cpp:86] Creating Layer mul2 -I0909 12:04:26.701191 3877644 net.cpp:408] mul2 <- mul10 -I0909 12:04:26.701206 3877644 net.cpp:382] mul2 -> mul2 -I0909 12:04:26.701246 3877644 net.cpp:124] Setting up mul2 -I0909 12:04:26.701252 3877644 net.cpp:131] Top shape: 10 9 8 (720) -I0909 12:04:26.701258 3877644 net.cpp:139] Memory required for data: 8640 -I0909 12:04:26.701262 3877644 net.cpp:202] mul2 does not need backward computation. -I0909 12:04:26.701267 3877644 net.cpp:202] mul10 does not need backward computation. -I0909 12:04:26.701269 3877644 net.cpp:202] input does not need backward computation. -I0909 12:04:26.701272 3877644 net.cpp:244] This network produces output mul2 -I0909 12:04:26.701275 3877644 net.cpp:257] Network initialization done. -.I0909 12:04:26.703869 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.676800 1317858 layer_factory.hpp:77] Creating layer input +I0808 08:10:46.676967 1317858 net.cpp:86] Creating Layer input +I0808 08:10:46.677071 1317858 net.cpp:382] input -> data +I0808 08:10:46.677192 1317858 net.cpp:124] Setting up input +I0808 08:10:46.677328 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.677465 1317858 net.cpp:139] Memory required for data: 2880 +I0808 08:10:46.677563 1317858 layer_factory.hpp:77] Creating layer mul10 +I0808 08:10:46.677783 1317858 net.cpp:86] Creating Layer mul10 +I0808 08:10:46.677939 1317858 net.cpp:408] mul10 <- data +I0808 08:10:46.678047 1317858 net.cpp:382] mul10 -> mul10 +I0808 08:10:46.678324 1317858 net.cpp:124] Setting up mul10 +I0808 08:10:46.678442 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.678548 1317858 net.cpp:139] Memory required for data: 5760 +I0808 08:10:46.678705 1317858 layer_factory.hpp:77] Creating layer mul2 +I0808 08:10:46.678965 1317858 net.cpp:86] Creating Layer mul2 +I0808 08:10:46.679080 1317858 net.cpp:408] mul2 <- mul10 +I0808 08:10:46.679183 1317858 net.cpp:382] mul2 -> mul2 +I0808 08:10:46.679356 1317858 net.cpp:124] Setting up mul2 +I0808 08:10:46.679456 1317858 net.cpp:131] Top shape: 10 9 8 (720) +I0808 08:10:46.679581 1317858 net.cpp:139] Memory required for data: 8640 +I0808 08:10:46.679680 1317858 net.cpp:202] mul2 does not need backward computation. +I0808 08:10:46.679780 1317858 net.cpp:202] mul10 does not need backward computation. +I0808 08:10:46.679905 1317858 net.cpp:202] input does not need backward computation. +I0808 08:10:46.680106 1317858 net.cpp:244] This network produces output mul2 +I0808 08:10:46.680223 1317858 net.cpp:257] Network initialization done. +.I0808 08:10:46.702994 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18410,10 +18446,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmp4n9vw_l3" +net: "/tmp/tmppwezmdon" snapshot_after_train: false -I0909 12:04:26.703917 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmp4n9vw_l3 -I0909 12:04:26.704042 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.703814 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmppwezmdon +I0808 08:10:46.704373 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18491,46 +18527,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.704121 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.704133 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.704141 3877644 net.cpp:382] data -> data -I0909 12:04:26.704154 3877644 net.cpp:382] data -> label -I0909 12:04:26.704202 3877644 net.cpp:124] Setting up data -I0909 12:04:26.704231 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.704257 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.704280 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.704301 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.704334 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.704360 3877644 net.cpp:408] conv <- data -I0909 12:04:26.704385 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.704435 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.704471 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.704497 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.704528 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.704558 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.704583 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.704612 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.704751 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.704762 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.704768 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.704777 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.704784 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.704789 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.704795 3877644 net.cpp:408] loss <- label -I0909 12:04:26.704830 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.704861 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.704897 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.704923 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.704946 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.704975 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.704998 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.705021 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.705042 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.705067 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.705091 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.705116 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.705255 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp4n9vw_l3 -I0909 12:04:26.705283 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.704700 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.704849 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.712182 1317858 net.cpp:382] data -> data +I0808 08:10:46.712810 1317858 net.cpp:382] data -> label +I0808 08:10:46.713052 1317858 net.cpp:124] Setting up data +I0808 08:10:46.713315 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.713549 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.713860 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.714023 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.714169 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.714327 1317858 net.cpp:408] conv <- data +I0808 08:10:46.714448 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.714679 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.714828 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.714951 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.715095 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.715282 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.715459 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.715649 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.716078 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.716218 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.716338 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.716496 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.716616 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.716770 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.716881 1317858 net.cpp:408] loss <- label +I0808 08:10:46.717074 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.717221 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.717408 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.717545 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.717700 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.717852 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.718027 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.718194 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.718326 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.718423 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.718519 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.718676 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.719274 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppwezmdon +I0808 08:10:46.719460 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18608,46 +18644,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.705436 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.705456 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.705464 3877644 net.cpp:382] data -> data -I0909 12:04:26.705476 3877644 net.cpp:382] data -> label -I0909 12:04:26.705518 3877644 net.cpp:124] Setting up data -I0909 12:04:26.705544 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.705569 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.705592 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.705613 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.705642 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.705667 3877644 net.cpp:408] conv <- data -I0909 12:04:26.705691 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.705739 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.705773 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.705799 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.705827 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.705857 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.705880 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.705905 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.706060 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.706072 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.706080 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.706089 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.706095 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.706100 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.706105 3877644 net.cpp:408] loss <- label -I0909 12:04:26.706142 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.706173 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.706207 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.706233 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.706254 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.706283 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.706303 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.706326 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.706347 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.706372 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.706391 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.706415 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.706455 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.706598 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.719897 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.720106 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.720232 1317858 net.cpp:382] data -> data +I0808 08:10:46.720430 1317858 net.cpp:382] data -> label +I0808 08:10:46.720584 1317858 net.cpp:124] Setting up data +I0808 08:10:46.720693 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.720870 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.720970 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.721067 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.721221 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.721349 1317858 net.cpp:408] conv <- data +I0808 08:10:46.721486 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.721716 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.722308 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.722437 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.722549 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.722658 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.722795 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.722930 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.723274 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.723384 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.723489 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.723713 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.723821 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.724037 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.724278 1317858 net.cpp:408] loss <- label +I0808 08:10:46.724435 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.724668 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.724831 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.724953 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.725189 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.725577 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.725719 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.725843 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.725996 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.726121 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.726277 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.726400 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.726604 