RUN: /usr/share/launchpad-buildd/slavebin/slave-prep Forking launchpad-buildd slave process... Kernel version: Linux lcy01-amd64-008 4.4.0-98-generic #121-Ubuntu SMP Tue Oct 10 14:24:03 UTC 2017 x86_64 Buildd toolchain package versions: launchpad-buildd_154 python-lpbuildd_154 sbuild_0.67.0-2ubuntu7.1 bzr-builder_0.7.3+bzr174~ppa13~ubuntu14.10.1 bzr_2.7.0-2ubuntu3.1 git-build-recipe_0.3.4~git201611291343.dcee459~ubuntu16.04.1 git_1:2.7.4-0ubuntu1.3 dpkg-dev_1.18.4ubuntu1.2 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 4 Nov 12:19:57 ntpdate[1804]: adjust time server 10.211.37.1 offset 0.001547 sec RUN: /usr/share/launchpad-buildd/slavebin/in-target unpack-chroot --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 /home/buildd/filecache-default/b6762bcd0bec7d108ffb0fb3fb0b7d1ce32df8bb Creating target for build PACKAGEBUILD-13663725 RUN: /usr/share/launchpad-buildd/slavebin/in-target mount-chroot --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 Starting target for build PACKAGEBUILD-13663725 RUN: /usr/share/launchpad-buildd/slavebin/in-target override-sources-list --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 'deb http://ftpmaster.internal/ubuntu bionic main universe' 'deb http://ftpmaster.internal/ubuntu bionic-security main universe' 'deb http://ftpmaster.internal/ubuntu bionic-updates main universe' 'deb http://ftpmaster.internal/ubuntu bionic-proposed main universe' Overriding sources.list in build-PACKAGEBUILD-13663725 RUN: /usr/share/launchpad-buildd/slavebin/in-target update-debian-chroot --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 Updating target for build PACKAGEBUILD-13663725 Get:1 http://ftpmaster.internal/ubuntu bionic InRelease [235 kB] Get:2 http://ftpmaster.internal/ubuntu bionic-security InRelease [65.4 kB] Get:3 http://ftpmaster.internal/ubuntu bionic-updates InRelease [65.4 kB] Get:4 http://ftpmaster.internal/ubuntu bionic-proposed InRelease [85.4 kB] Get:5 http://ftpmaster.internal/ubuntu bionic/main i386 Packages [1061 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main Translation-en [541 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/universe i386 Packages [8209 kB] Get:8 http://ftpmaster.internal/ubuntu bionic/universe Translation-en [4852 kB] Get:9 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 Packages [143 kB] Get:10 http://ftpmaster.internal/ubuntu bionic-proposed/main Translation-en [79.7 kB] Get:11 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 Packages [739 kB] Get:12 http://ftpmaster.internal/ubuntu bionic-proposed/universe Translation-en [479 kB] Fetched 16.6 MB in 4s (3445 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following packages were automatically installed and are no longer required: libasn1-8-heimdal libcurl3-gnutls libgssapi-krb5-2 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libidn2-0 libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 libldap-2.4-2 libldap-common libpsl5 libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libunistring0 libustr-1.0-1 libwind0-heimdal Use 'sudo apt autoremove' to remove them. The following packages will be REMOVED: apt-transport-https* The following packages will be upgraded: apt base-files base-passwd binutils binutils-common binutils-i686-linux-gnu build-essential coreutils cpp-7 debconf dpkg dpkg-dev e2fslibs e2fsprogs g++-7 gcc-7 gcc-7-base gnupg gnupg-agent gpgv libapparmor1 libapt-pkg5.0 libasan4 libatomic1 libbinutils libc-bin libc-dev-bin libc6 libc6-dev libcap-ng0 libcap2 libcc1-0 libcilkrts5 libcomerr2 libcurl3-gnutls libdpkg-perl libgcc-7-dev libgcc1 libgcrypt20 libgmp10 libgomp1 libgpg-error0 libgssapi-krb5-2 libhogweed4 libitm1 libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 libmpx2 libnettle6 libp11-kit0 libpcre3 libperl5.26 libpng16-16 libpsl5 libquadmath0 libseccomp2 libselinux1 libsemanage-common libsemanage1 libsqlite3-0 libss2 libstdc++-7-dev libstdc++6 libsystemd0 libubsan0 libudev1 linux-libc-dev multiarch-support perl perl-base perl-modules-5.26 pinentry-curses systemd systemd-sysv sysvinit-utils tzdata 78 upgraded, 0 newly installed, 1 to remove and 0 not upgraded. Need to get 58.5 MB of archives. After this operation, 699 kB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu bionic/main i386 base-files i386 10ubuntu1 [55.9 kB] Get:2 http://ftpmaster.internal/ubuntu bionic/main i386 coreutils i386 8.26-3ubuntu4 [1283 kB] Get:3 http://ftpmaster.internal/ubuntu bionic/main i386 dpkg i386 1.19.0.4ubuntu1 [1166 kB] Get:4 http://ftpmaster.internal/ubuntu bionic/main i386 libc6-dev i386 2.26-0ubuntu2 [2144 kB] Get:5 http://ftpmaster.internal/ubuntu bionic/main i386 libc-dev-bin i386 2.26-0ubuntu2 [67.0 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main i386 linux-libc-dev i386 4.13.0-16.19 [954 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/main i386 libquadmath0 i386 7.2.0-12ubuntu1 [204 kB] Get:8 http://ftpmaster.internal/ubuntu bionic/main i386 libitm1 i386 7.2.0-12ubuntu1 [30.3 kB] Get:9 http://ftpmaster.internal/ubuntu bionic/main i386 gcc-7-base i386 7.2.0-12ubuntu1 [18.3 kB] Get:10 http://ftpmaster.internal/ubuntu bionic/main i386 libgcc1 i386 1:7.2.0-12ubuntu1 [47.0 kB] Get:11 http://ftpmaster.internal/ubuntu bionic/main i386 libmpx2 i386 7.2.0-12ubuntu1 [13.0 kB] Get:12 http://ftpmaster.internal/ubuntu bionic/main i386 libgomp1 i386 7.2.0-12ubuntu1 [80.3 kB] Get:13 http://ftpmaster.internal/ubuntu bionic/main i386 libatomic1 i386 7.2.0-12ubuntu1 [9696 B] Get:14 http://ftpmaster.internal/ubuntu bionic/main i386 libasan4 i386 7.2.0-12ubuntu1 [361 kB] Get:15 http://ftpmaster.internal/ubuntu bionic/main i386 libubsan0 i386 7.2.0-12ubuntu1 [141 kB] Get:16 http://ftpmaster.internal/ubuntu bionic/main i386 libcilkrts5 i386 7.2.0-12ubuntu1 [47.3 kB] Get:17 http://ftpmaster.internal/ubuntu bionic/main i386 cpp-7 i386 7.2.0-12ubuntu1 [6959 kB] Get:18 http://ftpmaster.internal/ubuntu bionic/main i386 libcc1-0 i386 7.2.0-12ubuntu1 [41.4 kB] Get:19 http://ftpmaster.internal/ubuntu bionic/main i386 g++-7 i386 7.2.0-12ubuntu1 [7800 kB] Get:20 http://ftpmaster.internal/ubuntu bionic/main i386 gcc-7 i386 7.2.0-12ubuntu1 [7663 kB] Get:21 http://ftpmaster.internal/ubuntu bionic/main i386 libgcc-7-dev i386 7.2.0-12ubuntu1 [2396 kB] Get:22 http://ftpmaster.internal/ubuntu bionic/main i386 libstdc++-7-dev i386 7.2.0-12ubuntu1 [1500 kB] Get:23 http://ftpmaster.internal/ubuntu bionic/main i386 libstdc++6 i386 7.2.0-12ubuntu1 [437 kB] Get:24 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libgmp10 i386 2:6.1.2+dfsg-1.1 [246 kB] Get:25 http://ftpmaster.internal/ubuntu bionic/main i386 libbinutils i386 2.29.1-6ubuntu1 [551 kB] Get:26 http://ftpmaster.internal/ubuntu bionic/main i386 binutils i386 2.29.1-6ubuntu1 [3346 B] Get:27 http://ftpmaster.internal/ubuntu bionic/main i386 binutils-common i386 2.29.1-6ubuntu1 [190 kB] Get:28 http://ftpmaster.internal/ubuntu bionic/main i386 binutils-i686-linux-gnu i386 2.29.1-6ubuntu1 [1997 kB] Get:29 http://ftpmaster.internal/ubuntu bionic/main i386 libc6 i386 2.26-0ubuntu2 [2544 kB] Get:30 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 e2fslibs i386 1.43.7-1 [184 kB] Get:31 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 e2fsprogs i386 1.43.7-1 [535 kB] Get:32 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 perl-modules-5.26 all 5.26.1-2ubuntu1 [2760 kB] Get:33 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libperl5.26 i386 5.26.1-2ubuntu1 [3148 kB] Get:34 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 perl i386 5.26.1-2ubuntu1 [201 kB] Get:35 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 perl-base i386 5.26.1-2ubuntu1 [1493 kB] Get:36 http://ftpmaster.internal/ubuntu bionic/main i386 base-passwd i386 3.5.44 [47.8 kB] Get:37 http://ftpmaster.internal/ubuntu bionic/main i386 libc-bin i386 2.26-0ubuntu2 [569 kB] Get:38 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 sysvinit-utils i386 2.88dsf-59.10ubuntu1 [19.3 kB] Get:39 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libudev1 i386 235-2ubuntu1 [57.9 kB] Get:40 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libapt-pkg5.0 i386 1.6~alpha3 [848 kB] Get:41 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libgpg-error0 i386 1.27-4 [40.2 kB] Get:42 http://ftpmaster.internal/ubuntu bionic/main i386 libgcrypt20 i386 1.7.9-1 [375 kB] Get:43 http://ftpmaster.internal/ubuntu bionic/main i386 gpgv i386 2.1.15-1ubuntu8 [206 kB] Get:44 http://ftpmaster.internal/ubuntu bionic/main i386 libseccomp2 i386 2.3.1-2.1ubuntu3 [35.4 kB] Get:45 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 apt i386 1.6~alpha3 [1169 kB] Get:46 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 debconf all 1.5.64 [124 kB] Get:47 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libapparmor1 i386 2.11.0-2ubuntu18 [30.3 kB] Get:48 http://ftpmaster.internal/ubuntu bionic/main i386 libcap2 i386 1:2.25-1.1 [13.6 kB] Get:49 http://ftpmaster.internal/ubuntu bionic/main i386 libpcre3 i386 2:8.39-5ubuntu3 [228 kB] Get:50 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libselinux1 i386 2.7-2 [73.0 kB] Get:51 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 systemd i386 235-2ubuntu1 [2927 kB] Get:52 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libsystemd0 i386 235-2ubuntu1 [213 kB] Get:53 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 systemd-sysv i386 235-2ubuntu1 [12.7 kB] Get:54 http://ftpmaster.internal/ubuntu bionic/main i386 libcap-ng0 i386 0.7.7-3.1 [11.2 kB] Get:55 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libcomerr2 i386 1.43.7-1 [11.7 kB] Get:56 http://ftpmaster.internal/ubuntu bionic/main i386 libsemanage-common all 2.7-2 [6916 B] Get:57 http://ftpmaster.internal/ubuntu bionic/main i386 libsemanage1 i386 2.7-2 [93.4 kB] Get:58 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libss2 i386 1.43.7-1 [11.6 kB] Get:59 http://ftpmaster.internal/ubuntu bionic/main i386 libnettle6 i386 3.3-2 [109 kB] Get:60 http://ftpmaster.internal/ubuntu bionic/main i386 libhogweed4 i386 3.3-2 [137 kB] Get:61 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libp11-kit0 i386 0.23.9-2 [185 kB] Get:62 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 pinentry-curses i386 1.0.0-3 [36.6 kB] Get:63 http://ftpmaster.internal/ubuntu bionic/main i386 gnupg i386 2.1.15-1ubuntu8 [823 kB] Get:64 http://ftpmaster.internal/ubuntu bionic/main i386 gnupg-agent i386 2.1.15-1ubuntu8 [276 kB] Get:65 http://ftpmaster.internal/ubuntu bionic/main i386 libsqlite3-0 i386 3.20.1-2 [525 kB] Get:66 http://ftpmaster.internal/ubuntu bionic/main i386 multiarch-support i386 2.26-0ubuntu2 [6830 B] Get:67 http://ftpmaster.internal/ubuntu bionic/main i386 tzdata all 2017c-1 [188 kB] Get:68 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libgssapi-krb5-2 i386 1.15.2-2 [130 kB] Get:69 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libkrb5-3 i386 1.15.2-2 [301 kB] Get:70 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libkrb5support0 i386 1.15.2-2 [33.1 kB] Get:71 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libk5crypto3 i386 1.15.2-2 [89.5 kB] Get:72 http://ftpmaster.internal/ubuntu bionic/main i386 libkeyutils1 i386 1.5.9-9.1ubuntu1 [9736 B] Get:73 http://ftpmaster.internal/ubuntu bionic/main i386 libpng16-16 i386 1.6.34-1 [183 kB] Get:74 http://ftpmaster.internal/ubuntu bionic/main i386 dpkg-dev all 1.19.0.4ubuntu1 [607 kB] Get:75 http://ftpmaster.internal/ubuntu bionic/main i386 libdpkg-perl all 1.19.0.4ubuntu1 [211 kB] Get:76 http://ftpmaster.internal/ubuntu bionic/main i386 build-essential i386 12.4ubuntu1 [4752 B] Get:77 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libpsl5 i386 0.18.0-4 [41.4 kB] Get:78 http://ftpmaster.internal/ubuntu bionic/main i386 libcurl3-gnutls i386 7.55.1-1ubuntu2.1 [214 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 58.5 MB in 1s (44.2 MB/s) (Reading database ... 12671 files and directories currently installed.) 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Setting up libcurl3-gnutls:i386 (7.55.1-1ubuntu2.1) ... Processing triggers for libc-bin (2.26-0ubuntu2) ... RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package PACKAGEBUILD-13663725 i386 bionic-proposed -c chroot:build-PACKAGEBUILD-13663725 --arch=i386 --dist=bionic-proposed --nolog theano_0.9.0+dfsg-1.dsc Initiating build PACKAGEBUILD-13663725 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-98-generic #121-Ubuntu SMP Tue Oct 10 14:24:03 UTC 2017 i686 sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on lcy01-amd64-008.buildd +==============================================================================+ | theano 0.9.0+dfsg-1 (i386) 04 Nov 2017 12:20 | +==============================================================================+ Package: theano Version: 0.9.0+dfsg-1 Source Version: 0.9.0+dfsg-1 Distribution: bionic-proposed Machine Architecture: amd64 Host Architecture: i386 Build Architecture: i386 I: NOTICE: Log filtering will replace 'build/theano-hc992s/theano-0.9.0+dfsg' with '<>' I: NOTICE: Log filtering will replace 'build/theano-hc992s' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-13663725/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- theano_0.9.0+dfsg-1.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-ClZYG0/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-ClZYG0/apt_archive ./ InRelease Get:2 copy:/<>/resolver-ClZYG0/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-ClZYG0/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-ClZYG0/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-ClZYG0/apt_archive ./ Packages [524 B] Fetched 2857 B in 0s (181 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following packages were automatically installed and are no longer required: libasn1-8-heimdal libcurl3-gnutls libgssapi-krb5-2 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libidn2-0 libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 libldap-2.4-2 libldap-common libpsl5 libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libunistring0 libustr-1.0-1 libwind0-heimdal Use 'apt autoremove' to remove them. The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 852 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-ClZYG0/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [852 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 852 B in 0s (0 B/s) Selecting previously unselected package sbuild-build-depends-core-dummy. (Reading database ... 12666 files and directories currently installed.) Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_i386.deb ... Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ... Setting up sbuild-build-depends-core-dummy (0.invalid.0) ... Merged Build-Depends: debhelper (>= 10), dh-python, python-dev, python3-dev, python-setuptools, python3-setuptools, python-six, python3-six, libblas-dev, python-numpy, python3-numpy, python-scipy, python3-scipy, python-nose, python3-nose, python-nose-parameterized, python3-nose-parameterized, python3-sphinx, python3-sphinx-rtd-theme, python3-pygments, dvipng, texlive-latex-extra, rdfind, symlinks, node-browserify-lite, node-uglify, node-pegjs, node-lodash-compat, libjs-d3 Filtered Build-Depends: debhelper (>= 10), dh-python, python-dev, python3-dev, python-setuptools, python3-setuptools, python-six, python3-six, libblas-dev, python-numpy, python3-numpy, python-scipy, python3-scipy, python-nose, python3-nose, python-nose-parameterized, python3-nose-parameterized, python3-sphinx, python3-sphinx-rtd-theme, python3-pygments, dvipng, texlive-latex-extra, rdfind, symlinks, node-browserify-lite, node-uglify, node-pegjs, node-lodash-compat, libjs-d3 dpkg-deb: building package 'sbuild-build-depends-theano-dummy' in '/<>/resolver-kClH5w/apt_archive/sbuild-build-depends-theano-dummy.deb'. Ign:1 copy:/<>/resolver-kClH5w/apt_archive ./ InRelease Get:2 copy:/<>/resolver-kClH5w/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-kClH5w/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-kClH5w/apt_archive ./ Sources [376 B] Get:5 copy:/<>/resolver-kClH5w/apt_archive ./ Packages [708 B] Fetched 3203 B in 0s (255 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install theano build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following packages were automatically installed and are no longer required: libasn1-8-heimdal libcurl3-gnutls libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libidn2-0 libkrb5-26-heimdal libldap-2.4-2 libldap-common libpsl5 libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libustr-1.0-1 libwind0-heimdal Use 'apt autoremove' to remove them. The following additional packages will be installed: autoconf automake autopoint autotools-dev bsdmainutils debhelper dh-autoreconf dh-python dh-strip-nondeterminism docutils-common dvipng file fontconfig-config fonts-dejavu-core fonts-font-awesome fonts-lato fonts-lmodern gettext gettext-base ghostscript groff-base intltool-debian libarchive-zip-perl libavahi-client3 libavahi-common-data libavahi-common3 libblas-dev libblas3 libbsd0 libc-ares2 libcairo2 libcroco3 libcups2 libcupsimage2 libdbus-1-3 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgd3 libgfortran4 libglib2.0-0 libgraphite2-3 libgs9 libgs9-common libharfbuzz-icu0 libharfbuzz0b libice6 libicu59 libijs-0.35 libjbig0 libjbig2dec0 libjpeg-turbo8 libjpeg8 libjs-d3 libjs-jquery libjs-modernizr libjs-sphinxdoc libjs-underscore libkpathsea6 liblapack3 liblcms2-2 libmagic-mgc libmagic1 libmpdec2 libnspr4 libnss3 libpaper-utils libpaper1 libpipeline1 libpixman-1-0 libpoppler68 libpotrace0 libptexenc1 libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-dev libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib libsigsegv2 libsm6 libsynctex1 libtexlua52 libtexluajit2 libtiff5 libtimedate-perl libtool libuv1 libwebp6 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxi6 libxml2 libxmu6 libxpm4 libxrender1 libxt6 libzzip-0-13 m4 man-db mime-support node-ansi-regex node-browserify-lite node-builtin-modules node-camelcase node-cliui node-clone node-cross-spawn node-cross-spawn-async node-decamelize node-defaults node-error-ex node-execa node-find-up node-get-caller-file node-get-stream node-graceful-fs node-hosted-git-info node-invert-kv node-is-arrayish node-is-builtin-module node-is-stream node-isexe node-lcid node-load-json-file node-lodash-compat node-lru-cache node-mem node-mimic-fn node-normalize-package-data node-npm-run-path node-os-locale node-parse-json node-path-exists node-path-type node-pegjs node-pend node-pify node-pseudomap node-read-pkg node-read-pkg-up node-require-directory node-require-main-filename node-semver node-set-blocking node-signal-exit node-spdx-correct node-spdx-expression-parse node-spdx-license-ids node-string-width node-strip-ansi node-strip-bom node-strip-eof node-uglify node-validate-npm-package-license node-wcwidth.js node-which node-which-module node-wrap-ansi node-y18n node-yallist node-yargs node-yargs-parser nodejs po-debconf poppler-data preview-latex-style python python-babel-localedata python-decorator python-dev python-minimal python-nose python-nose-parameterized python-numpy python-pkg-resources python-scipy python-setuptools python-six python2.7 python2.7-dev python2.7-minimal python3 python3-alabaster python3-babel python3-certifi python3-chardet python3-decorator python3-dev python3-docutils python3-idna python3-imagesize python3-jinja2 python3-markupsafe python3-minimal python3-nose python3-nose-parameterized python3-numpy python3-pkg-resources python3-pygments python3-requests python3-roman python3-scipy python3-setuptools python3-six python3-sphinx python3-sphinx-rtd-theme python3-tz python3-urllib3 python3.6 python3.6-dev python3.6-minimal rdfind sgml-base sphinx-common sphinx-rtd-theme-common symlinks t1utils tex-common texlive-base texlive-binaries texlive-latex-base texlive-latex-extra texlive-latex-recommended texlive-pictures ucf window-size x11-common xdg-utils xml-core Suggested packages: autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois vacation dh-make dwz gettext-doc libasprintf-dev libgettextpo-dev ghostscript-x groff liblapack-doc cups-common libgd-tools liblcms2-utils libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc less www-browser node-acorn node-uglify-to-browserify libmail-box-perl poppler-utils fonts-japanese-mincho | fonts-ipafont-mincho fonts-japanese-gothic | fonts-ipafont-gothic fonts-arphic-ukai fonts-arphic-uming fonts-nanum python-doc python-tk python-coverage python-nose-doc python-nose-parameterized-doc gfortran python-numpy-dbg python-numpy-doc python-scipy-doc python-setuptools-doc python2.7-doc binfmt-support python3-doc python3-tk python3-venv docutils-doc fonts-linuxlibertine | ttf-linux-libertine texlive-lang-french python-jinja2-doc python3-numpy-dbg ttf-bitstream-vera python3-cryptography python3-openssl python3-socks libjs-mathjax texlive-fonts-recommended texlive-generic-extra latexmk imagemagick-6.q16 sphinx-doc python3.6-venv python3.6-doc sgml-base-doc perl-tk xpdf-reader | pdf-viewer python-pygments icc-profiles libfile-which-perl libspreadsheet-parseexcel-perl texlive-pstricks dot2tex prerex ruby-tcltk | libtcltk-ruby libglib2.0-bin Recommended packages: latex-xcolor curl | wget | lynx-cur gsfonts libcupsfilters1 dbus libarchive-cpio-perl libglib2.0-data shared-mime-info xdg-user-dirs fonts-droid-fallback javascript-common libltdl-dev node-source-map nodejs-doc libmail-sendmail-perl python-imaging python3-pil lmodern ruby wish texlive-latex-base-doc texlive-fonts-recommended texlive-latex-extra-doc texlive-plain-generic texlive-latex-recommended-doc ruby | ruby-interpreter texlive-pictures-doc tk libfile-mimeinfo-perl libnet-dbus-perl libx11-protocol-perl x11-utils x11-xserver-utils The following packages will be REMOVED: pkg-create-dbgsym* The following NEW packages will be installed: autoconf automake autopoint autotools-dev bsdmainutils debhelper dh-autoreconf dh-python dh-strip-nondeterminism docutils-common dvipng file fontconfig-config fonts-dejavu-core fonts-font-awesome fonts-lato fonts-lmodern gettext gettext-base ghostscript groff-base intltool-debian libarchive-zip-perl libavahi-client3 libavahi-common-data libavahi-common3 libblas-dev libblas3 libbsd0 libc-ares2 libcairo2 libcroco3 libcups2 libcupsimage2 libdbus-1-3 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgd3 libgfortran4 libglib2.0-0 libgraphite2-3 libgs9 libgs9-common libharfbuzz-icu0 libharfbuzz0b libice6 libicu59 libijs-0.35 libjbig0 libjbig2dec0 libjpeg-turbo8 libjpeg8 libjs-d3 libjs-jquery libjs-modernizr libjs-sphinxdoc libjs-underscore libkpathsea6 liblapack3 liblcms2-2 libmagic-mgc libmagic1 libmpdec2 libnspr4 libnss3 libpaper-utils libpaper1 libpipeline1 libpixman-1-0 libpoppler68 libpotrace0 libptexenc1 libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-dev libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib libsigsegv2 libsm6 libsynctex1 libtexlua52 libtexluajit2 libtiff5 libtimedate-perl libtool libuv1 libwebp6 libx11-6 libx11-data libxau6 libxaw7 libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxi6 libxml2 libxmu6 libxpm4 libxrender1 libxt6 libzzip-0-13 m4 man-db mime-support node-ansi-regex node-browserify-lite node-builtin-modules node-camelcase node-cliui node-clone node-cross-spawn node-cross-spawn-async node-decamelize node-defaults node-error-ex node-execa node-find-up node-get-caller-file node-get-stream node-graceful-fs node-hosted-git-info node-invert-kv node-is-arrayish node-is-builtin-module node-is-stream node-isexe node-lcid node-load-json-file node-lodash-compat node-lru-cache node-mem node-mimic-fn node-normalize-package-data node-npm-run-path node-os-locale node-parse-json node-path-exists node-path-type node-pegjs node-pend node-pify node-pseudomap node-read-pkg node-read-pkg-up node-require-directory node-require-main-filename node-semver node-set-blocking node-signal-exit node-spdx-correct node-spdx-expression-parse node-spdx-license-ids node-string-width node-strip-ansi node-strip-bom node-strip-eof node-uglify node-validate-npm-package-license node-wcwidth.js node-which node-which-module node-wrap-ansi node-y18n node-yallist node-yargs node-yargs-parser nodejs po-debconf poppler-data preview-latex-style python python-babel-localedata python-decorator python-dev python-minimal python-nose python-nose-parameterized python-numpy python-pkg-resources python-scipy python-setuptools python-six python2.7 python2.7-dev python2.7-minimal python3 python3-alabaster python3-babel python3-certifi python3-chardet python3-decorator python3-dev python3-docutils python3-idna python3-imagesize python3-jinja2 python3-markupsafe python3-minimal python3-nose python3-nose-parameterized python3-numpy python3-pkg-resources python3-pygments python3-requests python3-roman python3-scipy python3-setuptools python3-six python3-sphinx python3-sphinx-rtd-theme python3-tz python3-urllib3 python3.6 python3.6-dev python3.6-minimal rdfind sbuild-build-depends-theano-dummy sgml-base sphinx-common sphinx-rtd-theme-common symlinks t1utils tex-common texlive-base texlive-binaries texlive-latex-base texlive-latex-extra texlive-latex-recommended texlive-pictures ucf window-size x11-common xdg-utils xml-core 0 upgraded, 246 newly installed, 1 to remove and 0 not upgraded. Need to get 179 MB of archives. After this operation, 626 MB of additional disk space will be used. Get:1 copy:/<>/resolver-kClH5w/apt_archive ./ sbuild-build-depends-theano-dummy 0.invalid.0 [1032 B] Get:2 http://ftpmaster.internal/ubuntu bionic/main i386 libpython3.6-minimal i386 3.6.3-1ubuntu1 [530 kB] Get:3 http://ftpmaster.internal/ubuntu bionic/main i386 libexpat1 i386 2.2.3-1 [75.1 kB] Get:4 http://ftpmaster.internal/ubuntu bionic/main i386 python3.6-minimal i386 3.6.3-1ubuntu1 [1424 kB] Get:5 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python3-minimal i386 3.6.3-2 [23.7 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main i386 mime-support all 3.60ubuntu1 [30.1 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/main i386 libmpdec2 i386 2.4.2-1 [80.7 kB] Get:8 http://ftpmaster.internal/ubuntu bionic/main i386 libpython3.6-stdlib i386 3.6.3-1ubuntu1 [2117 kB] Get:9 http://ftpmaster.internal/ubuntu bionic/main i386 python3.6 i386 3.6.3-1ubuntu1 [175 kB] Get:10 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libpython3-stdlib i386 3.6.3-2 [7200 B] Get:11 http://ftpmaster.internal/ubuntu bionic/main i386 dh-python all 2.20170125 [83.7 kB] Get:12 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python3 i386 3.6.3-2 [8768 B] Get:13 http://ftpmaster.internal/ubuntu bionic/main i386 libxau6 i386 1:1.0.8-1 [8352 B] Get:14 http://ftpmaster.internal/ubuntu bionic/main i386 libbsd0 i386 0.8.6-2 [45.0 kB] Get:15 http://ftpmaster.internal/ubuntu bionic/main i386 libxdmcp6 i386 1:1.1.2-3 [11.1 kB] Get:16 http://ftpmaster.internal/ubuntu bionic/main i386 libxcb1 i386 1.12-1ubuntu1 [49.6 kB] Get:17 http://ftpmaster.internal/ubuntu bionic/main i386 libx11-data all 2:1.6.4-3 [114 kB] Get:18 http://ftpmaster.internal/ubuntu bionic/main i386 libx11-6 i386 2:1.6.4-3 [594 kB] Get:19 http://ftpmaster.internal/ubuntu bionic/main i386 libxext6 i386 2:1.3.3-1 [31.6 kB] Get:20 http://ftpmaster.internal/ubuntu bionic/main i386 groff-base i386 1.22.3-9 [1163 kB] Get:21 http://ftpmaster.internal/ubuntu bionic/main i386 bsdmainutils i386 9.0.12+nmu1ubuntu1 [181 kB] Get:22 http://ftpmaster.internal/ubuntu bionic/main i386 libpipeline1 i386 1.4.2-1 [26.8 kB] Get:23 http://ftpmaster.internal/ubuntu bionic/main i386 man-db i386 2.7.6.1-2 [906 kB] Get:24 http://ftpmaster.internal/ubuntu bionic/main i386 fonts-lato all 2.0-2 [2698 kB] Get:25 http://ftpmaster.internal/ubuntu bionic/main i386 libjpeg-turbo8 i386 1.5.2-0ubuntu5 [118 kB] Get:26 http://ftpmaster.internal/ubuntu bionic/main i386 x11-common all 1:7.7+19ubuntu3 [22.0 kB] Get:27 http://ftpmaster.internal/ubuntu bionic/main i386 libice6 i386 2:1.0.9-2 [42.6 kB] Get:28 http://ftpmaster.internal/ubuntu bionic/main i386 libsm6 i386 2:1.2.2-1 [14.8 kB] Get:29 http://ftpmaster.internal/ubuntu bionic/main i386 poppler-data all 0.4.8-2 [1479 kB] Get:30 http://ftpmaster.internal/ubuntu bionic/main i386 libpython2.7-minimal i386 2.7.14-2ubuntu2 [338 kB] Get:31 http://ftpmaster.internal/ubuntu bionic/main i386 python2.7-minimal i386 2.7.14-2ubuntu2 [1320 kB] Get:32 http://ftpmaster.internal/ubuntu bionic/main i386 python-minimal i386 2.7.14-2ubuntu1 [28.1 kB] Get:33 http://ftpmaster.internal/ubuntu bionic/main i386 libpython2.7-stdlib i386 2.7.14-2ubuntu2 [1931 kB] Get:34 http://ftpmaster.internal/ubuntu bionic/main i386 python2.7 i386 2.7.14-2ubuntu2 [233 kB] Get:35 http://ftpmaster.internal/ubuntu bionic/main i386 libpython-stdlib i386 2.7.14-2ubuntu1 [7576 B] Get:36 http://ftpmaster.internal/ubuntu bionic/main i386 python i386 2.7.14-2ubuntu1 [140 kB] Get:37 http://ftpmaster.internal/ubuntu bionic/main i386 sgml-base all 1.29 [12.3 kB] Get:38 http://ftpmaster.internal/ubuntu bionic/main i386 ucf all 3.0036 [52.9 kB] Get:39 http://ftpmaster.internal/ubuntu bionic/main i386 tex-common all 6.09 [33.0 kB] Get:40 http://ftpmaster.internal/ubuntu bionic/main i386 libjbig0 i386 2.1-3.1 [27.0 kB] Get:41 http://ftpmaster.internal/ubuntu bionic/main i386 libmagic-mgc i386 1:5.32-1 [184 kB] Get:42 http://ftpmaster.internal/ubuntu bionic/main i386 libmagic1 i386 1:5.32-1 [75.0 kB] Get:43 http://ftpmaster.internal/ubuntu bionic/main i386 file i386 1:5.32-1 [21.9 kB] Get:44 http://ftpmaster.internal/ubuntu bionic/main i386 libdbus-1-3 i386 1.12.0-1ubuntu1 [187 kB] Get:45 http://ftpmaster.internal/ubuntu bionic/main i386 libglib2.0-0 i386 2.54.1-1ubuntu1 [1231 kB] Get:46 http://ftpmaster.internal/ubuntu bionic/main i386 libicu59 i386 59.1-3ubuntu1 [7948 kB] Get:47 http://ftpmaster.internal/ubuntu bionic/main i386 libxml2 i386 2.9.4+dfsg1-5ubuntu1 [703 kB] Get:48 http://ftpmaster.internal/ubuntu bionic/main i386 gettext-base i386 0.19.8.1-4ubuntu1 [50.7 kB] Get:49 http://ftpmaster.internal/ubuntu bionic/main i386 libsigsegv2 i386 2.11-1 [13.5 kB] Get:50 http://ftpmaster.internal/ubuntu bionic/main i386 m4 i386 1.4.18-1 [196 kB] Get:51 http://ftpmaster.internal/ubuntu bionic/main i386 autoconf all 2.69-11 [322 kB] Get:52 http://ftpmaster.internal/ubuntu bionic/main i386 autotools-dev all 20161112.1+nmu1 [40.2 kB] Get:53 http://ftpmaster.internal/ubuntu bionic/main i386 automake all 1:1.15.1-3ubuntu1 [509 kB] Get:54 http://ftpmaster.internal/ubuntu bionic/main i386 autopoint all 0.19.8.1-4ubuntu1 [412 kB] Get:55 http://ftpmaster.internal/ubuntu bionic/main i386 libtool all 2.4.6-2 [194 kB] Get:56 http://ftpmaster.internal/ubuntu bionic/main i386 dh-autoreconf all 14 [15.5 kB] Get:57 http://ftpmaster.internal/ubuntu bionic/main i386 libarchive-zip-perl all 1.59-1 [84.0 kB] Get:58 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libfile-stripnondeterminism-perl all 0.040-1 [13.9 kB] Get:59 http://ftpmaster.internal/ubuntu bionic/main i386 libtimedate-perl all 2.3000-2 [37.5 kB] Get:60 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 dh-strip-nondeterminism all 0.040-1 [5196 B] Get:61 http://ftpmaster.internal/ubuntu bionic/main i386 libcroco3 i386 0.6.12-1 [87.5 kB] Get:62 http://ftpmaster.internal/ubuntu bionic/main i386 gettext i386 0.19.8.1-4ubuntu1 [1097 kB] Get:63 http://ftpmaster.internal/ubuntu bionic/main i386 intltool-debian all 0.35.0+20060710.4 [24.9 kB] Get:64 http://ftpmaster.internal/ubuntu bionic/main i386 po-debconf all 1.0.20 [232 kB] Get:65 http://ftpmaster.internal/ubuntu bionic/main i386 debhelper all 10.10.5ubuntu1 [876 kB] Get:66 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 xml-core all 0.18 [21.3 kB] Get:67 http://ftpmaster.internal/ubuntu bionic/main i386 docutils-common all 0.14+dfsg-1 [156 kB] Get:68 http://ftpmaster.internal/ubuntu bionic/main i386 libfreetype6 i386 2.8-0.2ubuntu2 [349 kB] Get:69 http://ftpmaster.internal/ubuntu bionic/main i386 fonts-dejavu-core all 2.37-1 [1041 kB] Get:70 http://ftpmaster.internal/ubuntu bionic/main i386 fontconfig-config all 2.12.6-0ubuntu1 [55.5 kB] Get:71 http://ftpmaster.internal/ubuntu bionic/main i386 libfontconfig1 i386 2.12.6-0ubuntu1 [146 kB] Get:72 http://ftpmaster.internal/ubuntu bionic/main i386 libjpeg8 i386 8c-2ubuntu8 [2188 B] Get:73 http://ftpmaster.internal/ubuntu bionic/main i386 libtiff5 i386 4.0.8-6 [162 kB] Get:74 http://ftpmaster.internal/ubuntu bionic/main i386 libwebp6 i386 0.6.0-3 [193 kB] Get:75 http://ftpmaster.internal/ubuntu bionic/main i386 libxpm4 i386 1:3.5.12-1 [35.8 kB] Get:76 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libgd3 i386 2.2.5-4 [122 kB] Get:77 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libkpathsea6 i386 2017.20170613.44572-6 [59.1 kB] Get:78 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libptexenc1 i386 2017.20170613.44572-6 [35.2 kB] Get:79 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libsynctex1 i386 2017.20170613.44572-6 [43.6 kB] Get:80 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libtexlua52 i386 2017.20170613.44572-6 [99.6 kB] Get:81 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libtexluajit2 i386 2017.20170613.44572-6 [246 kB] Get:82 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 t1utils i386 1.41-1 [56.6 kB] Get:83 http://ftpmaster.internal/ubuntu bionic/main i386 libpixman-1-0 i386 0.34.0-1 [235 kB] Get:84 http://ftpmaster.internal/ubuntu bionic/main i386 libxcb-render0 i386 1.12-1ubuntu1 [15.9 kB] Get:85 http://ftpmaster.internal/ubuntu bionic/main i386 libxcb-shm0 i386 1.12-1ubuntu1 [5624 B] Get:86 http://ftpmaster.internal/ubuntu bionic/main i386 libxrender1 i386 1:0.9.10-1 [19.9 kB] Get:87 http://ftpmaster.internal/ubuntu bionic/main i386 libcairo2 i386 1.15.8-2 [630 kB] Get:88 http://ftpmaster.internal/ubuntu bionic/main i386 libgraphite2-3 i386 1.3.10-6 [80.6 kB] Get:89 http://ftpmaster.internal/ubuntu bionic/main i386 libavahi-common-data i386 0.6.32-1ubuntu1 [22.0 kB] Get:90 http://ftpmaster.internal/ubuntu bionic/main i386 libavahi-common3 i386 0.6.32-1ubuntu1 [23.5 kB] Get:91 http://ftpmaster.internal/ubuntu bionic/main i386 libavahi-client3 i386 0.6.32-1ubuntu1 [27.1 kB] Get:92 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libcups2 i386 2.2.6-2 [225 kB] Get:93 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libcupsimage2 i386 2.2.6-2 [19.4 kB] Get:94 http://ftpmaster.internal/ubuntu bionic/main i386 libijs-0.35 i386 0.35-12 [16.0 kB] Get:95 http://ftpmaster.internal/ubuntu bionic/main i386 libjbig2dec0 i386 0.13-5 [58.7 kB] Get:96 http://ftpmaster.internal/ubuntu bionic/main i386 liblcms2-2 i386 2.7-1ubuntu1 [148 kB] Get:97 http://ftpmaster.internal/ubuntu bionic/main i386 libpaper1 i386 1.1.24+nmu5ubuntu1 [13.7 kB] Get:98 http://ftpmaster.internal/ubuntu bionic/main i386 libgs9-common all 9.21~dfsg+1-0ubuntu3 [5121 kB] Get:99 http://ftpmaster.internal/ubuntu bionic/main i386 libgs9 i386 9.21~dfsg+1-0ubuntu3 [2281 kB] Get:100 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libharfbuzz0b i386 1.6.2-1 [231 kB] Get:101 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libharfbuzz-icu0 i386 1.6.2-1 [5440 B] Get:102 http://ftpmaster.internal/ubuntu bionic/main i386 libnspr4 i386 2:4.16-1ubuntu2 [121 kB] Get:103 http://ftpmaster.internal/ubuntu bionic/main i386 libnss3 i386 2:3.32-1ubuntu3 [1210 kB] Get:104 http://ftpmaster.internal/ubuntu bionic/main i386 libpoppler68 i386 0.57.0-2ubuntu4 [815 kB] Get:105 http://ftpmaster.internal/ubuntu bionic/main i386 libpotrace0 i386 1.14-2 [16.7 kB] Get:106 http://ftpmaster.internal/ubuntu bionic/main i386 libxt6 i386 1:1.1.5-1 [164 kB] Get:107 http://ftpmaster.internal/ubuntu bionic/main i386 libxmu6 i386 2:1.1.2-2 [48.4 kB] Get:108 http://ftpmaster.internal/ubuntu bionic/main i386 libxaw7 i386 2:1.0.13-1 [182 kB] Get:109 http://ftpmaster.internal/ubuntu bionic/main i386 libxi6 i386 2:1.7.9-1 [31.7 kB] Get:110 http://ftpmaster.internal/ubuntu bionic/main i386 libzzip-0-13 i386 0.13.62-3.1 [27.6 kB] Get:111 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 texlive-binaries i386 2017.20170613.44572-6 [8025 kB] Get:112 http://ftpmaster.internal/ubuntu bionic/main i386 ghostscript i386 9.21~dfsg+1-0ubuntu3 [49.8 kB] Get:113 http://ftpmaster.internal/ubuntu bionic/universe i386 dvipng i386 1.15-0ubuntu1 [77.0 kB] Get:114 http://ftpmaster.internal/ubuntu bionic/main i386 fonts-font-awesome all 4.7.0~dfsg-3 [513 kB] Get:115 http://ftpmaster.internal/ubuntu bionic/main i386 fonts-lmodern all 2.004.5-3 [4551 kB] Get:116 http://ftpmaster.internal/ubuntu bionic/main i386 libblas3 i386 3.7.1-3ubuntu2 [124 kB] Get:117 http://ftpmaster.internal/ubuntu bionic/main i386 libblas-dev i386 3.7.1-3ubuntu2 [129 kB] Get:118 http://ftpmaster.internal/ubuntu bionic/main i386 libexpat1-dev i386 2.2.3-1 [125 kB] Get:119 http://ftpmaster.internal/ubuntu bionic/main i386 libgfortran4 i386 7.2.0-12ubuntu1 [473 kB] Get:120 http://ftpmaster.internal/ubuntu bionic/universe i386 libjs-d3 all 3.5.17-2 [131 kB] Get:121 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libjs-jquery all 3.2.1-1 [152 kB] Get:122 http://ftpmaster.internal/ubuntu bionic/main i386 libjs-underscore all 1.8.3~dfsg-1 [59.9 kB] Get:123 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libjs-sphinxdoc all 1.6.5-2 [86.1 kB] Get:124 http://ftpmaster.internal/ubuntu bionic/main i386 liblapack3 i386 3.7.1-3ubuntu2 [1917 kB] Get:125 http://ftpmaster.internal/ubuntu bionic/main i386 libpaper-utils i386 1.1.24+nmu5ubuntu1 [8248 B] Get:126 http://ftpmaster.internal/ubuntu bionic/main i386 libpython2.7 i386 2.7.14-2ubuntu2 [1071 kB] Get:127 http://ftpmaster.internal/ubuntu bionic/main i386 libpython2.7-dev i386 2.7.14-2ubuntu2 [28.2 MB] Get:128 http://ftpmaster.internal/ubuntu bionic/main i386 libpython-dev i386 2.7.14-2ubuntu1 [7656 B] Get:129 http://ftpmaster.internal/ubuntu bionic/main i386 libpython3.6 i386 3.6.3-1ubuntu1 [1456 kB] Get:130 http://ftpmaster.internal/ubuntu bionic/main i386 libpython3.6-dev i386 3.6.3-1ubuntu1 [2790 kB] Get:131 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 libpython3-dev i386 3.6.3-2 [7328 B] Get:132 http://ftpmaster.internal/ubuntu bionic/main i386 libuv1 i386 1.9.1-3 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node-wrap-ansi all 2.0.0-1 [4812 B] Get:143 http://ftpmaster.internal/ubuntu bionic/universe i386 node-cliui all 3.2.0-2 [6550 B] Get:144 http://ftpmaster.internal/ubuntu bionic/universe i386 node-yallist all 2.0.0-1 [5398 B] Get:145 http://ftpmaster.internal/ubuntu bionic/universe i386 node-pseudomap all 1.0.2-1 [3534 B] Get:146 http://ftpmaster.internal/ubuntu bionic/universe i386 node-lru-cache all 4.0.2-1 [7448 B] Get:147 http://ftpmaster.internal/ubuntu bionic/universe i386 node-isexe all 2.0.0-3 [4376 B] Get:148 http://ftpmaster.internal/ubuntu bionic/universe i386 node-which all 1.2.11-1 [3918 B] Get:149 http://ftpmaster.internal/ubuntu bionic/universe i386 node-cross-spawn-async all 2.2.5-2 [6432 B] Get:150 http://ftpmaster.internal/ubuntu bionic/universe i386 node-decamelize all 1.2.0-1 [3090 B] Get:151 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 node-is-arrayish all 0.3.1-1 [3208 B] Get:152 http://ftpmaster.internal/ubuntu bionic/universe i386 node-error-ex 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all 1.0.2-1 [2850 B] Get:163 http://ftpmaster.internal/ubuntu bionic/universe i386 node-hosted-git-info all 2.1.5-1 [5738 B] Get:164 http://ftpmaster.internal/ubuntu bionic/universe i386 node-invert-kv all 1.0.0-1 [2900 B] Get:165 http://ftpmaster.internal/ubuntu bionic/universe i386 node-is-builtin-module all 1.0.0-1 [2906 B] Get:166 http://ftpmaster.internal/ubuntu bionic/universe i386 node-lcid all 1.0.0-1 [4264 B] Get:167 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 node-pify all 3.0.0-1 [4492 B] Get:168 http://ftpmaster.internal/ubuntu bionic/universe i386 node-strip-bom all 3.0.0-1 [3074 B] Get:169 http://ftpmaster.internal/ubuntu bionic/universe i386 node-graceful-fs all 4.1.11-1 [10.8 kB] Get:170 http://ftpmaster.internal/ubuntu bionic/universe i386 node-parse-json all 2.2.0-1 [10.1 kB] Get:171 http://ftpmaster.internal/ubuntu bionic/universe i386 node-load-json-file all 2.0.0-1 [3106 B] Get:172 http://ftpmaster.internal/ubuntu bionic/universe i386 node-lodash-compat all 3.10.2-1 [80.2 kB] Get:173 http://ftpmaster.internal/ubuntu bionic/universe i386 node-mimic-fn all 1.1.0-1 [3102 B] Get:174 http://ftpmaster.internal/ubuntu bionic/universe i386 node-mem all 1.1.0-1 [4116 B] Get:175 http://ftpmaster.internal/ubuntu bionic/universe i386 node-os-locale all 2.0.0-1 [3750 B] Get:176 http://ftpmaster.internal/ubuntu bionic/universe i386 node-path-type all 2.0.0-1 [3100 B] Get:177 http://ftpmaster.internal/ubuntu bionic/universe i386 node-pegjs all 0.7.0-2 [25.4 kB] Get:178 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 node-semver all 5.4.1-1 [22.6 kB] Get:179 http://ftpmaster.internal/ubuntu bionic/universe i386 node-spdx-license-ids all 1.2.2-1 [4792 B] Get:180 http://ftpmaster.internal/ubuntu bionic/universe i386 node-spdx-correct all 1.0.2-1 [3718 B] Get:181 http://ftpmaster.internal/ubuntu bionic/universe i386 node-spdx-expression-parse all 1.0.4-1 [12.1 kB] Get:182 http://ftpmaster.internal/ubuntu bionic/universe i386 node-validate-npm-package-license all 3.0.1-1 [3488 B] Get:183 http://ftpmaster.internal/ubuntu bionic/universe i386 node-normalize-package-data all 2.3.5-2 [10.6 kB] Get:184 http://ftpmaster.internal/ubuntu bionic/universe i386 node-read-pkg all 2.0.0-1 [3402 B] Get:185 http://ftpmaster.internal/ubuntu bionic/universe i386 node-read-pkg-up all 2.0.0-1 [3502 B] Get:186 http://ftpmaster.internal/ubuntu bionic/universe i386 node-require-directory all 2.1.1-1 [5394 B] Get:187 http://ftpmaster.internal/ubuntu bionic/universe i386 node-require-main-filename all 1.0.1-1 [3198 B] Get:188 http://ftpmaster.internal/ubuntu bionic/universe i386 node-set-blocking all 2.0.0-1 [3402 B] Get:189 http://ftpmaster.internal/ubuntu bionic/universe i386 window-size all 0.2.0-1 [3984 B] Get:190 http://ftpmaster.internal/ubuntu bionic/universe i386 node-which-module all 1.0.0-1 [3234 B] Get:191 http://ftpmaster.internal/ubuntu bionic/universe i386 node-y18n all 3.2.1-2 [4738 B] Get:192 http://ftpmaster.internal/ubuntu bionic/universe i386 node-camelcase all 3.0.0-1 [3332 B] Get:193 http://ftpmaster.internal/ubuntu bionic/universe i386 node-yargs-parser all 4.1.0-1 [10.4 kB] Get:194 http://ftpmaster.internal/ubuntu bionic/universe i386 node-yargs all 6.4.0-2 [43.1 kB] Get:195 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 node-uglify all 2.8.29-3 [115 kB] Get:196 http://ftpmaster.internal/ubuntu bionic/main i386 preview-latex-style all 11.90-2ubuntu1 [184 kB] Get:197 http://ftpmaster.internal/ubuntu bionic/main i386 python-babel-localedata all 2.4.0+dfsg.1-2ubuntu1 [3412 kB] Get:198 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python-decorator all 4.1.2-1 [9300 B] Get:199 http://ftpmaster.internal/ubuntu bionic/main i386 python2.7-dev i386 2.7.14-2ubuntu2 [278 kB] Get:200 http://ftpmaster.internal/ubuntu bionic/main i386 python-dev i386 2.7.14-2ubuntu1 [1168 B] Get:201 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python-pkg-resources all 36.6.0-1 [129 kB] Get:202 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 python-nose all 1.3.7-3 [116 kB] Get:203 http://ftpmaster.internal/ubuntu bionic/universe i386 python-nose-parameterized all 0.3.4-4 [7132 B] Get:204 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python-numpy i386 1:1.13.1-1ubuntu1 [1934 kB] Get:205 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python-setuptools all 36.6.0-1 [262 kB] Get:206 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python-six all 1.11.0-1 [11.1 kB] Get:207 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python3-pkg-resources all 36.6.0-1 [99.2 kB] Get:208 http://ftpmaster.internal/ubuntu bionic/main i386 python3-tz all 2017.2-2 [25.1 kB] Get:209 http://ftpmaster.internal/ubuntu bionic/main i386 python3-babel all 2.4.0+dfsg.1-2ubuntu1 [79.9 kB] Get:210 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python3-certifi all 2017.7.27.1-2 [166 kB] Get:211 http://ftpmaster.internal/ubuntu bionic/main i386 python3-chardet all 3.0.4-1 [80.3 kB] Get:212 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 python3-decorator all 4.1.2-1 [9364 B] Get:213 http://ftpmaster.internal/ubuntu bionic/main i386 python3.6-dev i386 3.6.3-1ubuntu1 [519 kB] Get:214 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python3-dev i386 3.6.3-2 [1272 B] Get:215 http://ftpmaster.internal/ubuntu bionic/main i386 python3-roman all 2.0.0-2 [8140 B] Get:216 http://ftpmaster.internal/ubuntu bionic/main i386 python3-docutils all 0.14+dfsg-1 [364 kB] Get:217 http://ftpmaster.internal/ubuntu bionic/main i386 python3-idna all 2.5-1 [31.7 kB] Get:218 http://ftpmaster.internal/ubuntu bionic/main i386 python3-imagesize all 0.7.1-1 [3926 B] Get:219 http://ftpmaster.internal/ubuntu bionic/main i386 python3-markupsafe i386 1.0-1build1 [13.7 kB] Get:220 http://ftpmaster.internal/ubuntu bionic/main i386 python3-jinja2 all 2.9.6-1 [108 kB] Get:221 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sphinx-common all 1.6.5-2 [420 kB] Get:231 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 python3-sphinx all 1.6.5-2 [458 kB] Get:232 http://ftpmaster.internal/ubuntu bionic/main i386 libjs-modernizr all 2.6.2+ds1-1ubuntu1 [46.7 kB] Get:233 http://ftpmaster.internal/ubuntu bionic/main i386 sphinx-rtd-theme-common all 0.2.4-1 [224 kB] Get:234 http://ftpmaster.internal/ubuntu bionic/universe i386 python3-sphinx-rtd-theme all 0.2.4-1 [12.8 kB] Get:235 http://ftpmaster.internal/ubuntu bionic/universe i386 symlinks i386 1.4-3 [10.4 kB] Get:236 http://ftpmaster.internal/ubuntu bionic/main i386 xdg-utils all 1.1.1-1ubuntu3 [59.4 kB] Get:237 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 texlive-base all 2017.20171031-1 [18.6 MB] Get:238 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 texlive-latex-base all 2017.20171031-1 [947 kB] Get:239 http://ftpmaster.internal/ubuntu bionic-proposed/main i386 texlive-latex-recommended all 2017.20171031-1 [14.8 MB] Get:240 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 texlive-pictures all 2017.20171031-1 [3991 kB] Get:241 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 texlive-latex-extra all 2017.20171031-1 [10.5 MB] Get:242 http://ftpmaster.internal/ubuntu bionic/universe i386 node-pend all 1.2.0-1 [3376 B] Get:243 http://ftpmaster.internal/ubuntu bionic/universe i386 node-browserify-lite all 0.5.0-1 [6454 B] Get:244 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 python-scipy i386 0.19.1-1ubuntu1 [8892 kB] Get:245 http://ftpmaster.internal/ubuntu bionic-proposed/universe i386 python3-scipy i386 0.19.1-1ubuntu1 [8834 kB] Get:246 http://ftpmaster.internal/ubuntu bionic/universe i386 rdfind i386 1.3.5-1 [44.8 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 179 MB in 5s (34.6 MB/s) (Reading database ... 12666 files and directories currently installed.) Removing pkg-create-dbgsym (0.73) ... Selecting previously unselected package libpython3.6-minimal:i386. (Reading database ... 12657 files and directories currently installed.) Preparing to unpack .../0-libpython3.6-minimal_3.6.3-1ubuntu1_i386.deb ... Unpacking libpython3.6-minimal:i386 (3.6.3-1ubuntu1) ... Selecting previously unselected package libexpat1:i386. Preparing to unpack .../1-libexpat1_2.2.3-1_i386.deb ... Unpacking libexpat1:i386 (2.2.3-1) ... Selecting previously unselected package python3.6-minimal. Preparing to unpack .../2-python3.6-minimal_3.6.3-1ubuntu1_i386.deb ... Unpacking python3.6-minimal (3.6.3-1ubuntu1) ... Selecting previously unselected package python3-minimal. Preparing to unpack .../3-python3-minimal_3.6.3-2_i386.deb ... Unpacking python3-minimal (3.6.3-2) ... Selecting previously unselected package mime-support. Preparing to unpack .../4-mime-support_3.60ubuntu1_all.deb ... Unpacking mime-support (3.60ubuntu1) ... 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Setting up node-decamelize (1.2.0-1) ... Setting up man-db (2.7.6.1-2) ... Not building database; man-db/auto-update is not 'true'. Setting up node-y18n (3.2.1-2) ... Setting up node-ansi-regex (3.0.0-1) ... Setting up libpython2.7-dev:i386 (2.7.14-2ubuntu2) ... Setting up node-isexe (2.0.0-3) ... Setting up node-npm-run-path (2.0.2-1) ... Setting up node-spdx-correct (1.0.2-1) ... Setting up libavahi-common3:i386 (0.6.32-1ubuntu1) ... Setting up python2.7-dev (2.7.14-2ubuntu2) ... Setting up window-size (0.2.0-1) ... Setting up node-strip-eof (1.0.0-2) ... Setting up libxcb1:i386 (1.12-1ubuntu1) ... Setting up node-require-main-filename (1.0.1-1) ... Setting up node-strip-ansi (4.0.0-1) ... Setting up python (2.7.14-2ubuntu1) ... Setting up node-pend (1.2.0-1) ... Setting up node-yargs-parser (4.1.0-1) ... Setting up libpython3.6:i386 (3.6.3-1ubuntu1) ... Setting up node-path-exists (3.0.0-1) ... Setting up node-clone (2.1.1-1) ... Setting up node-lodash-compat (3.10.2-1) ... Setting up node-browserify-lite (0.5.0-1) ... Setting up libtool (2.4.6-2) ... Setting up node-spdx-expression-parse (1.0.4-1) ... Setting up libpython3-stdlib:i386 (3.6.3-2) ... Setting up libpython-dev:i386 (2.7.14-2ubuntu1) ... Setting up libfontconfig1:i386 (2.12.6-0ubuntu1) ... Setting up node-invert-kv (1.0.0-1) ... Setting up libsm6:i386 (2:1.2.2-1) ... Setting up node-pegjs (0.7.0-2) ... Setting up node-is-arrayish (0.3.1-1) ... Setting up node-is-builtin-module (1.0.0-1) ... Setting up node-lcid (1.0.0-1) ... Setting up libxcb-render0:i386 (1.12-1ubuntu1) ... Setting up node-hosted-git-info (2.1.5-1) ... Setting up node-defaults (1.0.3-1) ... Setting up libharfbuzz-icu0:i386 (1.6.2-1) ... Setting up node-is-stream (1.1.0-1) ... Setting up po-debconf (1.0.20) ... Setting up node-path-type (2.0.0-1) ... Setting up python-dev (2.7.14-2ubuntu1) ... Setting up node-which (1.2.11-1) ... Setting up node-lru-cache (4.0.2-1) ... Setting up libx11-6:i386 (2:1.6.4-3) ... Setting up python-pkg-resources (36.6.0-1) ... Setting up libpython3.6-dev:i386 (3.6.3-1ubuntu1) ... Setting up node-error-ex (1.3.0-1) ... Setting up python-numpy (1:1.13.1-1ubuntu1) ... Setting up node-validate-npm-package-license (3.0.1-1) ... Setting up python-six (1.11.0-1) ... Setting up node-cross-spawn-async (2.2.5-2) ... Setting up libxcb-shm0:i386 (1.12-1ubuntu1) ... Setting up libxpm4:i386 (1:3.5.12-1) ... Setting up libxt6:i386 (1:1.1.5-1) ... Setting up libxrender1:i386 (1:0.9.10-1) ... Setting up libavahi-client3:i386 (0.6.32-1ubuntu1) ... Setting up python-decorator (4.1.2-1) ... Setting up python3.6-dev (3.6.3-1ubuntu1) ... Setting up python-nose (1.3.7-3) ... Setting up libpoppler68:i386 (0.57.0-2ubuntu4) ... Setting up node-wcwidth.js (1.0.0-1) ... Setting up libcups2:i386 (2.2.6-2) ... Setting up node-find-up (2.0.0-1) ... Setting up libpython3-dev:i386 (3.6.3-2) ... Setting up node-normalize-package-data (2.3.5-2) ... Setting up python-setuptools (36.6.0-1) ... Setting up node-string-width (2.1.1-1) ... Setting up libxext6:i386 (2:1.3.3-1) ... Setting up python-scipy (0.19.1-1ubuntu1) ... Setting up node-parse-json (2.2.0-1) ... Setting up libgd3:i386 (2.2.5-4) ... Setting up libxmu6:i386 (2:1.1.2-2) ... Setting up node-cross-spawn (4.0.2-1) ... Setting up node-wrap-ansi (2.0.0-1) ... Setting up libcupsimage2:i386 (2.2.6-2) ... Setting up python-nose-parameterized (0.3.4-4) ... Setting up node-cliui (3.2.0-2) ... Setting up libgs9:i386 (9.21~dfsg+1-0ubuntu3) ... Setting up node-load-json-file (2.0.0-1) ... Setting up libxi6:i386 (2:1.7.9-1) ... Setting up libxaw7:i386 (2:1.0.13-1) ... Setting up libcairo2:i386 (1.15.8-2) ... Setting up node-execa (0.5.0-1) ... Setting up ghostscript (9.21~dfsg+1-0ubuntu3) ... Setting up node-os-locale (2.0.0-1) ... Setting up texlive-binaries (2017.20170613.44572-6) ... update-alternatives: using /usr/bin/xdvi-xaw to provide /usr/bin/xdvi.bin (xdvi.bin) in auto mode update-alternatives: using /usr/bin/bibtex.original to provide /usr/bin/bibtex (bibtex) in auto mode Setting up texlive-base (2017.20171031-1) ... /usr/bin/tl-paper: setting paper size for dvips to a4. /usr/bin/tl-paper: setting paper size for dvipdfmx to a4. /usr/bin/tl-paper: setting paper size for xdvi to a4. /usr/bin/tl-paper: setting paper size for pdftex to a4. Setting up texlive-latex-base (2017.20171031-1) ... Setting up node-read-pkg (2.0.0-1) ... Setting up texlive-latex-recommended (2017.20171031-1) ... Setting up node-read-pkg-up (2.0.0-1) ... Setting up texlive-pictures (2017.20171031-1) ... Setting up dvipng (1.15-0ubuntu1) ... Setting up node-yargs (6.4.0-2) ... Setting up texlive-latex-extra (2017.20171031-1) ... Setting up node-uglify (2.8.29-3) ... Processing triggers for sgml-base (1.29) ... Setting up docutils-common (0.14+dfsg-1) ... Processing triggers for sgml-base (1.29) ... Setting up dh-autoreconf (14) ... Setting up python3 (3.6.3-2) ... Setting up python3-numpy (1:1.13.1-1ubuntu1) ... Setting up python3-alabaster (0.7.8-1) ... Setting up python3-idna (2.5-1) ... Setting up python3-six (1.11.0-1) ... Setting up python3-dev (3.6.3-2) ... Setting up python3-certifi (2017.7.27.1-2) ... Setting up python3-pkg-resources (36.6.0-1) ... Setting up python3-markupsafe (1.0-1build1) ... Setting up dh-strip-nondeterminism (0.040-1) ... Setting up python3-nose (1.3.7-3) ... Setting up python3-chardet (3.0.4-1) ... Setting up python3-jinja2 (2.9.6-1) ... Setting up python3-urllib3 (1.21.1-1) ... Setting up python3-setuptools (36.6.0-1) ... Setting up dh-python (2.20170125) ... Setting up python3-decorator (4.1.2-1) ... Setting up python3-tz (2017.2-2) ... Setting up python3-pygments (2.2.0+dfsg-1) ... Setting up python3-sphinx-rtd-theme (0.2.4-1) ... Setting up debhelper (10.10.5ubuntu1) ... Setting up python3-roman (2.0.0-2) ... Setting up python3-scipy (0.19.1-1ubuntu1) ... Setting up python3-imagesize (0.7.1-1) ... Setting up python3-nose-parameterized (0.3.4-4) ... Setting up python3-babel (2.4.0+dfsg.1-2ubuntu1) ... update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode Setting up python3-docutils (0.14+dfsg-1) ... update-alternatives: using /usr/share/docutils/scripts/python3/rst-buildhtml to provide /usr/bin/rst-buildhtml (rst-buildhtml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2html to provide /usr/bin/rst2html (rst2html) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2html4 to provide /usr/bin/rst2html4 (rst2html4) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2html5 to provide /usr/bin/rst2html5 (rst2html5) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2latex to provide /usr/bin/rst2latex (rst2latex) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2man to provide /usr/bin/rst2man (rst2man) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2odt to provide /usr/bin/rst2odt (rst2odt) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2odt_prepstyles to provide /usr/bin/rst2odt_prepstyles (rst2odt_prepstyles) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2pseudoxml to provide /usr/bin/rst2pseudoxml (rst2pseudoxml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2s5 to provide /usr/bin/rst2s5 (rst2s5) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2xetex to provide /usr/bin/rst2xetex (rst2xetex) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rst2xml to provide /usr/bin/rst2xml (rst2xml) in auto mode update-alternatives: using /usr/share/docutils/scripts/python3/rstpep2html to provide /usr/bin/rstpep2html (rstpep2html) in auto mode Setting up python3-requests (2.18.1-1) ... Setting up python3-sphinx (1.6.5-2) ... Setting up sbuild-build-depends-theano-dummy (0.invalid.0) ... (Reading database ... 36451 files and directories currently installed.) Purging configuration files for pkg-create-dbgsym (0.73) ... Processing triggers for tex-common (6.09) ... Running updmap-sys. This may take some time... done. Running mktexlsr /var/lib/texmf ... done. Building format(s) --all. This may take some time... done. Processing triggers for libc-bin (2.26-0ubuntu2) ... 