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.727085 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18659,10 +18695,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmp4n9vw_l3" +net: "/tmp/tmppwezmdon" snapshot_after_train: false -I0909 12:04:26.706641 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmp4n9vw_l3 -I0909 12:04:26.706768 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.727348 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmppwezmdon +I0808 08:10:46.727758 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18740,46 +18776,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.706866 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.706883 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.706924 3877644 net.cpp:382] data -> data -I0909 12:04:26.706956 3877644 net.cpp:382] data -> label -I0909 12:04:26.706990 3877644 net.cpp:124] Setting up data -I0909 12:04:26.707015 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.707041 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.707064 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.707085 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.707118 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.707140 3877644 net.cpp:408] conv <- data -I0909 12:04:26.707167 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.707227 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.707239 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.707247 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.707255 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.707264 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.707296 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.707322 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.707500 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.707511 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.707518 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.707526 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.707535 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.707564 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.707587 3877644 net.cpp:408] loss <- label -I0909 12:04:26.707609 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.707640 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.707695 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.707710 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.707716 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.707726 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.707731 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.707741 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.707747 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.707794 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.707823 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.707854 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.708005 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp4n9vw_l3 -I0909 12:04:26.708040 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.728155 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.732152 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.732546 1317858 net.cpp:382] data -> data +I0808 08:10:46.732700 1317858 net.cpp:382] data -> label +I0808 08:10:46.732860 1317858 net.cpp:124] Setting up data +I0808 08:10:46.733054 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.733161 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.733289 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.733405 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.733620 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.733723 1317858 net.cpp:408] conv <- data +I0808 08:10:46.733893 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.734122 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.734280 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.734383 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.734534 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.734710 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.734815 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.734925 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.735291 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.735394 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.735491 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.735592 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.735733 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.735828 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.735929 1317858 net.cpp:408] loss <- label +I0808 08:10:46.736302 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.738237 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.738433 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.738538 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.738639 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.738852 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.738972 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.739116 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.739223 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.739367 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.739473 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.739660 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.740353 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppwezmdon +I0808 08:10:46.740550 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18857,47 +18893,47 @@ bottom: "label" top: "loss" } -I0909 12:04:26.708144 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.708189 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.708225 3877644 net.cpp:382] data -> data -I0909 12:04:26.708269 3877644 net.cpp:382] data -> label -I0909 12:04:26.708305 3877644 net.cpp:124] Setting up data -I0909 12:04:26.708351 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.708365 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.708371 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.708376 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.708387 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.708391 3877644 net.cpp:408] conv <- data -I0909 12:04:26.708396 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.708415 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.708417 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.708420 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.708426 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.708431 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.708434 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.708438 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.708535 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.708539 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.708541 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.708545 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.708555 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.708559 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.708561 3877644 net.cpp:408] loss <- label -I0909 12:04:26.708564 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.708570 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.708578 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.708580 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.708583 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.708590 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.708592 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.708595 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.708598 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.708601 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.708603 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.708608 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.708621 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.709028 3877644 sgd_solver.cpp:112] Iteration 0, lr = 0.01 -.I0909 12:04:26.709587 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.741109 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.744583 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.744923 1317858 net.cpp:382] data -> data +I0808 08:10:46.745056 1317858 net.cpp:382] data -> label +I0808 08:10:46.745206 1317858 net.cpp:124] Setting up data +I0808 08:10:46.745397 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.747301 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.747565 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.747702 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.747848 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.748046 1317858 net.cpp:408] conv <- data +I0808 08:10:46.748221 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.748446 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.749825 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.749975 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.750088 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.751374 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.751516 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.751636 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.752084 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.752372 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.752540 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.752697 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.752827 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.752997 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.753113 1317858 net.cpp:408] loss <- label +I0808 08:10:46.753262 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.753386 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.753599 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.753708 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.753857 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.753994 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.754139 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.754240 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.754359 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.754465 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.754668 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.754778 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.754971 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.756721 1317858 sgd_solver.cpp:112] Iteration 0, lr = 0.01 +.I0808 08:10:46.769061 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -18909,10 +18945,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpf2kfq9ox" +net: "/tmp/tmp6eljj9xx" snapshot_after_train: false -I0909 12:04:26.709618 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpf2kfq9ox -I0909 12:04:26.709694 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.772734 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp6eljj9xx +I0808 08:10:46.773306 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -18990,46 +19026,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.709751 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.709759 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.709764 3877644 net.cpp:382] data -> data -I0909 12:04:26.709771 3877644 net.cpp:382] data -> label -I0909 12:04:26.709782 3877644 net.cpp:124] Setting up data -I0909 12:04:26.709785 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.709789 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.709793 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.709795 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.709801 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.709805 3877644 net.cpp:408] conv <- data -I0909 12:04:26.709810 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.709826 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.709829 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.709833 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.709839 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.709843 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.709846 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.709851 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.709949 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.709950 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.709954 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.709959 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.709962 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.709965 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.709967 3877644 net.cpp:408] loss <- label -I0909 12:04:26.709971 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.709976 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.709985 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.709987 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.709990 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.709996 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.709998 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.710001 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.710004 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.710007 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.710009 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.710014 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.710089 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf2kfq9ox -I0909 12:04:26.710103 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.778949 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.779299 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.779428 1317858 net.cpp:382] data -> data +I0808 08:10:46.779561 1317858 net.cpp:382] data -> label +I0808 08:10:46.779697 1317858 net.cpp:124] Setting up data +I0808 08:10:46.779806 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.779917 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.780215 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.780328 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.780437 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.780535 1317858 net.cpp:408] conv <- data +I0808 08:10:46.780675 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.780882 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.781069 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.781174 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.781302 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.781471 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.781582 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.781728 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.782116 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.782230 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.782335 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.782574 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.782723 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.782841 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.782956 1317858 net.cpp:408] loss <- label +I0808 08:10:46.783090 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.783203 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.783356 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.783463 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.783638 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.783792 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.783928 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.784077 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.784261 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.784372 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.784503 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.784623 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.785089 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp6eljj9xx +I0808 08:10:46.785223 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19107,46 +19143,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.710155 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.710162 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.710166 3877644 net.cpp:382] data -> data -I0909 12:04:26.710172 3877644 net.cpp:382] data -> label -I0909 12:04:26.710179 3877644 net.cpp:124] Setting up data -I0909 12:04:26.710182 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.710186 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.710188 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.710191 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.710199 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.710202 3877644 net.cpp:408] conv <- data -I0909 12:04:26.710207 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.710222 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.710224 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.710227 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.710232 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.710237 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.710239 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.710243 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.710340 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.710343 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.710346 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.710350 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.710354 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.710357 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.710361 3877644 net.cpp:408] loss <- label -I0909 12:04:26.710363 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.710367 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.710376 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.710378 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.710381 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.710386 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.710388 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.710391 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.710393 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.710397 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.710399 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.710403 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.710413 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.710465 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.785501 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.785620 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.785759 1317858 net.cpp:382] data -> data +I0808 08:10:46.785863 1317858 net.cpp:382] data -> label +I0808 08:10:46.786000 1317858 net.cpp:124] Setting up data +I0808 08:10:46.786088 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.786224 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.786319 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.786435 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.786558 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.786686 1317858 net.cpp:408] conv <- data +I0808 08:10:46.786793 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.786968 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.787070 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.787214 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.787323 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.787456 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.787554 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.787683 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.788056 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.788177 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.788326 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.788513 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.788650 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.788882 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.789011 1317858 net.cpp:408] loss <- label +I0808 08:10:46.789180 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.789324 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.789510 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.789623 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.789860 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.790002 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.790208 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.790316 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.790467 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.790608 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.790748 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.790925 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.791113 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.791574 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19158,10 +19194,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpf2kfq9ox" +net: "/tmp/tmp6eljj9xx" snapshot_after_train: false -I0909 12:04:26.710489 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpf2kfq9ox -I0909 12:04:26.710582 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.796115 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp6eljj9xx +I0808 08:10:46.796882 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19239,46 +19275,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.710681 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.710698 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.710706 3877644 net.cpp:382] data -> data -I0909 12:04:26.710718 3877644 net.cpp:382] data -> label -I0909 12:04:26.710736 3877644 net.cpp:124] Setting up data -I0909 12:04:26.710743 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.710750 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.710757 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.710769 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.710780 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.710785 3877644 net.cpp:408] conv <- data -I0909 12:04:26.710794 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.710822 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.710831 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.710837 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.710848 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.710858 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.710863 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.710871 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.710987 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.710996 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.711002 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.711010 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.711017 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.711022 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.711064 3877644 net.cpp:408] loss <- label -I0909 12:04:26.711091 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.711122 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.711154 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.711180 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.711205 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.711231 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.711253 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.711275 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.711297 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.711319 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.711340 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.711364 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.711498 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpf2kfq9ox -I0909 12:04:26.711527 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.797338 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.797488 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.797752 1317858 net.cpp:382] data -> data +I0808 08:10:46.797931 1317858 net.cpp:382] data -> label +I0808 08:10:46.798086 1317858 net.cpp:124] Setting up data +I0808 08:10:46.798218 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.798403 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.798527 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.798729 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.799023 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.799270 1317858 net.cpp:408] conv <- data +I0808 08:10:46.799515 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.799814 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.800107 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.800320 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.800506 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.800766 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.800988 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.801400 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.801883 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.802074 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.802263 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.802534 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.802683 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.802857 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.803012 1317858 net.cpp:408] loss <- label +I0808 08:10:46.803282 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.803575 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.803795 