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libxcb-render0_1.12-1ubuntu1 libxcb-shm0_1.12-1ubuntu1 libxcb1_1.12-1ubuntu1 libxdmcp6_1:1.1.2-3 libxext6_2:1.3.3-1 libxi6_2:1.7.9-1 libxml2_2.9.4+dfsg1-5ubuntu1 libxmu6_2:1.1.2-2 libxpm4_1:3.5.12-1 libxrender1_1:0.9.10-1 libxt6_1:1.1.5-1 libzzip-0-13_0.13.62-3.1 linux-libc-dev_4.13.0-16.19 lockfile-progs_0.1.17build1 login_1:4.2-3.2ubuntu4 lsb-base_9.20160110ubuntu5 m4_1.4.18-1 make_4.1-9.1 man-db_2.7.6.1-2 mawk_1.3.3-17ubuntu2 mime-support_3.60ubuntu1 mount_2.30.1-0ubuntu4 multiarch-support_2.26-0ubuntu2 ncurses-base_6.0+20160625-1ubuntu1 ncurses-bin_6.0+20160625-1ubuntu1 node-ansi-regex_3.0.0-1 node-browserify-lite_0.5.0-1 node-builtin-modules_1.1.1-1 node-camelcase_3.0.0-1 node-cliui_3.2.0-2 node-clone_2.1.1-1 node-cross-spawn_4.0.2-1 node-cross-spawn-async_2.2.5-2 node-decamelize_1.2.0-1 node-defaults_1.0.3-1 node-error-ex_1.3.0-1 node-execa_0.5.0-1 node-find-up_2.0.0-1 node-get-caller-file_1.0.2-1 node-get-stream_3.0.0-1 node-graceful-fs_4.1.11-1 node-hosted-git-info_2.1.5-1 node-invert-kv_1.0.0-1 node-is-arrayish_0.3.1-1 node-is-builtin-module_1.0.0-1 node-is-stream_1.1.0-1 node-isexe_2.0.0-3 node-lcid_1.0.0-1 node-load-json-file_2.0.0-1 node-lodash-compat_3.10.2-1 node-lru-cache_4.0.2-1 node-mem_1.1.0-1 node-mimic-fn_1.1.0-1 node-normalize-package-data_2.3.5-2 node-npm-run-path_2.0.2-1 node-os-locale_2.0.0-1 node-parse-json_2.2.0-1 node-path-exists_3.0.0-1 node-path-type_2.0.0-1 node-pegjs_0.7.0-2 node-pend_1.2.0-1 node-pify_3.0.0-1 node-pseudomap_1.0.2-1 node-read-pkg_2.0.0-1 node-read-pkg-up_2.0.0-1 node-require-directory_2.1.1-1 node-require-main-filename_1.0.1-1 node-semver_5.4.1-1 node-set-blocking_2.0.0-1 node-signal-exit_3.0.2-1 node-spdx-correct_1.0.2-1 node-spdx-expression-parse_1.0.4-1 node-spdx-license-ids_1.2.2-1 node-string-width_2.1.1-1 node-strip-ansi_4.0.0-1 node-strip-bom_3.0.0-1 node-strip-eof_1.0.0-2 node-uglify_2.8.29-3 node-validate-npm-package-license_3.0.1-1 node-wcwidth.js_1.0.0-1 node-which_1.2.11-1 node-which-module_1.0.0-1 node-wrap-ansi_2.0.0-1 node-y18n_3.2.1-2 node-yallist_2.0.0-1 node-yargs_6.4.0-2 node-yargs-parser_4.1.0-1 nodejs_6.11.4~dfsg-1ubuntu2 openssl_1.0.2g-1ubuntu13 optipng_0.7.6-1build1 passwd_1:4.2-3.2ubuntu4 patch_2.7.5-1build1 perl_5.26.1-2ubuntu1 perl-base_5.26.1-2ubuntu1 perl-modules-5.26_5.26.1-2ubuntu1 pinentry-curses_1.0.0-3 pkgbinarymangler_131 po-debconf_1.0.20 policyrcd-script-zg2_0.1-3 poppler-data_0.4.8-2 preview-latex-style_11.90-2ubuntu1 procps_2:3.3.12-1ubuntu2 python_2.7.14-2ubuntu1 python-babel-localedata_2.4.0+dfsg.1-2ubuntu1 python-decorator_4.1.2-1 python-dev_2.7.14-2ubuntu1 python-minimal_2.7.14-2ubuntu1 python-nose_1.3.7-3 python-nose-parameterized_0.3.4-4 python-numpy_1:1.13.1-1ubuntu1 python-pkg-resources_36.6.0-1 python-scipy_0.19.1-1ubuntu1 python-setuptools_36.6.0-1 python-six_1.11.0-1 python2.7_2.7.14-2ubuntu2 python2.7-dev_2.7.14-2ubuntu2 python2.7-minimal_2.7.14-2ubuntu2 python3_3.6.3-2 python3-alabaster_0.7.8-1 python3-babel_2.4.0+dfsg.1-2ubuntu1 python3-certifi_2017.7.27.1-2 python3-chardet_3.0.4-1 python3-decorator_4.1.2-1 python3-dev_3.6.3-2 python3-docutils_0.14+dfsg-1 python3-idna_2.5-1 python3-imagesize_0.7.1-1 python3-jinja2_2.9.6-1 python3-markupsafe_1.0-1build1 python3-minimal_3.6.3-2 python3-nose_1.3.7-3 python3-nose-parameterized_0.3.4-4 python3-numpy_1:1.13.1-1ubuntu1 python3-pkg-resources_36.6.0-1 python3-pygments_2.2.0+dfsg-1 python3-requests_2.18.1-1 python3-roman_2.0.0-2 python3-scipy_0.19.1-1ubuntu1 python3-setuptools_36.6.0-1 python3-six_1.11.0-1 python3-sphinx_1.6.5-2 python3-sphinx-rtd-theme_0.2.4-1 python3-tz_2017.2-2 python3-urllib3_1.21.1-1 python3.6_3.6.3-1ubuntu1 python3.6-dev_3.6.3-1ubuntu1 python3.6-minimal_3.6.3-1ubuntu1 rdfind_1.3.5-1 readline-common_7.0-0ubuntu2 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-theano-dummy_0.invalid.0 sed_4.4-1 sensible-utils_0.0.10 sgml-base_1.29 sphinx-common_1.6.5-2 sphinx-rtd-theme-common_0.2.4-1 symlinks_1.4-3 systemd_235-2ubuntu1 systemd-sysv_235-2ubuntu1 sysv-rc_2.88dsf-59.3ubuntu2 sysvinit-utils_2.88dsf-59.10ubuntu1 t1utils_1.41-1 tar_1.29b-2 tex-common_6.09 texlive-base_2017.20171031-1 texlive-binaries_2017.20170613.44572-6 texlive-latex-base_2017.20171031-1 texlive-latex-extra_2017.20171031-1 texlive-latex-recommended_2017.20171031-1 texlive-pictures_2017.20171031-1 tzdata_2017c-1 ubuntu-keyring_2016.10.27 ucf_3.0036 util-linux_2.30.1-0ubuntu4 window-size_0.2.0-1 x11-common_1:7.7+19ubuntu3 xdg-utils_1.1.1-1ubuntu3 xml-core_0.18 xz-utils_5.2.2-1.3 zlib1g_1:1.2.11.dfsg-0ubuntu2 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Sat Oct 14 08:14:23 2017 UTC gpgv: using RSA key gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./theano_0.9.0+dfsg-1.dsc dpkg-source: info: extracting theano in theano-0.9.0+dfsg dpkg-source: info: unpacking theano_0.9.0+dfsg.orig.tar.gz dpkg-source: info: unpacking theano_0.9.0+dfsg-1.debian.tar.xz dpkg-source: info: applying disable-overly-environment-dependent-test.patch dpkg-source: info: applying strip-docs.patch dpkg-source: info: applying linkcode.patch dpkg-source: info: applying old-nose-parameterized.patch Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-13663725 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-13663725 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-13663725 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- dpkg-buildpackage: info: source package theano dpkg-buildpackage: info: source version 0.9.0+dfsg-1 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build theano-0.9.0+dfsg dpkg-buildpackage: info: host architecture i386 dpkg-source: info: using options from theano-0.9.0+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/ fakeroot debian/rules clean dh clean --with python2,python3,sphinxdoc --buildsystem=pybuild debian/rules override_dh_auto_clean make[1]: Entering directory '/<>/theano-0.9.0+dfsg' rm -rf theano/d3viz/js/*.min.js doc/library/d3viz/examples/d3viz/js/*.min.js debian/missing-source/*.js debian/missing-source/lodash debian/missing-source/graphlib-dot/bower.json debian/missing-source/graphlib-dot/lib/dot-grammar.js debian/missing-source/graphlib-dot/lib/version.js debian/missing-source/graphlib-dot/dist doc/.pybuild Theano.egg-info make -C debian/missing-source/graphlib-dot clean make[2]: Entering directory '/<>/theano-0.9.0+dfsg/debian/missing-source/graphlib-dot' rm -rf build make[2]: Leaving directory '/<>/theano-0.9.0+dfsg/debian/missing-source/graphlib-dot' dh_auto_clean I: pybuild base:184: python2.7 setup.py clean running clean removing '/<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build' (and everything under it) 'build/bdist.linux-i386' does not exist -- can't clean it 'build/scripts-2.7' does not exist -- can't clean it I: pybuild base:184: python3.6 setup.py clean running clean removing '/<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build' (and everything under it) 'build/bdist.linux-i386' does not exist -- can't clean it 'build/scripts-3.6' does not exist -- can't clean it make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules build-arch dh build-arch --with python2,python3,sphinxdoc --buildsystem=pybuild dh_update_autotools_config -a -O--buildsystem=pybuild dh_autoreconf -a -O--buildsystem=pybuild dh_auto_configure -a -O--buildsystem=pybuild I: pybuild base:184: python2.7 setup.py config running config I: pybuild base:184: python3.6 setup.py config running config debian/rules override_dh_auto_build make[1]: Entering directory '/<>/theano-0.9.0+dfsg' ln -s /usr/lib/nodejs/lodash-compat debian/missing-source/lodash #graphlib-dot.js make -C debian/missing-source/graphlib-dot --always-make dist make[2]: Entering directory '/<>/theano-0.9.0+dfsg/debian/missing-source/graphlib-dot' pegjs -e 'module.exports' src/dot-grammar.pegjs lib/dot-grammar.js cp build/graphlib-dot.js build/graphlib-dot.min.js dist make[2]: Leaving directory '/<>/theano-0.9.0+dfsg/debian/missing-source/graphlib-dot' cp debian/missing-source/graphlib-dot/dist/graphlib-dot.min.js theano/d3viz/js #dagre-d3.js browserify-lite ./debian/missing-source/dagre-d3/index.js --outfile debian/missing-source/dagre-d3.js --standalone dagreD3 uglifyjs debian/missing-source/dagre-d3.js --comments '@license' -o theano/d3viz/js/dagre-d3.min.js #d3 - workaround for #745688 uglifyjs /usr/share/javascript/d3/d3.js -m -c --comments '@license' -o theano/d3viz/js/d3.v3.min.js cp theano/d3viz/js/*.min.js doc/library/d3viz/examples/d3viz/js #theano itself doesn't need a build as such make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' debian/rules override_dh_auto_test make[1]: Entering directory '/<>/theano-0.9.0+dfsg' PYBUILD_SYSTEM=custom PYBUILD_TEST_ARGS='PYTHONPATH=. {interpreter} bin/theano-nose -v' dh_auto_test I: pybuild base:184: PYTHONPATH=. python2.7 bin/theano-nose -v /<>/theano-0.9.0+dfsg/theano/misc/pycuda_init.py:35: UserWarning: PyCUDA import failed in theano.misc.pycuda_init warnings.warn("PyCUDA import failed in theano.misc.pycuda_init") /<>/theano-0.9.0+dfsg/theano/sandbox/gpuarray/__init__.py:10: UserWarning: theano.sandbox.gpuarray has been moved to theano.gpuarray. Please update your code and pickles. If the warning persists, clear theano's cache ('$theano/bin/theano-cache clear'). warnings.warn(message) test_connection_pattern_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_connection_pattern_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_infer_shape (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_nested_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_nested_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_size_changes_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_size_changes_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_straightforward_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_straightforward_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_aliased_outputs_bad (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_aliased_outputs_ok (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_aliased_outputs_ok_output (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_aliased_outputs_ok_shadow (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_badviewmap_c (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_badviewmap_ref (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_badviewmap_slice (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_goodviewmap (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_check_isfinite (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok test_check_isfinite_disabled (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok test_f_contiguous (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok test_f_contiguous_out (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok test_output_broadcast_cuda (theano.compile.tests.test_debugmode.Test_preallocated_output) ... SKIP: Optional package Cuda disabled test_output_broadcast_tensor (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok theano.compile.tests.test_debugmode.test0 ... ok theano.compile.tests.test_debugmode.test_badthunkoutput ... ok theano.compile.tests.test_debugmode.test_badoptimization ... ok This variant of test_badoptimization() replace the working code ... ok theano.compile.tests.test_debugmode.test_stochasticoptimization ... ok theano.compile.tests.test_debugmode.test_just_c_code ... ok theano.compile.tests.test_debugmode.test_baddestroymap ... ok theano.compile.tests.test_debugmode.test_baddestroymap_c ... ok test_explicit_shared_input (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_allow_downcast_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_allow_downcast_int (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_allow_downcast_vector_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_mutable (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_shared_variable (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_strict (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_update (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_update_shared (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_update_wrong_dtype (theano.compile.tests.test_function.TestFunctionIn) ... ok theano.compile.tests.test_function.test_function_dump ... ok Tests that the contract for io.In is respected. When borrow=False, it should be ... ok test_borrow_output (theano.compile.tests.test_function_module.T_function) ... ok test_constant_output (theano.compile.tests.test_function_module.T_function) ... ok test_copy (theano.compile.tests.test_function_module.T_function) ... ok test_copy_delete_updates (theano.compile.tests.test_function_module.T_function) ... ok test_copy_share_memory (theano.compile.tests.test_function_module.T_function) ... ok Check that default values are restored ... ok test_disconnected_input (theano.compile.tests.test_function_module.T_function) ... ok test_empty (theano.compile.tests.test_function_module.T_function) ... ok test_extra_inputs (theano.compile.tests.test_function_module.T_function) ... ok Make test on free() function ... ok Ensure error is raised when trying to replace an input variable. ... ok test_input_anon_singleton (theano.compile.tests.test_function_module.T_function) ... ok test_input_anon_unpack (theano.compile.tests.test_function_module.T_function) ... ok test_masked_input (theano.compile.tests.test_function_module.T_function) ... ok test_missing_inputs (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule0 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule1 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule2 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule3 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule4 (theano.compile.tests.test_function_module.T_function) ... ok test_none (theano.compile.tests.test_function_module.T_function) ... SKIP: See #254: Using None as function output leads to [] return value test_same_names (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state0 (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state1 (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state2 (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state_not_implicit (theano.compile.tests.test_function_module.T_function) ... ok test_state_access (theano.compile.tests.test_function_module.T_function) ... ok test_swap_SharedVariable (theano.compile.tests.test_function_module.T_function) ... ok A special testcase for logistic_sgd.py in Deep Learning Tutorial ... ok test_weird_names (theano.compile.tests.test_function_module.T_function) ... ok test_broken_pickle_with_shared (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_deepcopy (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_deepcopy_shared_container (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_multiple_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_optimizations_preserved (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_pickle (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_pickle_class_with_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok Regression test for bug fixed in 8625e03. ... ok test_function_name (theano.compile.tests.test_function_name.FunctionName) ... ok test_nnet (theano.compile.tests.test_misc.TestNnet) ... ok theano.compile.tests.test_mode.test_no_output_from_implace ... ok theano.compile.tests.test_mode.test_including ... ok test1 (theano.compile.tests.test_modes.T_bunch_of_modes) ... ok test_1 (theano.compile.tests.test_modes.T_old_problem) ... ok Test the code snippet example that detects NaN values. ... ok Test that we can remove optimizer ... ok Test that we can remove optimizers including inplace optimizers ... ok theano.compile.tests.test_nanguardmode.test_NanGuardMode ... /<>/theano-0.9.0+dfsg/theano/compile/nanguardmode.py:168: RuntimeWarning: All-NaN slice encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) /<>/theano-0.9.0+dfsg/theano/compile/nanguardmode.py:168: RuntimeWarning: All-NaN axis encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) ok test_1arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok test_2arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok test_infer_shape (theano.compile.tests.test_ops.OpDecoratorTests) ... ok test_pickle (theano.compile.tests.test_ops.OpDecoratorTests) ... ok theano.compile.tests.test_ops.test_shape_i_hash ... ok test_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_0 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_1 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_2 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_2b (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_partial_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_potential_output_aliasing_induced_by_updates (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_shared_constructor_copies (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_sparse_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_allow_input_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_clone0 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_scalar_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_chained (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_expressions (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_multiple (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_partial_graph (theano.compile.tests.test_pfunc.Test_pfunc) ... ok Ensure the code given in pfunc.txt works as expected ... ok test_duplicate_inputs (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_duplicate_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_givens (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_givens_replaces_shared_variable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_givens_replaces_shared_variable2 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_no_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok Test that shared variables cannot be used as function inputs. ... ok test_param_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_allow_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_allow_downcast_vector_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_strict (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_shared (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_shared_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok Test update mechanism in different settings. ... ok test_update_equiv (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_update_err_broadcast (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_update_same (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test1 (theano.compile.tests.test_pfunc.Test_rebuild_strict) ... ok test_ifelse (theano.compile.tests.test_profiling.Test_profiling) ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:851: UserWarning: CVM does not support memory profile, using Stack VM. 'CVM does not support memory profile, using Stack VM.') ok test_profiling (theano.compile.tests.test_profiling.Test_profiling) ... ok test_create_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_ctors (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_err_symbolic_variable (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_scalar_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_scalar_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_strict_generic (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_tensor_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_tensor_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_use_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok Failure: SkipTest (pydot not available: Install the python package pydot or pydot-ng. Install graphviz.) ... SKIP: pydot not available: Install the python package pydot or pydot-ng. Install graphviz. Failure: SkipTest (pydot not available: Install the python package pydot or pydot-ng. Install graphviz.) ... SKIP: pydot not available: Install the python package pydot or pydot-ng. Install graphviz. theano.gof.tests.test_cc.test_clinker_straightforward ... ok theano.gof.tests.test_cc.test_clinker_literal_inlining ... ok theano.gof.tests.test_cc.test_clinker_literal_cache ... ok theano.gof.tests.test_cc.test_clinker_single_node ... ok theano.gof.tests.test_cc.test_clinker_dups ... ok theano.gof.tests.test_cc.test_clinker_not_used_inputs ... ok theano.gof.tests.test_cc.test_clinker_dups_inner ... ok theano.gof.tests.test_cc.test_opwiseclinker_straightforward ... ok theano.gof.tests.test_cc.test_opwiseclinker_constant ... ok theano.gof.tests.test_cc.test_duallinker_straightforward ... ok theano.gof.tests.test_cc.test_duallinker_mismatch ... ok theano.gof.tests.test_cc.test_c_fail_error ... ok theano.gof.tests.test_cc.test_shared_input_output ... ok When an op with c_code, but no version. If we have 2 apply node ... ok theano.gof.tests.test_cmodule.test_flag_detection ... ok theano.gof.tests.test_compiledir.test_short_platform ... ok test_compute_flag (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_constant (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_disabled_during_compilation (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_empty_elemwise (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_incorrect_type (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_ndarray (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_no_c_code (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_no_perform (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_overided_function (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok Test the compute_test_value mechanism Scan. ... ok test_scan_err1 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_scan_err2 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_shared (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_string_var (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_variable_only (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok theano.gof.tests.test_destroyhandler.test_misc ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs_replacement ... ok theano.gof.tests.test_destroyhandler.test_indestructible ... ok theano.gof.tests.test_destroyhandler.test_usage_loop_through_views_2 ... ok theano.gof.tests.test_destroyhandler.test_destroyers_loop ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs2 ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate2 ... ok theano.gof.tests.test_destroyhandler.test_same_aliased_inputs_ignored ... ok theano.gof.tests.test_destroyhandler.test_different_aliased_inputs_ignored ... ok theano.gof.tests.test_destroyhandler.test_indestructible_through_views ... ok theano.gof.tests.test_destroyhandler.test_indirect ... ok theano.gof.tests.test_destroyhandler.test_indirect_2 ... ok theano.gof.tests.test_destroyhandler.test_long_destroyers_loop ... ok theano.gof.tests.test_destroyhandler.test_misc_2 ... ok theano.gof.tests.test_destroyhandler.test_multi_destroyers ... ok theano.gof.tests.test_destroyhandler.test_multi_destroyers_through_views ... ok theano.gof.tests.test_destroyhandler.test_repair_destroy_path ... ok theano.gof.tests.test_destroyhandler.test_usage_loop ... ok theano.gof.tests.test_destroyhandler.test_usage_loop_through_views ... ok theano.gof.tests.test_destroyhandler.test_usage_loop_insert_views ... ok theano.gof.tests.test_destroyhandler.test_value_repl ... ok theano.gof.tests.test_destroyhandler.test_value_repl_2 ... ok theano.gof.tests.test_destroyhandler.test_multiple_inplace ... ok test_clone (theano.gof.tests.test_fg.TFunctionGraph) ... ok test_constant_cache_error (theano.gof.tests.test_fg.TFunctionGraph) ... ok test_node_outputs_not_used (theano.gof.tests.test_fg.TFunctionGraph) ... ok test_pickle (theano.gof.tests.test_fg.TFunctionGraph) ... ok theano.gof.tests.test_graph.TestAutoName.test_auto_name ... ok theano.gof.tests.test_graph.TestAutoName.test_clone ... ok theano.gof.tests.test_graph.TestAutoName.test_constant ... ok theano.gof.tests.test_graph.TestAutoName.test_cudandarrayvariable ... ok theano.gof.tests.test_graph.TestAutoName.test_randomvariable ... ok theano.gof.tests.test_graph.TestAutoName.test_sparsevariable ... ok theano.gof.tests.test_graph.TestAutoName.test_tensorvariable ... ok theano.gof.tests.test_graph.TestClone.test_accurate ... ok theano.gof.tests.test_graph.TestClone.test_copy ... ok theano.gof.tests.test_graph.TestClone.test_not_destructive ... ok test_eval (theano.gof.tests.test_graph.TestEval) ... ok theano.gof.tests.test_graph.TestInputs.test_inputs ... ok theano.gof.tests.test_graph.TestInputs.test_inputs_deep ... ok Test `is_same_graph` with more complex graphs. ... ok Test `is_same_graph` when `equal_computations` cannot be used. ... ok Test `is_same_graph` with some trivial graphs (one Variable). ... ok theano.gof.tests.test_graph.TestStr.test_as_string ... ok theano.gof.tests.test_graph.TestStr.test_as_string_deep ... ok theano.gof.tests.test_graph.TestStr.test_cutoff ... ok theano.gof.tests.test_graph.TestStr.test_multiple_references ... ok Test a simple graph ... ok Test a graph with double dependencies ... ok Test a graph where the inputs have owners ... ok Test a graph which is not connected ... ok Test inputs and outputs mixed together in a chain graph ... ok Test when outputs have clients ... ok theano.gof.tests.test_graph_opt_caching.test_graph_opt_caching ... rm: cannot remove '/<>/theano-0.9.0+dfsg/.pybuild/compiledir_Linux-4.4--generic-i686-athlon-with-Ubuntu-18.04-bionic-athlon-2.7.14-32/optimized_graphs.pkl': No such file or directory ok theano.gof.tests.test_lazy.test_ifelse ... ok theano.gof.tests.test_lazy.more_complex_test ... ok test_constant (theano.gof.tests.test_link.TestPerformLinker) ... ok test_function (theano.gof.tests.test_link.TestPerformLinker) ... ok test_input_dependency0 (theano.gof.tests.test_link.TestPerformLinker) ... ok test_input_output_same (theano.gof.tests.test_link.TestPerformLinker) ... ok test_skiphole (theano.gof.tests.test_link.TestPerformLinker) ... ok test_thunk (theano.gof.tests.test_link.TestPerformLinker) ... ok test_0 (theano.gof.tests.test_link.TestWrapLinker) ... ok test_1 (theano.gof.tests.test_link.TestWrapLinker) ... ok theano.gof.tests.test_link.test_sort_schedule_fn ... ok This is a test to a work around a NumPy bug. ... ok test_no_c_code (theano.gof.tests.test_op.TestMakeThunk) ... ok test_no_make_node (theano.gof.tests.test_op.TestMakeThunk) ... ok test_no_perform (theano.gof.tests.test_op.TestMakeThunk) ... ok theano.gof.tests.test_op.TestOp.test_op_no_input ... ok theano.gof.tests.test_op.TestOp.test_op_struct ... ok theano.gof.tests.test_op.TestOp.test_sanity_0 ... ok theano.gof.tests.test_op.TestOp.test_validate ... ok theano.gof.tests.test_op.test_test_value_python_objects ... ok theano.gof.tests.test_op.test_test_value_ndarray ... ok theano.gof.tests.test_op.test_test_value_constant ... ok theano.gof.tests.test_op.test_test_value_shared ... ok theano.gof.tests.test_op.test_test_value_op ... ok get_debug_values should return [] when debugger is off ... ok get_debug_values should return [] when debugger is ignore ... ok tests that get_debug_value returns values when available ... ok tests that get_debug_value raises an exception when ... ok tests that debug_error_message raises an ... ok theano.gof.tests.test_opt.TestEquilibrium.test_1 ... ok theano.gof.tests.test_opt.TestEquilibrium.test_2 ... ok theano.gof.tests.test_opt.TestEquilibrium.test_low_use_ratio ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_both_assert_merge_identical ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_constant_merging ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_deep_merge ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_identical_constant_args ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_noinput ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_outputs ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_multiple_merges ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_no_merge ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_straightforward ... ok theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward ... ok theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward_2 ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_ambiguous ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_constant_unification ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_constraints ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_eq ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_expand ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same_illegal ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_multi ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_multiple ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_even ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_odd ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_out_pattern ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_no_recurse ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_output ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_subgraph ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_1 ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_2 ... ok theano.gof.tests.test_opt.test_pre_constant_merge_slice ... ok test_0 (theano.gof.tests.test_optdb.Test_DB) ... ok theano.gof.tests.test_sched.test_dependence ... ok theano.gof.tests.test_sched.test_sort_apply_nodes ... ok theano.gof.tests.test_sched.test_reverse_dict ... ok theano.gof.tests.test_sched.test__toposort ... ok theano.gof.tests.test_sched.test_posort_easy ... ok theano.gof.tests.test_sched.test_posort ... ok theano.gof.tests.test_toolbox.TestNodeFinder.test_straightforward ... ok theano.gof.tests.test_types.test_cdata ... ok theano.gof.tests.test_utils.test_give_variables_names ... ok theano.gof.tests.test_utils.test_give_variables_names_idempotence ... ok theano.gof.tests.test_utils.test_give_variables_names_small ... ok theano.gof.tests.test_utils.test_remove ... ok theano.gof.tests.test_utils.test_stack_trace ... ok test_callback (theano.gof.tests.test_vm.TestCallbacks) ... ok test_callback_with_ifelse (theano.gof.tests.test_vm.TestCallbacks) ... ok theano.gof.tests.test_vm.test_c_thunks ... ok theano.gof.tests.test_vm.test_speed ... ok theano.gof.tests.test_vm.test_speed_lazy ... ok theano.gof.tests.test_vm.test_partial_function ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:854: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok theano.gof.tests.test_vm.test_partial_function_with_output_keys ... ok theano.gof.tests.test_vm.test_partial_function_with_updates ... ok theano.gof.tests.test_vm.test_allow_gc_cvm ... ok This already caused a bug in the trunk of Theano. ... ok theano.gof.tests.test_vm.test_reallocation ... ok Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag1 ... ok theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag2 ... /<>/theano-0.9.0+dfsg/theano/gpuarray/type.py:829: UserWarning: config.experimental.unpickle_gpu_on_cpu is set to True. Unpickling GpuArray as numpy.ndarray "config.experimental.unpickle_gpu_on_cpu is set to True. " ok Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (gnumpy not installed. Skip test of theano op with pycuda code.) ... SKIP: gnumpy not installed. Skip test of theano op with pycuda code. Failure: SkipTest (gnumpy not installed. Skip test related to it.) ... SKIP: gnumpy not installed. Skip test related to it. theano.misc.tests.test_may_share_memory.test_may_share_memory ... ok theano.misc.tests.test_may_share_memory.test_may_share_memory_scipy ... ok test_dump_load (theano.misc.tests.test_pkl_utils.T_dump_load) ... SKIP: Optional package cuda disabled test_dump_load_mrg (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok test_dump_zip_names (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok test0 (theano.misc.tests.test_pkl_utils.TestStripPickler) ... ok Failure: SkipTest (Pycuda not installed. Skip test of theano op with pycuda code.) ... SKIP: Pycuda not installed. Skip test of theano op with pycuda code. Failure: SkipTest (Pycuda not installed. We skip tests of Theano Ops with pycuda code.) ... SKIP: Pycuda not installed. We skip tests of Theano Ops with pycuda code. Failure: SkipTest (Pycuda not installed. Skip test of theano op with pycuda code.) ... SKIP: Pycuda not installed. Skip test of theano op with pycuda code. Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda not available) ... SKIP: Optional package cuda not available Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda not available) ... SKIP: Optional package cuda not available Failure: SkipTest (Optional package cuda not available) ... SKIP: Optional package cuda not available Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled theano.sandbox.cuda.tests.test_viewop.test_viewop_gpu ... SKIP: Optional package cuda disabled theano.sandbox.linalg.tests.test_linalg.test_rop_lop ... ok theano.sandbox.linalg.tests.test_linalg.test_spectral_radius_bound ... ok theano.sandbox.linalg.tests.test_linalg.test_transinv_to_invtrans ... ok theano.sandbox.linalg.tests.test_linalg.test_tag_solve_triangular ... ok theano.sandbox.linalg.tests.test_linalg.test_matrix_inverse_solve ... ok theano.sandbox.tests.test_multinomial.test_n_samples_1 ... ok theano.sandbox.tests.test_multinomial.test_n_samples_2 ... ok This test checks if the new change to MultinomialFromUniform is still compatible ... ok theano.sandbox.tests.test_multinomial.test_multinomial_0 ... ok theano.sandbox.tests.test_multinomial.test_multinomial_large ... ok theano.sandbox.tests.test_multinomial.test_multinomial_dtypes ... ok theano.sandbox.tests.test_multinomial.test_gpu_opt ... SKIP: Optional package cuda not available Tests that MultinomialWOReplacementFromUniform fails when asked to sample more ... ok Tests that MultinomialWOReplacementFromUniform always selects distinct elements ... ok Tests that MultinomialWOReplacementFromUniform selects elements, on average, ... ok Tests that multinomial_wo_replacement fails when asked to sample more ... /<>/theano-0.9.0+dfsg/theano/sandbox/rng_mrg.py:1522: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' ok Tests that multinomial_wo_replacement always selects distinct elements ... ok Tests that multinomial_wo_replacement selects elements, on average, ... ok Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed test_straightforward (theano.scalar.tests.test_basic.test_ScalarOps) ... ok test_fail (theano.scalar.tests.test_basic.test_complex_mod) ... ok test_composite_clone_float32 (theano.scalar.tests.test_basic.test_composite) ... ok test_composite_printing (theano.scalar.tests.test_basic.test_composite) ... ok test_flatten (theano.scalar.tests.test_basic.test_composite) ... ok test_make_node_continue_graph (theano.scalar.tests.test_basic.test_composite) ... ok test_many_outputs (theano.scalar.tests.test_basic.test_composite) ... ok test_straightforward (theano.scalar.tests.test_basic.test_composite) ... ok test_with_constants (theano.scalar.tests.test_basic.test_composite) ... ok test_0 (theano.scalar.tests.test_basic.test_div) ... ok test_and (theano.scalar.tests.test_basic.test_logical) ... ok test_eq (theano.scalar.tests.test_basic.test_logical) ... ok test_ge (theano.scalar.tests.test_basic.test_logical) ... ok test_gt (theano.scalar.tests.test_basic.test_logical) ... ok test_le (theano.scalar.tests.test_basic.test_logical) ... ok test_lt (theano.scalar.tests.test_basic.test_logical) ... ok test_neq (theano.scalar.tests.test_basic.test_logical) ... ok test_not (theano.scalar.tests.test_basic.test_logical) ... ok test_or (theano.scalar.tests.test_basic.test_logical) ... ok test_xor (theano.scalar.tests.test_basic.test_logical) ... ok test_arctan2 ... ok theano.scalar.tests.test_basic.test_upgrade_to_float.test_true_div ... ok test_inv ... ok test_sqrt ... ok test_log ... ok test_log2 ... ok test_log10 ... ok test_log1p ... ok test_exp ... ok test_exp2 ... ok test_expm1 ... ok test_deg2rad ... ok test_rad2deg ... ok test_cos ... ok test_arccos ... ok test_cosh ... ok test_arccosh ... ok test_sin ... ok test_arcsin ... ok test_sinh ... ok test_arcsinh ... ok test_tan ... ok test_arctan ... ok test_tanh ... ok test_arctanh ... ok theano.scalar.tests.test_basic.test_grad_gt ... ok theano.scalar.tests.test_basic.test_grad_switch ... ok theano.scalar.tests.test_basic.test_grad_identity ... ok theano.scalar.tests.test_basic.test_grad_inrange ... ok theano.scalar.tests.test_basic.test_grad_abs ... ok theano.scalar.tests.test_basic.test_constant ... ok Failure: SkipTest (optional package sympy disabled) ... SKIP: optional package sympy disabled test_divide_floats (theano.scalar.tests.test_div_future.test_FutureDiv) ... ok test_divide_floats (theano.scalar.tests.test_div_no_future.test_FutureDiv) ... ok test_alloc_inputs1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_alloc_inputs2 (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: This tests depends on an optimization for scan that has not been implemented yet. test_alloc_inputs3 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok test_borrow_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok test_bugFunctioProvidesIntermediateNodesAsInputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_clone (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_no_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_no_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_not_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_not_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_computing_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok Test connection_pattern() in the presence of recurrent outputs ... ok test_connection_pattern2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_crash_nonseq_grad (theano.scan_module.tests.test_scan.T_Scan) ... ok test_disconnected_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok test_disconnected_gradient2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_disconnected_gradient3 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_dot_optimization (theano.scan_module.tests.test_scan.T_Scan) ... ok test_draw_as_input_to_scan (theano.scan_module.tests.test_scan.T_Scan) ... ok test_eliminate_nonseqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_eliminate_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_foldl_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok test_foldr_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok test_generator_one_output_scalar (theano.scan_module.tests.test_scan.T_Scan) ... ok test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_bug_disconnected_input (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_connectivity_matrix (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_dtype_change (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_duplicate_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_duplicate_outputs_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_find_input (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_grad_mitsot_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_disconnected (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_disconnected_2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_truncate (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_uncomputable (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... . . . ok test_grad_multiple_outs_taps_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_seqs_different_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_taps_state (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_numeric_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_of_grad_of_state (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_of_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_one_output (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... ok test_hash (theano.scan_module.tests.test_scan.T_Scan) ... ok test_hessian_bug_grad_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... . ok test_infer_shape (theano.scan_module.tests.test_scan.T_Scan) ... ok test_infer_shape2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_infershape_nsteps_smaller_seq_length (theano.scan_module.tests.test_scan.T_Scan) ... ok test_infershape_seq_shorter_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: This is a generic problem with infershape that has to be discussed and figured out test_inner_storage_leak (theano.scan_module.tests.test_scan.T_Scan) ... ok test_inplace1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_inplace2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_inplace3 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_map (theano.scan_module.tests.test_scan.T_Scan) ... ok test_map_functionality (theano.scan_module.tests.test_scan.T_Scan) ... ok test_memory_aliasing_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok test_memory_reuse_with_outputs_as_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_merge (theano.scan_module.tests.test_scan.T_Scan) ... ok test_merge_3scans (theano.scan_module.tests.test_scan.T_Scan) ... ok test_monitor_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok test_multiple_inputs_multiple_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_oinp_iinp_iout_oout_mappings (theano.scan_module.tests.test_scan.T_Scan) ... ok test_one_sequence_one_output_weights (theano.scan_module.tests.test_scan.T_Scan) ... ok test_one_sequence_one_output_weights_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_only_nonseq_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_only_shared_no_input_no_output (theano.scan_module.tests.test_scan.T_Scan) ... ok Verify that scan optimizations are applied before blas ... ok test_outputs_info_not_typed (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: Skipping test: test_outputs_info_not_typed: This test fails because not typed outputs_info are always gived the smallest dtype. There is no upcast of outputs_info in scan for now. test_past_future_taps_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pickling (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pregreedy_optimizer (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_all (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_dot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_nomodif (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_nonseq (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_seqs2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_while (theano.scan_module.tests.test_scan.T_Scan) ... ok test_reduce (theano.scan_module.tests.test_scan.T_Scan) ... ok test_reduce_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok test_remove_constants_and_unused_inputs_scan_non_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_remove_constants_and_unused_inputs_scan_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_remove_stuff (theano.scan_module.tests.test_scan.T_Scan) ... ok test_reordering (theano.scan_module.tests.test_scan.T_Scan) ... ok test_return_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_rop (theano.scan_module.tests.test_scan.T_Scan) ... ok test_rop2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_rop_mitmot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_same (theano.scan_module.tests.test_scan.T_Scan) ... ok test_save_mem (theano.scan_module.tests.test_scan.T_Scan) ... ok test_save_mem_reduced_number_of_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_save_mem_store_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_savemem_does_not_duplicate_number_of_scan_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok test_savemem_opt (theano.scan_module.tests.test_scan.T_Scan) ... ok test_savemem_opt_0_step (theano.scan_module.tests.test_scan.T_Scan) ... ok Bug reported by cityhall on scan when computing the gradients ... ok test_scan_extra_inputs_hessian (theano.scan_module.tests.test_scan.T_Scan) ... ok test_scan_merge_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok Scan outputs are usually lists, whose entries correspond to the ... ok test_seq_tap_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok test_sequence_dict (theano.scan_module.tests.test_scan.T_Scan) ... ok test_shared_arguments_with_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok test_shared_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok test_simple_shared_mrg_random (theano.scan_module.tests.test_scan.T_Scan) ... ok test_simple_shared_random (theano.scan_module.tests.test_scan.T_Scan) ... ok test_strict_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok test_strict_mode_ex (theano.scan_module.tests.test_scan.T_Scan) ... ok test_subtensor_multiple_slices (theano.scan_module.tests.test_scan.T_Scan) ... ok test_use_scan_direct_output (theano.scan_module.tests.test_scan.T_Scan) ... ok test_use_scan_direct_output2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_using_negative_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok test_using_taps_input_output (theano.scan_module.tests.test_scan.T_Scan) ... ok test_using_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok test_verify_second_grad_mitsot1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_verify_second_grad_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while0 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while_infershape (theano.scan_module.tests.test_scan.T_Scan) ... ok test_consistent_inner_fct (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_inconsistent_inner_fct (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_raise_error (theano.scan_module.tests.test_scan.TestInconsistentBroadcast) ... ok theano.scan_module.tests.test_scan.test_speed ... ok theano.scan_module.tests.test_scan.test_speed_rnn ... ok theano.scan_module.tests.test_scan.test_speed_batchrnn ... ok theano.scan_module.tests.test_scan.test_compute_test_value ... ok theano.scan_module.tests.test_scan.test_compute_test_value_nonseq ... ok theano.scan_module.tests.test_scan.test_compute_test_value_grad ... ok theano.scan_module.tests.test_scan.test_compute_test_value_grad_cast ... ok theano.scan_module.tests.test_scan.test_constant_folding_n_steps ... ok Checks that errors are raised with bad output_info taps. ... ok theano.scan_module.tests.test_scan.test_default_value_broadcasted ... ok Test gradient computation of A**k. ... ok Test forward computation of A**k. ... ok Test that scan_checkpoint reduces memory usage. ... SKIP: Requires pygpu. Test that an error rises if we use taps in outputs_info. ... ok test_batch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok test_nobatch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok Test the case where the vector input to the dot is already a nitsot ... ok Test the case where the vector input to the dot is not already an ... ok Test the case where the vector input to the dot is not already a ... ok This test case comes from https://github.com/rizar/scan-grad-speed and ... ok Test the case where the initial value for the nitsot output is ... ok test_leaf (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_leaf_inside_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_opfromgraph (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_scan_with_shared_update (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_scan_with_shared_update2 (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok theano.scan_module.tests.test_scan_utils.test_equal_compuations ... ok test_convolution (theano.sparse.sandbox.test_sp.TestSP) ... ok test_maxpool (theano.sparse.sandbox.test_sp.TestSP) ... ok test_multilayer_conv (theano.sparse.sandbox.test_sp.TestSP) ... ok test_grad (theano.sparse.tests.test_basic.AddSSDataTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.AddSSDataTester) ... ok test_op (theano.sparse.tests.test_basic.AddSSDataTester) ... ok test_grad (theano.sparse.tests.test_basic.ArcsinTester) ... ok test_op (theano.sparse.tests.test_basic.ArcsinTester) ... ok test_grad (theano.sparse.tests.test_basic.ArcsinhTester) ... ok test_op (theano.sparse.tests.test_basic.ArcsinhTester) ... ok test_grad (theano.sparse.tests.test_basic.ArctanTester) ... ok test_op (theano.sparse.tests.test_basic.ArctanTester) ... ok test_grad (theano.sparse.tests.test_basic.ArctanhTester) ... ok test_op (theano.sparse.tests.test_basic.ArctanhTester) ... ok test_cast (theano.sparse.tests.test_basic.CastTester) ... /usr/lib/python2.7/dist-packages/scipy/sparse/data.py:68: ComplexWarning: Casting complex values to real discards the imaginary part return self._with_data(self._deduped_data().astype(t)) /<>/theano-0.9.0+dfsg/theano/sparse/tests/test_basic.py:2434: ComplexWarning: Casting complex values to real discards the imaginary part expected = data.toarray().astype(o_dtype) ok test_grad (theano.sparse.tests.test_basic.CastTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.CastTester) ... ok test_op (theano.sparse.tests.test_basic.CeilTester) ... ok test_grad (theano.sparse.tests.test_basic.CleanTester) ... ok test_op (theano.sparse.tests.test_basic.CleanTester) ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok test_grad (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok test_op (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok test_op (theano.sparse.tests.test_basic.ConjTester) ... ok test_grad (theano.sparse.tests.test_basic.Deg2radTester) ... ok test_op (theano.sparse.tests.test_basic.Deg2radTester) ... ok test_grad (theano.sparse.tests.test_basic.DiagTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.DiagTester) ... ok test_op (theano.sparse.tests.test_basic.DiagTester) ... ok test_csc_dense (theano.sparse.tests.test_basic.DotTests) ... ok test_csr_dense (theano.sparse.tests.test_basic.DotTests) ... ok test_csr_dense_grad (theano.sparse.tests.test_basic.DotTests) ... ok test_cuda (theano.sparse.tests.test_basic.DotTests) ... SKIP: Optional package cuda not available test_int32_dtype (theano.sparse.tests.test_basic.DotTests) ... ok test_sparse_sparse (theano.sparse.tests.test_basic.DotTests) ... ok test_grad (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok test_op (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok test_grad (theano.sparse.tests.test_basic.Expm1Tester) ... ok test_op (theano.sparse.tests.test_basic.Expm1Tester) ... ok test_op (theano.sparse.tests.test_basic.FloorTester) ... ok test_grad (theano.sparse.tests.test_basic.HStackTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.HStackTester) ... ok test_op (theano.sparse.tests.test_basic.HStackTester) ... ok test_grad (theano.sparse.tests.test_basic.Log1pTester) ... ok test_op (theano.sparse.tests.test_basic.Log1pTester) ... ok test_mul_s_v (theano.sparse.tests.test_basic.MulSVTester) ... ok test_mul_s_v_grad (theano.sparse.tests.test_basic.MulSVTester) ... ok test_grad (theano.sparse.tests.test_basic.Rad2degTester) ... ok test_op (theano.sparse.tests.test_basic.Rad2degTester) ... ok test_grad (theano.sparse.tests.test_basic.Remove0Tester) ... ok test_infer_shape (theano.sparse.tests.test_basic.Remove0Tester) ... ok test_remove0 (theano.sparse.tests.test_basic.Remove0Tester) ... ok test_op (theano.sparse.tests.test_basic.RintTester) ... ok test_grad (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok test_op (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok test_grad (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_negative_stride (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_op (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_op (theano.sparse.tests.test_basic.SgnTester) ... ok test_grad (theano.sparse.tests.test_basic.SinTester) ... ok test_op (theano.sparse.tests.test_basic.SinTester) ... ok test_grad (theano.sparse.tests.test_basic.SinhTester) ... ok test_op (theano.sparse.tests.test_basic.SinhTester) ... ok test_grad (theano.sparse.tests.test_basic.SpSumTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.SpSumTester) ... ok test_op (theano.sparse.tests.test_basic.SpSumTester) ... ok test_add_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_add_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_csm (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_csm_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_dense_from_sparse (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_getitem_2d (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for GetItem2d yet test_getitem_scalar (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_mul_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_mul_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_neg (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_remove0 (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_sparse_from_dense (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_sparse_from_list (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_structured_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_structured_dot_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for the grad of structured_dot test_transpose (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_grad (theano.sparse.tests.test_basic.SqrTester) ... ok test_op (theano.sparse.tests.test_basic.SqrTester) ... ok test_grad (theano.sparse.tests.test_basic.SqrtTester) ... ok test_op (theano.sparse.tests.test_basic.SqrtTester) ... ok test_grad (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok test_op (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok test_structured_add_s_v (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok test_structured_add_s_v_grad (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredAddTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredAddTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredExpTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredExpTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredLogTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredLogTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredPowTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredPowTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok testAddDS (theano.sparse.tests.test_basic.T_AddMul) ... ok testAddSD (theano.sparse.tests.test_basic.T_AddMul) ... ok testAddSS (theano.sparse.tests.test_basic.T_AddMul) ... ok testMulDS (theano.sparse.tests.test_basic.T_AddMul) ... ok testMulSD (theano.sparse.tests.test_basic.T_AddMul) ... ok testMulSS (theano.sparse.tests.test_basic.T_AddMul) ... ok test_dense_from_sparse (theano.sparse.tests.test_basic.T_conversion) ... ok test_format_ndim (theano.sparse.tests.test_basic.T_conversion) ... ok test_todense (theano.sparse.tests.test_basic.T_conversion) ... ok test_transpose_csc (theano.sparse.tests.test_basic.T_transpose) ... ok test_transpose_csr (theano.sparse.tests.test_basic.T_transpose) ... ok test_grad_fail (theano.sparse.tests.test_basic.T_verify_grad_sparse) ... ok test_grad (theano.sparse.tests.test_basic.TanTester) ... ok test_op (theano.sparse.tests.test_basic.TanTester) ... ok test_grad (theano.sparse.tests.test_basic.TanhTester) ... ok test_op (theano.sparse.tests.test_basic.TanhTester) ... ok test_adv_sub1_sparse_grad (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok test_err (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok test_GetItem2D (theano.sparse.tests.test_basic.Test_getitem) ... SKIP: Slicing with step is supported. test_GetItem2Lists (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItem2Lists_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItemList (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItemList_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItemScalar (theano.sparse.tests.test_basic.Test_getitem) ... ok test_get_item_2lists_grad (theano.sparse.tests.test_basic.Test_getitem) ... ok test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... ok test_grad (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_op_sd (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_op_ss (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_grad (theano.sparse.tests.test_basic.TruncTester) ... ok test_op (theano.sparse.tests.test_basic.TruncTester) ... ok test (theano.sparse.tests.test_basic.UsmmTests) ... ok test_infer_shape (theano.sparse.tests.test_basic.UsmmTests) ... ok test_grad (theano.sparse.tests.test_basic.VStackTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.VStackTester) ... ok test_op (theano.sparse.tests.test_basic.VStackTester) ... ok test_ds_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_ds_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok Test assuring normal behaviour when values ... ok test_sd_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_sd_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_ss_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:295: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. "using <, >, or !=, instead.", SparseEfficiencyWarning) ok test_ss_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_csm (theano.sparse.tests.test_basic.test_csm) ... ok test_csm_grad (theano.sparse.tests.test_basic.test_csm) ... ok Test support for gradients sparser than the input. ... ok Test support for gradients of unsorted inputs. ... ok test_csm_properties (theano.sparse.tests.test_basic.test_csm_properties) ... ok test_csm_properties_grad (theano.sparse.tests.test_basic.test_csm_properties) ... ok Test that get_value return the same type as what was gived when creating the shared variable ... ok We test that if the SharedVariable implement it we do inplace set_value ... ok test_return_internal_type (theano.sparse.tests.test_basic.test_shared_options) ... ok test_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shape_i (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shared_do_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shared_dont_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok test_specify_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok test_specify_shape_inplace (theano.sparse.tests.test_basic.test_shared_options) ... ok test_specify_shape_partial (theano.sparse.tests.test_basic.test_shared_options) ... ok Test the type.values_eq[_approx] function ... ok test_csc_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok test_csr_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok test_dot_sparse_sparse (theano.sparse.tests.test_basic.test_structureddot) ... ok test_opt_unpack (theano.sparse.tests.test_basic.test_structureddot) ... ok test_structureddot_csc_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok test_structureddot_csr_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok test_upcast (theano.sparse.tests.test_basic.test_structureddot) ... ok test (theano.sparse.tests.test_basic.test_zeros_like) ... ok theano.sparse.tests.test_basic.test_shape_i ... ok theano.sparse.tests.test_basic.test_shape ... ok theano.sparse.tests.test_basic.test_may_share_memory ... ok theano.sparse.tests.test_basic.test_sparse_shared_memory ... ok Ensure the `size` attribute of sparse matrices behaves as in numpy. ... ok Tests sparse.hstack and sparse.vstack (as opposed to the HStack and VStack ... ok theano.sparse.tests.test_opt.test_local_csm_properties_csm ... ok theano.sparse.tests.test_opt.test_local_csm_grad_c ... SKIP: Opt disabled as it don't support unsorted indices theano.sparse.tests.test_opt.test_local_mul_s_d ... ok theano.sparse.tests.test_opt.test_local_mul_s_v ... ok theano.sparse.tests.test_opt.test_local_structured_add_s_v ... ok theano.sparse.tests.test_opt.test_local_sampling_dot_csr ... ok theano.sparse.tests.test_opt.test_local_dense_from_sparse_sparse_from_dense ... ok theano.sparse.tests.test_opt.test_sd_csc ... ok test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester) ... ok test_op (theano.sparse.tests.test_sp2.BinomialTester) ... ok test_infer_shape (theano.sparse.tests.test_sp2.MultinomialTester) ... ok test_op (theano.sparse.tests.test_sp2.MultinomialTester) ... ok test_infer_shape (theano.sparse.tests.test_sp2.PoissonTester) ... ok test_op (theano.sparse.tests.test_sp2.PoissonTester) ... ok theano.sparse.tests.test_type.test_sparse_type ... ok theano.sparse.tests.test_utils.test_hash_from_sparse ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... ok test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertConvShape) ... ok test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv2d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv3d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv3d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv3d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok Test 1D kernels used in bilinear upsampling ... ok Test 2D kernels used in bilinear upsampling ... ok Test bilinear upsampling using 1D kernels ... ok test_bilinear_upsampling_reshaping (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok Compare 1D and 2D upsampling ... ok Test conv2d_transpose wrapper. ... ok test_check_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok test_get_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok test_constant_input (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok test_grad_types (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'full', True, True, (1, 1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'full', True, True, (1, 1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok test_basic_3d (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok theano.tensor.nnet.tests.test_abstract_conv.test_constant_shapes ... ok test_dot_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok Compares the numpy version of sparseblockgemv to sparse_block_dot. ... ok Compares the numpy and theano versions of sparseblockgemv. ... ok Test the fortan order for W (which can happen in the grad for some ... ok test_sparseblockgemv_grad (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_sparseblockgemv_grad_1 (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_sparseblockgemv_grad_shape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok theano.tensor.nnet.tests.test_bn.test_BNComposite ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization ... ok theano.tensor.nnet.tests.test_bn.test_bn_feature_maps ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_train ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_without_running_averages ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_broadcast ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_test ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_broadcastable ... ok Tests that basic convolutions work for odd and even ... ok Tests that basic convolutions work for odd and even ... ok Tests basic convolution in full mode and case where filter ... ok gcc 4.3.0 20080428 (Red Hat 4.3.0-8) ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok test_infer_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok Tests that when the shape gived at build time is not the same as ... ok Test convolutions for various pieces of missing info. ... ok Tests convolution where the {image,filter}_shape is a Constant tensor. ... ok Tests convolution where subsampling != (1,1) ... ok Tests for uint datatype in filter_shape ... ok Tests for uint datatype in image_shape. ... ok Test mini-batch unrolling for various legal values. ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test kernel unrolling for various legal values. ... ok Test basic convs with False. ... ok Test basic convs with True. ... ok Test basic convs with True. ... ok (unroll_kern, unroll_batch) in (0,1),(1,0) is special case. ... ok Test convolutions when we don't give a constant as shape information ... ok Make sure errors are raised when image and kernel are not 4D tensors ... ok Tests that basic convolutions work for odd and even ... ok Tests that basic convolutions work for odd and even ... ok Tests basic convolution in full mode and case where filter ... ok gcc 4.3.0 20080428 (Red Hat 4.3.0-8) ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestDefaultConv2D) ... ok test_infer_shape (theano.tensor.nnet.tests.test_conv.TestDefaultConv2D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok Tests that when the shape gived at build time is not the same as ... ok Test convolutions for various pieces of missing info. ... ok Tests convolution where the {image,filter}_shape is a Constant tensor. ... ok Tests convolution where subsampling != (1,1) ... ok Tests for uint datatype in filter_shape ... ok Tests for uint datatype in image_shape. ... ok Test mini-batch unrolling for various legal values. ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test kernel unrolling for various legal values. ... ok Test basic convs with False. ... ok Test basic convs with True. ... ok Test basic convs with True. ... ok (unroll_kern, unroll_batch) in (0,1),(1,0) is special case. ... ok Test convolutions when we don't give a constant as shape information ... ok Make sure errors are raised when image and kernel are not 4D tensors ... ok theano.tensor.nnet.tests.test_conv.test_broadcast_grad ... ok test_c_against_mat_mul (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_c_against_mat_transp_mul (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_c_against_python (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_c_against_sparse_mat_transp_mul (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_gradient (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_infer_shape (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok theano.tensor.nnet.tests.test_conv3d2d.test_get_diagonal_subtensor_view ... ok theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_0_valid ... ok theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_1_full ... ok theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_2_half ... ok Tests that basic correlations work for odd and even ... ok Checks dtype upcast for CorrMM methods. ... ok Tests correlation where filter dilation != (1,1) ... ok Tests basic correlation in full mode and case where filter ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok test_infer_shape_forward (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok test_non_contiguous (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok Tests correlation where the {image,filter}_shape is a Constant tensor. ... ok Tests correlation where subsampling != (1,1) ... ok Make sure errors are raised when image and kernel are not 4D tensors ... ok Tests that basic correlations work for odd and even ... ok Checks dtype upcast for Corr3dMM methods. ... ok Tests correlation where filter dilation != (1,1,1) ... ok Tests basic correlation in full mode and case where filter ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok test_infer_shape_forward (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok test_non_contiguous (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok Tests correlation where the {image,filter}_shape is a Constant tensor. ... ok Tests correlation where subsampling != (1,1,1) ... ok Make sure errors are raised when image and kernel are not 5D tensors ... ok test_can_not_infer_nb_dim (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_grad_ignore_border (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_grad_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_grad_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_infer_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs2images_grad (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_bad_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_bad_shape_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_manual_step (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_valid_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_wrap_centered_step_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_bad_build (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_good (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_grad (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_crossentropy_softmax_1hot_with_bias_dxcale_cost (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_get_rid_of_advanced_indexing_version_of_xent (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_grad (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector3 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector4 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_grad_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_grad_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_w_bias (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_w_bias2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_w_bias_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_xent_thing_int32 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1HotGrad) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test_vectors (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test2 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test3 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_allclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_isclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok Test the Logsoftmax's grad substitution. ... ok Test the Logsoftmax substitution ... ok test_logsoftmax_grad_true_div_elemwise (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_matrix (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_vector (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test2 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test3 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_vector (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxGrad) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test2 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test3 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test_broadcast (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test_softmax_with_bias_trace (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok basic functionality ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok test_elemwise (theano.tensor.nnet.tests.test_nnet.T_sigmoid) ... ok test_elemwise (theano.tensor.nnet.tests.test_nnet.T_softplus) ... ok theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_1d_basic ... SKIP: Optimization not enabled for the moment theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic ... ok theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic_keepdims ... ok theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_grad ... SKIP: Optimization not enabled for the moment theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_transpose_basic ... SKIP: Optimization not enabled for the moment theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown ... ok theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown_bias ... ok This test makes sure that our functions behave sensibly when ... ok theano.tensor.nnet.tests.test_nnet.test_softmax_graph ... ok theano.tensor.nnet.tests.test_nnet.test_grad_softmax_grad ... ok theano.tensor.nnet.tests.test_nnet.test_stabilize_log_softmax ... ok theano.tensor.nnet.tests.test_nnet.test_relu ... ok Tests the output dimensions of the h_softmax when a target is provided or ... ok theano.tensor.nnet.tests.test_nnet.test_elu ... ok theano.tensor.nnet.tests.test_nnet.test_binary_crossentropy_reshape ... ok theano.tensor.nnet.tests.test_nnet.test_confusion_matrix ... ok theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_gemv_opt ... ok theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_outer_opt ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_elemwise (theano.tensor.nnet.tests.test_sigm.T_sigmoid) ... ok test_1msigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok test_exp_over_1_plus_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok test_grad_log1msigm (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok test_local_hard_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok Test the `local_sigm_times_exp` optimization. ... ok test_local_ultra_fast_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok Test the core function doing the `sigm_times_exp` optimization. ... ok test_compute_mul (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok test_is_1pexp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok test_parse_mul_tree (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok test_elemwise (theano.tensor.nnet.tests.test_sigm.T_softplus) ... ok test_log1msigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok test_log1pexp_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok test_logsigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok Basic functionality of nnet.conv.ConvOp is already tested by ... ok Test refers to a bug reported by Josh, when due to a bad merge these ... ok Test that conv2d fails for dimensions other than 2 or 3. ... ok test_AveragePoolGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_0 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_1 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_10 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_100 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_101 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_102 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_103 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_104 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_105 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_106 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_107 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_108 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_109 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_11 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_110 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_111 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_112 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_113 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_114 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_115 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_116 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_117 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_118 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_119 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_12 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_120 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_121 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_122 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_123 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_124 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_125 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_126 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_127 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_128 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_129 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_13 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_130 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_131 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_132 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_133 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_134 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_135 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_136 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_137 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_138 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_139 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_14 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_140 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_141 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_142 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_143 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_144 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_145 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_146 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_147 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_148 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_149 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_15 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_16 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_17 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_18 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_19 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_2 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_20 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_21 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_22 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_23 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_24 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_25 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_26 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_27 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_28 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_29 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_3 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_30 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_31 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_32 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_33 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_34 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_35 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_36 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_37 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_38 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_39 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_4 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_40 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_41 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_42 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_43 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_44 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_45 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_46 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_47 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_48 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_49 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_5 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_50 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_51 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_52 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_53 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_54 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_55 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_56 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_57 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_58 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_59 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_6 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_60 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_61 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_62 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_63 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_64 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_65 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_66 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_67 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_68 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_69 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_7 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_70 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_71 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_72 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_73 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_74 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_75 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_76 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_77 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_78 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_79 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_8 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_80 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_81 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_82 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_83 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_84 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_85 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_86 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_87 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_88 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_89 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_9 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_90 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_91 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_92 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_93 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_94 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_95 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_96 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_97 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_98 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_99 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGradGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_0 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_1 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_10 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_11 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_12 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_13 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_14 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_15 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_16 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_17 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_18 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_19 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_2 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_20 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_21 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_22 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_23 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_24 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_25 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_26 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_27 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_28 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_29 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_3 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_30 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_31 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_32 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_33 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_34 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_35 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_36 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_37 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_38 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_39 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_4 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_40 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_41 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_42 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_43 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_44 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_45 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_46 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_47 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_48 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_49 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_5 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_6 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_7 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_8 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_9 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxPaddingStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxPaddingStride_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxStrideExtra (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_0 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_1 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_10 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_100 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_101 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_102 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_103 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_104 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_105 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_106 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_107 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_108 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_109 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_11 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_110 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_111 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_112 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_113 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_114 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_115 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_116 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_117 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_118 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_119 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_12 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_120 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_121 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_122 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_123 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_124 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_125 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_126 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_127 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_128 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_129 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_13 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_130 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_131 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_132 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_133 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_134 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_135 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_136 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_137 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_138 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_139 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_14 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_140 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_141 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_142 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_143 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_144 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_145 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_146 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_147 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_148 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_149 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_15 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_150 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_151 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_152 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_153 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_154 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_155 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_156 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_157 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_158 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_159 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_16 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_160 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_161 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_162 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_163 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_164 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_165 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_166 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_167 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_168 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_169 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_17 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_170 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_171 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_172 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_173 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_174 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_175 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_176 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_177 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_178 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_179 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_18 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_180 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_181 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_182 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_183 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_184 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_185 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_186 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_187 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_188 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_189 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_19 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_190 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_191 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_192 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_193 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_194 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_195 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_196 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_197 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_198 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_199 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_2 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_20 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_21 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_22 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_23 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_24 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_25 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_26 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_27 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_28 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_29 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_3 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_30 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_31 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_32 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_33 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_34 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_35 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_36 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_37 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_38 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_39 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_4 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_40 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_41 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_42 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_43 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_44 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_45 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_46 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_47 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_48 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_49 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_5 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_50 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_51 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_52 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_53 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_54 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_55 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_56 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_57 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_58 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_59 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_6 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_60 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_61 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_62 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_63 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_64 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_65 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_66 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_67 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_68 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_69 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_7 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_70 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_71 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_72 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_73 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_74 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_75 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_76 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_77 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_78 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_79 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_8 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_80 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_81 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_82 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_83 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_84 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_85 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_86 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_87 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_88 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_89 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_9 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_90 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_91 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_92 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_93 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_94 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_95 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_96 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_97 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_98 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_99 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_hessian (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_infer_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_2D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_2D_same_size (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_6D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_3d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_3d_3D_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:936: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:936: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:936: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) ok test_old_pool_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... SKIP: Skip old pool interface with python 2.x test_out_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_pooling_with_tensor_vars (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_pooling_with_tensor_vars_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1120: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1120: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1120: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1136: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1136: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1136: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) ok Demonstrate stochastic gradient descent optimization for a multilayer ... ok test_bad_build (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AbsTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AbsTester) ... ok test_good (theano.tensor.tests.test_basic.AbsTester) ... ok test_grad (theano.tensor.tests.test_basic.AbsTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AbsTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AddTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AddTester) ... ok test_good (theano.tensor.tests.test_basic.AddTester) ... ok test_grad (theano.tensor.tests.test_basic.AddTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AddTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_good (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_good (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AllocTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AllocTester) ... ok test_good (theano.tensor.tests.test_basic.AllocTester) ... ok test_grad (theano.tensor.tests.test_basic.AllocTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AllocTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccosTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccosTester) ... ok test_good (theano.tensor.tests.test_basic.ArccosTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccosTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccosTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_good (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_good (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_good (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_grad (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_grad_none (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArctanTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArctanTester) ... ok test_good (theano.tensor.tests.test_basic.ArctanTester) ... ok test_grad (theano.tensor.tests.test_basic.ArctanTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArctanTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArctanhTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArctanhTester) ... ok test_good (theano.tensor.tests.test_basic.ArctanhTester) ... ok test_grad (theano.tensor.tests.test_basic.ArctanhTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArctanhTester) ... ok test_bad_build (theano.tensor.tests.test_basic.BatchedDotTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.BatchedDotTester) ... ok test_good (theano.tensor.tests.test_basic.BatchedDotTester) ... ok test_grad (theano.tensor.tests.test_basic.BatchedDotTester) ... ok test_grad_none (theano.tensor.tests.test_basic.BatchedDotTester) ... ok test_cast_from_complex_to_real_raises_error (theano.tensor.tests.test_basic.CastTester) ... ok test_cast_from_real_to_complex (theano.tensor.tests.test_basic.CastTester) ... ok test_good_between_real_types (theano.tensor.tests.test_basic.CastTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok test_good (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok test_grad (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CeilTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CeilTester) ... ok test_good (theano.tensor.tests.test_basic.CeilTester) ... ok test_grad (theano.tensor.tests.test_basic.CeilTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CeilTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_good (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_grad (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_good (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_grad (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Chi2SFTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ClipTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ClipTester) ... ok test_good (theano.tensor.tests.test_basic.ClipTester) ... ok test_grad (theano.tensor.tests.test_basic.ClipTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ClipTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok test_good (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok test_grad (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ConjTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ConjTester) ... ok test_good (theano.tensor.tests.test_basic.ConjTester) ... ok test_grad (theano.tensor.tests.test_basic.ConjTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ConjTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CosInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CosInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.CosInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.CosInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CosInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CosTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CosTester) ... ok test_good (theano.tensor.tests.test_basic.CosTester) ... ok test_grad (theano.tensor.tests.test_basic.CosTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CosTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.CoshTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.CoshTester) ... ok test_good (theano.tensor.tests.test_basic.CoshTester) ... ok test_grad (theano.tensor.tests.test_basic.CoshTester) ... ok test_grad_none (theano.tensor.tests.test_basic.CoshTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Deg2radTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Deg2radTester) ... ok test_good (theano.tensor.tests.test_basic.Deg2radTester) ... ok test_grad (theano.tensor.tests.test_basic.Deg2radTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Deg2radTester) ... ok test_bad_build (theano.tensor.tests.test_basic.DotTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.DotTester) ... ok test_good (theano.tensor.tests.test_basic.DotTester) ... ok test_grad (theano.tensor.tests.test_basic.DotTester) ... ok test_grad_none (theano.tensor.tests.test_basic.DotTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfTester) ... ok test_good (theano.tensor.tests.test_basic.ErfTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfcTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfcTester) ... ok test_good (theano.tensor.tests.test_basic.ErfcTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfcTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfcTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfcinvTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfcinvTester) ... ok test_good (theano.tensor.tests.test_basic.ErfcinvTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfcinvTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfcinvTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfcxTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfcxTester) ... ok test_good (theano.tensor.tests.test_basic.ErfcxTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfcxTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfcxTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ErfinvTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ErfinvTester) ... ok test_good (theano.tensor.tests.test_basic.ErfinvTester) ... ok test_grad (theano.tensor.tests.test_basic.ErfinvTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ErfinvTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok test_good (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Exp2Tester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Exp2Tester) ... ok test_good (theano.tensor.tests.test_basic.Exp2Tester) ... ok test_grad (theano.tensor.tests.test_basic.Exp2Tester) ... ok test_grad_none (theano.tensor.tests.test_basic.Exp2Tester) ... ok test_bad_build (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ExpTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ExpTester) ... ok test_good (theano.tensor.tests.test_basic.ExpTester) ... ok test_grad (theano.tensor.tests.test_basic.ExpTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ExpTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok test_good (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok test_bad_build 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test_bad_runtime (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SqrtTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SqrtTester) ... ok test_good (theano.tensor.tests.test_basic.SqrtTester) ... ok test_grad (theano.tensor.tests.test_basic.SqrtTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SqrtTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SubTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SubTester) ... ok test_good (theano.tensor.tests.test_basic.SubTester) ... ok test_grad (theano.tensor.tests.test_basic.SubTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SubTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SwitchTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SwitchTester) ... ok test_good (theano.tensor.tests.test_basic.SwitchTester) ... ok test_grad (theano.tensor.tests.test_basic.SwitchTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SwitchTester) ... ok test_broadcasted (theano.tensor.tests.test_basic.T_Choose) ... ok test_dtype_error (theano.tensor.tests.test_basic.T_Choose) ... ok test_infer_shape (theano.tensor.tests.test_basic.T_Choose) ... ok test_numpy_compare (theano.tensor.tests.test_basic.T_Choose) ... ok test_numpy_compare_tuple (theano.tensor.tests.test_basic.T_Choose) ... ok test_clip_repeat_grad (theano.tensor.tests.test_basic.T_Clip) ... ok test_clip_repeat_verify_grad (theano.tensor.tests.test_basic.T_Clip) ... ok test_complex_value (theano.tensor.tests.test_basic.T_Clip) ... ok test_get_vector_length (theano.tensor.tests.test_basic.T_GetVectorLength) ... ok Test that the broadcastable flags for the output of ... ok Test that the broadcastable flag of the join axis ... ok Test that joining together several inputs which are all ... ok test_broadcastable_flags_many_dims_and_inputs (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_broadcastable_single_input_broadcastable_dimension (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_concatenate_same (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_infer_shape_join (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok Fast test of concatenate as this is an alias for join. ... ok test_join_matrix0 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix1 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix1_using_horizontal_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix1_using_vertical_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok constant join negative axis ... ok variable join axis ... ok variable join negative axis ... ok test_join_matrix_dtypes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix_ints (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_mixed_ndim_error (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_rebroadcast (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_roll (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_split_0elem (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_split_neg (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_stack_hessian (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_stack_hessian2 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_stack_mixed_type_constants (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok Test the new numpy-like interface: stack(tensors, axis=0). ... /usr/lib/python2.7/unittest/case.py:329: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead. testMethod() ok test_stack_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok Test that calling stack() on scalars instantiates MakeVector, ... ok Test that calling stack() on scalars instantiates MakeVector, ... ok Test that calling stack() on scalars instantiates MakeVector, ... ok test_stack_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_vector_len (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_multiple_power (theano.tensor.tests.test_basic.T_Power) ... ok test_numpy_compare (theano.tensor.tests.test_basic.T_Power) ... ok test_wrong_shape (theano.tensor.tests.test_basic.T_Power) ... ok test_basic0 (theano.tensor.tests.test_basic.T_Shape) ... ok test_basic1 (theano.tensor.tests.test_basic.T_Shape) ... ok test_basic2 (theano.tensor.tests.test_basic.T_Shape) ... ok test_complex_all_ops (theano.tensor.tests.test_basic.T_add) ... ok test_grad_col (theano.tensor.tests.test_basic.T_add) ... ok test_grad_row (theano.tensor.tests.test_basic.T_add) ... ok test_grad_scalar_l (theano.tensor.tests.test_basic.T_add) ... ok test_grad_scalar_r (theano.tensor.tests.test_basic.T_add) ... ok test2 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test2_invalid (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test2_invalid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test2_valid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test3 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_grad_argmax (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_grad_argmin (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_list (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_scalar (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_empty_dtype (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_memmap (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_ndarray_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_complex (theano.tensor.tests.test_basic.T_ceil) ... ok test_impls (theano.tensor.tests.test_basic.T_divimpl) ... ok test_complex (theano.tensor.tests.test_basic.T_exp) ... ok test_grad_0 (theano.tensor.tests.test_basic.T_exp) ... ok test_grad_1 (theano.tensor.tests.test_basic.T_exp) ... ok test_int (theano.tensor.tests.test_basic.T_exp) ... ok test_assert (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_copy (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_elemwise (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_get_scalar_constant_value (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_make_vector (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_numpy_array (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_second (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_shape_i (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_subtensor_of_constant (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_fit_int64 (theano.tensor.tests.test_basic.T_long_tensor) ... ok test_too_big (theano.tensor.tests.test_basic.T_long_tensor) ... ok test0 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test1 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2_invalid (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2_invalid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2_valid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test3 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok The test checks that the gradient of argmax(x).sum() is 0 ... ok test_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test_multiple_axes (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test_numpy_input (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok Ensure the original broadcastable flags are preserved by Max/Argmax. ... ok test_zero_shape (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test0 (theano.tensor.tests.test_basic.T_mean) ... ok test_list (theano.tensor.tests.test_basic.T_mean) ... ok test_mean_f16 (theano.tensor.tests.test_basic.T_mean) ... ok test_regression_mean_of_ndarray_failure (theano.tensor.tests.test_basic.T_mean) ... ok test2 (theano.tensor.tests.test_basic.T_min_max) ... ok test2_invalid (theano.tensor.tests.test_basic.T_min_max) ... ok test2_invalid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok test2_valid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok test3 (theano.tensor.tests.test_basic.T_min_max) ... ok test3b (theano.tensor.tests.test_basic.T_min_max) ... ok test_grad_max (theano.tensor.tests.test_basic.T_min_max) ... ok test_grad_min (theano.tensor.tests.test_basic.T_min_max) ... ok test_list (theano.tensor.tests.test_basic.T_min_max) ... ok test_scalar (theano.tensor.tests.test_basic.T_min_max) ... ok trigger bug in ticket #162 ... ok Test the combined graph of the graph of outer ... ok test_outer (theano.tensor.tests.test_basic.T_outer) ... ok test_0 (theano.tensor.tests.test_basic.T_reshape) ... ok test_bad_shape (theano.tensor.tests.test_basic.T_reshape) ... ok test_empty_shp (theano.tensor.tests.test_basic.T_reshape) ... ok test_m1 (theano.tensor.tests.test_basic.T_reshape) ... ok test_reshape (theano.tensor.tests.test_basic.T_reshape) ... ok test_reshape_long_in_shape (theano.tensor.tests.test_basic.T_reshape) ... ok test0 (theano.tensor.tests.test_basic.T_scalarfromtensor) ... ok test_list (theano.tensor.tests.test_basic.T_sum) ... ok Ensure that overflow errors are a little bit harder to get ... ok test_doubleswap (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_interface (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_no_dimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_not_enough_dimension (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_numpy_compare (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_unidimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok test0 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok test1 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok test2 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok test_bad_build (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TanTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanTester) ... ok test_good (theano.tensor.tests.test_basic.TanTester) ... ok test_grad (theano.tensor.tests.test_basic.TanTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TanhTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanhTester) ... ok test_good (theano.tensor.tests.test_basic.TanhTester) ... ok test_grad (theano.tensor.tests.test_basic.TanhTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanhTester) ... ok Test behaviour of ARange Op on integer inputs ... ok Test that arange constructor uses the correct default start ... ok Test that arange constructor uses the correct default step ... ok Checks that the same Op is returned on repeated calls to arange ... ok Test arange constructor, on float32 outputs ... ok Test arange constructor, on float64 outputs ... ok test_infer_shape (theano.tensor.tests.test_basic.TestARange) ... ok Test arange constructor, on integer outputs ... ok Test that arange computes output type adequately ... ok test_alloc_constant_folding (theano.tensor.tests.test_basic.TestAlloc) ... ok test_alloc_output (theano.tensor.tests.test_basic.TestAlloc) ... ok test_ones (theano.tensor.tests.test_basic.TestAlloc) ... ok test_zeros (theano.tensor.tests.test_basic.TestAlloc) ... ok test_above_output_len (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_below_zero_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_list (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_one_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_strip_leading_broadcastable (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_infer_shape (theano.tensor.tests.test_basic.TestInferShape) ... /<>/theano-0.9.0+dfsg/theano/tensor/tests/test_basic.py:7911: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(advec, aivec_val)], /<>/theano-0.9.0+dfsg/theano/tensor/tests/test_basic.py:7919: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(admat, aivec_val)], /<>/theano-0.9.0+dfsg/theano/tensor/tests/test_basic.py:7927: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(adtens4, aivec_val)], ok Test the inversion of one permutation (int vector) ... ok Test the inversion of several permutations at a time ... ok test_mgrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok test_mgrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok test_ogrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok test_ogrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok Test PermuteRowElements(vector, vector) ... ok Test PermuteRowElements(vector, matrix) ... ok Test broadcasting in PermuteRowElements(matrix, vector) ... ok Test PermuteRowElements(matrix, matrix) ... ok Test permute_row_elements on a more complex broadcasting pattern: ... ok test_bad_number_of_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok test_bad_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok test_argmax (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_argmin (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_argsort (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_clip (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_conj (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_cumprod (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_cumsum (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_diagonal (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_dot (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_ravel (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_real_imag (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_repeat (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_round (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... /<>/theano-0.9.0+dfsg/theano/tensor/basic.py:2146: UserWarning: theano.tensor.round() changed its default from `half_away_from_zero` to `half_to_even` to have the same default as NumPy. Use the Theano flag `warn.round=False` to disable this warning. "theano.tensor.round() changed its default from" ok test_std (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_take (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_trace (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_bad_build (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_good (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_grad (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TruncTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TruncTester) ... ok test_good (theano.tensor.tests.test_basic.TruncTester) ... ok test_grad (theano.tensor.tests.test_basic.TruncTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TruncTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_good (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_grad (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_Op_dims (theano.tensor.tests.test_basic.t_dot) ... ok test_align_1_1 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_1_2 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_1_3 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_2_1 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_2_2 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_2_3 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_3_1 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_3_2 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_3_3 (theano.tensor.tests.test_basic.t_dot) ... ok test_broadcastable_patterns (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_0_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_grad (theano.tensor.tests.test_basic.t_dot) ... ok test_arithmetic_cast (theano.tensor.tests.test_basic.test_arithmetic_cast) ... SKIP: Known issue withnumpy see #761 test_and (theano.tensor.tests.test_basic.test_bitwise) ... ok test_eye (theano.tensor.tests.test_basic.test_bitwise) ... ok test_inv (theano.tensor.tests.test_basic.test_bitwise) ... ok test_or (theano.tensor.tests.test_basic.test_bitwise) ... ok test_xor (theano.tensor.tests.test_basic.test_bitwise) ... ok test_broadcast_bigdim (theano.tensor.tests.test_basic.test_broadcast) ... ok test_infer_shape (theano.tensor.tests.test_basic.test_broadcast) ... ok test_patternbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok test that the unbroadcast fct don't insert not needed broadcast ... ok test_allclose (theano.tensor.tests.test_basic.test_comparison) ... ok test_eq (theano.tensor.tests.test_basic.test_comparison) ... ok test_ge (theano.tensor.tests.test_basic.test_comparison) ... ok test_gt (theano.tensor.tests.test_basic.test_comparison) ... ok test_isclose (theano.tensor.tests.test_basic.test_comparison) ... ok test_le (theano.tensor.tests.test_basic.test_comparison) ... ok test_lt (theano.tensor.tests.test_basic.test_comparison) ... ok test_neq (theano.tensor.tests.test_basic.test_comparison) ... ok test_fail (theano.tensor.tests.test_basic.test_complex_mod) ... ok grad: Test returning a single zero value from grad ... ok grad: Test passing a single variable param ... ok grad: Test returning some zero value from grad ... ok grad: Test passing multiple variable params ... ok grad: Test that a non-scalar cost raises a TypeError ... ok Tests that the theano grad method returns a list if it is passed a list ... ok Ensure that a zero gradient has the proper shape. ... ok Matrix reciprocal by gradient descent ... ok test_flatnonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok test_nonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok test_nonzero_values (theano.tensor.tests.test_basic.test_nonzero) ... ok Ensure dtype string comparisons are consistent. ... ok A copy or deepcopy of the ndarray type should not create a new object. ... ok test_interface (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_first_axis (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_neg_axis (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_no_axis (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_second_axis (theano.tensor.tests.test_basic.test_ptp) ... ok Should return 0 for all scalar ... ok test_vector (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix (theano.tensor.tests.test_basic.test_size) ... ok test_scalar (theano.tensor.tests.test_basic.test_size) ... ok test_shared (theano.tensor.tests.test_basic.test_size) ... ok test_vector (theano.tensor.tests.test_basic.test_size) ... ok test0 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_broadcastable1 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_broadcastable2 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_raise_error (theano.tensor.tests.test_basic.test_tensordot) ... ok test_scalar0 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_scalar_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok test_weird_valid_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok test_tri (theano.tensor.tests.test_basic.test_triangle) ... ok test_tril_triu (theano.tensor.tests.test_basic.test_triangle) ... ok theano.tensor.tests.test_basic.test_py_c_match ... ok theano.tensor.tests.test_basic.test_eye('int8', 3) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int8', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int16', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int32', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int64', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('float32', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('float64', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_identity('int8',) ... ok theano.tensor.tests.test_basic.test_identity('int16',) ... ok theano.tensor.tests.test_basic.test_identity('int32',) ... ok theano.tensor.tests.test_basic.test_identity('int64',) ... ok theano.tensor.tests.test_basic.test_identity('float32',) ... ok theano.tensor.tests.test_basic.test_identity('float64',) ... ok theano.tensor.tests.test_basic.test_identity('uint8',) ... ok theano.tensor.tests.test_basic.test_identity('uint16',) ... ok theano.tensor.tests.test_basic.test_identity('complex64',) ... ok theano.tensor.tests.test_basic.test_identity('complex128',) ... ok theano.tensor.tests.test_basic.test_batched_dot ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(0,) ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(1,) ... ok theano.tensor.tests.test_basic.test_batched_tensordot ... ok theano.tensor.tests.test_basic.test_tensor_values_eq_approx ... ok theano.tensor.tests.test_basic.test_nan_inf_constant_signature ... ok theano.tensor.tests.test_basic.test_isnan ... ok theano.tensor.tests.test_basic.test_basic_allclose ... ok Test join to work inplace. ... ok Test join when only 1 input is given. ... ok theano.tensor.tests.test_basic.test_make_column_matrix_broadcastable ... ok theano.tensor.tests.test_basic.test_flatten_outdimNone ... ok theano.tensor.tests.test_basic.test_flatten_scalar ... ok theano.tensor.tests.test_basic.test_flatten_outdim1 ... ok theano.tensor.tests.test_basic.test_flatten_outdim2 ... ok theano.tensor.tests.test_basic.test_flatten_outdim2_of_3 ... ok theano.tensor.tests.test_basic.test_flatten_broadcastable ... ok theano.tensor.tests.test_basic.test_flatten_outdim_invalid ... ok tests is_flat method for constant and symbolic variables, ... ok theano.tensor.tests.test_basic.test_tile ... ok theano.tensor.tests.test_basic.test_tile_grad ... ok theano.tensor.tests.test_basic.test_smallest_stack ... ok theano.tensor.tests.test_basic.test_smallest ... ok theano.tensor.tests.test_basic.test_reshape_member_fn ... ok theano.tensor.tests.test_basic.test_var ... ok theano.tensor.tests.test_basic.test_default ... ok theano.tensor.tests.test_basic.test_default_state ... ok theano.tensor.tests.test_basic.test_autocast ... ok theano.tensor.tests.test_basic.test_len ... ok We add this test as not all language and C implementation give the same ... ok Confirm that divmod is equivalent to the python version. ... ok This test generate an Elemwise of Composite as: ... ok theano.tensor.tests.test_basic.test_unalign ... ok theano.tensor.tests.test_basic.test_dimshuffle_duplicate ... ok theano.tensor.tests.test_basic.test_transpose ... ok theano.tensor.tests.test_basic.test_stacklists ... ok theano.tensor.tests.test_basic.test_norm ... ok theano.tensor.tests.test_basic.test_allocempty ... ok theano.tensor.tests.test_basic.test_symbolic_slice ... ok test0 (theano.tensor.tests.test_blas.T_real_matrix) ... ok test_dot22 (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_dot22scalar (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_gemm (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_ger_strides (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_a_strides (theano.tensor.tests.test_blas.TestDgemv) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok test_default_beta_y (theano.tensor.tests.test_blas.TestDgemv) ... ok test_simple (theano.tensor.tests.test_blas.TestDgemv) ... ok test_simple_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestDgemv) ... ok test_x_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok test_y_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok Test matrix dot vector ... ok Test vector dot matrix ... ok Currently we generate a gemv for that case ... ok test_gemv1 (theano.tensor.tests.test_blas.TestGemv) ... ok test vector2+dot(vector1,matrix) ... ok test gemv with some broadcasted input ... ok test_gemv_dimensions (theano.tensor.tests.test_blas.TestGemv) ... ok test_A_plus_outer (theano.tensor.tests.test_blas.TestGer) ... ok test_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok test local_gemm_to_ger opt ... ok test local_gemm_to_ger opt ... ok test local_gemm_to_ger opt ... ok test local_gemm_to_ger opt ... ok test_c128_1_9 (theano.tensor.tests.test_blas.TestGer) ... ok test_c64_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_0_0 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_0_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_1_0 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_1_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_1_2 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_4_4 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f64_4_5 (theano.tensor.tests.test_blas.TestGer) ... ok test_inplace (theano.tensor.tests.test_blas.TestGer) ... ok test_outer (theano.tensor.tests.test_blas.TestGer) ... ok test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok test_eq (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok test_hash (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok test_name (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok test_fails_for_mixed_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_for_nonmatrix_A (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_for_nonscalar_alpha (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_for_nonvector_x_or_y (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_on_invalid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_works_on_all_valid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_a_strides (theano.tensor.tests.test_blas.TestSgemv) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok test_default_beta_y (theano.tensor.tests.test_blas.TestSgemv) ... ok test_simple (theano.tensor.tests.test_blas.TestSgemv) ... ok test_simple_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestSgemv) ... ok test_x_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok test_y_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok Test that it works on scalar constants ... ok Test that it fails on nonscalar constants ... ok Test that it works on scalar variables ... ok Test that it fails on nonscalar variables ... ok test0 (theano.tensor.tests.test_blas.t_gemm) ... ok test0a (theano.tensor.tests.test_blas.t_gemm) ... ok test10 (theano.tensor.tests.test_blas.t_gemm) ... ok test11 (theano.tensor.tests.test_blas.t_gemm) ... ok test12 (theano.tensor.tests.test_blas.t_gemm) ... ok test2 (theano.tensor.tests.test_blas.t_gemm) ... ok test4 (theano.tensor.tests.test_blas.t_gemm) ... ok test5 (theano.tensor.tests.test_blas.t_gemm) ... ok test6 (theano.tensor.tests.test_blas.t_gemm) ... ok test7 (theano.tensor.tests.test_blas.t_gemm) ... ok test8 (theano.tensor.tests.test_blas.t_gemm) ... ok test9 (theano.tensor.tests.test_blas.t_gemm) ... ok test that only first input can be overwritten ... ok test that only first input can be overwritten ... ok test that only first input can be overwritten ... ok test that only first input can be overwritten ... ok test that dot args can be aliased ... ok test_factorised_scalar (theano.tensor.tests.test_blas.t_gemm) ... ok test_non_contiguous (theano.tensor.tests.test_blas.t_gemm) ... ok test_shape_0 (theano.tensor.tests.test_blas.t_gemm) ... ok test_transposes (theano.tensor.tests.test_blas.t_gemm) ... ok test_dot22 (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_dot22scalar (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_gemm (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_gemv (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_ger (theano.tensor.tests.test_blas.test_infer_shape) ... ok theano.tensor.tests.test_blas.test_dot_eq ... ok theano.tensor.tests.test_blas.test_res_is_a ... ok Many subgraphs whose dots can be eliminated ... ok This is the pattern that shows up in the autoencoder ... ok theano.tensor.tests.test_blas.test_gemm_canonicalize ... ok theano.tensor.tests.test_blas.test_gemm_factor ... ok theano.tensor.tests.test_blas.test_upcasting_scalar_nogemm ... ok theano.tensor.tests.test_blas.test_gemm_nested ... ok theano.tensor.tests.test_blas.test_gemm_opt_wishlist ... ok Many subgraphs whose dots can be eliminated. This adds a ... ok theano.tensor.tests.test_blas.test_gemm_opt_vector_stuff ... ok This test that the gemm optimizer remove the dot22 that was ... ok theano.tensor.tests.test_blas.test_inplace0 ... ok theano.tensor.tests.test_blas.test_inplace1 ... ok theano.tensor.tests.test_blas.test_dot22 ... ok theano.tensor.tests.test_blas.test_dot22scalar ... ok Test that in `dot22_to_dot22scalar` we properly cast integers to floats. ... ok This test that the bug in gh-1507 is really fixed ... ok theano.tensor.tests.test_blas.test_dot_w_self ... ok test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_gemm (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_gemm (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_force_gemv_init (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_gemv1 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_gemv_dimensions (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_multiple_inplace (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_nan_beta_0 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_optimizations_mv (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_optimizations_vm (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_A_plus_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_A_plus_scaled_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_eq (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_hash (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_int_fails (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_optimization_pipeline (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_optimization_pipeline_float (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_A_plus_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_0 (theano.tensor.tests.test_casting.test_casting) ... ok test_basic (theano.tensor.tests.test_casting.test_casting) ... ok test_bug_complext_10_august_09 (theano.tensor.tests.test_casting.test_casting) ... ok test_convert_to_complex (theano.tensor.tests.test_casting.test_casting) ... ok test_illegal (theano.tensor.tests.test_casting.test_casting) ... ok test0 (theano.tensor.tests.test_complex.TestRealImag) ... ok test_abs_grad (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_abs_grad: Complex grads not enabled, see #178 test_cast (theano.tensor.tests.test_complex.TestRealImag) ... ok test_complex (theano.tensor.tests.test_complex.TestRealImag) ... ok test_complex_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_complex_grads: Complex grads not enabled, see #178 test_mul_mixed (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed: Complex grads not enabled, see #178 test_mul_mixed0 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed0: Complex grads not enabled, see #178 test_mul_mixed1 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed1: Complex grads not enabled, see #178 test_on_real_input (theano.tensor.tests.test_complex.TestRealImag) ... ok test_polar_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_polar_grads: Complex grads not enabled, see #178 test_mean_custom_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok test_mean_default_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok test_mean_precision (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok test_prod_without_zeros_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_prod_without_zeros_custom_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_prod_without_zeros_default_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_prod_without_zeros_default_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_reduce_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_custom_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_default_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_default_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_precision (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_all_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok test_any_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok test_elemwise_grad_bool (theano.tensor.tests.test_elemwise.TestElemwise) ... ok test_infer_shape (theano.tensor.tests.test_elemwise.TestElemwise) ... ok test_input_dimensions_overflow (theano.tensor.tests.test_elemwise.TestElemwise) ... ok test_c (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_c_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_fill (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_fill_grad (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_fill_var (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_perform (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_perform_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_same_inputs (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_weird_strides (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_c (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_c_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_infer_shape (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_perform (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_perform_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_c_or_py (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_infer_shape (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_perform (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_too_big_rank (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_isinf (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok test_isnan (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok test_mul_without_zeros_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_other_grad_tests (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_pickle_bug (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_prod_no_zeros_in_input (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_prod_without_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_prod_without_zeros_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_verify_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_verify_grad_with_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_argmax_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_max_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_mean_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_min_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_sum_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_var_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok A user test that failed. ... ok theano.tensor.tests.test_elemwise.test_clip_grad ... ok Test absence of useless sum. ... ok theano.tensor.tests.test_elemwise.test_elemwise_grad_broadcast ... ok theano.tensor.tests.test_elemwise.test_clip_grad_int ... ok Regression test for unimplemented gradient in an Elemwise Op. ... ok test_op (theano.tensor.tests.test_extra_ops.CompressTester) ... ok test_grad (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_op (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_var_interface (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok test_perform (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok test_bincountFn (theano.tensor.tests.test_extra_ops.TestBinCount) ... ok test_cum_op (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok test_diffOp (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok test_broadcastable (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_repeatOp (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_float_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_int_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_no_1d_inp (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_right_side (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_sorted_input (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_wrong_side_kwd (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok Basic test for a matrix. ... ok Basic test for a vector. ... ok Testing the infer_shape with a matrix. ... ok Testing the infer_shape with a vector. ... ok theano.tensor.tests.test_extra_ops.test_cpu_contiguous ... ok theano.tensor.tests.test_extra_ops.test_to_one_hot ... ok test_1Drfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_grad_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_irfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_norm_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_params (theano.tensor.tests.test_fft.TestFFT) ... ok test_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_rfft_float (theano.tensor.tests.test_fft.TestFFT) ... ok test_gradient (theano.tensor.tests.test_fourier.TestFourier) ... SKIP: Skipping test: test_gradient: Complex grads not enabled, see #178 test_infer_shape (theano.tensor.tests.test_fourier.TestFourier) ... ok test_perform (theano.tensor.tests.test_fourier.TestFourier) ... ok theano.tensor.tests.test_gc.test_no_reuse ... ok theano.tensor.tests.test_gc.test_gc_never_pickles_temporaries ... ok In the original merge optimization, the following graph took ... ok test_grad_inc_set (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok Increments or sets part of a tensor by a scalar using full slice and ... ok Increments or sets part of a tensor by a scalar using full slice and ... ok test_wrong_broadcast (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok test_wrong_dims (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok test0 (theano.tensor.tests.test_io.T_load_tensor) ... ok test1 (theano.tensor.tests.test_io.T_load_tensor) ... ok test_invalid_modes (theano.tensor.tests.test_io.T_load_tensor) ... ok test_memmap (theano.tensor.tests.test_io.T_load_tensor) ... ok test_keepdims (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok test_norm (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok numpy arrays don't compare equal like other python objects ... ok theano.tensor.tests.test_misc.test_bug_2009_06_02_trac_387 ... ok Regression test for a bug where output was borrowed by mistake. ... ok theano.tensor.tests.test_misc.test_deepcopied_type_filter ... ok theano.tensor.tests.test_mpi.test_recv ... ok theano.tensor.tests.test_mpi.test_send ... ok theano.tensor.tests.test_mpi.test_can_make_function ... ok theano.tensor.tests.test_mpi.test_mpi_roundtrip ... ok theano.tensor.tests.test_mpi.test_mpi_send_wait_cmp ... ok theano.tensor.tests.test_mpi.test_mpi_tag_ordering ... ok theano.tensor.tests.test_mpi.test_mpi_schedule ... ok test_non_square_matrix (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok test_numpy_compare (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok test_non_tensorial_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_numpy_compare (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_tensor_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_wrong_type_of_ord_for_matrix (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_wrong_type_of_ord_for_vector (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_correct_solution (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok test_wrong_coefficient_matrix (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok test_wrong_rcond_dimension (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_Eig) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eig) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_grad (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_grad (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok test_inverse_correctness (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok test_alloc_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_alloc_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_extract_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_extract_diag_empty (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_extract_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok theano.tensor.tests.test_nlinalg.test_pseudoinverse_correctness ... ok theano.tensor.tests.test_nlinalg.test_matrix_dot ... ok theano.tensor.tests.test_nlinalg.test_qr_modes ... ok theano.tensor.tests.test_nlinalg.test_svd ... ok theano.tensor.tests.test_nlinalg.test_tensorsolve ... ok theano.tensor.tests.test_nlinalg.test_inverse_singular ... ok theano.tensor.tests.test_nlinalg.test_inverse_grad ... ok theano.tensor.tests.test_nlinalg.test_det ... ok theano.tensor.tests.test_nlinalg.test_det_grad ... ok theano.tensor.tests.test_nlinalg.test_det_shape ... ok theano.tensor.tests.test_nlinalg.test_trace ... ok test_local_useless_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok test_rebroadcast_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok test_local_useless_tile (theano.tensor.tests.test_opt.T_Tile) ... ok test (theano.tensor.tests.test_opt.T_cast_cast) ... ok test optimization for consecutive functional inverses ... ok test_local_erf_minus_one (theano.tensor.tests.test_opt.T_local_erf) ... ok test_local_one_minus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok test_local_one_plus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok test opt: (-1)+erfc(-x)=>erf(x) ... ok test_local_grad_log_erfc_neg (theano.tensor.tests.test_opt.T_local_erfc) ... ok test_local_log_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok test opt: 1-erfc(x) => erf(x) and -erfc(x)+1 => erf(x) ... ok test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok test_local_reduce_broadcast_all_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_broadcast_all_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_broadcast_some_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_broadcast_some_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_join (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_sum_prod_all_to_none (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_sum_prod_alloc (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_sum_prod_mul_by_scalar (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_sum_prod_mul_by_scalar_stack_trace (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok Test that local_sum_sum works when specifying dtypes manually. ... ok Test that local_sum_sum works when combining two sums on an int8 array. ... ok test_local_sum_sum_prod_prod (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_prod_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok test_local_sum_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok test_local_div_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok test_local_mul_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok test_add (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_eq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_identity (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_mul (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_neq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_local_useless_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok test_nested_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok test_nested_gpu (theano.tensor.tests.test_opt.TestCompositeCodegen) ... SKIP: cuda not available Tests removing the extra floor_div by 1 introduced by ... ok Simple test case for removing dividing by 1 ... ok Simple test case for removing dividing by a tensor of ones ... ok test_infer_shape (theano.tensor.tests.test_opt.TestMakeVector) ... ok test_make_vector (theano.tensor.tests.test_opt.TestMakeVector) ... ok test_scalar (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector2 (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector_dim (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector_dim_err (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_infer_shape (theano.tensor.tests.test_opt.TestShape_i) ... ok test_perform (theano.tensor.tests.test_opt.TestShape_i) ... ok test_local_reshape (theano.tensor.tests.test_opt.Test_Reshape) ... ok test_advancedincsubtensor1_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor1_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor1_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_dot_allocs_0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_incsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_incsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_incsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs1t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs2 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_matrix_col (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok test_matrix_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok test_row_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok test0 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test1 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test2 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test_useless_alloc_with_shape_one (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test_error (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_multi_input_single_alloc (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_remove_alloc_w_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_remove_alloc_wo_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_1 (theano.tensor.tests.test_opt.Test_local_reshape_to_dimshuffle) ... ok test_and (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_equality_shapes (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_local_useless_elemwise_comparison (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_or (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_shape_add_inequality (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_shape_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_stacktrace (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_xor (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_advanced_inc_subtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok test_advanced_inc_subtensor1 (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok test_incsubtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok test_0 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok test_1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok test_2 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok test_basic (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_broadcasted (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_different_dtypes (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_fewer_dims (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_multiple_idx (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_not_applied (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test0 (theano.tensor.tests.test_opt.test_assert) ... ok test_infer_shape (theano.tensor.tests.test_opt.test_assert) ... ok test_local_remove_all_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok test_local_remove_useless_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok test_local_remove_useless_assert3 (theano.tensor.tests.test_opt.test_assert) ... ok test_test_local_remove_useless_assert2 (theano.tensor.tests.test_opt.test_assert) ... ok test that if we have ... ok Regression test for bug in canonicalization of NaN values. ... ok test those case take from the comment in Canonizer ... SKIP: Not implemented verify that the Canonizer merge sequential Elemwise({mul,add}) part 1 ... ok verify that the Canonizer merge sequential Elemwise({mul,add}) part 2. ... SKIP: Current implementation of Canonizer does not implement all cases. Skip the corresponding test. test_muldiv (theano.tensor.tests.test_opt.test_canonize) ... ok test those case take from the comment in Canonizer ... ok test_multiple_case_that_fail (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Current implementation of Canonizer does not implement all cases. Skip the corresponding test. test_dimshuffle_on_broadcastable (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_double_transpose (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_elim3 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_merge2 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_recursive_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_useless_dimshuffle (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_elemwise_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok test_elemwise_fusion_4d (theano.tensor.tests.test_opt.test_fusion) ... ok test_fusion_35inputs (theano.tensor.tests.test_opt.test_fusion) ... ok test_fusion_inplace (theano.tensor.tests.test_opt.test_fusion) ... ok test_gpu_fusion (theano.tensor.tests.test_opt.test_fusion) ... SKIP: cuda not available test_gpu_fusion_Xd (theano.tensor.tests.test_opt.test_fusion) ... SKIP: cuda not available In the past, pickle of Composite generated in tha case ... ok test_kording_bug (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok test_main (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok test0 (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok test_assert (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok test_stack_trace (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok test_elemwise (theano.tensor.tests.test_opt.test_local_merge_switch_same_cond) ... ok test0 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test0b (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test1 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test2 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test3 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test4 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test5 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test6 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test7 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test_AdvancedSubtensor1_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_scalar_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_slice_idx_step (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_slice_idx_stop (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_stack_trace (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_const (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const_general (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_none_index (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_none_slice (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_broadcast1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_broadcast2 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_broadcast3 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_const0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_const1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_left_is_right (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_shape_le_0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test0 (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok test_broadcasted_dims (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok test_constant (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok This test the error in gh-1122 that is a caused by the ... ok test_local_track_shape_i (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok test_no_cycle (theano.tensor.tests.test_opt.test_shapeoptimizer) ... SKIP: cuda not available test_no_shapeopt (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok theano.tensor.tests.test_opt.test_local_useless_dimshuffle_in_reshape ... ok theano.tensor.tests.test_opt.test_add_canonizer_problem0 ... ok theano.tensor.tests.test_opt.test_local_merge_abs ... ok theano.tensor.tests.test_opt.test_merge_abs_bugfix ... ok Test that int division is preserved ... ok theano.tensor.tests.test_opt.test_const_type_in_mul_canonizer ... ok theano.tensor.tests.test_opt.test_log1p ... ok theano.tensor.tests.test_opt.test_log_add ... SKIP: log(add(exp)) is not stabilized when adding more than 2 elements, see #623 theano.tensor.tests.test_opt.test_local_useless_slice ... ok theano.tensor.tests.test_opt.test_local_useless_inc_subtensor ... ok theano.tensor.tests.test_opt.test_local_useless_subtensor ... ok theano.tensor.tests.test_opt.test_local_subtensor_remove_broadcastable_index ... ok theano.tensor.tests.test_opt.test_local_IncSubtensor_serialize ... ok theano.tensor.tests.test_opt.test_local_set_to_inc_subtensor ... ok theano.tensor.tests.test_opt.test_local_subtensor_of_dot ... ok theano.tensor.tests.test_opt.test_local_subtensor_of_alloc ... ok theano.tensor.tests.test_opt.test_local_fill_useless ... ok theano.tensor.tests.test_opt.test_local_elemwise_sub_zeros ... ok theano.tensor.tests.test_opt.test_local_mul_specialize ... ok theano.tensor.tests.test_opt.test_local_pow_specialize ... ok theano.tensor.tests.test_opt.test_local_pow_specialize_device_more_aggressive_on_cpu ... ok Test that constant folding get registered at fast_compile ... ok Currently Theano enable the constant_folding optimization before stabilization optimization. ... SKIP: Theano optimizes constant before stabilization. This breaks stabilization optimization in some cases. See #504. theano.tensor.tests.test_opt.test_local_join_1 ... ok theano.tensor.tests.test_opt.test_local_join_empty ... ok theano.tensor.tests.test_opt.test_local_join_make_vector ... ok theano.tensor.tests.test_opt.test_local_add_specialize ... ok theano.tensor.tests.test_opt.test_local_tensor_scalar_tensor ... ok theano.tensor.tests.test_opt.test_local_scalar_tensor_scalar ... ok theano.tensor.tests.test_opt.test_local_div_to_inv ... ok theano.tensor.tests.test_opt.test_local_useless_split ... ok theano.tensor.tests.test_opt.test_local_flatten_lift ... ok theano.tensor.tests.test_opt.test_local_reshape_lift ... ok theano.tensor.tests.test_opt.test_local_upcast_elemwise_constant_inputs ... ok theano.tensor.tests.test_opt.test_assert_op_gradient ... ok Tests 0/x -> 0 ... ok theano.tensor.tests.test_opt.test_local_sumsqr2dot ... ok theano.tensor.tests.test_opt.test_local_expm1 ... ok theano.tensor.tests.test_opt.test_local_merge_alloc ... ok theano.tensor.tests.test_opt.test_local_useless_alloc ... ok theano.tensor.tests.test_opt.test_local_log_sum_exp1 ... ok theano.tensor.tests.test_opt.test_local_log_sum_exp2 ... ok theano.tensor.tests.test_opt.test_local_log_sum_exp3 ... ok test_optimization (theano.tensor.tests.test_opt_uncanonicalize.T_max_and_argmax) ... ok test_optimization_max (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok test_optimization_min (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_alloc_dimshuffle ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_reshape_dimshuffle ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_alloc ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_subtensor ... ok Test that arguments to RandomFunction are honored ... ok test_basic_usage (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.binomial generates the same results ... ok test_binomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_broadcast_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.choice generates the same ... ok test_default_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_dtype (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_dtype_normal_uniform_687 (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_infer_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_inplace_norun (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that FAST_RUN includes the random_make_inplace optimization ... ok test_mixed_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_mixed_shape_bcastable (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.multinomial generates the same ... ok test_multinomial_tensor3_a (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_multinomial_tensor3_b (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_multinomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that when not running inplace, the RandomState is ... ok Test that raw_random.normal generates the same results as numpy. ... ok test_normal_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.permutation generates the same ... ok Test that raw_random.permutation_helper generates the same ... ok test_pkl (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.poisson generates the same ... ok Test that random_function helper function accepts argument ndim ... ok Test that random_function helper function accepts ndim_added as ... ok Test if random_function helper works with args but without shape ... ok Test if random_function helper works without args or shape ... ok test_random_integers (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_random_integers_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_symbolic_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.uniform generates the same results as numpy. ... ok test_uniform_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_vector_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_basics (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_binomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_broadcast_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.choice generates the same results as numpy ... ok test_default_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_default_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_default_updates (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_get_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_get_value_internal_type (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_getitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_mixed_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_mixed_shape_bcastable (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.multinomial generates the same results as numpy ... ok test_multinomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that when we have multiple random number generators, we do not alias ... ok Test that the behaviour of 'ndim' optional parameter ... ok Test that RandomStreams.normal generates the same results as numpy ... ok test_normal_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.permutation generates the same results as numpy ... ok Test that RandomStreams.poisson generates the same results as numpy ... ok test_random_integers (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_random_integers_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that random state can be transferred from one theano graph to another. ... ok test_seed_fn (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_set_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_setitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_shared_constructor_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.shuffle_row_elements generates the right results ... ok test_symbolic_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_tutorial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.uniform generates the same results as numpy ... ok test_uniform_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_vector_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that get_value return the same type as what was gived when creating the shared variable ... ok We test that if the SharedVariable implement it we do inplace set_value ... ok test_return_internal_type (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shape_i (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shared_do_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shared_dont_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_specify_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_specify_shape_inplace (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_specify_shape_partial (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok Test the type.values_eq[_approx] function ... ok theano.tensor.tests.test_sharedvar.test_scalar_shared_options ... ok test_numpy_2d (theano.tensor.tests.test_slinalg.TestKron) ... ok test_perform (theano.tensor.tests.test_slinalg.TestKron) ... ok test_infer_shape (theano.tensor.tests.test_slinalg.test_Solve) ... ok test_solve_correctness (theano.tensor.tests.test_slinalg.test_Solve) ... ok test_solve_dtype (theano.tensor.tests.test_slinalg.test_Solve) ... ok test_solve_grad (theano.tensor.tests.test_slinalg.test_Solve) ... ok theano.tensor.tests.test_slinalg.test_cholesky(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok theano.tensor.tests.test_slinalg.test_cholesky(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok theano.tensor.tests.test_slinalg.test_cholesky(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_eigvalsh ... ok theano.tensor.tests.test_slinalg.test_eigvalsh_grad ... ok theano.tensor.tests.test_slinalg.test_expm ... ok theano.tensor.tests.test_slinalg.test_expm_grad_1 ... ok theano.tensor.tests.test_slinalg.test_expm_grad_2 ... ok theano.tensor.tests.test_slinalg.test_expm_grad_3 ... ok test_sort (theano.tensor.tests.test_sort.TensorInferShapeTester) ... ok test1 (theano.tensor.tests.test_sort.test_sort) ... ok test2 (theano.tensor.tests.test_sort.test_sort) ... ok test3 (theano.tensor.tests.test_sort.test_sort) ... ok test4 (theano.tensor.tests.test_sort.test_sort) ... ok test5 (theano.tensor.tests.test_sort.test_sort) ... ok test_None (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_negative_axis_2d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_negative_axis_3d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_negative_axis_4d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_none_axis (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_nonnegative_axis_2d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_nonnegative_axis_3d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_nonnegative_axis_4d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_vector (theano.tensor.tests.test_sort.test_sort) ... ok theano.tensor.tests.test_sort.test_argsort ... ok theano.tensor.tests.test_sort.test_argsort_grad ... ok test0_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_0_dims (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_err_bounds (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_err_subslice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_range_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_err_bounds0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_err_bounds1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_col (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_cols_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_row (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_rows_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test3_ok_mat (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim_1_2dval_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim_1_2dval_no_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim_2didx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv_constant_arg (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) ok test_adv_sub1_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv_sub1_idx_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok Test advanced increment and set. ... ok test_ellipsis (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_err_bound_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_err_invalid_2list_dtype (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_err_invalid_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_0d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_1d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_2d_inc_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_advanced_inc_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok Test increment and set with broadcast ... ok test_list_slice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_long (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_long_too_big (theano.tensor.tests.test_subtensor.T_subtensor) ... ok newaxis support comes from logic in the __getitem__ of TensorType ... ok test_noncontiguous_idx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_ok_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_shape_i_const (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_shape_i_scalar (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_shape_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_2 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_3 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_4 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_5 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_6 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_symbol (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_take (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_wrong_exception_regression (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv_sub_3d (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) ok test_adv_subtensor_w_int_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_matrix_and_int (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_matrix_and_none (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_none_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_slice_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_advanced_indexing (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_grad (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor1_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_w_2vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_with_index_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_into_mat_w_row (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_into_vec_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_w_int_and_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_1d_inc_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_1d_inc_adv_selection_w_broadcasting (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_1d_set_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_assigning_matrix_to_vector_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_inc_bcastableidx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_matrix_idx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_adv_sub (theano.tensor.tests.test_subtensor.TestInferShape) ... ok test_infer_shape (theano.tensor.tests.test_subtensor.TestInferShape) ... ok theano.tensor.tests.test_type_other.test_make_slice_merge ... ok Tests equals ... ok test_err (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok test_simple (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok test_subtensor (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok theano.tensor.tests.test_utils.test_hash_from_ndarray ... ok theano.tensor.tests.test_var.test_numpy_method ... ok theano.tensor.tests.test_var.test_empty_list_indexing ... ok theano.tensor.tests.test_var.test_copy ... ok theano.tensor.tests.test_var.test_None_dimShuffle_replace ... ok test0 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok test1 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok test2 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok test3 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok test_correct_answer (theano.typed_list.tests.test_basic.TestMakeList) ... ok test_wrong_shape (theano.typed_list.tests.test_basic.TestMakeList) ... ok test_inplace (theano.typed_list.tests.test_basic.test_append) ... ok test_interfaces (theano.typed_list.tests.test_basic.test_append) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_append) ... ok test_interface (theano.typed_list.tests.test_basic.test_count) ... ok test_non_tensor_type (theano.typed_list.tests.test_basic.test_count) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_count) ... ok test_sparse (theano.typed_list.tests.test_basic.test_count) ... ok test_inplace (theano.typed_list.tests.test_basic.test_extend) ... ok test_interface (theano.typed_list.tests.test_basic.test_extend) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_extend) ... ok test_constant_input (theano.typed_list.tests.test_basic.test_get_item) ... ok test_interface (theano.typed_list.tests.test_basic.test_get_item) ... ok test_sanity_check_single (theano.typed_list.tests.test_basic.test_get_item) ... ok test_sanity_check_slice (theano.typed_list.tests.test_basic.test_get_item) ... ok test_wrong_input (theano.typed_list.tests.test_basic.test_get_item) ... ok test_interface (theano.typed_list.tests.test_basic.test_index) ... ok test_non_tensor_type (theano.typed_list.tests.test_basic.test_index) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_index) ... ok test_sparse (theano.typed_list.tests.test_basic.test_index) ... ok test_inplace (theano.typed_list.tests.test_basic.test_insert) ... ok test_interface (theano.typed_list.tests.test_basic.test_insert) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_insert) ... ok test_interface (theano.typed_list.tests.test_basic.test_length) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_length) ... ok test_inplace (theano.typed_list.tests.test_basic.test_remove) ... ok test_interface (theano.typed_list.tests.test_basic.test_remove) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_remove) ... ok test_inplace (theano.typed_list.tests.test_basic.test_reverse) ... ok test_interface (theano.typed_list.tests.test_basic.test_reverse) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_reverse) ... ok test_append_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_extend_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_insert_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_remove_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_reverse_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok theano.typed_list.tests.test_opt.test_constant_folding ... ok Testing nested list with one level of depth ... ok Nested list with different depth aren't the same ... ok test for comparison between uneven nested list ... ok Simple test on typed list type filter ... ok test case for get_depth utilitary function ... ok Test checking if values contained are themselves ... ok test for the 'depth' optionnal argument ... ok Typed List Value should raises an error ... ok Typed list types should only be equal ... ok test_variable_is_Typed_List_variable (theano.typed_list.tests.test_type.test_typed_list_type) ... ok Typed list type should raises an ... ok Typed list type should raises an ... ok test_scipy_paper_example1 (theano.tests.diverse_tests.T_scipy) ... ok This just sees if things compile well and if they run ... ok theano.tests.test_2nd_order_grads.test001_jacobian_vector ... ok theano.tests.test_2nd_order_grads.test002_jacobian_matrix ... ok theano.tests.test_2nd_order_grads.test003_jacobian_scalar ... ok theano.tests.test_2nd_order_grads.test004_hessian ... ok Test that disconnected inputs are properly handled by jacobian. ... ok test_connection_pattern (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_fprop (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_grad (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_infer_shape (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_invalid_default (theano.tests.test_config.T_config) ... ok theano.tests.test_determinism.test_determinism_1 ... ok Tests that one can compose two theano functions when the outputs are ... ok Tests that debug mode works where outputs is a dictionary. ... ok Tests that debug mode works where the outputs argument is a list. ... ok Tests that named variables work when outputs is a dictionary ... ok Tests that an exception is thrown if a non-string key is used in ... ok Tests that theano.function works when outputs is a dictionary ... ok Test that theano.function works if outputs is a list. ... ok Tests that the output keys are sorted correctly. ... ok Test if flake8 is respected. ... SKIP: flake8 is not installed test_grad (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python2.7/unittest/case.py:329: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. testMethod() ok test_op_removed (theano.tests.test_gradient.TestConsiderConstant) ... ok test_connection_pattern (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_disconnected_paths (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_grad (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_op_removed (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_grad (theano.tests.test_gradient.TestZeroGrad) ... ok test_op_removed (theano.tests.test_gradient.TestZeroGrad) ... ok test_disconnected_nan (theano.tests.test_gradient.test_grad) ... ok test_downcast_dtype (theano.tests.test_gradient.test_grad) ... ok test_grad_constant (theano.tests.test_gradient.test_grad) ... ok test_grad_cubic (theano.tests.test_gradient.test_grad) ... ok test_grad_disconnected (theano.tests.test_gradient.test_grad) ... ok test_grad_duplicate_input (theano.tests.test_gradient.test_grad) ... ok test_grad_grad_cubic (theano.tests.test_gradient.test_grad) ... ok test_grad_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok test_grad_int (theano.tests.test_gradient.test_grad) ... ok test_grad_name (theano.tests.test_gradient.test_grad) ... ok test_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok test_grad_quadratic_vector (theano.tests.test_gradient.test_grad) ... ok test_undefined_grad_func (theano.tests.test_gradient.test_grad) ... ok test_undefined_grad_grad (theano.tests.test_gradient.test_grad) ... ok test_unimplemented_grad_func (theano.tests.test_gradient.test_grad) ... ok test_unimplemented_grad_grad (theano.tests.test_gradient.test_grad) ... ok Test grad is called correctly for a 1-to-1 op ... ok Test grad is called correctly for a 1-to-many op ... ok Test grad is called correctly for a many-to-1 op ... ok Test grad is called correctly for a many-to-many op ... ok Test that it is not ok to return None from op.grad() ... ok Test that it is not ok to return the wrong number of gradient terms ... ok theano.tests.test_gradient.test_known_grads ... ok theano.tests.test_gradient.test_dxdx ... ok theano.tests.test_gradient.test_known_grads_integers ... ok theano.tests.test_gradient.test_undefined_cost_grad ... ok theano.tests.test_gradient.test_disconnected_cost_grad ... ok theano.tests.test_gradient.test_subgraph_grad ... ok theano.tests.test_gradient.test_grad_clip ... ok test_broadcast_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok test_dtype_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok test_grad_cast_input (theano.tests.test_ifelse.test_ifelse) ... ok test_grad_int_value (theano.tests.test_ifelse.test_ifelse) ... ok test_grad_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok Regression test for test values of `ifelse` gradient. ... ok test_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok test_lazy_if_on_generics (theano.tests.test_ifelse.test_ifelse) ... ok test_merge (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_merge_ifs_true_false (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_mixed_dtype (theano.tests.test_ifelse.test_ifelse) ... ok test_multiple_out (theano.tests.test_ifelse.test_ifelse) ... ok test_multiple_out_crash (theano.tests.test_ifelse.test_ifelse) ... ok test_multiple_out_grad (theano.tests.test_ifelse.test_ifelse) ... ok test_ndim_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok test_not_lazy_if_inplace (theano.tests.test_ifelse.test_ifelse) ... ok test_pushout1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_pushout2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_pushout3 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_remove_useless_inputs1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_remove_useless_inputs2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_sparse_tensor_error (theano.tests.test_ifelse.test_ifelse) ... ok theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_with_reoptimization ... ok theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_without_reoptimization ... ok This is a REALLY PARTIAL TEST. ... SKIP: pydot not available theano.tests.test_printing.test_pydotprint_return_image ... SKIP: pydot not available This is a REALLY PARTIAL TEST. ... SKIP: pydot not available Just check that pydotprint does not crash with profile. ... SKIP: pydot not available evaluates a reference output to make sure the ... ok theano.tests.test_printing.test_debugprint ... ok theano.tests.test_printing.test_scan_debugprint1 ... ok theano.tests.test_printing.test_scan_debugprint2 ... ok theano.tests.test_printing.test_scan_debugprint3 ... ok theano.tests.test_printing.test_scan_debugprint4 ... ok theano.tests.test_printing.test_scan_debugprint5 ... ok theano.tests.test_printing.test_printing_scan ... SKIP: pydot not available theano.tests.test_printing.test_subtensor ... ok Tests that when we record a sequence of events, then ... ok Tests that when we record a sequence of events, then ... ok Like test_record_good, but some events are recorded by the ... ok Like test_record_bad, but some events are recorded by the ... ok test_Rop_dot_bug_18Oct2013_Jeremiah (theano.tests.test_rop.test_RopLop) ... ok test_alloc (theano.tests.test_rop.test_RopLop) ... ok test_argmax (theano.tests.test_rop.test_RopLop) ... ok test_conv (theano.tests.test_rop.test_RopLop) ... ok test_dimshuffle (theano.tests.test_rop.test_RopLop) ... ok test_dot (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. test_downsample (theano.tests.test_rop.test_RopLop) ... ok test_elemwise0 (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. test_elemwise1 (theano.tests.test_rop.test_RopLop) ... ok test_flatten (theano.tests.test_rop.test_RopLop) ... ok test_incsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok test_incsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok test_invalid_input (theano.tests.test_rop.test_RopLop) ... ok test_join (theano.tests.test_rop.test_RopLop) ... ok test_max (theano.tests.test_rop.test_RopLop) ... ok test_multiple_outputs (theano.tests.test_rop.test_RopLop) ... ok test_print (theano.tests.test_rop.test_RopLop) ... ok test_rebroadcast (theano.tests.test_rop.test_RopLop) ... ok test_reshape (theano.tests.test_rop.test_RopLop) ... ok test_setsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok test_setsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok test_shape (theano.tests.test_rop.test_RopLop) ... ok test_softmax (theano.tests.test_rop.test_RopLop) ... ok test_specifyshape (theano.tests.test_rop.test_RopLop) ... ok test_subtensor (theano.tests.test_rop.test_RopLop) ... ok test_sum (theano.tests.test_rop.test_RopLop) ... ok test_updates_add (theano.tests.test_updates.test_ifelse) ... ok test_updates_init (theano.tests.test_updates.test_ifelse) ... ok test_updates_setitem (theano.tests.test_updates.test_ifelse) ... ok ---------------------------------------------------------------------- Ran 5485 tests in 14884.267s OK (SKIP=730) 0.0581646137166 0.0581646137166 0.0581646137166 0.0581646137166 I: pybuild base:184: PYTHONPATH=. python3.6 bin/theano-nose -v /<>/theano-0.9.0+dfsg/theano/misc/pycuda_init.py:35: UserWarning: PyCUDA import failed in theano.misc.pycuda_init warnings.warn("PyCUDA import failed in theano.misc.pycuda_init") /<>/theano-0.9.0+dfsg/theano/sandbox/gpuarray/__init__.py:10: UserWarning: theano.sandbox.gpuarray has been moved to theano.gpuarray. Please update your code and pickles. If the warning persists, clear theano's cache ('$theano/bin/theano-cache clear'). warnings.warn(message) test_connection_pattern_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_connection_pattern_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_grad_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_infer_shape (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_nested_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_nested_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_rop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_shared_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_size_changes_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_size_changes_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_straightforward_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_straightforward_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok test_aliased_outputs_bad (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_aliased_outputs_ok (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_aliased_outputs_ok_output (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_aliased_outputs_ok_shadow (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_badviewmap_c (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_badviewmap_ref (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_badviewmap_slice (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_goodviewmap (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok test_check_isfinite (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok test_check_isfinite_disabled (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok test_f_contiguous (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok test_f_contiguous_out (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok test_output_broadcast_cuda (theano.compile.tests.test_debugmode.Test_preallocated_output) ... SKIP: Optional package Cuda disabled test_output_broadcast_tensor (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok theano.compile.tests.test_debugmode.test0 ... ok theano.compile.tests.test_debugmode.test_badthunkoutput ... ok theano.compile.tests.test_debugmode.test_badoptimization ... ok This variant of test_badoptimization() replace the working code ... ok theano.compile.tests.test_debugmode.test_stochasticoptimization ... ok theano.compile.tests.test_debugmode.test_just_c_code ... ok theano.compile.tests.test_debugmode.test_baddestroymap ... ok theano.compile.tests.test_debugmode.test_baddestroymap_c ... ok test_explicit_shared_input (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_allow_downcast_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_allow_downcast_int (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_allow_downcast_vector_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_mutable (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_shared_variable (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_strict (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_update (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_update_shared (theano.compile.tests.test_function.TestFunctionIn) ... ok test_in_update_wrong_dtype (theano.compile.tests.test_function.TestFunctionIn) ... ok theano.compile.tests.test_function.test_function_dump ... ok Tests that the contract for io.In is respected. When borrow=False, it should be ... ok test_borrow_output (theano.compile.tests.test_function_module.T_function) ... ok test_constant_output (theano.compile.tests.test_function_module.T_function) ... ok test_copy (theano.compile.tests.test_function_module.T_function) ... ok test_copy_delete_updates (theano.compile.tests.test_function_module.T_function) ... ok test_copy_share_memory (theano.compile.tests.test_function_module.T_function) ... ok Check that default values are restored ... ok test_disconnected_input (theano.compile.tests.test_function_module.T_function) ... ok test_empty (theano.compile.tests.test_function_module.T_function) ... ok test_extra_inputs (theano.compile.tests.test_function_module.T_function) ... ok Make test on free() function ... ok Ensure error is raised when trying to replace an input variable. ... ok test_input_anon_singleton (theano.compile.tests.test_function_module.T_function) ... ok test_input_anon_unpack (theano.compile.tests.test_function_module.T_function) ... ok test_masked_input (theano.compile.tests.test_function_module.T_function) ... ok test_missing_inputs (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule0 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule1 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule2 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule3 (theano.compile.tests.test_function_module.T_function) ... ok test_naming_rule4 (theano.compile.tests.test_function_module.T_function) ... ok test_none (theano.compile.tests.test_function_module.T_function) ... SKIP: See #254: Using None as function output leads to [] return value test_same_names (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state0 (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state1 (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state2 (theano.compile.tests.test_function_module.T_function) ... ok test_shared_state_not_implicit (theano.compile.tests.test_function_module.T_function) ... ok test_state_access (theano.compile.tests.test_function_module.T_function) ... ok test_swap_SharedVariable (theano.compile.tests.test_function_module.T_function) ... ok A special testcase for logistic_sgd.py in Deep Learning Tutorial ... ok test_weird_names (theano.compile.tests.test_function_module.T_function) ... ok test_broken_pickle_with_shared (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_deepcopy (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_deepcopy_shared_container (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_multiple_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_optimizations_preserved (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_pickle (theano.compile.tests.test_function_module.T_picklefunction) ... ok test_pickle_class_with_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok Regression test for bug fixed in 8625e03. ... ok test_function_name (theano.compile.tests.test_function_name.FunctionName) ... ok test_nnet (theano.compile.tests.test_misc.TestNnet) ... ok theano.compile.tests.test_mode.test_no_output_from_implace ... ok theano.compile.tests.test_mode.test_including ... ok test1 (theano.compile.tests.test_modes.T_bunch_of_modes) ... ok test_1 (theano.compile.tests.test_modes.T_old_problem) ... ok Test the code snippet example that detects NaN values. ... ok Test that we can remove optimizer ... ok Test that we can remove optimizers including inplace optimizers ... ok theano.compile.tests.test_nanguardmode.test_NanGuardMode ... /<>/theano-0.9.0+dfsg/theano/compile/nanguardmode.py:168: RuntimeWarning: All-NaN slice encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) /<>/theano-0.9.0+dfsg/theano/compile/nanguardmode.py:168: RuntimeWarning: All-NaN axis encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) ok test_1arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok test_2arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok test_infer_shape (theano.compile.tests.test_ops.OpDecoratorTests) ... ok test_pickle (theano.compile.tests.test_ops.OpDecoratorTests) ... ok theano.compile.tests.test_ops.test_shape_i_hash ... ok test_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_0 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_1 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_2 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_no_aliasing_2b (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_partial_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_potential_output_aliasing_induced_by_updates (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_shared_constructor_copies (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_sparse_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok test_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_allow_input_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_clone0 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_scalar_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_chained (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_expressions (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_multiple (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_default_updates_partial_graph (theano.compile.tests.test_pfunc.Test_pfunc) ... ok Ensure the code given in pfunc.txt works as expected ... ok test_duplicate_inputs (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_duplicate_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_givens (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_givens_replaces_shared_variable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_givens_replaces_shared_variable2 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_no_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok Test that shared variables cannot be used as function inputs. ... ok test_param_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_allow_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_allow_downcast_vector_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_param_strict (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_shared (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_shared_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok Test update mechanism in different settings. ... ok test_update_equiv (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_update_err_broadcast (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test_update_same (theano.compile.tests.test_pfunc.Test_pfunc) ... ok test1 (theano.compile.tests.test_pfunc.Test_rebuild_strict) ... ok test_ifelse (theano.compile.tests.test_profiling.Test_profiling) ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:851: UserWarning: CVM does not support memory profile, using Stack VM. 'CVM does not support memory profile, using Stack VM.') ok test_profiling (theano.compile.tests.test_profiling.Test_profiling) ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:851: UserWarning: CVM does not support memory profile, using Stack VM. 'CVM does not support memory profile, using Stack VM.') ok test_create_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_ctors (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_err_symbolic_variable (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_scalar_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_scalar_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_strict_generic (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_tensor_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_tensor_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok test_use_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok Failure: SkipTest (pydot not available: Install the python package pydot or pydot-ng. Install graphviz.) ... SKIP: pydot not available: Install the python package pydot or pydot-ng. Install graphviz. Failure: SkipTest (pydot not available: Install the python package pydot or pydot-ng. Install graphviz.) ... SKIP: pydot not available: Install the python package pydot or pydot-ng. Install graphviz. theano.gof.tests.test_cc.test_clinker_straightforward ... ok theano.gof.tests.test_cc.test_clinker_literal_inlining ... ok theano.gof.tests.test_cc.test_clinker_literal_cache ... ok theano.gof.tests.test_cc.test_clinker_single_node ... ok theano.gof.tests.test_cc.test_clinker_dups ... ok theano.gof.tests.test_cc.test_clinker_not_used_inputs ... ok theano.gof.tests.test_cc.test_clinker_dups_inner ... ok theano.gof.tests.test_cc.test_opwiseclinker_straightforward ... ok theano.gof.tests.test_cc.test_opwiseclinker_constant ... ok theano.gof.tests.test_cc.test_duallinker_straightforward ... ok theano.gof.tests.test_cc.test_duallinker_mismatch ... ok theano.gof.tests.test_cc.test_c_fail_error ... ok theano.gof.tests.test_cc.test_shared_input_output ... ok When an op with c_code, but no version. If we have 2 apply node ... ok theano.gof.tests.test_cmodule.test_flag_detection ... ok theano.gof.tests.test_compiledir.test_short_platform ... ok test_compute_flag (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_constant (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_disabled_during_compilation (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_empty_elemwise (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_incorrect_type (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_ndarray (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_no_c_code (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_no_perform (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_overided_function (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok Test the compute_test_value mechanism Scan. ... ok test_scan_err1 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_scan_err2 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_shared (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_string_var (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok test_variable_only (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok theano.gof.tests.test_destroyhandler.test_misc ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs_replacement ... ok theano.gof.tests.test_destroyhandler.test_indestructible ... ok theano.gof.tests.test_destroyhandler.test_usage_loop_through_views_2 ... ok theano.gof.tests.test_destroyhandler.test_destroyers_loop ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs2 ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate ... ok theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate2 ... ok theano.gof.tests.test_destroyhandler.test_same_aliased_inputs_ignored ... ok theano.gof.tests.test_destroyhandler.test_different_aliased_inputs_ignored ... ok theano.gof.tests.test_destroyhandler.test_indestructible_through_views ... ok theano.gof.tests.test_destroyhandler.test_indirect ... ok theano.gof.tests.test_destroyhandler.test_indirect_2 ... ok theano.gof.tests.test_destroyhandler.test_long_destroyers_loop ... ok theano.gof.tests.test_destroyhandler.test_misc_2 ... ok theano.gof.tests.test_destroyhandler.test_multi_destroyers ... ok theano.gof.tests.test_destroyhandler.test_multi_destroyers_through_views ... ok theano.gof.tests.test_destroyhandler.test_repair_destroy_path ... ok theano.gof.tests.test_destroyhandler.test_usage_loop ... ok theano.gof.tests.test_destroyhandler.test_usage_loop_through_views ... ok theano.gof.tests.test_destroyhandler.test_usage_loop_insert_views ... ok theano.gof.tests.test_destroyhandler.test_value_repl ... ok theano.gof.tests.test_destroyhandler.test_value_repl_2 ... ok theano.gof.tests.test_destroyhandler.test_multiple_inplace ... ok test_clone (theano.gof.tests.test_fg.TFunctionGraph) ... ok test_constant_cache_error (theano.gof.tests.test_fg.TFunctionGraph) ... ok test_node_outputs_not_used (theano.gof.tests.test_fg.TFunctionGraph) ... ok test_pickle (theano.gof.tests.test_fg.TFunctionGraph) ... ok theano.gof.tests.test_graph.TestAutoName.test_auto_name ... ok theano.gof.tests.test_graph.TestAutoName.test_clone ... ok theano.gof.tests.test_graph.TestAutoName.test_constant ... ok theano.gof.tests.test_graph.TestAutoName.test_cudandarrayvariable ... ok theano.gof.tests.test_graph.TestAutoName.test_randomvariable ... ok theano.gof.tests.test_graph.TestAutoName.test_sparsevariable ... ok theano.gof.tests.test_graph.TestAutoName.test_tensorvariable ... ok theano.gof.tests.test_graph.TestClone.test_accurate ... ok theano.gof.tests.test_graph.TestClone.test_copy ... ok theano.gof.tests.test_graph.TestClone.test_not_destructive ... ok test_eval (theano.gof.tests.test_graph.TestEval) ... ok theano.gof.tests.test_graph.TestInputs.test_inputs ... ok theano.gof.tests.test_graph.TestInputs.test_inputs_deep ... ok Test `is_same_graph` with more complex graphs. ... ok Test `is_same_graph` when `equal_computations` cannot be used. ... ok Test `is_same_graph` with some trivial graphs (one Variable). ... ok theano.gof.tests.test_graph.TestStr.test_as_string ... ok theano.gof.tests.test_graph.TestStr.test_as_string_deep ... ok theano.gof.tests.test_graph.TestStr.test_cutoff ... ok theano.gof.tests.test_graph.TestStr.test_multiple_references ... ok Test a simple graph ... ok Test a graph with double dependencies ... ok Test a graph where the inputs have owners ... ok Test a graph which is not connected ... ok Test inputs and outputs mixed together in a chain graph ... ok Test when outputs have clients ... ok theano.gof.tests.test_graph_opt_caching.test_graph_opt_caching ... rm: cannot remove '/<>/theano-0.9.0+dfsg/.pybuild/compiledir_Linux-4.4--generic-i686-athlon-with-Ubuntu-18.04-bionic-athlon-3.6.3-32/optimized_graphs.pkl': No such file or directory ok theano.gof.tests.test_lazy.test_ifelse ... ok theano.gof.tests.test_lazy.more_complex_test ... ok test_constant (theano.gof.tests.test_link.TestPerformLinker) ... ok test_function (theano.gof.tests.test_link.TestPerformLinker) ... ok test_input_dependency0 (theano.gof.tests.test_link.TestPerformLinker) ... ok test_input_output_same (theano.gof.tests.test_link.TestPerformLinker) ... ok test_skiphole (theano.gof.tests.test_link.TestPerformLinker) ... ok test_thunk (theano.gof.tests.test_link.TestPerformLinker) ... ok test_0 (theano.gof.tests.test_link.TestWrapLinker) ... ok test_1 (theano.gof.tests.test_link.TestWrapLinker) ... ok theano.gof.tests.test_link.test_sort_schedule_fn ... ok This is a test to a work around a NumPy bug. ... ok test_no_c_code (theano.gof.tests.test_op.TestMakeThunk) ... ok test_no_make_node (theano.gof.tests.test_op.TestMakeThunk) ... ok test_no_perform (theano.gof.tests.test_op.TestMakeThunk) ... ok theano.gof.tests.test_op.TestOp.test_op_no_input ... ok theano.gof.tests.test_op.TestOp.test_op_struct ... ok theano.gof.tests.test_op.TestOp.test_sanity_0 ... ok theano.gof.tests.test_op.TestOp.test_validate ... ok theano.gof.tests.test_op.test_test_value_python_objects ... ok theano.gof.tests.test_op.test_test_value_ndarray ... ok theano.gof.tests.test_op.test_test_value_constant ... ok theano.gof.tests.test_op.test_test_value_shared ... ok theano.gof.tests.test_op.test_test_value_op ... ok get_debug_values should return [] when debugger is off ... ok get_debug_values should return [] when debugger is ignore ... ok tests that get_debug_value returns values when available ... ok tests that get_debug_value raises an exception when ... ok tests that debug_error_message raises an ... ok theano.gof.tests.test_opt.TestEquilibrium.test_1 ... ok theano.gof.tests.test_opt.TestEquilibrium.test_2 ... ok theano.gof.tests.test_opt.TestEquilibrium.test_low_use_ratio ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_both_assert_merge_identical ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_constant_merging ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_deep_merge ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_identical_constant_args ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_noinput ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_outputs ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_multiple_merges ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_no_merge ... ok theano.gof.tests.test_opt.TestMergeOptimizer.test_straightforward ... ok theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward ... ok theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward_2 ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_ambiguous ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_constant_unification ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_constraints ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_eq ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_expand ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same_illegal ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_multi ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_multiple ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_even ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_odd ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_out_pattern ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_no_recurse ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_output ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_subgraph ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_1 ... ok theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_2 ... ok theano.gof.tests.test_opt.test_pre_constant_merge_slice ... ok test_0 (theano.gof.tests.test_optdb.Test_DB) ... ok theano.gof.tests.test_sched.test_dependence ... ok theano.gof.tests.test_sched.test_sort_apply_nodes ... ok theano.gof.tests.test_sched.test_reverse_dict ... ok theano.gof.tests.test_sched.test__toposort ... ok theano.gof.tests.test_sched.test_posort_easy ... ok theano.gof.tests.test_sched.test_posort ... ok theano.gof.tests.test_toolbox.TestNodeFinder.test_straightforward ... ok theano.gof.tests.test_types.test_cdata ... ok theano.gof.tests.test_utils.test_give_variables_names ... ok theano.gof.tests.test_utils.test_give_variables_names_idempotence ... ok theano.gof.tests.test_utils.test_give_variables_names_small ... ok theano.gof.tests.test_utils.test_remove ... ok theano.gof.tests.test_utils.test_stack_trace ... ok test_callback (theano.gof.tests.test_vm.TestCallbacks) ... ok test_callback_with_ifelse (theano.gof.tests.test_vm.TestCallbacks) ... ok theano.gof.tests.test_vm.test_c_thunks ... ok theano.gof.tests.test_vm.test_speed ... ok theano.gof.tests.test_vm.test_speed_lazy ... ok theano.gof.tests.test_vm.test_partial_function ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:854: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok theano.gof.tests.test_vm.test_partial_function_with_output_keys ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:854: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok theano.gof.tests.test_vm.test_partial_function_with_updates ... /<>/theano-0.9.0+dfsg/theano/gof/vm.py:854: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' /<>/theano-0.9.0+dfsg/theano/gof/vm.py:854: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok theano.gof.tests.test_vm.test_allow_gc_cvm ... ok This already caused a bug in the trunk of Theano. ... ok theano.gof.tests.test_vm.test_reallocation ... ok Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag1 ... ok theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag2 ... /<>/theano-0.9.0+dfsg/theano/gpuarray/type.py:829: UserWarning: config.experimental.unpickle_gpu_on_cpu is set to True. Unpickling GpuArray as numpy.ndarray "config.experimental.unpickle_gpu_on_cpu is set to True. " ok Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed Failure: SkipTest (gnumpy not installed. Skip test of theano op with pycuda code.) ... SKIP: gnumpy not installed. Skip test of theano op with pycuda code. Failure: SkipTest (gnumpy not installed. Skip test related to it.) ... SKIP: gnumpy not installed. Skip test related to it. theano.misc.tests.test_may_share_memory.test_may_share_memory ... ok theano.misc.tests.test_may_share_memory.test_may_share_memory_scipy ... ok test_dump_load (theano.misc.tests.test_pkl_utils.T_dump_load) ... SKIP: Optional package cuda disabled test_dump_load_mrg (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok test_dump_zip_names (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok test0 (theano.misc.tests.test_pkl_utils.TestStripPickler) ... ok Failure: SkipTest (Pycuda not installed. Skip test of theano op with pycuda code.) ... SKIP: Pycuda not installed. Skip test of theano op with pycuda code. Failure: SkipTest (Pycuda not installed. We skip tests of Theano Ops with pycuda code.) ... SKIP: Pycuda not installed. We skip tests of Theano Ops with pycuda code. Failure: SkipTest (Pycuda not installed. Skip test of theano op with pycuda code.) ... SKIP: Pycuda not installed. Skip test of theano op with pycuda code. Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda not available) ... SKIP: Optional package cuda not available Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda not available) ... SKIP: Optional package cuda not available Failure: SkipTest (Optional package cuda not available) ... SKIP: Optional package cuda not available Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled Failure: SkipTest (Optional package cuda disabled) ... SKIP: Optional package cuda disabled theano.sandbox.cuda.tests.test_viewop.test_viewop_gpu ... SKIP: Optional package cuda disabled theano.sandbox.linalg.tests.test_linalg.test_rop_lop ... ok theano.sandbox.linalg.tests.test_linalg.test_spectral_radius_bound ... ok theano.sandbox.linalg.tests.test_linalg.test_transinv_to_invtrans ... ok theano.sandbox.linalg.tests.test_linalg.test_tag_solve_triangular ... ok theano.sandbox.linalg.tests.test_linalg.test_matrix_inverse_solve ... ok theano.sandbox.tests.test_multinomial.test_n_samples_1 ... ok theano.sandbox.tests.test_multinomial.test_n_samples_2 ... ok This test checks if the new change to MultinomialFromUniform is still compatible ... ok theano.sandbox.tests.test_multinomial.test_multinomial_0 ... ok theano.sandbox.tests.test_multinomial.test_multinomial_large ... ok theano.sandbox.tests.test_multinomial.test_multinomial_dtypes ... ok theano.sandbox.tests.test_multinomial.test_gpu_opt ... SKIP: Optional package cuda not available Tests that MultinomialWOReplacementFromUniform fails when asked to sample more ... ok Tests that MultinomialWOReplacementFromUniform always selects distinct elements ... ok Tests that MultinomialWOReplacementFromUniform selects elements, on average, ... ok Tests that multinomial_wo_replacement fails when asked to sample more ... /<>/theano-0.9.0+dfsg/theano/sandbox/rng_mrg.py:1522: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' ok Tests that multinomial_wo_replacement always selects distinct elements ... /<>/theano-0.9.0+dfsg/theano/sandbox/rng_mrg.py:1522: UserWarning: MRG_RandomStreams.multinomial_wo_replacement() is deprecated and will be removed in the next release of Theano. Please use MRG_RandomStreams.choice() instead. warnings.warn('MRG_RandomStreams.multinomial_wo_replacement() is ' ok Tests that multinomial_wo_replacement selects elements, on average, ... ok Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed test_straightforward (theano.scalar.tests.test_basic.test_ScalarOps) ... ok test_fail (theano.scalar.tests.test_basic.test_complex_mod) ... ok test_composite_clone_float32 (theano.scalar.tests.test_basic.test_composite) ... ok test_composite_printing (theano.scalar.tests.test_basic.test_composite) ... ok test_flatten (theano.scalar.tests.test_basic.test_composite) ... ok test_make_node_continue_graph (theano.scalar.tests.test_basic.test_composite) ... ok test_many_outputs (theano.scalar.tests.test_basic.test_composite) ... ok test_straightforward (theano.scalar.tests.test_basic.test_composite) ... ok test_with_constants (theano.scalar.tests.test_basic.test_composite) ... ok test_0 (theano.scalar.tests.test_basic.test_div) ... ok test_and (theano.scalar.tests.test_basic.test_logical) ... ok test_eq (theano.scalar.tests.test_basic.test_logical) ... ok test_ge (theano.scalar.tests.test_basic.test_logical) ... ok test_gt (theano.scalar.tests.test_basic.test_logical) ... ok test_le (theano.scalar.tests.test_basic.test_logical) ... ok test_lt (theano.scalar.tests.test_basic.test_logical) ... ok test_neq (theano.scalar.tests.test_basic.test_logical) ... ok test_not (theano.scalar.tests.test_basic.test_logical) ... ok test_or (theano.scalar.tests.test_basic.test_logical) ... ok test_xor (theano.scalar.tests.test_basic.test_logical) ... ok test_arctan2 ... ok theano.scalar.tests.test_basic.test_upgrade_to_float.test_true_div ... ok test_inv ... ok test_sqrt ... ok test_log ... ok test_log2 ... ok test_log10 ... ok test_log1p ... ok test_exp ... ok test_exp2 ... ok test_expm1 ... ok test_deg2rad ... ok test_rad2deg ... ok test_cos ... ok test_arccos ... ok test_cosh ... ok test_arccosh ... ok test_sin ... ok test_arcsin ... ok test_sinh ... ok test_arcsinh ... ok test_tan ... ok test_arctan ... ok test_tanh ... ok test_arctanh ... ok theano.scalar.tests.test_basic.test_grad_gt ... ok theano.scalar.tests.test_basic.test_grad_switch ... ok theano.scalar.tests.test_basic.test_grad_identity ... ok theano.scalar.tests.test_basic.test_grad_inrange ... ok theano.scalar.tests.test_basic.test_grad_abs ... ok theano.scalar.tests.test_basic.test_constant ... ok Failure: SkipTest (optional package sympy disabled) ... SKIP: optional package sympy disabled test_divide_floats (theano.scalar.tests.test_div_future.test_FutureDiv) ... ok test_divide_floats (theano.scalar.tests.test_div_no_future.test_FutureDiv) ... ok test_alloc_inputs1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_alloc_inputs2 (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: This tests depends on an optimization for scan that has not been implemented yet. test_alloc_inputs3 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok test_borrow_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok test_bugFunctioProvidesIntermediateNodesAsInputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_clone (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_no_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_no_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_not_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_not_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_cloning_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_computing_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok Test connection_pattern() in the presence of recurrent outputs ... ok test_connection_pattern2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_crash_nonseq_grad (theano.scan_module.tests.test_scan.T_Scan) ... ok test_disconnected_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok test_disconnected_gradient2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_disconnected_gradient3 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_dot_optimization (theano.scan_module.tests.test_scan.T_Scan) ... ok test_draw_as_input_to_scan (theano.scan_module.tests.test_scan.T_Scan) ... ok test_eliminate_nonseqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_eliminate_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_foldl_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok test_foldr_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok test_generator_one_output_scalar (theano.scan_module.tests.test_scan.T_Scan) ... ok test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_bug_disconnected_input (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_connectivity_matrix (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_dtype_change (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_duplicate_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_duplicate_outputs_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_find_input (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_grad_mitsot_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_disconnected (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_disconnected_2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_truncate (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_some_uncomputable (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... . . . ok test_grad_multiple_outs_taps_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_seqs_different_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_multiple_taps_state (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_numeric_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_of_grad_of_state (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_of_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_one_output (theano.scan_module.tests.test_scan.T_Scan) ... ok test_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... ok test_hash (theano.scan_module.tests.test_scan.T_Scan) ... ok test_hessian_bug_grad_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... . ok test_infer_shape (theano.scan_module.tests.test_scan.T_Scan) ... ok test_infer_shape2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_infershape_nsteps_smaller_seq_length (theano.scan_module.tests.test_scan.T_Scan) ... ok test_infershape_seq_shorter_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: This is a generic problem with infershape that has to be discussed and figured out test_inner_storage_leak (theano.scan_module.tests.test_scan.T_Scan) ... ok test_inplace1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_inplace2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_inplace3 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_map (theano.scan_module.tests.test_scan.T_Scan) ... ok test_map_functionality (theano.scan_module.tests.test_scan.T_Scan) ... ok test_memory_aliasing_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok test_memory_reuse_with_outputs_as_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_merge (theano.scan_module.tests.test_scan.T_Scan) ... ok test_merge_3scans (theano.scan_module.tests.test_scan.T_Scan) ... ok test_monitor_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok test_multiple_inputs_multiple_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_oinp_iinp_iout_oout_mappings (theano.scan_module.tests.test_scan.T_Scan) ... ok test_one_sequence_one_output_weights (theano.scan_module.tests.test_scan.T_Scan) ... ok test_one_sequence_one_output_weights_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_only_nonseq_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_only_shared_no_input_no_output (theano.scan_module.tests.test_scan.T_Scan) ... ok Verify that scan optimizations are applied before blas ... ok test_outputs_info_not_typed (theano.scan_module.tests.test_scan.T_Scan) ... SKIP: Skipping test: test_outputs_info_not_typed: This test fails because not typed outputs_info are always gived the smallest dtype. There is no upcast of outputs_info in scan for now. test_past_future_taps_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pickling (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pregreedy_optimizer (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_all (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_dot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_nomodif (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_nonseq (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_seqs2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_pushout_while (theano.scan_module.tests.test_scan.T_Scan) ... ok test_reduce (theano.scan_module.tests.test_scan.T_Scan) ... ok test_reduce_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok test_remove_constants_and_unused_inputs_scan_non_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_remove_constants_and_unused_inputs_scan_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok test_remove_stuff (theano.scan_module.tests.test_scan.T_Scan) ... ok test_reordering (theano.scan_module.tests.test_scan.T_Scan) ... ok test_return_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_rop (theano.scan_module.tests.test_scan.T_Scan) ... ok test_rop2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_rop_mitmot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_same (theano.scan_module.tests.test_scan.T_Scan) ... ok test_save_mem (theano.scan_module.tests.test_scan.T_Scan) ... ok test_save_mem_reduced_number_of_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_save_mem_store_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok test_savemem_does_not_duplicate_number_of_scan_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok test_savemem_opt (theano.scan_module.tests.test_scan.T_Scan) ... ok test_savemem_opt_0_step (theano.scan_module.tests.test_scan.T_Scan) ... ok Bug reported by cityhall on scan when computing the gradients ... ok test_scan_extra_inputs_hessian (theano.scan_module.tests.test_scan.T_Scan) ... ok test_scan_merge_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok Scan outputs are usually lists, whose entries correspond to the ... ok test_seq_tap_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok test_sequence_dict (theano.scan_module.tests.test_scan.T_Scan) ... ok test_shared_arguments_with_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok test_shared_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok test_simple_shared_mrg_random (theano.scan_module.tests.test_scan.T_Scan) ... ok test_simple_shared_random (theano.scan_module.tests.test_scan.T_Scan) ... ok test_strict_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok test_strict_mode_ex (theano.scan_module.tests.test_scan.T_Scan) ... ok test_subtensor_multiple_slices (theano.scan_module.tests.test_scan.T_Scan) ... ok test_use_scan_direct_output (theano.scan_module.tests.test_scan.T_Scan) ... ok test_use_scan_direct_output2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_using_negative_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok test_using_taps_input_output (theano.scan_module.tests.test_scan.T_Scan) ... ok test_using_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok test_verify_second_grad_mitsot1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_verify_second_grad_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while0 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while1 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while2 (theano.scan_module.tests.test_scan.T_Scan) ... ok test_while_infershape (theano.scan_module.tests.test_scan.T_Scan) ... ok test_consistent_inner_fct (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_inconsistent_inner_fct (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Cuda) ... SKIP: Optional package cuda disabled test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed test_raise_error (theano.scan_module.tests.test_scan.TestInconsistentBroadcast) ... ok theano.scan_module.tests.test_scan.test_speed ... ok theano.scan_module.tests.test_scan.test_speed_rnn ... ok theano.scan_module.tests.test_scan.test_speed_batchrnn ... ok theano.scan_module.tests.test_scan.test_compute_test_value ... ok theano.scan_module.tests.test_scan.test_compute_test_value_nonseq ... ok theano.scan_module.tests.test_scan.test_compute_test_value_grad ... ok theano.scan_module.tests.test_scan.test_compute_test_value_grad_cast ... ok theano.scan_module.tests.test_scan.test_constant_folding_n_steps ... ok Checks that errors are raised with bad output_info taps. ... ok theano.scan_module.tests.test_scan.test_default_value_broadcasted ... ok Test gradient computation of A**k. ... ok Test forward computation of A**k. ... ok Test that scan_checkpoint reduces memory usage. ... SKIP: Requires pygpu. Test that an error rises if we use taps in outputs_info. ... ok test_batch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok test_nobatch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok Test the case where the vector input to the dot is already a nitsot ... ok Test the case where the vector input to the dot is not already an ... ok Test the case where the vector input to the dot is not already a ... ok This test case comes from https://github.com/rizar/scan-grad-speed and ... ok Test the case where the initial value for the nitsot output is ... ok test_leaf (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_leaf_inside_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_opfromgraph (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_scan_with_shared_update (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok test_scan_with_shared_update2 (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok theano.scan_module.tests.test_scan_utils.test_equal_compuations ... ok test_convolution (theano.sparse.sandbox.test_sp.TestSP) ... ok test_maxpool (theano.sparse.sandbox.test_sp.TestSP) ... ok test_multilayer_conv (theano.sparse.sandbox.test_sp.TestSP) ... ok test_grad (theano.sparse.tests.test_basic.AddSSDataTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.AddSSDataTester) ... ok test_op (theano.sparse.tests.test_basic.AddSSDataTester) ... ok test_grad (theano.sparse.tests.test_basic.ArcsinTester) ... ok test_op (theano.sparse.tests.test_basic.ArcsinTester) ... ok test_grad (theano.sparse.tests.test_basic.ArcsinhTester) ... ok test_op (theano.sparse.tests.test_basic.ArcsinhTester) ... ok test_grad (theano.sparse.tests.test_basic.ArctanTester) ... ok test_op (theano.sparse.tests.test_basic.ArctanTester) ... ok test_grad (theano.sparse.tests.test_basic.ArctanhTester) ... ok test_op (theano.sparse.tests.test_basic.ArctanhTester) ... ok test_cast (theano.sparse.tests.test_basic.CastTester) ... /usr/lib/python3/dist-packages/scipy/sparse/data.py:68: ComplexWarning: Casting complex values to real discards the imaginary part return self._with_data(self._deduped_data().astype(t)) /<>/theano-0.9.0+dfsg/theano/sparse/tests/test_basic.py:2434: ComplexWarning: Casting complex values to real discards the imaginary part expected = data.toarray().astype(o_dtype) ok test_grad (theano.sparse.tests.test_basic.CastTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.CastTester) ... ok test_op (theano.sparse.tests.test_basic.CeilTester) ... ok test_grad (theano.sparse.tests.test_basic.CleanTester) ... ok test_op (theano.sparse.tests.test_basic.CleanTester) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok test_grad (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok test_op (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok test_op (theano.sparse.tests.test_basic.ConjTester) ... ok test_grad (theano.sparse.tests.test_basic.Deg2radTester) ... ok test_op (theano.sparse.tests.test_basic.Deg2radTester) ... ok test_grad (theano.sparse.tests.test_basic.DiagTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.DiagTester) ... ok test_op (theano.sparse.tests.test_basic.DiagTester) ... ok test_csc_dense (theano.sparse.tests.test_basic.DotTests) ... ok test_csr_dense (theano.sparse.tests.test_basic.DotTests) ... ok test_csr_dense_grad (theano.sparse.tests.test_basic.DotTests) ... ok test_cuda (theano.sparse.tests.test_basic.DotTests) ... SKIP: Optional package cuda not available test_int32_dtype (theano.sparse.tests.test_basic.DotTests) ... ok test_sparse_sparse (theano.sparse.tests.test_basic.DotTests) ... ok test_grad (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok test_op (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok test_grad (theano.sparse.tests.test_basic.Expm1Tester) ... ok test_op (theano.sparse.tests.test_basic.Expm1Tester) ... ok test_op (theano.sparse.tests.test_basic.FloorTester) ... ok test_grad (theano.sparse.tests.test_basic.HStackTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.HStackTester) ... ok test_op (theano.sparse.tests.test_basic.HStackTester) ... ok test_grad (theano.sparse.tests.test_basic.Log1pTester) ... ok test_op (theano.sparse.tests.test_basic.Log1pTester) ... ok test_mul_s_v (theano.sparse.tests.test_basic.MulSVTester) ... ok test_mul_s_v_grad (theano.sparse.tests.test_basic.MulSVTester) ... ok test_grad (theano.sparse.tests.test_basic.Rad2degTester) ... ok test_op (theano.sparse.tests.test_basic.Rad2degTester) ... ok test_grad (theano.sparse.tests.test_basic.Remove0Tester) ... ok test_infer_shape (theano.sparse.tests.test_basic.Remove0Tester) ... ok test_remove0 (theano.sparse.tests.test_basic.Remove0Tester) ... ok test_op (theano.sparse.tests.test_basic.RintTester) ... ok test_grad (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok test_op (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok test_grad (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_negative_stride (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_op (theano.sparse.tests.test_basic.SamplingDotTester) ... ok test_op (theano.sparse.tests.test_basic.SgnTester) ... ok test_grad (theano.sparse.tests.test_basic.SinTester) ... ok test_op (theano.sparse.tests.test_basic.SinTester) ... ok test_grad (theano.sparse.tests.test_basic.SinhTester) ... ok test_op (theano.sparse.tests.test_basic.SinhTester) ... ok test_grad (theano.sparse.tests.test_basic.SpSumTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.SpSumTester) ... ok test_op (theano.sparse.tests.test_basic.SpSumTester) ... ok test_add_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_add_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_csm (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_csm_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_dense_from_sparse (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_getitem_2d (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for GetItem2d yet test_getitem_scalar (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_mul_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_mul_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_neg (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_remove0 (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_sparse_from_dense (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_sparse_from_list (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_structured_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_structured_dot_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for the grad of structured_dot test_transpose (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok test_grad (theano.sparse.tests.test_basic.SqrTester) ... ok test_op (theano.sparse.tests.test_basic.SqrTester) ... ok test_grad (theano.sparse.tests.test_basic.SqrtTester) ... ok test_op (theano.sparse.tests.test_basic.SqrtTester) ... ok test_grad (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok test_op (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok test_structured_add_s_v (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok test_structured_add_s_v_grad (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredAddTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredAddTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredExpTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredExpTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredLogTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredLogTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredPowTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredPowTester) ... ok test_grad (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok test_op (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok testAddDS (theano.sparse.tests.test_basic.T_AddMul) ... ok testAddSD (theano.sparse.tests.test_basic.T_AddMul) ... ok testAddSS (theano.sparse.tests.test_basic.T_AddMul) ... ok testMulDS (theano.sparse.tests.test_basic.T_AddMul) ... ok testMulSD (theano.sparse.tests.test_basic.T_AddMul) ... ok testMulSS (theano.sparse.tests.test_basic.T_AddMul) ... ok test_dense_from_sparse (theano.sparse.tests.test_basic.T_conversion) ... ok test_format_ndim (theano.sparse.tests.test_basic.T_conversion) ... ok test_todense (theano.sparse.tests.test_basic.T_conversion) ... ok test_transpose_csc (theano.sparse.tests.test_basic.T_transpose) ... ok test_transpose_csr (theano.sparse.tests.test_basic.T_transpose) ... ok test_grad_fail (theano.sparse.tests.test_basic.T_verify_grad_sparse) ... ok test_grad (theano.sparse.tests.test_basic.TanTester) ... ok test_op (theano.sparse.tests.test_basic.TanTester) ... ok test_grad (theano.sparse.tests.test_basic.TanhTester) ... ok test_op (theano.sparse.tests.test_basic.TanhTester) ... ok test_adv_sub1_sparse_grad (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok test_err (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok test_GetItem2D (theano.sparse.tests.test_basic.Test_getitem) ... SKIP: Slicing with step is supported. test_GetItem2Lists (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItem2Lists_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItemList (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItemList_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok test_GetItemScalar (theano.sparse.tests.test_basic.Test_getitem) ... ok test_get_item_2lists_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... ok test_grad (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_op_sd (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_op_ss (theano.sparse.tests.test_basic.TrueDotTester) ... ok test_grad (theano.sparse.tests.test_basic.TruncTester) ... ok test_op (theano.sparse.tests.test_basic.TruncTester) ... ok test (theano.sparse.tests.test_basic.UsmmTests) ... ok test_infer_shape (theano.sparse.tests.test_basic.UsmmTests) ... ok test_grad (theano.sparse.tests.test_basic.VStackTester) ... ok test_infer_shape (theano.sparse.tests.test_basic.VStackTester) ... ok test_op (theano.sparse.tests.test_basic.VStackTester) ... ok test_ds_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_ds_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok Test assuring normal behaviour when values ... ok test_sd_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_sd_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_ss_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:295: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. "using <, >, or !=, instead.", SparseEfficiencyWarning) ok test_ss_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok test_csm (theano.sparse.tests.test_basic.test_csm) ... ok test_csm_grad (theano.sparse.tests.test_basic.test_csm) ... ok Test support for gradients sparser than the input. ... ok Test support for gradients of unsorted inputs. ... ok test_csm_properties (theano.sparse.tests.test_basic.test_csm_properties) ... ok test_csm_properties_grad (theano.sparse.tests.test_basic.test_csm_properties) ... ok Test that get_value return the same type as what was gived when creating the shared variable ... ok We test that if the SharedVariable implement it we do inplace set_value ... ok test_return_internal_type (theano.sparse.tests.test_basic.test_shared_options) ... ok test_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shape_i (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shared_do_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok test_shared_dont_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok test_specify_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok test_specify_shape_inplace (theano.sparse.tests.test_basic.test_shared_options) ... ok test_specify_shape_partial (theano.sparse.tests.test_basic.test_shared_options) ... ok Test the type.values_eq[_approx] function ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok test_csc_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok test_csr_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok test_dot_sparse_sparse (theano.sparse.tests.test_basic.test_structureddot) ... ok test_opt_unpack (theano.sparse.tests.test_basic.test_structureddot) ... ok test_structureddot_csc_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok test_structureddot_csr_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok test_upcast (theano.sparse.tests.test_basic.test_structureddot) ... ok test (theano.sparse.tests.test_basic.test_zeros_like) ... ok theano.sparse.tests.test_basic.test_shape_i ... ok theano.sparse.tests.test_basic.test_shape ... ok theano.sparse.tests.test_basic.test_may_share_memory ... ok theano.sparse.tests.test_basic.test_sparse_shared_memory ... ok Ensure the `size` attribute of sparse matrices behaves as in numpy. ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:774: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok Tests sparse.hstack and sparse.vstack (as opposed to the HStack and VStack ... ok theano.sparse.tests.test_opt.test_local_csm_properties_csm ... ok theano.sparse.tests.test_opt.test_local_csm_grad_c ... SKIP: Opt disabled as it don't support unsorted indices theano.sparse.tests.test_opt.test_local_mul_s_d ... ok theano.sparse.tests.test_opt.test_local_mul_s_v ... ok theano.sparse.tests.test_opt.test_local_structured_add_s_v ... ok theano.sparse.tests.test_opt.test_local_sampling_dot_csr ... ok theano.sparse.tests.test_opt.test_local_dense_from_sparse_sparse_from_dense ... ok theano.sparse.tests.test_opt.test_sd_csc ... ok test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester) ... ok test_op (theano.sparse.tests.test_sp2.BinomialTester) ... ok test_infer_shape (theano.sparse.tests.test_sp2.MultinomialTester) ... ok test_op (theano.sparse.tests.test_sp2.MultinomialTester) ... ok test_infer_shape (theano.sparse.tests.test_sp2.PoissonTester) ... ok test_op (theano.sparse.tests.test_sp2.PoissonTester) ... ok theano.sparse.tests.test_type.test_sparse_type ... ok theano.sparse.tests.test_utils.test_hash_from_sparse ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestAbstractConvNoOptim.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... ok test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertConvShape) ... ok test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv2d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv3d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv3d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok test_shape_check_conv3d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok Test 1D kernels used in bilinear upsampling ... ok Test 2D kernels used in bilinear upsampling ... ok Test bilinear upsampling using 1D kernels ... ok test_bilinear_upsampling_reshaping (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok Compare 1D and 2D upsampling ... ok Test conv2d_transpose wrapper. ... ok test_check_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok test_get_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok test_constant_input (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok test_grad_types (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'full', True, True, (1, 1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'valid', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 2) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, (0, 2, 1), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCorrConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 3) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 6, 6), (5, 1, 2, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((8, 1, 8, 8), (4, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 7, 7), (2, 1, 3, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((6, 1, 10, 11), (1, 1, 2, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((2, 1, 6, 5), (4, 1, 1, 3), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (1, 2)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 2), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'valid', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'half', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), 'full', True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (0, 0), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (1, 1), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 5), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (2, 4), (5, 2), True, True, (2, 1)) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 5, 9, 9), (4, 5, 3, 2), (1, 1), (0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((0, 1, 6, 6), (1, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 0, 6, 6), (1, 0, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_all((1, 1, 6, 6), (0, 1, 2, 2), (1, 1), (0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'valid', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 8, 8), (1, 1), 'full', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'valid', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 9, 9), (1, 1), 'full', True, True, (1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'valid', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'half', True, True, (1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7), (2, 1, 3, 3), (2, 2, 12, 12), (1, 1), 'full', True, True, (1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 1, 1), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 1, 1), (1, 1, 2, 2), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 2, 2), (1, 1, 1, 1), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 2, 2), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 4, 4), (1, 1, 3, 3), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 7, 7), (1, 1, 3, 3), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'valid', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'half', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 1) ... SKIP: Inconsistent shapes are not tested for old cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, 'full', 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 2, (0, 2), 2) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 3, (0, 2), 1) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv2d.test_gradinput_impossible_output_shapes((1, 1, 9, 9), (1, 1, 5, 5), 1, (0, 2), 3) ... SKIP: No dilation implementation for basic cpu ConvOp. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((2, 1, 5, 5, 5), (2, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 1, 1)) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (1, 2, 1)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (2, 2, 2), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'valid', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'half', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), 'full', True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (0, 0, 0), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 2, 3), (2, 2, 3), True, True, (2, 1, 2)) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), True, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 2, 7, 5, 6), (1, 2, 2, 1, 3), (1, 1, 1), (0, 0, 0), False, True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((0, 1, 5, 5, 5), (1, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 0, 5, 5, 5), (1, 0, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, True) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_all((1, 1, 5, 5, 5), (0, 1, 2, 2, 2), (1, 1, 1), (0, 0, 0), True, False) ... SKIP: Not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 8, 8, 8), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 9, 9, 9), (1, 1, 1), 'full', True, True, (1, 1, 1), False) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'valid', True, True, (1, 1, 1), True) ... SKIP: Inconsistent shapes are not tested for old cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'half', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_arbitrary_output_shapes((2, 1, 7, 7, 7), (1, 1, 3, 3, 3), (2, 1, 12, 12, 12), (1, 1, 1), 'full', True, True, (1, 1, 1), True) ... ok theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 1, 1, 1), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 2, 2, 2), (1, 1, 1, 1, 1), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 2, 2, 2), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 4, 4, 4), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 7, 7, 7), (1, 1, 3, 3, 3), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'valid', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'valid', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'valid', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'half', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'half', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'half', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, 'full', 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, 'full', 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, 'full', 3) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 2, (0, 2, 1), 2) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 3, (0, 2, 1), 1) ... SKIP: No dilation implementation for basic cpu Conv3D. theano.tensor.nnet.tests.test_abstract_conv.TestCpuConv3d.test_gradinput_impossible_output_shapes((1, 1, 9, 9, 9), (1, 1, 5, 5, 5), 1, (0, 2, 1), 3) ... SKIP: No dilation implementation for basic cpu Conv3D. test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok test_basic_3d (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok theano.tensor.nnet.tests.test_abstract_conv.test_constant_shapes ... ok test_dot_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok Compares the numpy version of sparseblockgemv to sparse_block_dot. ... ok Compares the numpy and theano versions of sparseblockgemv. ... ok Test the fortan order for W (which can happen in the grad for some ... ok test_sparseblockgemv_grad (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_sparseblockgemv_grad_1 (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_sparseblockgemv_grad_shape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok theano.tensor.nnet.tests.test_bn.test_BNComposite ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization ... ok theano.tensor.nnet.tests.test_bn.test_bn_feature_maps ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_train ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_without_running_averages ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_broadcast ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_test ... ok theano.tensor.nnet.tests.test_bn.test_batch_normalization_broadcastable ... ok Tests that basic convolutions work for odd and even ... ok Tests that basic convolutions work for odd and even ... ok Tests basic convolution in full mode and case where filter ... ok gcc 4.3.0 20080428 (Red Hat 4.3.0-8) ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok test_infer_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok Tests that when the shape gived at build time is not the same as ... ok Test convolutions for various pieces of missing info. ... ok Tests convolution where the {image,filter}_shape is a Constant tensor. ... ok Tests convolution where subsampling != (1,1) ... ok Tests for uint datatype in filter_shape ... ok Tests for uint datatype in image_shape. ... ok Test mini-batch unrolling for various legal values. ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test kernel unrolling for various legal values. ... ok Test basic convs with False. ... ok Test basic convs with True. ... ok Test basic convs with True. ... ok (unroll_kern, unroll_batch) in (0,1),(1,0) is special case. ... ok Test convolutions when we don't give a constant as shape information ... ok Make sure errors are raised when image and kernel are not 4D tensors ... ok Tests that basic convolutions work for odd and even ... ok Tests that basic convolutions work for odd and even ... ok Tests basic convolution in full mode and case where filter ... ok gcc 4.3.0 20080428 (Red Hat 4.3.0-8) ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestDefaultConv2D) ... ok test_infer_shape (theano.tensor.nnet.tests.test_conv.TestDefaultConv2D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok Tests that when the shape gived at build time is not the same as ... ok Test convolutions for various pieces of missing info. ... ok Tests convolution where the {image,filter}_shape is a Constant tensor. ... ok Tests convolution where subsampling != (1,1) ... ok Tests for uint datatype in filter_shape ... ok Tests for uint datatype in image_shape. ... ok Test mini-batch unrolling for various legal values. ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test mini-batch unrolling with kernel unrolling for various ... ok Test kernel unrolling for various legal values. ... ok Test basic convs with False. ... ok Test basic convs with True. ... ok Test basic convs with True. ... ok (unroll_kern, unroll_batch) in (0,1),(1,0) is special case. ... ok Test convolutions when we don't give a constant as shape information ... ok Make sure errors are raised when image and kernel are not 4D tensors ... ok theano.tensor.nnet.tests.test_conv.test_broadcast_grad ... ok test_c_against_mat_mul (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_c_against_mat_transp_mul (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_c_against_python (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_c_against_sparse_mat_transp_mul (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_gradient (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok test_infer_shape (theano.tensor.nnet.tests.test_conv3d.TestConv3D) ... ok theano.tensor.nnet.tests.test_conv3d2d.test_get_diagonal_subtensor_view ... ok theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_0_valid ... ok theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_1_full ... ok theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_2_half ... ok Tests that basic correlations work for odd and even ... ok Checks dtype upcast for CorrMM methods. ... ok Tests correlation where filter dilation != (1,1) ... ok Tests basic correlation in full mode and case where filter ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok test_infer_shape_forward (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok test_non_contiguous (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok Tests correlation where the {image,filter}_shape is a Constant tensor. ... ok Tests correlation where subsampling != (1,1) ... ok Make sure errors are raised when image and kernel are not 4D tensors ... ok Tests that basic correlations work for odd and even ... ok Checks dtype upcast for Corr3dMM methods. ... ok Tests correlation where filter dilation != (1,1,1) ... ok Tests basic correlation in full mode and case where filter ... ok test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok test_infer_shape_forward (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok Tests scenario where filter_shape[1] != input_shape[1] ... ok test_non_contiguous (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok Tests correlation where the {image,filter}_shape is a Constant tensor. ... ok Tests correlation where subsampling != (1,1,1) ... ok Make sure errors are raised when image and kernel are not 5D tensors ... ok test_can_not_infer_nb_dim (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_grad_ignore_border (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_grad_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_grad_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_infer_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs2images_grad (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_bad_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_bad_shape_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_manual_step (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_valid_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_neibs_wrap_centered_step_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok test_bad_build (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_good (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_grad (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok test_crossentropy_softmax_1hot_with_bias_dxcale_cost (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_get_rid_of_advanced_indexing_version_of_xent (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_grad (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector3 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_optimize_xent_vector4 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_grad_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_grad_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_w_bias (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_w_bias2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_softmax_optimizations_w_bias_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_xent_thing_int32 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1HotGrad) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test_vectors (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test2 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test3 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_allclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_isclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok Test the Logsoftmax's grad substitution. ... ok Test the Logsoftmax substitution ... ok test_logsoftmax_grad_true_div_elemwise (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_matrix (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_vector (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test2 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test3 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_vector (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxGrad) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test1 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test2 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test3 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test_broadcast (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test_softmax_with_bias_trace (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok test0 (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok basic functionality ... ok test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok test_elemwise (theano.tensor.nnet.tests.test_nnet.T_sigmoid) ... ok test_elemwise (theano.tensor.nnet.tests.test_nnet.T_softplus) ... ok theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_1d_basic ... SKIP: Optimization not enabled for the moment theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic ... ok theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic_keepdims ... ok theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_grad ... SKIP: Optimization not enabled for the moment theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_transpose_basic ... SKIP: Optimization not enabled for the moment theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown ... ok theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown_bias ... ok This test makes sure that our functions behave sensibly when ... ok theano.tensor.nnet.tests.test_nnet.test_softmax_graph ... ok theano.tensor.nnet.tests.test_nnet.test_grad_softmax_grad ... ok theano.tensor.nnet.tests.test_nnet.test_stabilize_log_softmax ... ok theano.tensor.nnet.tests.test_nnet.test_relu ... ok Tests the output dimensions of the h_softmax when a target is provided or ... ok theano.tensor.nnet.tests.test_nnet.test_elu ... ok theano.tensor.nnet.tests.test_nnet.test_binary_crossentropy_reshape ... ok theano.tensor.nnet.tests.test_nnet.test_confusion_matrix ... ok theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_gemv_opt ... ok theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_outer_opt ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok test_elemwise (theano.tensor.nnet.tests.test_sigm.T_sigmoid) ... ok test_1msigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok test_exp_over_1_plus_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok test_grad_log1msigm (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok test_local_hard_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok Test the `local_sigm_times_exp` optimization. ... ok test_local_ultra_fast_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok Test the core function doing the `sigm_times_exp` optimization. ... ok test_compute_mul (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok test_is_1pexp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok test_parse_mul_tree (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok test_elemwise (theano.tensor.nnet.tests.test_sigm.T_softplus) ... ok test_log1msigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok test_log1pexp_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok test_logsigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok test_bad_build (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_bad_runtime (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_good (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_grad (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok test_grad_none (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok Basic functionality of nnet.conv.ConvOp is already tested by ... ok Test refers to a bug reported by Josh, when due to a bad merge these ... ok Test that conv2d fails for dimensions other than 2 or 3. ... ok test_AveragePoolGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_0 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_1 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_10 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_100 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_101 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_102 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_103 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_104 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_105 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_106 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_107 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_108 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_109 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_11 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_110 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_111 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_112 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_113 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_114 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_115 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_116 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_117 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_118 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_119 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_12 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_120 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_121 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_122 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_123 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_124 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_125 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_126 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_127 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_128 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_129 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_13 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_130 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_131 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_132 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_133 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_134 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_135 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_136 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_137 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_138 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_139 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_14 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_140 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_141 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_142 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_143 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_144 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_145 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_146 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_147 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_148 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_149 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_15 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_16 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_17 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_18 