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.804030 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.804215 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.804558 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.804754 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.804986 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.805160 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.805441 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.805642 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.809818 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.810911 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp6eljj9xx +I0808 08:10:46.811131 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19356,46 +19392,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.711664 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.711714 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.711742 3877644 net.cpp:382] data -> data -I0909 12:04:26.711761 3877644 net.cpp:382] data -> label -I0909 12:04:26.711774 3877644 net.cpp:124] Setting up data -I0909 12:04:26.711779 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.711786 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.711791 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.711795 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.711807 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.711812 3877644 net.cpp:408] conv <- data -I0909 12:04:26.711844 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.711890 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.711925 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.711939 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.711951 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.711962 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.711967 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.711975 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.712133 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.712144 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.712152 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.712159 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.712167 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.712172 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.712178 3877644 net.cpp:408] loss <- label -I0909 12:04:26.712214 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.712245 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.712280 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.712303 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.712325 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.712339 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.712343 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.712349 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.712354 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.712359 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.712363 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.712370 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.712393 3877644 solver.cpp:57] Solver scaffolding done. -.I0909 12:04:26.713820 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.811757 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.811911 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.812072 1317858 net.cpp:382] data -> data +I0808 08:10:46.812206 1317858 net.cpp:382] data -> label +I0808 08:10:46.812486 1317858 net.cpp:124] Setting up data +I0808 08:10:46.812769 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.812928 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.813095 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.813309 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.813570 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.813678 1317858 net.cpp:408] conv <- data +I0808 08:10:46.813791 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.813959 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.814057 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.814180 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.814285 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.814409 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.814505 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.814630 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.814942 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.815047 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.815155 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.815340 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.815486 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.815605 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.815703 1317858 net.cpp:408] loss <- label +I0808 08:10:46.815804 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.815948 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.816205 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.816314 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.816449 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.816591 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.816709 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.816819 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.816964 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.817056 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.817198 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.817291 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.817481 1317858 solver.cpp:57] Solver scaffolding done. +.I0808 08:10:46.836863 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19407,10 +19443,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmppp9tuuor" +net: "/tmp/tmp1d8nrwfj" snapshot_after_train: false -I0909 12:04:26.713860 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmppp9tuuor -I0909 12:04:26.713984 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.837380 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp1d8nrwfj +I0808 08:10:46.837812 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19488,46 +19524,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.714063 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.714076 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.714118 3877644 net.cpp:382] data -> data -I0909 12:04:26.714154 3877644 net.cpp:382] data -> label -I0909 12:04:26.714191 3877644 net.cpp:124] Setting up data -I0909 12:04:26.714219 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.714231 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.714236 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.714241 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.714254 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.714259 3877644 net.cpp:408] conv <- data -I0909 12:04:26.714268 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.714298 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.714346 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.714373 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.714401 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.714430 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.714455 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.714468 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.714636 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.714648 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.714655 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.714663 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.714672 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.714676 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.714682 3877644 net.cpp:408] loss <- label -I0909 12:04:26.714690 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.714731 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.714769 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.714792 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.714816 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.714844 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.714869 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.714892 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.714900 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.714906 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.714911 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.714920 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.715054 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppp9tuuor -I0909 12:04:26.715085 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.838176 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.838291 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.838407 1317858 net.cpp:382] data -> data +I0808 08:10:46.838557 1317858 net.cpp:382] data -> label +I0808 08:10:46.838666 1317858 net.cpp:124] Setting up data +I0808 08:10:46.838794 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.838907 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.839010 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.839138 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.839332 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.839579 1317858 net.cpp:408] conv <- data +I0808 08:10:46.839713 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.839941 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.840081 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.840333 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.840499 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.840668 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.844125 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.844560 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.845229 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.845342 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.845461 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.845610 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.845775 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.845893 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.846114 1317858 net.cpp:408] loss <- label +I0808 08:10:46.846254 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.846444 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.846849 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.847107 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.847438 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.847602 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.847734 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.848003 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.848169 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.852067 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.852324 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.852422 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.852887 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1d8nrwfj +I0808 08:10:46.853017 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19605,46 +19641,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.715191 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.715235 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.715265 3877644 net.cpp:382] data -> data -I0909 12:04:26.715298 3877644 net.cpp:382] data -> label -I0909 12:04:26.715348 3877644 net.cpp:124] Setting up data -I0909 12:04:26.715361 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.715368 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.715374 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.715421 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.715456 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.715482 3877644 net.cpp:408] conv <- data -I0909 12:04:26.715509 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.715556 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.715585 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.715611 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.715641 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.715668 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.715692 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.715730 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.715909 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.715924 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.715930 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.715939 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.715947 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.715953 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.715991 3877644 net.cpp:408] loss <- label -I0909 12:04:26.716017 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.716034 