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_19 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_2 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_20 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_21 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_22 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_23 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_24 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_25 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_26 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_27 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_28 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_29 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_3 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_30 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_31 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_32 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_33 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_34 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_35 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_36 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_37 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_38 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_39 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_4 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_40 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_41 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_42 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_43 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_44 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_45 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_46 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_47 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_48 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_49 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_5 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_50 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_51 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_52 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_53 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_54 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_55 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_56 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_57 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_58 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_59 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_6 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_60 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_61 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_62 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_63 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_64 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_65 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_66 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_67 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_68 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_69 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_7 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_70 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_71 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_72 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_73 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_74 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_75 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_76 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_77 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_78 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_79 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_8 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_80 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_81 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_82 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_83 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_84 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_85 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_86 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_87 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_88 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_89 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_9 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_90 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_91 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_92 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_93 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_94 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_95 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_96 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_97 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_98 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolGrad_grad_stride_99 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_AveragePoolPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGradGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_0 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_1 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_10 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_11 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_12 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_13 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_14 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_15 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_16 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_17 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_18 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_19 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_2 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_20 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_21 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_22 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_23 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_24 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_25 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_26 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_27 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_28 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_29 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_3 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_30 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_31 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_32 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_33 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_34 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_35 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_36 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_37 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_38 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_39 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_4 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_40 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_41 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_42 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_43 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_44 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_45 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_46 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_47 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_48 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_49 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_5 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_6 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_7 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_8 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxGrad_grad_stride_9 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxPaddingStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxPaddingStride_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMaxStrideExtra (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_0 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_1 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_10 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_100 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_101 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_102 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_103 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_104 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_105 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_106 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_107 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_108 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_109 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_11 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_110 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_111 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_112 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_113 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_114 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_115 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_116 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_117 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_118 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_119 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_12 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_120 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_121 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_122 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_123 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_124 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_125 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_126 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_127 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_128 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_129 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_13 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_130 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_131 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_132 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_133 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_134 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_135 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_136 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_137 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_138 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_139 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_14 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_140 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_141 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_142 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_143 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_144 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_145 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_146 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_147 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_148 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_149 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_15 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_150 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_151 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_152 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_153 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_154 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_155 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_156 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_157 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_158 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_159 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_16 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_160 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_161 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_162 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_163 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_164 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_165 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_166 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_167 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_168 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_169 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_17 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_170 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_171 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_172 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_173 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_174 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_175 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_176 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_177 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_178 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_179 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_18 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_180 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_181 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_182 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_183 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_184 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_185 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_186 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_187 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_188 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_189 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_19 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_190 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_191 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_192 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_193 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_194 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_195 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_196 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_197 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_198 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_199 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_2 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_20 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_21 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_22 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_23 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_24 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_25 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_26 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_27 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_28 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_29 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_3 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_30 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_31 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_32 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_33 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_34 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_35 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_36 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_37 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_38 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_39 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_4 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_40 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_41 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_42 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_43 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_44 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_45 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_46 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_47 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_48 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_49 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_5 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_50 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_51 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_52 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_53 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_54 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_55 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_56 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_57 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_58 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_59 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_6 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_60 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_61 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_62 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_63 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_64 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_65 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_66 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_67 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_68 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_69 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_7 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_70 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_71 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_72 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_73 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_74 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_75 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_76 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_77 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_78 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_79 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_8 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_80 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_81 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_82 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_83 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_84 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_85 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_86 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_87 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_88 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_89 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_9 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_90 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_91 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_92 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_93 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_94 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_95 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_96 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_97 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_98 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_grad_stride_99 (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_DownsampleFactorMax_hessian (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_infer_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_2D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_2D_same_size (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_2d_6D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_3d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_max_pool_3d_3D_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:936: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:936: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:936: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) ok test_old_pool_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_out_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_pooling_with_tensor_vars (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok test_pooling_with_tensor_vars_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1120: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1120: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1120: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1136: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1136: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /<>/theano-0.9.0+dfsg/theano/tensor/signal/tests/test_pool.py:1136: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) ok Demonstrate stochastic gradient descent optimization for a multilayer ... ok test_bad_build (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AbsTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AbsTester) ... ok test_good (theano.tensor.tests.test_basic.AbsTester) ... ok test_grad (theano.tensor.tests.test_basic.AbsTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AbsTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AddInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AddTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AddTester) ... ok test_good (theano.tensor.tests.test_basic.AddTester) ... ok test_grad (theano.tensor.tests.test_basic.AddTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AddTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_good (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_good (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.AllocTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.AllocTester) ... ok test_good (theano.tensor.tests.test_basic.AllocTester) ... ok test_grad (theano.tensor.tests.test_basic.AllocTester) ... ok test_grad_none (theano.tensor.tests.test_basic.AllocTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccosTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccosTester) ... ok test_good (theano.tensor.tests.test_basic.ArccosTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccosTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccosTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_good (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_grad (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArccoshTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_good (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_grad (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ArcsinhTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_good (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Arctan2Tester) ... ok test_good 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... ok test_good (theano.tensor.tests.test_basic.LogTester) ... ok test_grad (theano.tensor.tests.test_basic.LogTester) ... ok test_grad_none (theano.tensor.tests.test_basic.LogTester) ... ok test_bad_build (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.MaximumTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.MaximumTester) ... ok test_good (theano.tensor.tests.test_basic.MaximumTester) ... ok test_grad (theano.tensor.tests.test_basic.MaximumTester) ... ok test_grad_none (theano.tensor.tests.test_basic.MaximumTester) ... ok test_bad_build (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.MinimumTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.MinimumTester) ... ok test_good (theano.tensor.tests.test_basic.MinimumTester) ... ok test_grad (theano.tensor.tests.test_basic.MinimumTester) ... ok test_grad_none (theano.tensor.tests.test_basic.MinimumTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ModInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ModInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.ModInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.ModInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ModInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ModTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ModTester) ... ok test_good (theano.tensor.tests.test_basic.ModTester) ... ok test_grad (theano.tensor.tests.test_basic.ModTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ModTester) ... ok test_bad_build (theano.tensor.tests.test_basic.MulInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.MulInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.MulInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.MulInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.MulInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.MulTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.MulTester) ... ok test_good (theano.tensor.tests.test_basic.MulTester) ... ok test_grad (theano.tensor.tests.test_basic.MulTester) ... ok test_grad_none (theano.tensor.tests.test_basic.MulTester) ... ok test_bad_build (theano.tensor.tests.test_basic.NegInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.NegInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.NegInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.NegInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.NegInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.NegTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.NegTester) ... ok test_good (theano.tensor.tests.test_basic.NegTester) ... ok test_grad (theano.tensor.tests.test_basic.NegTester) ... ok test_grad_none (theano.tensor.tests.test_basic.NegTester) ... ok test_bad_build (theano.tensor.tests.test_basic.OnesLikeTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.OnesLikeTester) ... ok test_good (theano.tensor.tests.test_basic.OnesLikeTester) ... ok test_grad (theano.tensor.tests.test_basic.OnesLikeTester) ... ok test_grad_none (theano.tensor.tests.test_basic.OnesLikeTester) ... ok test_bad_build (theano.tensor.tests.test_basic.PowInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.PowInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.PowInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.PowInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.PowInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.PowTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.PowTester) ... ok test_good (theano.tensor.tests.test_basic.PowTester) ... ok test_grad (theano.tensor.tests.test_basic.PowTester) ... ok test_grad_none (theano.tensor.tests.test_basic.PowTester) ... ok test_bad_build (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.PsiTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.PsiTester) ... ok test_good (theano.tensor.tests.test_basic.PsiTester) ... ok test_grad (theano.tensor.tests.test_basic.PsiTester) ... ok test_grad_none (theano.tensor.tests.test_basic.PsiTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.Rad2degTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.Rad2degTester) ... ok test_good (theano.tensor.tests.test_basic.Rad2degTester) ... ok test_grad (theano.tensor.tests.test_basic.Rad2degTester) ... ok test_grad_none (theano.tensor.tests.test_basic.Rad2degTester) ... ok test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok test_good (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok test_good (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok test_grad (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok test_good (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok test_grad (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SgnTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SgnTester) ... ok test_good (theano.tensor.tests.test_basic.SgnTester) ... ok test_grad (theano.tensor.tests.test_basic.SgnTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SgnTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SinInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SinInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SinInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SinInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SinInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SinTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SinTester) ... ok test_good (theano.tensor.tests.test_basic.SinTester) ... ok test_grad (theano.tensor.tests.test_basic.SinTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SinTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SinhTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SinhTester) ... ok test_good (theano.tensor.tests.test_basic.SinhTester) ... ok test_grad (theano.tensor.tests.test_basic.SinhTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SinhTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SqrTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SqrTester) ... ok test_good (theano.tensor.tests.test_basic.SqrTester) ... ok test_grad (theano.tensor.tests.test_basic.SqrTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SqrTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SqrtTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SqrtTester) ... ok test_good (theano.tensor.tests.test_basic.SqrtTester) ... ok test_grad (theano.tensor.tests.test_basic.SqrtTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SqrtTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SubInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SubTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SubTester) ... ok test_good (theano.tensor.tests.test_basic.SubTester) ... ok test_grad (theano.tensor.tests.test_basic.SubTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SubTester) ... ok test_bad_build (theano.tensor.tests.test_basic.SwitchTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.SwitchTester) ... ok test_good (theano.tensor.tests.test_basic.SwitchTester) ... ok test_grad (theano.tensor.tests.test_basic.SwitchTester) ... ok test_grad_none (theano.tensor.tests.test_basic.SwitchTester) ... ok test_broadcasted (theano.tensor.tests.test_basic.T_Choose) ... ok test_dtype_error (theano.tensor.tests.test_basic.T_Choose) ... ok test_infer_shape (theano.tensor.tests.test_basic.T_Choose) ... ok test_numpy_compare (theano.tensor.tests.test_basic.T_Choose) ... ok test_numpy_compare_tuple (theano.tensor.tests.test_basic.T_Choose) ... ok test_clip_repeat_grad (theano.tensor.tests.test_basic.T_Clip) ... ok test_clip_repeat_verify_grad (theano.tensor.tests.test_basic.T_Clip) ... ok test_complex_value (theano.tensor.tests.test_basic.T_Clip) ... ok test_get_vector_length (theano.tensor.tests.test_basic.T_GetVectorLength) ... ok Test that the broadcastable flags for the output of ... ok Test that the broadcastable flag of the join axis ... ok Test that joining together several inputs which are all ... ok test_broadcastable_flags_many_dims_and_inputs (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_broadcastable_single_input_broadcastable_dimension (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_concatenate_same (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_infer_shape_join (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok Fast test of concatenate as this is an alias for join. ... ok test_join_matrix0 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix1 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix1_using_horizontal_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix1_using_vertical_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok constant join negative axis ... ok variable join axis ... ok variable join negative axis ... ok test_join_matrix_dtypes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_matrix_ints (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_join_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_mixed_ndim_error (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_rebroadcast (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_roll (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_split_0elem (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_split_neg (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_stack_hessian (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_stack_hessian2 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_stack_mixed_type_constants (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok Test the new numpy-like interface: stack(tensors, axis=0). ... /usr/lib/python3.6/unittest/case.py:605: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead. testMethod() ok test_stack_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok Test that calling stack() on scalars instantiates MakeVector, ... ok Test that calling stack() on scalars instantiates MakeVector, ... ok Test that calling stack() on scalars instantiates MakeVector, ... ok test_stack_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_vector_len (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok test_multiple_power (theano.tensor.tests.test_basic.T_Power) ... ok test_numpy_compare (theano.tensor.tests.test_basic.T_Power) ... ok test_wrong_shape (theano.tensor.tests.test_basic.T_Power) ... ok test_basic0 (theano.tensor.tests.test_basic.T_Shape) ... ok test_basic1 (theano.tensor.tests.test_basic.T_Shape) ... ok test_basic2 (theano.tensor.tests.test_basic.T_Shape) ... ok test_complex_all_ops (theano.tensor.tests.test_basic.T_add) ... ok test_grad_col (theano.tensor.tests.test_basic.T_add) ... ok test_grad_row (theano.tensor.tests.test_basic.T_add) ... ok test_grad_scalar_l (theano.tensor.tests.test_basic.T_add) ... ok test_grad_scalar_r (theano.tensor.tests.test_basic.T_add) ... ok test2 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test2_invalid (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test2_invalid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test2_valid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test3 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_grad_argmax (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_grad_argmin (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_list (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_scalar (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok test_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_empty_dtype (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_memmap (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_ndarray_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok test_complex (theano.tensor.tests.test_basic.T_ceil) ... ok test_impls (theano.tensor.tests.test_basic.T_divimpl) ... ok test_complex (theano.tensor.tests.test_basic.T_exp) ... ok test_grad_0 (theano.tensor.tests.test_basic.T_exp) ... ok test_grad_1 (theano.tensor.tests.test_basic.T_exp) ... ok test_int (theano.tensor.tests.test_basic.T_exp) ... ok test_assert (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_copy (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_elemwise (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_get_scalar_constant_value (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_make_vector (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_numpy_array (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_second (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_shape_i (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_subtensor_of_constant (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok test_fit_int64 (theano.tensor.tests.test_basic.T_long_tensor) ... ok test_too_big (theano.tensor.tests.test_basic.T_long_tensor) ... ok test0 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test1 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2_invalid (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2_invalid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test2_valid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test3 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok The test checks that the gradient of argmax(x).sum() is 0 ... ok test_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test_multiple_axes (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test_numpy_input (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok Ensure the original broadcastable flags are preserved by Max/Argmax. ... ok test_zero_shape (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok test0 (theano.tensor.tests.test_basic.T_mean) ... ok test_list (theano.tensor.tests.test_basic.T_mean) ... ok test_mean_f16 (theano.tensor.tests.test_basic.T_mean) ... ok test_regression_mean_of_ndarray_failure (theano.tensor.tests.test_basic.T_mean) ... ok test2 (theano.tensor.tests.test_basic.T_min_max) ... ok test2_invalid (theano.tensor.tests.test_basic.T_min_max) ... ok test2_invalid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok test2_valid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok test3 (theano.tensor.tests.test_basic.T_min_max) ... ok test3b (theano.tensor.tests.test_basic.T_min_max) ... ok test_grad_max (theano.tensor.tests.test_basic.T_min_max) ... ok test_grad_min (theano.tensor.tests.test_basic.T_min_max) ... ok test_list (theano.tensor.tests.test_basic.T_min_max) ... ok test_scalar (theano.tensor.tests.test_basic.T_min_max) ... ok trigger bug in ticket #162 ... ok Test the combined graph of the graph of outer ... ok test_outer (theano.tensor.tests.test_basic.T_outer) ... ok test_0 (theano.tensor.tests.test_basic.T_reshape) ... ok test_bad_shape (theano.tensor.tests.test_basic.T_reshape) ... ok test_empty_shp (theano.tensor.tests.test_basic.T_reshape) ... ok test_m1 (theano.tensor.tests.test_basic.T_reshape) ... ok test_reshape (theano.tensor.tests.test_basic.T_reshape) ... ok test_reshape_long_in_shape (theano.tensor.tests.test_basic.T_reshape) ... ok test0 (theano.tensor.tests.test_basic.T_scalarfromtensor) ... ok test_list (theano.tensor.tests.test_basic.T_sum) ... ok Ensure that overflow errors are a little bit harder to get ... ok test_doubleswap (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_interface (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_no_dimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_not_enough_dimension (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_numpy_compare (theano.tensor.tests.test_basic.T_swapaxes) ... ok test_unidimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok test0 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok test1 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok test2 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok test_bad_build (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TanTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanTester) ... ok test_good (theano.tensor.tests.test_basic.TanTester) ... ok test_grad (theano.tensor.tests.test_basic.TanTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TanhTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TanhTester) ... ok test_good (theano.tensor.tests.test_basic.TanhTester) ... ok test_grad (theano.tensor.tests.test_basic.TanhTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TanhTester) ... ok Test behaviour of ARange Op on integer inputs ... ok Test that arange constructor uses the correct default start ... ok Test that arange constructor uses the correct default step ... ok Checks that the same Op is returned on repeated calls to arange ... ok Test arange constructor, on float32 outputs ... ok Test arange constructor, on float64 outputs ... ok test_infer_shape (theano.tensor.tests.test_basic.TestARange) ... ok Test arange constructor, on integer outputs ... ok Test that arange computes output type adequately ... ok test_alloc_constant_folding (theano.tensor.tests.test_basic.TestAlloc) ... ok test_alloc_output (theano.tensor.tests.test_basic.TestAlloc) ... ok test_ones (theano.tensor.tests.test_basic.TestAlloc) ... ok test_zeros (theano.tensor.tests.test_basic.TestAlloc) ... ok test_above_output_len (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_below_zero_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_list (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_one_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_strip_leading_broadcastable (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok test_infer_shape (theano.tensor.tests.test_basic.TestInferShape) ... /<>/theano-0.9.0+dfsg/theano/tensor/tests/test_basic.py:7911: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(advec, aivec_val)], /<>/theano-0.9.0+dfsg/theano/tensor/tests/test_basic.py:7919: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(admat, aivec_val)], /<>/theano-0.9.0+dfsg/theano/tensor/tests/test_basic.py:7927: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(adtens4, aivec_val)], ok Test the inversion of one permutation (int vector) ... ok Test the inversion of several permutations at a time ... ok test_mgrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok test_mgrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok test_ogrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok test_ogrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok Test PermuteRowElements(vector, vector) ... ok Test PermuteRowElements(vector, matrix) ... ok Test broadcasting in PermuteRowElements(matrix, vector) ... ok Test PermuteRowElements(matrix, matrix) ... ok Test permute_row_elements on a more complex broadcasting pattern: ... ok test_bad_number_of_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok test_bad_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok test_argmax (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_argmin (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_argsort (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_clip (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_conj (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_cumprod (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_cumsum (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_diagonal (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_dot (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_ravel (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_real_imag (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_repeat (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_round (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... /<>/theano-0.9.0+dfsg/theano/tensor/basic.py:2146: UserWarning: theano.tensor.round() changed its default from `half_away_from_zero` to `half_to_even` to have the same default as NumPy. Use the Theano flag `warn.round=False` to disable this warning. "theano.tensor.round() changed its default from" ok test_std (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_take (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_trace (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok test_bad_build (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_good (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_grad (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TrueDivTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_good (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_grad (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok test_bad_build (theano.tensor.tests.test_basic.TruncTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.TruncTester) ... ok test_good (theano.tensor.tests.test_basic.TruncTester) ... ok test_grad (theano.tensor.tests.test_basic.TruncTester) ... ok test_grad_none (theano.tensor.tests.test_basic.TruncTester) ... ok test_bad_build (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_bad_runtime (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_good (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_grad (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_grad_none (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok test_Op_dims (theano.tensor.tests.test_basic.t_dot) ... ok test_align_1_1 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_1_2 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_1_3 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_2_1 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_2_2 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_2_3 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_3_1 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_3_2 (theano.tensor.tests.test_basic.t_dot) ... ok test_align_3_3 (theano.tensor.tests.test_basic.t_dot) ... ok test_broadcastable_patterns (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_0d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_1d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_0_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_2d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_0d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_1d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_2d (theano.tensor.tests.test_basic.t_dot) ... ok test_dot_3d_3d (theano.tensor.tests.test_basic.t_dot) ... ok test_grad (theano.tensor.tests.test_basic.t_dot) ... ok test_arithmetic_cast (theano.tensor.tests.test_basic.test_arithmetic_cast) ... SKIP: Known issue withnumpy see #761 test_and (theano.tensor.tests.test_basic.test_bitwise) ... ok test_eye (theano.tensor.tests.test_basic.test_bitwise) ... ok test_inv (theano.tensor.tests.test_basic.test_bitwise) ... ok test_or (theano.tensor.tests.test_basic.test_bitwise) ... ok test_xor (theano.tensor.tests.test_basic.test_bitwise) ... ok test_broadcast_bigdim (theano.tensor.tests.test_basic.test_broadcast) ... ok test_infer_shape (theano.tensor.tests.test_basic.test_broadcast) ... ok test_patternbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok test that the unbroadcast fct don't insert not needed broadcast ... ok test_allclose (theano.tensor.tests.test_basic.test_comparison) ... ok test_eq (theano.tensor.tests.test_basic.test_comparison) ... ok test_ge (theano.tensor.tests.test_basic.test_comparison) ... ok test_gt (theano.tensor.tests.test_basic.test_comparison) ... ok test_isclose (theano.tensor.tests.test_basic.test_comparison) ... ok test_le (theano.tensor.tests.test_basic.test_comparison) ... ok test_lt (theano.tensor.tests.test_basic.test_comparison) ... ok test_neq (theano.tensor.tests.test_basic.test_comparison) ... ok test_fail (theano.tensor.tests.test_basic.test_complex_mod) ... ok grad: Test returning a single zero value from grad ... ok grad: Test passing a single variable param ... ok grad: Test returning some zero value from grad ... ok grad: Test passing multiple variable params ... ok grad: Test that a non-scalar cost raises a TypeError ... ok Tests that the theano grad method returns a list if it is passed a list ... ok Ensure that a zero gradient has the proper shape. ... ok Matrix reciprocal by gradient descent ... ok test_flatnonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok test_nonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok test_nonzero_values (theano.tensor.tests.test_basic.test_nonzero) ... ok Ensure dtype string comparisons are consistent. ... ok A copy or deepcopy of the ndarray type should not create a new object. ... ok test_interface (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_first_axis (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_neg_axis (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_no_axis (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix_second_axis (theano.tensor.tests.test_basic.test_ptp) ... ok Should return 0 for all scalar ... ok test_vector (theano.tensor.tests.test_basic.test_ptp) ... ok test_matrix (theano.tensor.tests.test_basic.test_size) ... ok test_scalar (theano.tensor.tests.test_basic.test_size) ... ok test_shared (theano.tensor.tests.test_basic.test_size) ... ok test_vector (theano.tensor.tests.test_basic.test_size) ... ok test0 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_broadcastable1 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_broadcastable2 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_raise_error (theano.tensor.tests.test_basic.test_tensordot) ... ok test_scalar0 (theano.tensor.tests.test_basic.test_tensordot) ... ok test_scalar_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok test_weird_valid_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok test_tri (theano.tensor.tests.test_basic.test_triangle) ... ok test_tril_triu (theano.tensor.tests.test_basic.test_triangle) ... ok theano.tensor.tests.test_basic.test_py_c_match ... ok theano.tensor.tests.test_basic.test_eye('int8', 3) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int8', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int8', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int16', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int16', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int32', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int32', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('int64', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('int64', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('float32', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float32', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('float64', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('float64', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint8', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('uint16', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex64', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 5) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 5, 3) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 3, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 5, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 3, 5, -1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 5, 3, 1) ... ok theano.tensor.tests.test_basic.test_eye('complex128', 5, 3, -1) ... ok theano.tensor.tests.test_basic.test_identity('int8',) ... ok theano.tensor.tests.test_basic.test_identity('int16',) ... ok theano.tensor.tests.test_basic.test_identity('int32',) ... ok theano.tensor.tests.test_basic.test_identity('int64',) ... ok theano.tensor.tests.test_basic.test_identity('float32',) ... ok theano.tensor.tests.test_basic.test_identity('float64',) ... ok theano.tensor.tests.test_basic.test_identity('uint8',) ... ok theano.tensor.tests.test_basic.test_identity('uint16',) ... ok theano.tensor.tests.test_basic.test_identity('complex64',) ... ok theano.tensor.tests.test_basic.test_identity('complex128',) ... ok theano.tensor.tests.test_basic.test_batched_dot ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(0,) ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(1,) ... ok theano.tensor.tests.test_basic.test_batched_tensordot ... ok theano.tensor.tests.test_basic.test_tensor_values_eq_approx ... ok theano.tensor.tests.test_basic.test_nan_inf_constant_signature ... ok theano.tensor.tests.test_basic.test_isnan ... ok theano.tensor.tests.test_basic.test_basic_allclose ... ok Test join to work inplace. ... ok Test join when only 1 input is given. ... ok theano.tensor.tests.test_basic.test_make_column_matrix_broadcastable ... ok theano.tensor.tests.test_basic.test_flatten_outdimNone ... ok theano.tensor.tests.test_basic.test_flatten_scalar ... ok theano.tensor.tests.test_basic.test_flatten_outdim1 ... ok theano.tensor.tests.test_basic.test_flatten_outdim2 ... ok theano.tensor.tests.test_basic.test_flatten_outdim2_of_3 ... ok theano.tensor.tests.test_basic.test_flatten_broadcastable ... ok theano.tensor.tests.test_basic.test_flatten_outdim_invalid ... ok tests is_flat method for constant and symbolic variables, ... ok theano.tensor.tests.test_basic.test_tile ... ok theano.tensor.tests.test_basic.test_tile_grad ... ok theano.tensor.tests.test_basic.test_smallest_stack ... ok theano.tensor.tests.test_basic.test_smallest ... ok theano.tensor.tests.test_basic.test_reshape_member_fn ... ok theano.tensor.tests.test_basic.test_var ... ok theano.tensor.tests.test_basic.test_default ... ok theano.tensor.tests.test_basic.test_default_state ... ok theano.tensor.tests.test_basic.test_autocast ... ok theano.tensor.tests.test_basic.test_len ... ok We add this test as not all language and C implementation give the same ... ok Confirm that divmod is equivalent to the python version. ... ok This test generate an Elemwise of Composite as: ... ok theano.tensor.tests.test_basic.test_unalign ... ok theano.tensor.tests.test_basic.test_dimshuffle_duplicate ... ok theano.tensor.tests.test_basic.test_transpose ... ok theano.tensor.tests.test_basic.test_stacklists ... ok theano.tensor.tests.test_basic.test_norm ... ok theano.tensor.tests.test_basic.test_allocempty ... ok theano.tensor.tests.test_basic.test_symbolic_slice ... ok test0 (theano.tensor.tests.test_blas.T_real_matrix) ... ok test_dot22 (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_dot22scalar (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_gemm (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_ger_strides (theano.tensor.tests.test_blas.TestBlasStrides) ... ok test_a_strides (theano.tensor.tests.test_blas.TestDgemv) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok test_default_beta_y (theano.tensor.tests.test_blas.TestDgemv) ... ok test_simple (theano.tensor.tests.test_blas.TestDgemv) ... ok test_simple_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestDgemv) ... ok test_x_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok test_y_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok Test matrix dot vector ... ok Test vector dot matrix ... ok Currently we generate a gemv for that case ... ok test_gemv1 (theano.tensor.tests.test_blas.TestGemv) ... ok test vector2+dot(vector1,matrix) ... ok test gemv with some broadcasted input ... ok test_gemv_dimensions (theano.tensor.tests.test_blas.TestGemv) ... ok test_A_plus_outer (theano.tensor.tests.test_blas.TestGer) ... ok test_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok test local_gemm_to_ger opt ... ok test local_gemm_to_ger opt ... ok test local_gemm_to_ger opt ... ok test local_gemm_to_ger opt ... ok test_c128_1_9 (theano.tensor.tests.test_blas.TestGer) ... ok test_c64_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_0_0 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_0_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_1_0 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_1_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_1_2 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_4_4 (theano.tensor.tests.test_blas.TestGer) ... ok test_f32_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok test_f64_4_5 (theano.tensor.tests.test_blas.TestGer) ... ok test_inplace (theano.tensor.tests.test_blas.TestGer) ... ok test_outer (theano.tensor.tests.test_blas.TestGer) ... ok test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok test_eq (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok test_hash (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok test_name (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok test_fails_for_mixed_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_for_nonmatrix_A (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_for_nonscalar_alpha (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_for_nonvector_x_or_y (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_fails_on_invalid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_works_on_all_valid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok test_a_strides (theano.tensor.tests.test_blas.TestSgemv) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok test_default_beta_y (theano.tensor.tests.test_blas.TestSgemv) ... ok test_simple (theano.tensor.tests.test_blas.TestSgemv) ... ok test_simple_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestSgemv) ... ok test_x_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok test_y_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok Test that it works on scalar constants ... ok Test that it fails on nonscalar constants ... ok Test that it works on scalar variables ... ok Test that it fails on nonscalar variables ... ok test0 (theano.tensor.tests.test_blas.t_gemm) ... ok test0a (theano.tensor.tests.test_blas.t_gemm) ... ok test10 (theano.tensor.tests.test_blas.t_gemm) ... ok test11 (theano.tensor.tests.test_blas.t_gemm) ... ok test12 (theano.tensor.tests.test_blas.t_gemm) ... ok test2 (theano.tensor.tests.test_blas.t_gemm) ... ok test4 (theano.tensor.tests.test_blas.t_gemm) ... ok test5 (theano.tensor.tests.test_blas.t_gemm) ... ok test6 (theano.tensor.tests.test_blas.t_gemm) ... ok test7 (theano.tensor.tests.test_blas.t_gemm) ... ok test8 (theano.tensor.tests.test_blas.t_gemm) ... ok test9 (theano.tensor.tests.test_blas.t_gemm) ... ok test that only first input can be overwritten ... ok test that only first input can be overwritten ... ok test that only first input can be overwritten ... ok test that only first input can be overwritten ... ok test that dot args can be aliased ... ok test_factorised_scalar (theano.tensor.tests.test_blas.t_gemm) ... ok test_non_contiguous (theano.tensor.tests.test_blas.t_gemm) ... ok test_shape_0 (theano.tensor.tests.test_blas.t_gemm) ... ok test_transposes (theano.tensor.tests.test_blas.t_gemm) ... ok test_dot22 (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_dot22scalar (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_gemm (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_gemv (theano.tensor.tests.test_blas.test_infer_shape) ... ok test_ger (theano.tensor.tests.test_blas.test_infer_shape) ... ok theano.tensor.tests.test_blas.test_dot_eq ... ok theano.tensor.tests.test_blas.test_res_is_a ... ok Many subgraphs whose dots can be eliminated ... ok This is the pattern that shows up in the autoencoder ... ok theano.tensor.tests.test_blas.test_gemm_canonicalize ... ok theano.tensor.tests.test_blas.test_gemm_factor ... ok theano.tensor.tests.test_blas.test_upcasting_scalar_nogemm ... ok theano.tensor.tests.test_blas.test_gemm_nested ... ok theano.tensor.tests.test_blas.test_gemm_opt_wishlist ... ok Many subgraphs whose dots can be eliminated. This adds a ... ok theano.tensor.tests.test_blas.test_gemm_opt_vector_stuff ... ok This test that the gemm optimizer remove the dot22 that was ... ok theano.tensor.tests.test_blas.test_inplace0 ... ok theano.tensor.tests.test_blas.test_inplace1 ... ok theano.tensor.tests.test_blas.test_dot22 ... ok theano.tensor.tests.test_blas.test_dot22scalar ... ok Test that in `dot22_to_dot22scalar` we properly cast integers to floats. ... ok This test that the bug in gh-1507 is really fixed ... ok theano.tensor.tests.test_blas.test_dot_w_self ... ok test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_gemm (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_gemm (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok test_force_gemv_init (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_gemv1 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_gemv_dimensions (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_multiple_inplace (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_nan_beta_0 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_optimizations_mv (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_optimizations_vm (theano.tensor.tests.test_blas_c.TestCGemv) ... ok test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok test_A_plus_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_A_plus_scaled_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_eq (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_hash (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_int_fails (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_optimization_pipeline (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_optimization_pipeline_float (theano.tensor.tests.test_blas_c.TestCGer) ... ok test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_gemm_non_contiguous: Test if GEMM works well with non-contiguous matrices. ... ok test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok test_A_plus_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok test_0 (theano.tensor.tests.test_casting.test_casting) ... ok test_basic (theano.tensor.tests.test_casting.test_casting) ... ok test_bug_complext_10_august_09 (theano.tensor.tests.test_casting.test_casting) ... ok test_convert_to_complex (theano.tensor.tests.test_casting.test_casting) ... ok test_illegal (theano.tensor.tests.test_casting.test_casting) ... ok test0 (theano.tensor.tests.test_complex.TestRealImag) ... ok test_abs_grad (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_abs_grad: Complex grads not enabled, see #178 test_cast (theano.tensor.tests.test_complex.TestRealImag) ... ok test_complex (theano.tensor.tests.test_complex.TestRealImag) ... ok test_complex_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_complex_grads: Complex grads not enabled, see #178 test_mul_mixed (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed: Complex grads not enabled, see #178 test_mul_mixed0 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed0: Complex grads not enabled, see #178 test_mul_mixed1 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed1: Complex grads not enabled, see #178 test_on_real_input (theano.tensor.tests.test_complex.TestRealImag) ... ok test_polar_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_polar_grads: Complex grads not enabled, see #178 test_mean_custom_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok test_mean_default_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok test_mean_precision (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok test_prod_without_zeros_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_prod_without_zeros_custom_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_prod_without_zeros_default_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_prod_without_zeros_default_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok test_reduce_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_custom_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_default_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_default_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_reduce_precision (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok test_all_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok test_any_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok test_elemwise_grad_bool (theano.tensor.tests.test_elemwise.TestElemwise) ... ok test_infer_shape (theano.tensor.tests.test_elemwise.TestElemwise) ... ok test_input_dimensions_overflow (theano.tensor.tests.test_elemwise.TestElemwise) ... ok test_c (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_c_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_fill (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_fill_grad (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_fill_var (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_perform (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_perform_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_same_inputs (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_weird_strides (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok test_c (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_c_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_infer_shape (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_perform (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_perform_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok test_c_or_py (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_infer_shape (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_perform (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_too_big_rank (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok test_isinf (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok test_isnan (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok test_mul_without_zeros_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_other_grad_tests (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_pickle_bug (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_prod_no_zeros_in_input (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_prod_without_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_prod_without_zeros_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_verify_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_verify_grad_with_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok test_argmax_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_max_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_mean_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_min_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_sum_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok test_var_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok A user test that failed. ... ok theano.tensor.tests.test_elemwise.test_clip_grad ... ok Test absence of useless sum. ... ok theano.tensor.tests.test_elemwise.test_elemwise_grad_broadcast ... ok theano.tensor.tests.test_elemwise.test_clip_grad_int ... ok Regression test for unimplemented gradient in an Elemwise Op. ... ok test_op (theano.tensor.tests.test_extra_ops.CompressTester) ... ok test_grad (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_op (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_var_interface (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok test_perform (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok test_bincountFn (theano.tensor.tests.test_extra_ops.TestBinCount) ... ok test_cum_op (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok test_diffOp (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok test_broadcastable (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_repeatOp (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok test_grad (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_infer_shape (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_float_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_int_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_no_1d_inp (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_right_side (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_on_sorted_input (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok test_searchsortedOp_wrong_side_kwd (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok Basic test for a matrix. ... ok Basic test for a vector. ... ok Testing the infer_shape with a matrix. ... ok Testing the infer_shape with a vector. ... ok theano.tensor.tests.test_extra_ops.test_cpu_contiguous ... ok theano.tensor.tests.test_extra_ops.test_to_one_hot ... ok test_1Drfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_grad_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_irfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_norm_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_params (theano.tensor.tests.test_fft.TestFFT) ... ok test_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok test_rfft_float (theano.tensor.tests.test_fft.TestFFT) ... ok test_gradient (theano.tensor.tests.test_fourier.TestFourier) ... SKIP: Skipping test: test_gradient: Complex grads not enabled, see #178 test_infer_shape (theano.tensor.tests.test_fourier.TestFourier) ... ok test_perform (theano.tensor.tests.test_fourier.TestFourier) ... ok theano.tensor.tests.test_gc.test_no_reuse ... ok theano.tensor.tests.test_gc.test_gc_never_pickles_temporaries ... ok In the original merge optimization, the following graph took ... ok test_grad_inc_set (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok Increments or sets part of a tensor by a scalar using full slice and ... ok Increments or sets part of a tensor by a scalar using full slice and ... ok test_wrong_broadcast (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok test_wrong_dims (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok test0 (theano.tensor.tests.test_io.T_load_tensor) ... ok test1 (theano.tensor.tests.test_io.T_load_tensor) ... ok test_invalid_modes (theano.tensor.tests.test_io.T_load_tensor) ... ok test_memmap (theano.tensor.tests.test_io.T_load_tensor) ... ok test_keepdims (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok test_norm (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok numpy arrays don't compare equal like other python objects ... ok theano.tensor.tests.test_misc.test_bug_2009_06_02_trac_387 ... ok Regression test for a bug where output was borrowed by mistake. ... ok theano.tensor.tests.test_misc.test_deepcopied_type_filter ... ok theano.tensor.tests.test_mpi.test_recv ... ok theano.tensor.tests.test_mpi.test_send ... ok theano.tensor.tests.test_mpi.test_can_make_function ... ok theano.tensor.tests.test_mpi.test_mpi_roundtrip ... ok theano.tensor.tests.test_mpi.test_mpi_send_wait_cmp ... ok theano.tensor.tests.test_mpi.test_mpi_tag_ordering ... ok theano.tensor.tests.test_mpi.test_mpi_schedule ... ok test_non_square_matrix (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok test_numpy_compare (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok test_non_tensorial_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_numpy_compare (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_tensor_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_wrong_type_of_ord_for_matrix (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_wrong_type_of_ord_for_vector (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok test_correct_solution (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok test_wrong_coefficient_matrix (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok test_wrong_rcond_dimension (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_Eig) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eig) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_grad (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_grad (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok test_inverse_correctness (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok test_eval (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok test_infer_shape (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok test_alloc_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_alloc_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_extract_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_extract_diag_empty (theano.tensor.tests.test_nlinalg.test_diag) ... ok test_extract_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok theano.tensor.tests.test_nlinalg.test_pseudoinverse_correctness ... ok theano.tensor.tests.test_nlinalg.test_matrix_dot ... ok theano.tensor.tests.test_nlinalg.test_qr_modes ... ok theano.tensor.tests.test_nlinalg.test_svd ... ok theano.tensor.tests.test_nlinalg.test_tensorsolve ... ok theano.tensor.tests.test_nlinalg.test_inverse_singular ... ok theano.tensor.tests.test_nlinalg.test_inverse_grad ... ok theano.tensor.tests.test_nlinalg.test_det ... ok theano.tensor.tests.test_nlinalg.test_det_grad ... ok theano.tensor.tests.test_nlinalg.test_det_shape ... ok theano.tensor.tests.test_nlinalg.test_trace ... ok test_local_useless_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok test_rebroadcast_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok test_local_useless_tile (theano.tensor.tests.test_opt.T_Tile) ... ok test (theano.tensor.tests.test_opt.T_cast_cast) ... ok test optimization for consecutive functional inverses ... ok test_local_erf_minus_one (theano.tensor.tests.test_opt.T_local_erf) ... ok test_local_one_minus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok test_local_one_plus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok test opt: (-1)+erfc(-x)=>erf(x) ... ok test_local_grad_log_erfc_neg (theano.tensor.tests.test_opt.T_local_erfc) ... ok test_local_log_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok test opt: 1-erfc(x) => erf(x) and -erfc(x)+1 => erf(x) ... ok test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok test_local_reduce_broadcast_all_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_broadcast_all_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_broadcast_some_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_broadcast_some_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_reduce_join (theano.tensor.tests.test_opt.T_local_reduce) ... ok test_local_sum_prod_all_to_none (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_sum_prod_alloc (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_sum_prod_mul_by_scalar (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_sum_prod_mul_by_scalar_stack_trace (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok Test that local_sum_sum works when specifying dtypes manually. ... ok Test that local_sum_sum works when combining two sums on an int8 array. ... ok test_local_sum_sum_prod_prod (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok test_local_prod_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok test_local_sum_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok test_local_div_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok test_local_mul_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok test_add (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_eq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_identity (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_mul (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_neq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok test_local_useless_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok test_nested_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok test_nested_gpu (theano.tensor.tests.test_opt.TestCompositeCodegen) ... SKIP: cuda not available Tests removing the extra floor_div by 1 introduced by ... ok Simple test case for removing dividing by 1 ... ok Simple test case for removing dividing by a tensor of ones ... ok test_infer_shape (theano.tensor.tests.test_opt.TestMakeVector) ... ok test_make_vector (theano.tensor.tests.test_opt.TestMakeVector) ... ok test_scalar (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector2 (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector_dim (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_vector_dim_err (theano.tensor.tests.test_opt.TestShapeFeature) ... ok test_infer_shape (theano.tensor.tests.test_opt.TestShape_i) ... ok test_perform (theano.tensor.tests.test_opt.TestShape_i) ... ok test_local_reshape (theano.tensor.tests.test_opt.Test_Reshape) ... ok test_advancedincsubtensor1_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor1_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor1_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_advancedincsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_dot_allocs_0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_incsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_incsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_incsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs1t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_setsubtensor_allocs2 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok test_matrix_col (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok test_matrix_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok test_row_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok test0 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test1 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test2 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test_useless_alloc_with_shape_one (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok test_error (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_multi_input_single_alloc (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_remove_alloc_w_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_remove_alloc_wo_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok test_1 (theano.tensor.tests.test_opt.Test_local_reshape_to_dimshuffle) ... ok test_and (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_equality_shapes (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_local_useless_elemwise_comparison (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_or (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_shape_add_inequality (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_shape_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_stacktrace (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_xor (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok test_advanced_inc_subtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok test_advanced_inc_subtensor1 (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok test_incsubtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok test_0 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok test_1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok test_2 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok test_basic (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_broadcasted (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_different_dtypes (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_fewer_dims (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_multiple_idx (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test_not_applied (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok test0 (theano.tensor.tests.test_opt.test_assert) ... ok test_infer_shape (theano.tensor.tests.test_opt.test_assert) ... ok test_local_remove_all_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok test_local_remove_useless_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok test_local_remove_useless_assert3 (theano.tensor.tests.test_opt.test_assert) ... ok test_test_local_remove_useless_assert2 (theano.tensor.tests.test_opt.test_assert) ... ok test that if we have ... ok Regression test for bug in canonicalization of NaN values. ... ok test those case take from the comment in Canonizer ... SKIP: Not implemented verify that the Canonizer merge sequential Elemwise({mul,add}) part 1 ... ok verify that the Canonizer merge sequential Elemwise({mul,add}) part 2. ... SKIP: Current implementation of Canonizer does not implement all cases. Skip the corresponding test. test_muldiv (theano.tensor.tests.test_opt.test_canonize) ... ok test those case take from the comment in Canonizer ... ok test_multiple_case_that_fail (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Current implementation of Canonizer does not implement all cases. Skip the corresponding test. test_dimshuffle_on_broadcastable (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_double_transpose (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_elim3 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_merge2 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_recursive_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_useless_dimshuffle (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok test_elemwise_fusion (theano.tensor.tests.test_opt.test_fusion) ... /<>/theano-0.9.0+dfsg/theano/tensor/basic.py:2146: UserWarning: theano.tensor.round() changed its default from `half_away_from_zero` to `half_to_even` to have the same default as NumPy. Use the Theano flag `warn.round=False` to disable this warning. "theano.tensor.round() changed its default from" ok test_elemwise_fusion_4d (theano.tensor.tests.test_opt.test_fusion) ... /<>/theano-0.9.0+dfsg/theano/tensor/basic.py:2146: UserWarning: theano.tensor.round() changed its default from `half_away_from_zero` to `half_to_even` to have the same default as NumPy. Use the Theano flag `warn.round=False` to disable this warning. "theano.tensor.round() changed its default from" ok test_fusion_35inputs (theano.tensor.tests.test_opt.test_fusion) ... ok test_fusion_inplace (theano.tensor.tests.test_opt.test_fusion) ... ok test_gpu_fusion (theano.tensor.tests.test_opt.test_fusion) ... SKIP: cuda not available test_gpu_fusion_Xd (theano.tensor.tests.test_opt.test_fusion) ... SKIP: cuda not available In the past, pickle of Composite generated in tha case ... ok test_kording_bug (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok test_main (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok test0 (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok test_assert (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok test_stack_trace (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok test_elemwise (theano.tensor.tests.test_opt.test_local_merge_switch_same_cond) ... ok test0 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test0b (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test1 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test2 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test3 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test4 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test5 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test6 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test7 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok test_AdvancedSubtensor1_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_scalar_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_slice_idx_step (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_slice_idx_stop (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_stack_trace (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok test_const (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_const_general (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_none_index (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_none_slice (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_scalar6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok test_broadcast1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_broadcast2 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_broadcast3 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_const0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_const1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_left_is_right (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test_shape_le_0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok test0 (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok test_broadcasted_dims (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok test_constant (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok This test the error in gh-1122 that is a caused by the ... ok test_local_track_shape_i (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok test_no_cycle (theano.tensor.tests.test_opt.test_shapeoptimizer) ... SKIP: cuda not available test_no_shapeopt (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok theano.tensor.tests.test_opt.test_local_useless_dimshuffle_in_reshape ... ok theano.tensor.tests.test_opt.test_add_canonizer_problem0 ... ok theano.tensor.tests.test_opt.test_local_merge_abs ... ok theano.tensor.tests.test_opt.test_merge_abs_bugfix ... ok Test that int division is preserved ... ok theano.tensor.tests.test_opt.test_const_type_in_mul_canonizer ... ok theano.tensor.tests.test_opt.test_log1p ... ok theano.tensor.tests.test_opt.test_log_add ... SKIP: log(add(exp)) is not stabilized when adding more than 2 elements, see #623 theano.tensor.tests.test_opt.test_local_useless_slice ... ok theano.tensor.tests.test_opt.test_local_useless_inc_subtensor ... ok theano.tensor.tests.test_opt.test_local_useless_subtensor ... ok theano.tensor.tests.test_opt.test_local_subtensor_remove_broadcastable_index ... ok theano.tensor.tests.test_opt.test_local_IncSubtensor_serialize ... ok theano.tensor.tests.test_opt.test_local_set_to_inc_subtensor ... ok theano.tensor.tests.test_opt.test_local_subtensor_of_dot ... ok theano.tensor.tests.test_opt.test_local_subtensor_of_alloc ... ok theano.tensor.tests.test_opt.test_local_fill_useless ... ok theano.tensor.tests.test_opt.test_local_elemwise_sub_zeros ... ok theano.tensor.tests.test_opt.test_local_mul_specialize ... ok theano.tensor.tests.test_opt.test_local_pow_specialize ... ok theano.tensor.tests.test_opt.test_local_pow_specialize_device_more_aggressive_on_cpu ... ok Test that constant folding get registered at fast_compile ... ok Currently Theano enable the constant_folding optimization before stabilization optimization. ... SKIP: Theano optimizes constant before stabilization. This breaks stabilization optimization in some cases. See #504. theano.tensor.tests.test_opt.test_local_join_1 ... ok theano.tensor.tests.test_opt.test_local_join_empty ... ok theano.tensor.tests.test_opt.test_local_join_make_vector ... ok theano.tensor.tests.test_opt.test_local_add_specialize ... ok theano.tensor.tests.test_opt.test_local_tensor_scalar_tensor ... ok theano.tensor.tests.test_opt.test_local_scalar_tensor_scalar ... ok theano.tensor.tests.test_opt.test_local_div_to_inv ... ok theano.tensor.tests.test_opt.test_local_useless_split ... ok theano.tensor.tests.test_opt.test_local_flatten_lift ... ok theano.tensor.tests.test_opt.test_local_reshape_lift ... ok theano.tensor.tests.test_opt.test_local_upcast_elemwise_constant_inputs ... ok theano.tensor.tests.test_opt.test_assert_op_gradient ... ok Tests 0/x -> 0 ... ok theano.tensor.tests.test_opt.test_local_sumsqr2dot ... ok theano.tensor.tests.test_opt.test_local_expm1 ... ok theano.tensor.tests.test_opt.test_local_merge_alloc ... ok theano.tensor.tests.test_opt.test_local_useless_alloc ... ok theano.tensor.tests.test_opt.test_local_log_sum_exp1 ... ok theano.tensor.tests.test_opt.test_local_log_sum_exp2 ... ok theano.tensor.tests.test_opt.test_local_log_sum_exp3 ... ok test_optimization (theano.tensor.tests.test_opt_uncanonicalize.T_max_and_argmax) ... ok test_optimization_max (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok test_optimization_min (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_alloc_dimshuffle ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_reshape_dimshuffle ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_alloc ... ok theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_subtensor ... ok Test that arguments to RandomFunction are honored ... ok test_basic_usage (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.binomial generates the same results ... ok test_binomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_broadcast_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.choice generates the same ... ok test_default_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_dtype (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_dtype_normal_uniform_687 (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_infer_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_inplace_norun (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that FAST_RUN includes the random_make_inplace optimization ... ok test_mixed_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_mixed_shape_bcastable (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.multinomial generates the same ... ok test_multinomial_tensor3_a (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_multinomial_tensor3_b (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_multinomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that when not running inplace, the RandomState is ... ok Test that raw_random.normal generates the same results as numpy. ... ok test_normal_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.permutation generates the same ... ok Test that raw_random.permutation_helper generates the same ... ok test_pkl (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.poisson generates the same ... ok Test that random_function helper function accepts argument ndim ... ok Test that random_function helper function accepts ndim_added as ... ok Test if random_function helper works with args but without shape ... ok Test if random_function helper works without args or shape ... ok test_random_integers (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_random_integers_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_symbolic_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok Test that raw_random.uniform generates the same results as numpy. ... ok test_uniform_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_vector_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok test_basics (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_binomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_broadcast_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.choice generates the same results as numpy ... ok test_default_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_default_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_default_updates (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_get_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_get_value_internal_type (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_getitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_mixed_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_mixed_shape_bcastable (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.multinomial generates the same results as numpy ... ok test_multinomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that when we have multiple random number generators, we do not alias ... ok Test that the behaviour of 'ndim' optional parameter ... ok Test that RandomStreams.normal generates the same results as numpy ... ok test_normal_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.permutation generates the same results as numpy ... ok Test that RandomStreams.poisson generates the same results as numpy ... ok test_random_integers (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_random_integers_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that random state can be transferred from one theano graph to another. ... ok test_seed_fn (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_set_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_setitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_shared_constructor_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.shuffle_row_elements generates the right results ... ok test_symbolic_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_tutorial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that RandomStreams.uniform generates the same results as numpy ... ok test_uniform_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok test_vector_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok Test that get_value return the same type as what was gived when creating the shared variable ... ok We test that if the SharedVariable implement it we do inplace set_value ... ok test_return_internal_type (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shape_i (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shared_do_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_shared_dont_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_specify_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_specify_shape_inplace (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok test_specify_shape_partial (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok Test the type.values_eq[_approx] function ... ok theano.tensor.tests.test_sharedvar.test_scalar_shared_options ... ok test_numpy_2d (theano.tensor.tests.test_slinalg.TestKron) ... ok test_perform (theano.tensor.tests.test_slinalg.TestKron) ... ok test_infer_shape (theano.tensor.tests.test_slinalg.test_Solve) ... ok test_solve_correctness (theano.tensor.tests.test_slinalg.test_Solve) ... ok test_solve_dtype (theano.tensor.tests.test_slinalg.test_Solve) ... ok test_solve_grad (theano.tensor.tests.test_slinalg.test_Solve) ... ok theano.tensor.tests.test_slinalg.test_cholesky(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok theano.tensor.tests.test_slinalg.test_cholesky(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok theano.tensor.tests.test_slinalg.test_cholesky(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2], dtype=int64), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3], dtype=int64), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5], dtype=int64), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_eigvalsh ... ok theano.tensor.tests.test_slinalg.test_eigvalsh_grad ... ok theano.tensor.tests.test_slinalg.test_expm ... ok theano.tensor.tests.test_slinalg.test_expm_grad_1 ... ok theano.tensor.tests.test_slinalg.test_expm_grad_2 ... ok theano.tensor.tests.test_slinalg.test_expm_grad_3 ... ok test_sort (theano.tensor.tests.test_sort.TensorInferShapeTester) ... ok test1 (theano.tensor.tests.test_sort.test_sort) ... ok test2 (theano.tensor.tests.test_sort.test_sort) ... ok test3 (theano.tensor.tests.test_sort.test_sort) ... ok test4 (theano.tensor.tests.test_sort.test_sort) ... ok test5 (theano.tensor.tests.test_sort.test_sort) ... ok test_None (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_negative_axis_2d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_negative_axis_3d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_negative_axis_4d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_none_axis (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_nonnegative_axis_2d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_nonnegative_axis_3d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_nonnegative_axis_4d (theano.tensor.tests.test_sort.test_sort) ... ok test_grad_vector (theano.tensor.tests.test_sort.test_sort) ... ok theano.tensor.tests.test_sort.test_argsort ... ok theano.tensor.tests.test_sort.test_argsort_grad ... ok test0_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_0_dims (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_err_bounds (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_err_subslice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_range_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test1_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_err_bounds0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_err_bounds1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_col (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_cols_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_row (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_rows_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test2_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test3_ok_mat (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim_1_2dval_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim_1_2dval_no_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv1_inc_sub_notlastdim_2didx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv_constant_arg (theano.tensor.tests.test_subtensor.T_subtensor) ... /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) ok test_adv_sub1_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv_sub1_idx_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok Test advanced increment and set. ... ok test_ellipsis (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_err_bound_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_err_invalid_2list_dtype (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_err_invalid_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_0d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_1d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_2d_inc_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_advanced_inc_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_grad_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok Test increment and set with broadcast ... ok test_list_slice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_long (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_long_too_big (theano.tensor.tests.test_subtensor.T_subtensor) ... ok newaxis support comes from logic in the __getitem__ of TensorType ... ok test_noncontiguous_idx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_ok_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_shape_i_const (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_shape_i_scalar (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_shape_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_2 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_3 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_4 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_5 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_canonical_form_6 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_slice_symbol (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_take (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_wrong_exception_regression (theano.tensor.tests.test_subtensor.T_subtensor) ... ok test_adv_sub_3d (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) /<>/theano-0.9.0+dfsg/theano/tensor/var.py:507: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. if(inp == [] or inp == ()) else inp for inp in args]) ok test_adv_subtensor_w_int_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_matrix_and_int (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_matrix_and_none (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_none_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_adv_subtensor_w_slice_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_advanced_indexing (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_grad (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor1_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_w_2vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_inc_adv_subtensor_with_index_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_into_mat_w_row (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_into_vec_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_index_w_int_and_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok test_1d_inc_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_1d_inc_adv_selection_w_broadcasting (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_1d_set_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_assigning_matrix_to_vector_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_inc_bcastableidx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_matrix_idx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok test_adv_sub (theano.tensor.tests.test_subtensor.TestInferShape) ... ok test_infer_shape (theano.tensor.tests.test_subtensor.TestInferShape) ... ok theano.tensor.tests.test_type_other.test_make_slice_merge ... ok Tests equals ... ok test_err (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok test_simple (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok test_subtensor (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok theano.tensor.tests.test_utils.test_hash_from_ndarray ... ok theano.tensor.tests.test_var.test_numpy_method ... ok theano.tensor.tests.test_var.test_empty_list_indexing ... ok theano.tensor.tests.test_var.test_copy ... ok theano.tensor.tests.test_var.test_None_dimShuffle_replace ... ok test0 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok test1 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok test2 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok test3 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok test_correct_answer (theano.typed_list.tests.test_basic.TestMakeList) ... ok test_wrong_shape (theano.typed_list.tests.test_basic.TestMakeList) ... ok test_inplace (theano.typed_list.tests.test_basic.test_append) ... ok test_interfaces (theano.typed_list.tests.test_basic.test_append) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_append) ... ok test_interface (theano.typed_list.tests.test_basic.test_count) ... ok test_non_tensor_type (theano.typed_list.tests.test_basic.test_count) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_count) ... ok test_sparse (theano.typed_list.tests.test_basic.test_count) ... ok test_inplace (theano.typed_list.tests.test_basic.test_extend) ... ok test_interface (theano.typed_list.tests.test_basic.test_extend) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_extend) ... ok test_constant_input (theano.typed_list.tests.test_basic.test_get_item) ... ok test_interface (theano.typed_list.tests.test_basic.test_get_item) ... ok test_sanity_check_single (theano.typed_list.tests.test_basic.test_get_item) ... ok test_sanity_check_slice (theano.typed_list.tests.test_basic.test_get_item) ... ok test_wrong_input (theano.typed_list.tests.test_basic.test_get_item) ... ok test_interface (theano.typed_list.tests.test_basic.test_index) ... ok test_non_tensor_type (theano.typed_list.tests.test_basic.test_index) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_index) ... ok test_sparse (theano.typed_list.tests.test_basic.test_index) ... ok test_inplace (theano.typed_list.tests.test_basic.test_insert) ... ok test_interface (theano.typed_list.tests.test_basic.test_insert) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_insert) ... ok test_interface (theano.typed_list.tests.test_basic.test_length) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_length) ... ok test_inplace (theano.typed_list.tests.test_basic.test_remove) ... ok test_interface (theano.typed_list.tests.test_basic.test_remove) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_remove) ... ok test_inplace (theano.typed_list.tests.test_basic.test_reverse) ... ok test_interface (theano.typed_list.tests.test_basic.test_reverse) ... ok test_sanity_check (theano.typed_list.tests.test_basic.test_reverse) ... ok test_append_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_extend_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_insert_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_remove_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok test_reverse_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok theano.typed_list.tests.test_opt.test_constant_folding ... ok Testing nested list with one level of depth ... ok Nested list with different depth aren't the same ... ok test for comparison between uneven nested list ... ok Simple test on typed list type filter ... ok test case for get_depth utilitary function ... ok Test checking if values contained are themselves ... ok test for the 'depth' optionnal argument ... ok Typed List Value should raises an error ... ok Typed list types should only be equal ... ok test_variable_is_Typed_List_variable (theano.typed_list.tests.test_type.test_typed_list_type) ... ok Typed list type should raises an ... ok Typed list type should raises an ... ok test_scipy_paper_example1 (theano.tests.diverse_tests.T_scipy) ... ok This just sees if things compile well and if they run ... ok theano.tests.test_2nd_order_grads.test001_jacobian_vector ... ok theano.tests.test_2nd_order_grads.test002_jacobian_matrix ... ok theano.tests.test_2nd_order_grads.test003_jacobian_scalar ... ok theano.tests.test_2nd_order_grads.test004_hessian ... ok Test that disconnected inputs are properly handled by jacobian. ... ok test_connection_pattern (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_fprop (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_grad (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_infer_shape (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok test_invalid_default (theano.tests.test_config.T_config) ... ok theano.tests.test_determinism.test_determinism_1 ... ok Tests that one can compose two theano functions when the outputs are ... ok Tests that debug mode works where outputs is a dictionary. ... ok Tests that debug mode works where the outputs argument is a list. ... ok Tests that named variables work when outputs is a dictionary ... ok Tests that an exception is thrown if a non-string key is used in ... ok Tests that theano.function works when outputs is a dictionary ... ok Test that theano.function works if outputs is a list. ... ok Tests that the output keys are sorted correctly. ... ok Test if flake8 is respected. ... SKIP: flake8 is not installed test_grad (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.6/unittest/case.py:605: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. testMethod() ok test_op_removed (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.6/unittest/case.py:605: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. testMethod() ok test_connection_pattern (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_disconnected_paths (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_grad (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_op_removed (theano.tests.test_gradient.TestDisconnectedGrad) ... ok test_grad (theano.tests.test_gradient.TestZeroGrad) ... ok test_op_removed (theano.tests.test_gradient.TestZeroGrad) ... ok test_disconnected_nan (theano.tests.test_gradient.test_grad) ... ok test_downcast_dtype (theano.tests.test_gradient.test_grad) ... ok test_grad_constant (theano.tests.test_gradient.test_grad) ... ok test_grad_cubic (theano.tests.test_gradient.test_grad) ... ok test_grad_disconnected (theano.tests.test_gradient.test_grad) ... ok test_grad_duplicate_input (theano.tests.test_gradient.test_grad) ... ok test_grad_grad_cubic (theano.tests.test_gradient.test_grad) ... ok test_grad_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok test_grad_int (theano.tests.test_gradient.test_grad) ... ok test_grad_name (theano.tests.test_gradient.test_grad) ... ok test_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok test_grad_quadratic_vector (theano.tests.test_gradient.test_grad) ... ok test_undefined_grad_func (theano.tests.test_gradient.test_grad) ... ok test_undefined_grad_grad (theano.tests.test_gradient.test_grad) ... ok test_unimplemented_grad_func (theano.tests.test_gradient.test_grad) ... ok test_unimplemented_grad_grad (theano.tests.test_gradient.test_grad) ... ok Test grad is called correctly for a 1-to-1 op ... ok Test grad is called correctly for a 1-to-many op ... ok Test grad is called correctly for a many-to-1 op ... ok Test grad is called correctly for a many-to-many op ... ok Test that it is not ok to return None from op.grad() ... ok Test that it is not ok to return the wrong number of gradient terms ... ok theano.tests.test_gradient.test_known_grads ... ok theano.tests.test_gradient.test_dxdx ... ok theano.tests.test_gradient.test_known_grads_integers ... ok theano.tests.test_gradient.test_undefined_cost_grad ... ok theano.tests.test_gradient.test_disconnected_cost_grad ... ok theano.tests.test_gradient.test_subgraph_grad ... ok theano.tests.test_gradient.test_grad_clip ... ok test_broadcast_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok test_dtype_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok test_grad_cast_input (theano.tests.test_ifelse.test_ifelse) ... ok test_grad_int_value (theano.tests.test_ifelse.test_ifelse) ... ok test_grad_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok Regression test for test values of `ifelse` gradient. ... ok test_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok test_lazy_if_on_generics (theano.tests.test_ifelse.test_ifelse) ... ok test_merge (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_merge_ifs_true_false (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_mixed_dtype (theano.tests.test_ifelse.test_ifelse) ... ok test_multiple_out (theano.tests.test_ifelse.test_ifelse) ... ok test_multiple_out_crash (theano.tests.test_ifelse.test_ifelse) ... ok test_multiple_out_grad (theano.tests.test_ifelse.test_ifelse) ... ok test_ndim_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok test_not_lazy_if_inplace (theano.tests.test_ifelse.test_ifelse) ... ok test_pushout1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_pushout2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_pushout3 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_remove_useless_inputs1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_remove_useless_inputs2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled test_sparse_tensor_error (theano.tests.test_ifelse.test_ifelse) ... ok theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_with_reoptimization ... ok theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_without_reoptimization ... ok This is a REALLY PARTIAL TEST. ... SKIP: pydot not available theano.tests.test_printing.test_pydotprint_return_image ... SKIP: pydot not available This is a REALLY PARTIAL TEST. ... SKIP: pydot not available Just check that pydotprint does not crash with profile. ... SKIP: pydot not available evaluates a reference output to make sure the ... ok theano.tests.test_printing.test_debugprint ... ok theano.tests.test_printing.test_scan_debugprint1 ... ok theano.tests.test_printing.test_scan_debugprint2 ... ok theano.tests.test_printing.test_scan_debugprint3 ... ok theano.tests.test_printing.test_scan_debugprint4 ... ok theano.tests.test_printing.test_scan_debugprint5 ... ok theano.tests.test_printing.test_printing_scan ... SKIP: pydot not available theano.tests.test_printing.test_subtensor ... ok Tests that when we record a sequence of events, then ... ok Tests that when we record a sequence of events, then ... ok Like test_record_good, but some events are recorded by the ... ok Like test_record_bad, but some events are recorded by the ... ok test_Rop_dot_bug_18Oct2013_Jeremiah (theano.tests.test_rop.test_RopLop) ... ok test_alloc (theano.tests.test_rop.test_RopLop) ... ok test_argmax (theano.tests.test_rop.test_RopLop) ... ok test_conv (theano.tests.test_rop.test_RopLop) ... ok test_dimshuffle (theano.tests.test_rop.test_RopLop) ... ok test_dot (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. test_downsample (theano.tests.test_rop.test_RopLop) ... ok test_elemwise0 (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. test_elemwise1 (theano.tests.test_rop.test_RopLop) ... ok test_flatten (theano.tests.test_rop.test_RopLop) ... ok test_incsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok test_incsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok test_invalid_input (theano.tests.test_rop.test_RopLop) ... ok test_join (theano.tests.test_rop.test_RopLop) ... ok test_max (theano.tests.test_rop.test_RopLop) ... ok test_multiple_outputs (theano.tests.test_rop.test_RopLop) ... ok test_print (theano.tests.test_rop.test_RopLop) ... ok test_rebroadcast (theano.tests.test_rop.test_RopLop) ... ok test_reshape (theano.tests.test_rop.test_RopLop) ... ok test_setsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok test_setsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok test_shape (theano.tests.test_rop.test_RopLop) ... ok test_softmax (theano.tests.test_rop.test_RopLop) ... ok test_specifyshape (theano.tests.test_rop.test_RopLop) ... ok test_subtensor (theano.tests.test_rop.test_RopLop) ... ok test_sum (theano.tests.test_rop.test_RopLop) ... ok test_updates_add (theano.tests.test_updates.test_ifelse) ... ok test_updates_init (theano.tests.test_updates.test_ifelse) ... ok test_updates_setitem (theano.tests.test_updates.test_ifelse) ... ok ---------------------------------------------------------------------- Ran 5485 tests in 15991.742s OK (SKIP=729) 0.058164613716645386 0.058164613716645386 0.058164613716645386 0.058164613716645386 make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' create-stamp debian/debhelper-build-stamp fakeroot debian/rules binary-arch dh binary-arch --with python2,python3,sphinxdoc --buildsystem=pybuild dh_testroot -a -O--buildsystem=pybuild dh_prep -a -O--buildsystem=pybuild debian/rules override_dh_auto_install make[1]: Entering directory '/<>/theano-0.9.0+dfsg' dh_auto_install I: pybuild base:184: /usr/bin/python setup.py install --root /<>/theano-0.9.0+dfsg/debian/python-theano --install-scripts=/usr/share/python-theano running install running build running build_py creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/generated_version.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/raise_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/version.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/ifelse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/printing.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/configparser.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/updates.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/gradient.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano copying theano/configdefaults.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin copying bin/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin copying bin/theano_cache.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin copying bin/theano_nose.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/elemwise_cgen.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/slinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/nlinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/type_other.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/inplace.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/blas_headers.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/blas_c.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/xlogx.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/blas_scipy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/sort.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/raw_random.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/io.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/fourier.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/doubleop.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/windows.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/elemwise_time_test.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/pkl_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/strutil.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/latence_gpu_transfert.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/pycuda_init.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/check_duplicate_key.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/may_share_memory.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/ordered_set.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/cudamat_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/check_multi_gpu.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/gh_api.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/cpucount.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/pycuda_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/check_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/frozendict.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/elemwise_openmp_speedup.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/safe_asarray.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/buildbot_filter.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/pycuda_example.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc copying theano/misc/gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse copying theano/sparse/sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse copying theano/sparse/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse copying theano/sparse/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse copying theano/sparse/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse copying theano/sparse/utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse copying theano/sparse/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list copying theano/typed_list/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list copying theano/typed_list/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list copying theano/typed_list/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list copying theano/typed_list/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar copying theano/scalar/sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar copying theano/scalar/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar copying theano/scalar/basic_sympy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar copying theano/scalar/basic_scipy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar copying theano/scalar/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz copying theano/d3viz/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz copying theano/d3viz/formatting.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz copying theano/d3viz/d3viz.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compat copying theano/compat/six.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compat copying theano/compat/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compat creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/record.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_rop.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_config.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/disturb_mem.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/main.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/unittest_tools.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_updates.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_record.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_determinism.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_flake8.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_printing.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/run_tests_in_batch.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_pickle_unpickle_theano_fn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_dictionary_output.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_breakpoint.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/breakpoint.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_ifelse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/test_2nd_order_grads.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests copying theano/tests/diverse_tests.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/fg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/cutils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/destroyhandler.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/cmodule.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/unify.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/compiledir.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/null_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/callcache.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/compilelock.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/optdb.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/cc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/graph.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/sched.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/link.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/toolbox.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/lazylinker_c.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/vm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/reduction.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/nerv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/linalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/fp16_help.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/opt_util.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/solve.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/softsign.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/minimal.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/rng_mrg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/fourier.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/sandbox/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/pfunc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/debugmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/builders.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/function_module.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/function.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/sharedvalue.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/mode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/monitormode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/profiling.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/io.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile copying theano/compile/nanguardmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan_views.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/scan_module/scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/ConvGrad3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/ConvTransp3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/bn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/abstract_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/Conv3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/corr.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/corr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_nlinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_slinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_io.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_type_other.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal copying theano/tensor/signal/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal copying theano/tensor/signal/pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal copying theano/tensor/signal/conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_pkl_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_pycuda_example.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_cudamat_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_pycuda_theano_simple.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_pycuda_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests copying theano/misc/tests/test_gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests copying theano/sparse/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests copying theano/sparse/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests copying theano/typed_list/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests copying theano/typed_list/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests copying theano/typed_list/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests copying theano/typed_list/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests copying theano/scalar/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests copying theano/scalar/tests/test_div_future.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests copying theano/scalar/tests/test_div_no_future.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests copying theano/d3viz/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests copying theano/d3viz/tests/test_formatting.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests copying theano/d3viz/tests/models.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests copying theano/d3viz/tests/test_d3viz.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_fg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_graph_opt_caching.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_lazy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_types.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_cc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_sched.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_optdb.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_vm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_compiledir.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_graph.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gof/tests/test_link.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/rnn_support.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/config.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nerv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pickle.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_cgpukernelbase.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_reduction.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvGrad3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvTransp3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/cula.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/fftconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/rng_curand.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/nvcc_compiler.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConv3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/opt_util.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests copying theano/sandbox/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests copying theano/sandbox/tests/test_rng_mrg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/gpuarray creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_builders.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_shared.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_mode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_function_module.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_function.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_modes.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_nanguardmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_function_name.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_profiling.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/sandbox creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_abstract_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_bn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/walltime.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_viewop.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_memory.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_cula.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_tensor_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_driver.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_fftconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_bench_loopfusion.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_mlp.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_rng_curand.