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.716049 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.716054 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.716059 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.716069 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.716074 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.716079 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.716107 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.716133 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.716154 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.716178 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.716218 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.716332 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.853421 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.853582 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.853689 1317858 net.cpp:382] data -> data +I0808 08:10:46.853840 1317858 net.cpp:382] data -> label +I0808 08:10:46.853974 1317858 net.cpp:124] Setting up data +I0808 08:10:46.854189 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.854408 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.854540 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.860149 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.860570 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.860710 1317858 net.cpp:408] conv <- data +I0808 08:10:46.860916 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.861194 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.861346 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.861481 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.861658 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.861806 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.861985 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.862120 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.862546 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.867362 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.867744 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.867906 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.868187 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.868352 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.868477 1317858 net.cpp:408] loss <- label +I0808 08:10:46.868602 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.868775 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.868960 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.869088 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.869232 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.869459 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.869588 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.869774 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.869900 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.870038 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.870144 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.870290 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.870553 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.870954 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19656,10 +19692,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmppp9tuuor" +net: "/tmp/tmp1d8nrwfj" snapshot_after_train: false -I0909 12:04:26.716377 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmppp9tuuor -I0909 12:04:26.716497 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.871196 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmp1d8nrwfj +I0808 08:10:46.871647 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19737,46 +19773,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.716593 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.716636 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.716666 3877644 net.cpp:382] data -> data -I0909 12:04:26.716697 3877644 net.cpp:382] data -> label -I0909 12:04:26.716732 3877644 net.cpp:124] Setting up data -I0909 12:04:26.716764 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.716784 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.716789 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.716794 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.716809 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.716813 3877644 net.cpp:408] conv <- data -I0909 12:04:26.716822 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.716850 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.716856 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.716867 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.716876 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.716884 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.716888 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.716894 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.717038 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.717042 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.717046 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.717051 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.717056 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.717058 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.717061 3877644 net.cpp:408] loss <- label -I0909 12:04:26.717065 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.717072 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.717079 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.717082 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.717084 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.717092 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.717094 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.717097 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.717099 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.717103 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.717105 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.717109 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.717201 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmppp9tuuor -I0909 12:04:26.717216 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.872040 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.872188 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.872311 1317858 net.cpp:382] data -> data +I0808 08:10:46.872486 1317858 net.cpp:382] data -> label +I0808 08:10:46.872640 1317858 net.cpp:124] Setting up data +I0808 08:10:46.872820 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.872970 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.873162 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.873306 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.873651 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.873946 1317858 net.cpp:408] conv <- data +I0808 08:10:46.874145 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.874483 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.874725 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.874869 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.874994 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.875102 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.875227 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.875352 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.875741 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.875861 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.875999 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.876116 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.876242 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.876345 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.876484 1317858 net.cpp:408] loss <- label +I0808 08:10:46.880175 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.880651 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.881228 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.881359 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.881489 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.881700 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.881839 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.881997 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.882122 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.882277 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.882390 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.882561 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.883165 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmp1d8nrwfj +I0808 08:10:46.883338 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19854,48 +19890,48 @@ bottom: "label" top: "loss" } -I0909 12:04:26.717273 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.717279 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.717283 3877644 net.cpp:382] data -> data -I0909 12:04:26.717289 3877644 net.cpp:382] data -> label -I0909 12:04:26.717296 3877644 net.cpp:124] Setting up data -I0909 12:04:26.717299 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.717303 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.717306 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.717308 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.717314 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.717316 3877644 net.cpp:408] conv <- data -I0909 12:04:26.717321 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.717334 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.717337 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.717340 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.717345 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.717350 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.717352 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.717356 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.717453 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.717456 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.717460 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.717464 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.717468 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.717471 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.717474 3877644 net.cpp:408] loss <- label -I0909 12:04:26.717478 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.717482 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.717490 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.717499 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.717501 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.717506 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.717509 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.717512 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.717515 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.717518 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.717521 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.717525 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.717535 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.717885 3877644 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel -I0909 12:04:26.718137 3877644 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate -.I0909 12:04:26.718924 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.885497 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.885687 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.885800 1317858 net.cpp:382] data -> data +I0808 08:10:46.885931 1317858 net.cpp:382] data -> label +I0808 08:10:46.886108 1317858 net.cpp:124] Setting up data +I0808 08:10:46.886214 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.886355 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.886454 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.886580 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.886698 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.886842 1317858 net.cpp:408] conv <- data +I0808 08:10:46.886970 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.887168 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.887287 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.887529 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.887848 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.888105 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.888496 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.888779 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.889467 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.896139 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.896778 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.896914 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.897044 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.897221 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.897341 1317858 net.cpp:408] loss <- label +I0808 08:10:46.897501 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.897720 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.897878 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.898062 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.898229 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.898406 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.898528 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.898643 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.898797 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.898921 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.899075 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.899202 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.899432 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.900919 1317858 solver.cpp:464] Snapshotting to binary proto file model_iter_0.caffemodel +I0808 08:10:46.901957 1317858 sgd_solver.cpp:284] Snapshotting solver state to binary proto file model_iter_0.solverstate +.I0808 08:10:46.904192 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -19907,10 +19943,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpcz_rw1py" +net: "/tmp/tmpd58pslid" snapshot_after_train: false -I0909 12:04:26.718966 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpcz_rw1py -I0909 12:04:26.719087 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.912151 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmpd58pslid +I0808 08:10:46.914361 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -19988,46 +20024,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.719169 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.719218 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.719249 3877644 net.cpp:382] data -> data -I0909 12:04:26.719281 3877644 net.cpp:382] data -> label -I0909 12:04:26.719316 3877644 net.cpp:124] Setting up data -I0909 12:04:26.719341 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.719367 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.719389 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.719410 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.719440 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.719465 3877644 net.cpp:408] conv <- data -I0909 12:04:26.719491 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.719542 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.719578 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.719617 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.719650 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.719666 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.719671 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.719681 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.719843 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.719858 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.719863 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.719873 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.719882 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.719920 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.719944 3877644 net.cpp:408] loss <- label -I0909 12:04:26.719970 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.720000 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.720036 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.720062 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.720086 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.720116 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.720140 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.720162 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.720183 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.720206 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.720227 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.720253 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.720404 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpcz_rw1py -I0909 12:04:26.720435 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.917506 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.924120 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.924446 1317858 net.cpp:382] data -> data +I0808 08:10:46.924582 1317858 net.cpp:382] data -> label +I0808 08:10:46.924701 1317858 net.cpp:124] Setting up data +I0808 08:10:46.924801 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.925535 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.925691 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.925839 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.926075 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.926259 1317858 net.cpp:408] conv <- data +I0808 08:10:46.926735 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.926985 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.927100 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.927227 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.927367 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.927496 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.927806 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.927937 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.928426 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.928542 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.928643 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.928751 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.928856 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.929001 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.929144 1317858 net.cpp:408] loss <- label +I0808 08:10:46.929257 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.929404 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.929560 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.929661 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.929764 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.929919 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.930022 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.930150 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.930274 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.930402 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.930502 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.930639 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.931141 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpd58pslid +I0808 08:10:46.931317 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20105,46 +20141,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.720541 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.720585 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.720618 3877644 net.cpp:382] data -> data -I0909 12:04:26.720649 3877644 net.cpp:382] data -> label -I0909 12:04:26.720687 3877644 net.cpp:124] Setting up data -I0909 12:04:26.720718 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.720758 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.720781 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.720791 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.720806 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.720813 3877644 net.cpp:408] conv <- data -I0909 12:04:26.720821 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.720851 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.720857 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.720863 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.720875 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.720906 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.720929 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.720954 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.721100 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.721112 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.721119 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.721127 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.721135 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.721140 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.721145 3877644 net.cpp:408] loss <- label -I0909 12:04:26.721153 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.721161 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.721176 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.721210 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.721233 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.721261 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.721282 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.721304 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.721326 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.721349 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.721371 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.721395 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.721431 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.721551 3877644 solver.cpp:45] Initializing solver from parameters: +I0808 08:10:46.931740 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.931872 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.932029 1317858 net.cpp:382] data -> data +I0808 08:10:46.932210 1317858 net.cpp:382] data -> label +I0808 08:10:46.932348 1317858 net.cpp:124] Setting up data +I0808 08:10:46.932499 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.932618 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.932736 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.932883 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.933044 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.933166 1317858 net.cpp:408] conv <- data +I0808 08:10:46.933323 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.933475 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.933668 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.933786 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.933920 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.934022 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.934232 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.934350 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.934717 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.934827 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.934931 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.935040 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.935175 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.935281 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.935410 1317858 net.cpp:408] loss <- label +I0808 08:10:46.935514 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.935664 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.935814 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.935922 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.936064 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.936266 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.936393 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.936559 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.936666 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.936830 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.936954 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.937110 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.937278 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.937815 1317858 solver.cpp:45] Initializing solver from parameters: test_iter: 10 test_interval: 10 base_lr: 0.01 @@ -20156,10 +20192,10 @@ momentum: 0.9 weight_decay: 0.0005 snapshot_prefix: "model" -net: "/tmp/tmpcz_rw1py" +net: "/tmp/tmpd58pslid" snapshot_after_train: false -I0909 12:04:26.721589 3877644 solver.cpp:102] Creating training net from net file: /tmp/tmpcz_rw1py -I0909 12:04:26.721711 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.938129 1317858 solver.cpp:102] Creating training net from net file: /tmp/tmpd58pslid +I0808 08:10:46.938552 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20237,46 +20273,46 @@ bottom: "label" top: "loss" } -I0909 12:04:26.721796 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.721838 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.721869 3877644 net.cpp:382] data -> data -I0909 12:04:26.721900 3877644 net.cpp:382] data -> label -I0909 12:04:26.721920 3877644 net.cpp:124] Setting up data -I0909 12:04:26.721925 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.721931 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.721936 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.721941 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.721951 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.721956 3877644 net.cpp:408] conv <- data -I0909 12:04:26.721964 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.722014 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.722052 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.722090 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.722107 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.722118 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.722123 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.722131 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.722294 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.722307 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.722313 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.722322 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.722330 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.722373 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.722399 3877644 net.cpp:408] loss <- label -I0909 12:04:26.722426 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.722453 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.722486 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.722508 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.722532 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.722585 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.722615 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.722638 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.722661 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.722683 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.722703 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.722714 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.722859 3877644 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpcz_rw1py -I0909 12:04:26.722890 3877644 net.cpp:53] Initializing net from parameters: +I0808 08:10:46.943142 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.943591 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.944131 1317858 net.cpp:382] data -> data +I0808 08:10:46.944304 1317858 net.cpp:382] data -> label +I0808 08:10:46.944523 1317858 net.cpp:124] Setting up data +I0808 08:10:46.944723 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.944840 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.944989 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.945104 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.945257 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.945358 1317858 net.cpp:408] conv <- data +I0808 08:10:46.945506 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.945662 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.946377 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.946518 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.946641 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.946751 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.946851 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.946996 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.947394 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.947525 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.947652 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.947773 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.947932 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.948091 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.948251 1317858 net.cpp:408] loss <- label +I0808 08:10:46.948427 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.948583 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.948734 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.948909 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.949044 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.949232 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.949352 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.949506 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.949623 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.949759 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.949851 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.949988 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.950484 1317858 solver.cpp:190] Creating test net (#0) specified by net file: /tmp/tmpd58pslid +I0808 08:10:46.950647 1317858 net.cpp:53] Initializing net from parameters: name: "testnet" force_backward: true state { @@ -20354,77 +20390,77 @@ bottom: "label" top: "loss" } -I0909 12:04:26.722994 3877644 layer_factory.hpp:77] Creating layer data -I0909 12:04:26.723042 3877644 net.cpp:86] Creating Layer data -I0909 12:04:26.723073 3877644 net.cpp:382] data -> data -I0909 12:04:26.723105 3877644 net.cpp:382] data -> label -I0909 12:04:26.723141 3877644 net.cpp:124] Setting up data -I0909 12:04:26.723172 3877644 net.cpp:131] Top shape: 5 2 3 4 (120) -I0909 12:04:26.723210 3877644 net.cpp:131] Top shape: 5 1 1 1 (5) -I0909 12:04:26.723235 3877644 net.cpp:139] Memory required for data: 500 -I0909 12:04:26.723258 3877644 layer_factory.hpp:77] Creating layer conv -I0909 12:04:26.723278 3877644 net.cpp:86] Creating Layer conv -I0909 12:04:26.723284 3877644 net.cpp:408] conv <- data -I0909 12:04:26.723292 3877644 net.cpp:382] conv -> conv -I0909 12:04:26.723322 3877644 net.cpp:124] Setting up conv -I0909 12:04:26.723328 3877644 net.cpp:131] Top shape: 5 11 8 9 (3960) -I0909 12:04:26.723335 3877644 net.cpp:139] Memory required for data: 16340 -I0909 12:04:26.723344 3877644 layer_factory.hpp:77] Creating layer ip -I0909 12:04:26.723353 3877644 net.cpp:86] Creating Layer ip -I0909 12:04:26.723380 3877644 net.cpp:408] ip <- conv -I0909 12:04:26.723407 3877644 net.cpp:382] ip -> ip_blob -I0909 12:04:26.723577 3877644 net.cpp:124] Setting up ip -I0909 12:04:26.723589 3877644 net.cpp:131] Top shape: 5 13 (65) -I0909 12:04:26.723595 3877644 net.cpp:139] Memory required for data: 16600 -I0909 12:04:26.723604 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.723613 3877644 net.cpp:86] Creating Layer loss -I0909 12:04:26.723616 3877644 net.cpp:408] loss <- ip_blob -I0909 12:04:26.723623 3877644 net.cpp:408] loss <- label -I0909 12:04:26.723629 3877644 net.cpp:382] loss -> loss -I0909 12:04:26.723664 3877644 layer_factory.hpp:77] Creating layer loss -I0909 12:04:26.723699 3877644 net.cpp:124] Setting up loss -I0909 12:04:26.723739 3877644 net.cpp:131] Top shape: (1) -I0909 12:04:26.723766 3877644 net.cpp:134] with loss weight 1 -I0909 12:04:26.723794 3877644 net.cpp:139] Memory required for data: 16604 -I0909 12:04:26.723816 3877644 net.cpp:200] loss needs backward computation. -I0909 12:04:26.723839 3877644 net.cpp:200] ip needs backward computation. -I0909 12:04:26.723862 3877644 net.cpp:200] conv needs backward computation. -I0909 12:04:26.723884 3877644 net.cpp:202] data does not need backward computation. -I0909 12:04:26.723905 3877644 net.cpp:244] This network produces output loss -I0909 12:04:26.723930 3877644 net.cpp:257] Network initialization done. -I0909 12:04:26.723970 3877644 solver.cpp:57] Solver scaffolding done. -I0909 12:04:26.724432 3877644 solver.cpp:289] Solving testnet -I0909 12:04:26.724448 3877644 solver.cpp:290] Learning Rate Policy: inv -I0909 12:04:26.724472 3877644 solver.cpp:347] Iteration 0, Testing net (#0) -I0909 12:04:26.725430 3877644 solver.cpp:414] Test net output #0: loss = 77.1126 (* 1 = 77.1126 loss) -I0909 12:04:26.725993 3877644 solver.cpp:239] Iteration 0 (-1.76665e+25 iter/s, 0.001s/100 iters), loss = 69.8692 -I0909 12:04:26.726017 3877644 solver.cpp:258] Train net output #0: loss = 69.8692 (* 1 = 69.8692 loss) -I0909 12:04:26.726025 3877644 sgd_solver.cpp:112] Iteration 0, lr = 0.01 -I0909 12:04:26.730386 3877644 solver.cpp:347] Iteration 10, Testing net (#0) -I0909 12:04:26.731359 3877644 solver.cpp:414] Test net output #0: loss = 65.3121 (* 1 = 65.3121 loss) -I0909 12:04:26.735700 3877644 solver.cpp:347] Iteration 20, Testing net (#0) -I0909 12:04:26.736649 3877644 solver.cpp:414] Test net output #0: loss = 68.6185 (* 1 = 68.6185 loss) -I0909 12:04:26.740022 3877644 solver.cpp:347] Iteration 30, Testing net (#0) -I0909 12:04:26.740998 3877644 solver.cpp:414] Test net output #0: loss = 81.5494 (* 1 = 81.5494 loss) -I0909 12:04:26.744938 3877644 solver.cpp:347] Iteration 40, Testing net (#0) -I0909 12:04:26.745880 3877644 solver.cpp:414] Test net output #0: loss = 75.8734 (* 1 = 75.8734 loss) -I0909 12:04:26.750110 3877644 solver.cpp:347] Iteration 50, Testing net (#0) -I0909 12:04:26.751068 3877644 solver.cpp:414] Test net output #0: loss = 72.8589 (* 1 = 72.8589 loss) -I0909 12:04:26.754539 3877644 solver.cpp:347] Iteration 60, Testing net (#0) -I0909 12:04:26.755491 3877644 solver.cpp:414] Test net output #0: loss = 72.5731 (* 1 = 72.5731 loss) -I0909 12:04:26.759605 3877644 solver.cpp:347] Iteration 70, Testing net (#0) -I0909 12:04:26.760558 3877644 solver.cpp:414] Test net output #0: loss = 77.5516 (* 1 = 77.5516 loss) -I0909 12:04:26.764357 3877644 solver.cpp:347] Iteration 80, Testing net (#0) -I0909 12:04:26.765301 3877644 solver.cpp:414] Test net output #0: loss = 69.3262 (* 1 = 69.3262 loss) -I0909 12:04:26.769481 3877644 solver.cpp:347] Iteration 90, Testing net (#0) -I0909 12:04:26.770424 3877644 solver.cpp:414] Test net output #0: loss = 78.6847 (* 1 = 78.6847 loss) -I0909 12:04:26.775178 3877644 solver.cpp:327] Iteration 100, loss = 52.1721 -I0909 12:04:26.775195 3877644 solver.cpp:347] Iteration 100, Testing net (#0) -I0909 12:04:26.776131 3877644 solver.cpp:414] Test net output #0: loss = 71.4565 (* 1 = 71.4565 loss) -I0909 12:04:26.776144 3877644 solver.cpp:332] Optimization Done. +I0808 08:10:46.956252 1317858 layer_factory.hpp:77] Creating layer data +I0808 08:10:46.956555 1317858 net.cpp:86] Creating Layer data +I0808 08:10:46.956688 1317858 net.cpp:382] data -> data +I0808 08:10:46.956821 1317858 net.cpp:382] data -> label +I0808 08:10:46.957026 1317858 net.cpp:124] Setting up data +I0808 08:10:46.957135 1317858 net.cpp:131] Top shape: 5 2 3 4 (120) +I0808 08:10:46.957244 1317858 net.cpp:131] Top shape: 5 1 1 1 (5) +I0808 08:10:46.957346 1317858 net.cpp:139] Memory required for data: 500 +I0808 08:10:46.957486 1317858 layer_factory.hpp:77] Creating layer conv +I0808 08:10:46.957625 1317858 net.cpp:86] Creating Layer conv +I0808 08:10:46.961865 1317858 net.cpp:408] conv <- data +I0808 08:10:46.961966 1317858 net.cpp:382] conv -> conv +I0808 08:10:46.962051 1317858 net.cpp:124] Setting up conv +I0808 08:10:46.962059 1317858 net.cpp:131] Top shape: 5 11 8 9 (3960) +I0808 08:10:46.962070 1317858 net.cpp:139] Memory required for data: 16340 +I0808 08:10:46.962090 1317858 layer_factory.hpp:77] Creating layer ip +I0808 08:10:46.962107 1317858 net.cpp:86] Creating Layer ip +I0808 08:10:46.962113 1317858 net.cpp:408] ip <- conv +I0808 08:10:46.962123 1317858 net.cpp:382] ip -> ip_blob +I0808 08:10:46.962329 1317858 net.cpp:124] Setting up ip +I0808 08:10:46.962337 1317858 net.cpp:131] Top shape: 5 13 (65) +I0808 08:10:46.962343 1317858 net.cpp:139] Memory required for data: 16600 +I0808 08:10:46.962354 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.962366 1317858 net.cpp:86] Creating Layer loss +I0808 08:10:46.962373 1317858 net.cpp:408] loss <- ip_blob +I0808 08:10:46.962379 1317858 net.cpp:408] loss <- label +I0808 08:10:46.962388 1317858 net.cpp:382] loss -> loss +I0808 08:10:46.962404 1317858 layer_factory.hpp:77] Creating layer loss +I0808 08:10:46.962428 1317858 net.cpp:124] Setting up loss +I0808 08:10:46.962435 1317858 net.cpp:131] Top shape: (1) +I0808 08:10:46.962442 1317858 net.cpp:134] with loss weight 1 +I0808 08:10:46.962486 1317858 net.cpp:139] Memory required for data: 16604 +I0808 08:10:46.962492 1317858 net.cpp:200] loss needs backward computation. +I0808 08:10:46.962498 1317858 net.cpp:200] ip needs backward computation. +I0808 08:10:46.962504 1317858 net.cpp:200] conv needs backward computation. +I0808 08:10:46.962512 1317858 net.cpp:202] data does not need backward computation. +I0808 08:10:46.962519 1317858 net.cpp:244] This network produces output loss +I0808 08:10:46.962529 1317858 net.cpp:257] Network initialization done. +I0808 08:10:46.962584 1317858 solver.cpp:57] Solver scaffolding done. +I0808 08:10:46.963827 1317858 solver.cpp:289] Solving testnet +I0808 08:10:46.963840 1317858 solver.cpp:290] Learning Rate Policy: inv +I0808 08:10:46.963881 1317858 solver.cpp:347] Iteration 0, Testing net (#0) +I0808 08:10:46.967686 1317858 solver.cpp:414] Test net output #0: loss = 73.5282 (* 1 = 73.5282 loss) +I0808 08:10:46.973183 1317858 solver.cpp:239] Iteration 0 (-1.45157e-34 iter/s, 0.009s/100 iters), loss = 72.0596 +I0808 08:10:46.973299 1317858 solver.cpp:258] Train net output #0: loss = 72.0596 (* 1 = 72.0596 loss) +I0808 08:10:46.973321 1317858 sgd_solver.cpp:112] Iteration 0, lr = 0.01 +I0808 08:10:47.031577 1317858 solver.cpp:347] Iteration 10, Testing net (#0) +I0808 08:10:47.039127 1317858 solver.cpp:414] Test net output #0: loss = 73.873 (* 1 = 73.873 loss) +I0808 08:10:47.095194 1317858 solver.cpp:347] Iteration 20, Testing net (#0) +I0808 08:10:47.102545 1317858 solver.cpp:414] Test net output #0: loss = 74.9418 (* 1 = 74.9418 loss) +I0808 08:10:47.139820 1317858 solver.cpp:347] Iteration 30, Testing net (#0) +I0808 08:10:47.151312 1317858 solver.cpp:414] Test net output #0: loss = 70.0497 (* 1 = 70.0497 loss) +I0808 08:10:47.199308 1317858 solver.cpp:347] Iteration 40, Testing net (#0) +I0808 08:10:47.206256 1317858 solver.cpp:414] Test net output #0: loss = 79.697 (* 1 = 79.697 loss) +I0808 08:10:47.279420 1317858 solver.cpp:347] Iteration 50, Testing net (#0) +I0808 08:10:47.290215 1317858 solver.cpp:414] Test net output #0: loss = 81.3003 (* 1 = 81.3003 loss) +I0808 08:10:47.343075 1317858 solver.cpp:347] Iteration 60, Testing net (#0) +I0808 08:10:47.350183 1317858 solver.cpp:414] Test net output #0: loss = 69.8151 (* 1 = 69.8151 loss) +I0808 08:10:47.386626 1317858 solver.cpp:347] Iteration 70, Testing net (#0) +I0808 08:10:47.394340 1317858 solver.cpp:414] Test net output #0: loss = 78.1213 (* 1 = 78.1213 loss) +I0808 08:10:47.469439 1317858 solver.cpp:347] Iteration 80, Testing net (#0) +I0808 08:10:47.473012 1317858 solver.cpp:414] Test net output #0: loss = 73.1216 (* 1 = 73.1216 loss) +I0808 08:10:47.515898 1317858 solver.cpp:347] Iteration 90, Testing net (#0) +I0808 08:10:47.526496 1317858 solver.cpp:414] Test net output #0: loss = 76.5499 (* 1 = 76.5499 loss) +I0808 08:10:47.613478 1317858 solver.cpp:327] Iteration 100, loss = 74.1251 +I0808 08:10:47.613898 1317858 solver.cpp:347] Iteration 100, Testing net (#0) +I0808 08:10:47.616099 1317858 solver.cpp:414] Test net output #0: loss = 76.7997 (* 1 = 76.7997 loss) +I0808 08:10:47.624107 1317858 solver.cpp:332] Optimization Done. . ---------------------------------------------------------------------- -Ran 52 tests in 11.007s +Ran 52 tests in 67.978s OK make[5]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -20442,7 +20478,7 @@ debian/rules override_dh_auto_install-arch make[1]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997' dh_auto_install --builddirectory="caffe_cpu_build" -- install - cd caffe_cpu_build && make -j42 install DESTDIR=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install + cd caffe_cpu_build && make -j20 install DESTDIR=/build/reproducible-path/caffe-1.0.0\+git20180821.99bd997/debian/tmp AM_UPDATE_INFO_DIR=no "INSTALL=install --strip-program=true" install make[2]: Entering directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' /usr/bin/cmake -S/build/reproducible-path/caffe-1.0.0+git20180821.99bd997 -B/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build --check-build-system CMakeFiles/Makefile.cmake 0 make -f CMakeFiles/Makefile2 preinstall @@ -20456,118 +20492,118 @@ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets.cmake -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/share/Caffe/CaffeTargets-release.cmake -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/solver_factory.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/blob.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/format.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/gpu_util.cuh --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/signal_handler.h --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/math_functions.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/device_alternate.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/benchmark.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/upgrade_proto.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/blocking_queue.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_lmdb.hpp --- Installing: 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/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/embed_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/exp_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/lstm_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/parameter_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/contrastive_loss_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/dummy_data_layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/pooling_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/power_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hinge_loss_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/filter_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/memory_data_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/concat_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/deconv_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/threshold_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hdf5_data_layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/bnll_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/rnn_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/reduction_layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/accuracy_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/softmax_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hdf5_output_layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_pooling_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/softmax_loss_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/image_data_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_relu_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/data_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_reindex_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/inner_product_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/scale_layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/euclidean_loss_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/deconv_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/parameter_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/mvn_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/lrn_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/python_layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/spp_layer.hpp --- 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/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_conv_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/batch_norm_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/concat_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/im2col_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/dummy_data_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/loss_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/relu_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/infogain_loss_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/base_conv_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/conv_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/prelu_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/argmax_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_lcn_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/hdf5_output_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/split_layer.hpp --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/internal_thread.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/cudnn_relu_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layers/lrn_layer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/mkl_alternate.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/gpu_util.cuh +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/nccl.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/benchmark.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/blocking_queue.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/io.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/insert_splits.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/device_alternate.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_lmdb.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/cudnn.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/hdf5.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/math_functions.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/format.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/signal_handler.h +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/rng.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/db_leveldb.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/upgrade_proto.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/util/im2col.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_gradient_check_util.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/test/test_caffe_main.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/sgd_solvers.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/data_transformer.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/net.hpp +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/layer.hpp -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/include/caffe/proto/caffe.pb.h -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffe.so.1.0.0 -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/x86_64-linux-gnu/libcaffe.so @@ -20591,21 +20627,21 @@ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/requirements.txt -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/python/train.py -- Up-to-date: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/classifier.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__init__.py --- Up-to-date: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/coord_map.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/detector.py --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/__pycache__ -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/imagenet/ilsvrc_2012_mean.npy --- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/pycaffe.py +-- Up-to-date: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__pycache__ +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/__init__.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/proto/caffe_pb2.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/io.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/net_spec.py +-- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/draw.py -- Installing: /build/reproducible-path/caffe-1.0.0+git20180821.99bd997/debian/tmp/usr/lib/python3/dist-packages/caffe/_caffe.so make[2]: Nothing to be done for 'install'. make[2]: Leaving directory '/build/reproducible-path/caffe-1.0.0+git20180821.99bd997/caffe_cpu_build' @@ -20654,26 +20690,26 @@ dh_shlibdeps -a -O-Scmake dh_installdeb -O-Scmake dh_gencontrol -O-Scmake -dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined -dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package libcaffe1: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Provides} unused, but is defined dpkg-gencontrol: warning: package python3-caffe: substitution variable ${python3:Versions} unused, but is defined +dpkg-gencontrol: warning: package libcaffe-dev: substitution variable ${python3:Depends} unused, but is defined dpkg-gencontrol: warning: package caffe: substitution variable ${python3:Depends} unused, but is defined +dpkg-gencontrol: warning: package caffe-doc: substitution variable ${python3:Depends} unused, but is defined dh_md5sums -O-Scmake dh_builddeb -O-Scmake -dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. -dpkg-deb: building package 'caffe' in '../caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. -dpkg-deb: building package 'libcaffe1' in '../libcaffe1_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-deb: building package 'libcaffe1-dbgsym' in '../libcaffe1-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. -dpkg-deb: building package 'libcaffe-dev' in '../libcaffe-dev_1.0.0+git20180821.99bd997-8_amd64.deb'. +dpkg-deb: building package '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 'python3-caffe' in '../python3-caffe_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 'caffe-doc' in '../caffe-doc_1.0.0+git20180821.99bd997-8_all.deb'. +dpkg-deb: building package 'caffe-dbgsym' in '../caffe-dbgsym_1.0.0+git20180821.99bd997-8_amd64.deb'. +dpkg-deb: building package 'python3-caffe' in '../python3-caffe_1.0.0+git20180821.99bd997-8_amd64.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../caffe_1.0.0+git20180821.99bd997-8_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) @@ -20681,12 +20717,14 @@ 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/1045749/tmp/hooks/B01_cleanup starting +I: user script /srv/workspace/pbuilder/1045749/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/3823469 and its subdirectories -I: Current time: Tue Sep 9 12:05:21 -12 2025 -I: pbuilder-time-stamp: 1757462721 +I: removing directory /srv/workspace/pbuilder/1045749 and its subdirectories +I: Current time: Thu Aug 8 08:24:19 +14 2024 +I: pbuilder-time-stamp: 1723055059