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/tests copying theano/tensor/alt_gemm_common.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/tensor/alt_gemm_template.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor copying theano/misc/check_blas_many.sh -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/html copying theano/d3viz/html/template.html -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/html creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/css copying theano/d3viz/css/d3viz.css -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/css copying theano/d3viz/css/d3-context-menu.css -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/css creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js copying theano/d3viz/js/graphlib-dot.min.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js copying theano/d3viz/js/dagre-d3.min.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js copying theano/d3viz/js/d3viz.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js copying theano/d3viz/js/d3.v3.min.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js copying theano/d3viz/js/d3-context-menu.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js copying theano/gof/lazylinker_c.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gof/theano_mod_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof copying theano/gpuarray/pool_max_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_pool.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm_inf.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_pool_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/corr_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/pool_max_rop.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_desc.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_gi.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_softmax_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/conv_desc.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_paramsize.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_dropout_desc.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/blockgemv.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/pool_ave_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/gemm16.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/pool_grad_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_softmax.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_gw.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_dropout_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_gw.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_gi.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/pool.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/blockger.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/gpuarray_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/gpuarray/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox copying theano/scan_module/scan_perform.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module copying theano/tensor/nnet/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/nnet/corr_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet copying theano/tensor/tests/shape_opt_cycle.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests copying theano/gof/tests/test_fg_old_crash.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests copying theano/gpuarray/tests/tstgpueye.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/gpuarray/tests/GpuArray.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests copying theano/sandbox/cuda/conv_kernel.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/conv_full_kernel.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/corr_gemm.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/conv.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/corr3d_gemm.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/cuda_ndarray.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/cuda_ndarray.cuh -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_gw.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_gi.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/cnmem.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/cuda/cnmem.cpp -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda copying theano/sandbox/tests/multinomial_test_graph.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests copying theano/scan_module/tests/inconsistent_scan.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests copying theano/tensor/signal/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests copying theano/sandbox/cuda/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/CudaNdarray.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests running install_lib creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7 creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/generated_version.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/raise_op.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/elemwise_cgen.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/alt_gemm_common.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/slinalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nlinalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/type_other.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/inplace.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/blas_headers.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/blas_c.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/var.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/xlogx.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/blas_scipy.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/ConvGrad3D.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/ConvTransp3D.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/bn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/corr_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/abstract_conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/Conv3D.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/conv3d2d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_conv3d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_corr3d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_conv3d2d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_sigm.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_abstract_conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/speed_test_conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_corr.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/tests/test_bn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/corr.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/nnet.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/corr3d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/sigm.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/nnet/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/sort.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_nlinalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/_test_mpi_roundtrip.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_casting.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_slinalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_complex.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_blas_scipy.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_fourier.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_inc_subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_gc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/shape_opt_cycle.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_sort.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/mlp_test.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_keepdims.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_blas_c.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_mpi.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_io.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_type_other.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_merge.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_var.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_xlogx.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_raw_random.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/raw_random.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/pool.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/signal/conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/fft.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/io.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/fourier.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tensor/alt_gemm_template.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/version.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/check_blas_many.sh -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/doubleop.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/windows.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/elemwise_time_test.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/pkl_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/strutil.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/latence_gpu_transfert.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/pycuda_init.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/check_duplicate_key.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/may_share_memory.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_pkl_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_may_share_memory.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_pycuda_example.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_cudamat_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_pycuda_theano_simple.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_pycuda_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/tests/test_gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/ordered_set.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/cudamat_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/check_multi_gpu.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/gh_api.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/cpucount.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/pycuda_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/check_blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/frozendict.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/elemwise_openmp_speedup.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/safe_asarray.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/buildbot_filter.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/pycuda_example.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/misc/gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests/test_sp2.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox/sp2.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox/truedot.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox/sp.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/sandbox/test_sp.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sparse/basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/typed_list/basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/basic_sympy.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests/test_div_future.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests/test_div_no_future.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/tests/test_basic_sympy.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/basic_scipy.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scalar/basic.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/formatting.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/css copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/css/d3viz.css -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/css copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/css/d3-context-menu.css -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/css copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/d3viz.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/html copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/html/template.html -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/html creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests/test_formatting.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests/models.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/tests/test_d3viz.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js/graphlib-dot.min.js -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js/dagre-d3.min.js -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js/d3viz.js -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js/d3.v3.min.js -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/d3viz/js/d3-context-menu.js -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compat/six.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compat/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/record.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_rop.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_config.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/disturb_mem.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/main.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/unittest_tools.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_updates.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_record.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_determinism.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_flake8.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_printing.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/run_tests_in_batch.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_pickle_unpickle_theano_fn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_dictionary_output.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_breakpoint.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/breakpoint.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_ifelse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/test_2nd_order_grads.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/tests/diverse_tests.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/ifelse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/fg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/cutils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/theano_mod_helper.h -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/destroyhandler.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/cmodule.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/unify.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/op.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/compiledir.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/null_type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_fg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_destroyhandler.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_toolbox.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_graph_opt_caching.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_lazy.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_op.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_compute_test_value.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_fg_old_crash.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_cmodule.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_types.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_cc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_sched.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_optdb.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_vm.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_compiledir.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_graph.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/tests/test_link.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/lazylinker_c.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/callcache.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/compilelock.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/optdb.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/cc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/graph.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/sched.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/link.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/toolbox.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/lazylinker_c.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gof/vm.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/printing.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/pool_max_grad.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_pool.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_batchnorm_inf.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_pool_grad.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/corr_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/pool_max_rop.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/gpuarray_helper.h -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_rnn_desc.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_rnn_gi.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/reduction.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_softmax_grad.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/nerv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/conv_desc.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_rnn_paramsize.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/linalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_batchnorm_grad.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_dropout_desc.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/fp16_help.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/blockgemv.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/pool_ave_grad.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_gemmcorr.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/tstgpueye.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/rnn_support.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/config.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_nerv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_pickle.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_cgpukernelbase.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/GpuArray.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_reduction.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_base.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/gemm16.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/pool_grad_grad.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_batchnorm_base.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_softmax.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/pool.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/nnet.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_rnn_gw.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_batchnorm.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/fft.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_dropout_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_gw.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_gi.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/dnn_rnn_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/pool.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/opt_util.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gpuarray/blockger.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/configparser.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/conv_kernel.cu -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/cnmem.cpp -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/dnn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/GpuConvGrad3D.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/conv_full_kernel.cu -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/GpuConvTransp3D.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/cula.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/var.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/fftconv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/corr_gemm.cu -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/rng_curand.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/walltime.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_viewop.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_memory.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_cula.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_tensor_op.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_driver.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_fftconv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_var.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/CudaNdarray.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_bench_loopfusion.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_mlp.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_rng_curand.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/dnn_base.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/cnmem.h -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/nnet.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/conv.cu -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/nvcc_compiler.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/dnn_gw.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/cuda_ndarray.cuh -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/corr3d_gemm.cu -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/cuda_ndarray.cu -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/GpuConv3D.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/dnn_gi.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/opt_util.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/cuda/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/solve.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/softsign.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/minimal.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/linalg/ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/rng_mrg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests/test_rng_mrg.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/tests/multinomial_test_graph.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/conv.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/fourier.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/sandbox/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/updates.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/gradient.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/pfunc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/debugmode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/builders.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/function_module.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/function.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_builders.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_shared.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_mode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_function_module.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_monitormode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_function.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_modes.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_debugmode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_nanguardmode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_function_name.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_profiling.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/tests/test_pfunc.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/ops.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/sharedvalue.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/mode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/monitormode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/profiling.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/io.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/compile/nanguardmode.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_views.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_perform.c -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_perform_ext.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_op.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests/inconsistent_scan.pkl -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests/test_scan_utils.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests/test_scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/tests/test_scan_opt.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/scan_module/scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/theano/configdefaults.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin/theano_cache.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_2.7/build/bin/theano_nose.py -> /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/generated_version.py to generated_version.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/raise_op.py to raise_op.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/elemwise.py to elemwise.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/sharedvar.py to sharedvar.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/type.py to type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/slinalg.py to slinalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nlinalg.py to nlinalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/type_other.py to type_other.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/inplace.py to inplace.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas_headers.py to blas_headers.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas_c.py to blas_c.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/var.py to var.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/xlogx.py to xlogx.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas_scipy.py to blas_scipy.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas.py to blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/ConvGrad3D.py to ConvGrad3D.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/ConvTransp3D.py to ConvTransp3D.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/bn.py to bn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/abstract_conv.py to abstract_conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/Conv3D.py to Conv3D.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py to test_blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_conv3d.py to test_conv3d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_corr3d.py to test_corr3d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_abstract_conv.py to test_abstract_conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_neighbours.py to test_neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_corr.py to test_corr.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_bn.py to test_bn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/corr.py to corr.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/nnet.py to nnet.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/conv.py to conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/neighbours.py to neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/corr3d.py to corr3d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/sigm.py to sigm.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/blocksparse.py to blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/sort.py to sort.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_nlinalg.py to test_nlinalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_casting.py to test_casting.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_slinalg.py to test_slinalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_complex.py to test_complex.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_fourier.py to test_fourier.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_basic.py to test_basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_gc.py to test_gc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_sort.py to test_sort.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/mlp_test.py to mlp_test.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_blas.py to test_blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_mpi.py to test_mpi.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_io.py to test_io.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_type_other.py to test_type_other.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_merge.py to test_merge.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_var.py to test_var.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_utils.py to test_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_fft.py to test_fft.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_misc.py to test_misc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/raw_random.py to raw_random.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/subtensor.py to subtensor.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests/test_pool.py to test_pool.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests/test_conv.py to test_conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/pool.py to pool.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/conv.py to conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/extra_ops.py to extra_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/fft.py to fft.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/utils.py to utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/io.py to io.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/fourier.py to fourier.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/basic.py to basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/version.py to version.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/doubleop.py to doubleop.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/windows.py to windows.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/elemwise_time_test.py to elemwise_time_test.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/pkl_utils.py to pkl_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/strutil.py to strutil.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/pycuda_init.py to pycuda_init.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/may_share_memory.py to may_share_memory.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_pkl_utils.py to test_pkl_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_may_share_memory.py to test_may_share_memory.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_pycuda_example.py to test_pycuda_example.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_cudamat_utils.py to test_cudamat_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_pycuda_theano_simple.py to test_pycuda_theano_simple.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_pycuda_utils.py to test_pycuda_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_gnumpy_utils.py to test_gnumpy_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/ordered_set.py to ordered_set.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/cudamat_utils.py to cudamat_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_multi_gpu.py to check_multi_gpu.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/gh_api.py to gh_api.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/cpucount.py to cpucount.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/pycuda_utils.py to pycuda_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_blas.py to check_blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/frozendict.py to frozendict.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/elemwise_openmp_speedup.py to elemwise_openmp_speedup.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/safe_asarray.py to safe_asarray.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/buildbot_filter.py to buildbot_filter.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/pycuda_example.py to pycuda_example.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/gnumpy_utils.py to gnumpy_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sharedvar.py to sharedvar.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/type.py to type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_sp2.py to test_sp2.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_basic.py to test_basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_type.py to test_type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_utils.py to test_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/utils.py to utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/sp2.py to sp2.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/truedot.py to truedot.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/sp.py to sp.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/test_sp.py to test_sp.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/basic.py to basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/type.py to type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/test_basic.py to test_basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/test_type.py to test_type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/basic.py to basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/sharedvar.py to sharedvar.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/basic_sympy.py to basic_sympy.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_div_future.py to test_div_future.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_basic.py to test_basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_div_no_future.py to test_div_no_future.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/basic_scipy.py to basic_scipy.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/basic.py to basic.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/formatting.py to formatting.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/d3viz.py to d3viz.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/test_formatting.py to test_formatting.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/models.py to models.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/test_d3viz.py to test_d3viz.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat/six.py to six.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/record.py to record.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_rop.py to test_rop.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_config.py to test_config.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/disturb_mem.py to disturb_mem.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/main.py to main.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/unittest_tools.py to unittest_tools.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_updates.py to test_updates.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_record.py to test_record.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_gradient.py to test_gradient.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_determinism.py to test_determinism.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_flake8.py to test_flake8.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_printing.py to test_printing.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_pickle_unpickle_theano_fn.py to test_pickle_unpickle_theano_fn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_dictionary_output.py to test_dictionary_output.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_breakpoint.py to test_breakpoint.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/breakpoint.py to breakpoint.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_ifelse.py to test_ifelse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/diverse_tests.py to diverse_tests.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/ifelse.py to ifelse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/fg.py to fg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/cutils.py to cutils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/type.py to type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/destroyhandler.py to destroyhandler.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/cmodule.py to cmodule.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/unify.py to unify.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/op.py to op.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/compiledir.py to compiledir.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/null_type.py to null_type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_fg.py to test_fg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_toolbox.py to test_toolbox.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_graph_opt_caching.py to test_graph_opt_caching.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_lazy.py to test_lazy.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_op.py to test_op.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_cmodule.py to test_cmodule.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_types.py to test_types.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_cc.py to test_cc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_sched.py to test_sched.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_optdb.py to test_optdb.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_utils.py to test_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_vm.py to test_vm.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_compiledir.py to test_compiledir.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_graph.py to test_graph.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_link.py to test_link.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/callcache.py to callcache.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/compilelock.py to compilelock.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/optdb.py to optdb.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/cc.py to cc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/utils.py to utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/graph.py to graph.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/sched.py to sched.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/link.py to link.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/toolbox.py to toolbox.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/lazylinker_c.py to lazylinker_c.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/vm.py to vm.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/printing.py to printing.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/kernel_codegen.py to kernel_codegen.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/elemwise.py to elemwise.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/type.py to type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/dnn.py to dnn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/basic_ops.py to basic_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/multinomial.py to multinomial.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/reduction.py to reduction.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/blas.py to blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/nerv.py to nerv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/linalg.py to linalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/fp16_help.py to fp16_help.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_nnet.py to test_nnet.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_dnn.py to test_dnn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_blocksparse.py to test_blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_gemmcorr.py to test_gemmcorr.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_subtensor.py to test_subtensor.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py to test_gemmcorr3d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_scan.py to test_scan.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_multinomial.py to test_multinomial.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_pool.py to test_pool.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_blas.py to test_blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/rnn_support.py to rnn_support.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/config.py to config.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_elemwise.py to test_elemwise.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_nerv.py to test_nerv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_pickle.py to test_pickle.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_type.py to test_type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_fft.py to test_fft.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_neighbours.py to test_neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_abstractconv.py to test_abstractconv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py to test_cgpukernelbase.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_linalg.py to test_linalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_basic_ops.py to test_basic_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_reduction.py to test_reduction.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_extra_ops.py to test_extra_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/subtensor.py to subtensor.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/extra_ops.py to extra_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/pool.py to pool.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/nnet.py to nnet.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/fft.py to fft.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/neighbours.py to neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/opt_util.py to opt_util.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/blocksparse.py to blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/configparser.py to configparser.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/kernel_codegen.py to kernel_codegen.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/elemwise.py to elemwise.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py to type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/dnn.py to dnn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py to basic_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/GpuConvGrad3D.py to GpuConvGrad3D.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/GpuConvTransp3D.py to GpuConvTransp3D.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/cula.py to cula.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/var.py to var.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/blas.py to blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/fftconv.py to fftconv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/rng_curand.py to rng_curand.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_nnet.py to test_nnet.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_dnn.py to test_dnn.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_blocksparse.py to test_blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/walltime.py to walltime.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_gemmcorr3d.py to test_gemmcorr3d.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_viewop.py to test_viewop.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_memory.py to test_memory.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_cula.py to test_cula.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_tensor_op.py to test_tensor_op.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_cuda_ndarray.py to test_cuda_ndarray.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_opt.py to test_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_gradient.py to test_gradient.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_blas.py to test_blas.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_driver.py to test_driver.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_fftconv.py to test_fftconv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_var.py to test_var.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_type.py to test_type.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_neighbours.py to test_neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_abstractconv.py to test_abstractconv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py to test_bench_loopfusion.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_mlp.py to test_mlp.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_basic_ops.py to test_basic_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py to test_conv_cuda_ndarray.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_rng_curand.py to test_rng_curand.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/tests/test_extra_ops.py to test_extra_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/extra_ops.py to extra_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py to opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/nnet.py to nnet.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/nvcc_compiler.py to nvcc_compiler.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/GpuConv3D.py to GpuConv3D.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/neighbours.py to neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/opt_util.py to opt_util.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/blocksparse.py to blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/solve.py to solve.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/softsign.py to softsign.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/minimal.py to minimal.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/multinomial.py to multinomial.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/ops.py to ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/rng_mrg.py to rng_mrg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/test_multinomial.py to test_multinomial.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/test_rng_mrg.py to test_rng_mrg.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/test_multinomial_wo_replacement.py to test_multinomial_wo_replacement.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/gpuarray/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/conv.py to conv.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/neighbours.py to neighbours.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/fourier.py to fourier.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/blocksparse.py to blocksparse.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/updates.py to updates.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gradient.py to gradient.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/pfunc.py to pfunc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/debugmode.py to debugmode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/builders.py to builders.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/function_module.py to function_module.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/function.py to function.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_builders.py to test_builders.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_shared.py to test_shared.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_mode.py to test_mode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_function_module.py to test_function_module.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_ops.py to test_ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_monitormode.py to test_monitormode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_function.py to test_function.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_modes.py to test_modes.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_misc.py to test_misc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_debugmode.py to test_debugmode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_nanguardmode.py to test_nanguardmode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_function_name.py to test_function_name.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_profiling.py to test_profiling.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_pfunc.py to test_pfunc.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/ops.py to ops.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sharedvalue.py to sharedvalue.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/mode.py to mode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/monitormode.py to monitormode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sandbox/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/profiling.py to profiling.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/io.py to io.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/nanguardmode.py to nanguardmode.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_views.py to scan_views.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_utils.py to scan_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan.py to scan.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_op.py to scan_op.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_opt.py to scan_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/test_scan.py to test_scan.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/test_scan_utils.py to test_scan_utils.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/test_scan_checkpoints.py to test_scan_checkpoints.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/test_scan_opt.py to test_scan_opt.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_checkpoints.py to scan_checkpoints.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/configdefaults.py to configdefaults.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin/__init__.py to __init__.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin/theano_cache.py to theano_cache.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin/theano_nose.py to theano_nose.pyc running install_egg_info running egg_info creating Theano.egg-info writing requirements to Theano.egg-info/requires.txt writing Theano.egg-info/PKG-INFO writing top-level names to Theano.egg-info/top_level.txt writing dependency_links to Theano.egg-info/dependency_links.txt writing entry points to Theano.egg-info/entry_points.txt writing manifest file 'Theano.egg-info/SOURCES.txt' reading manifest file 'Theano.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: manifest_maker: MANIFEST.in, line 9: 'recursive-include' expects ... writing manifest file 'Theano.egg-info/SOURCES.txt' Copying Theano.egg-info to /<>/theano-0.9.0+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info Skipping SOURCES.txt running install_scripts Installing theano-cache script to /<>/theano-0.9.0+dfsg/debian/python-theano/usr/share/python-theano Installing theano-nose script to /<>/theano-0.9.0+dfsg/debian/python-theano/usr/share/python-theano I: pybuild base:184: /usr/bin/python3 setup.py install --root /<>/theano-0.9.0+dfsg/debian/python3-theano --install-scripts=/usr/share/python3-theano running install running build running build_py creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/generated_version.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/raise_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/version.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/ifelse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/printing.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/configparser.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/updates.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/gradient.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano copying theano/configdefaults.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin copying bin/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin copying bin/theano_cache.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin copying bin/theano_nose.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/elemwise_cgen.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/slinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/nlinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/type_other.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/inplace.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/blas_headers.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/blas_c.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/xlogx.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/blas_scipy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/sort.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/raw_random.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/io.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/fourier.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/doubleop.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/windows.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/elemwise_time_test.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/pkl_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/strutil.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/latence_gpu_transfert.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/pycuda_init.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/check_duplicate_key.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/may_share_memory.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/ordered_set.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/cudamat_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/check_multi_gpu.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/gh_api.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/cpucount.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/pycuda_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/check_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/frozendict.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/elemwise_openmp_speedup.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/safe_asarray.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/buildbot_filter.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/pycuda_example.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc copying theano/misc/gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse copying theano/sparse/sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse copying theano/sparse/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse copying theano/sparse/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse copying theano/sparse/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse copying theano/sparse/utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse copying theano/sparse/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list copying theano/typed_list/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list copying theano/typed_list/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list copying theano/typed_list/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list copying theano/typed_list/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar copying theano/scalar/sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar copying theano/scalar/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar copying theano/scalar/basic_sympy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar copying theano/scalar/basic_scipy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar copying theano/scalar/basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz copying theano/d3viz/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz copying theano/d3viz/formatting.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz copying theano/d3viz/d3viz.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compat copying theano/compat/six.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compat copying theano/compat/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compat creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/record.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_rop.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_config.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/disturb_mem.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/main.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/unittest_tools.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_updates.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_record.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_determinism.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_flake8.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_printing.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/run_tests_in_batch.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_pickle_unpickle_theano_fn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_dictionary_output.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_breakpoint.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/breakpoint.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_ifelse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/test_2nd_order_grads.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests copying theano/tests/diverse_tests.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/fg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/cutils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/destroyhandler.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/cmodule.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/unify.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/compiledir.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/null_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/callcache.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/compilelock.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/optdb.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/cc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/graph.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/sched.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/link.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/toolbox.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/lazylinker_c.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/vm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/reduction.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/nerv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/linalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/fp16_help.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/opt_util.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/solve.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/softsign.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/minimal.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/rng_mrg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/fourier.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/sandbox/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/pfunc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/debugmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/builders.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/function_module.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/function.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/sharedvalue.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/mode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/monitormode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/profiling.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/io.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile copying theano/compile/nanguardmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan_views.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/scan_module/scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/ConvGrad3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/ConvTransp3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/bn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/abstract_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/Conv3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/corr.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/corr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_nlinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_slinalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_io.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_type_other.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal copying theano/tensor/signal/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal copying theano/tensor/signal/pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal copying theano/tensor/signal/conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_pkl_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_pycuda_example.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_cudamat_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_pycuda_theano_simple.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_pycuda_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests copying theano/misc/tests/test_gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests copying theano/sparse/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests copying theano/sparse/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests copying theano/typed_list/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests copying theano/typed_list/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests copying theano/typed_list/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests copying theano/typed_list/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests copying theano/scalar/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests copying theano/scalar/tests/test_div_future.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests copying theano/scalar/tests/test_div_no_future.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests copying theano/d3viz/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests copying theano/d3viz/tests/test_formatting.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests copying theano/d3viz/tests/models.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests copying theano/d3viz/tests/test_d3viz.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_fg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_graph_opt_caching.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_lazy.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_types.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_cc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_sched.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_optdb.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_vm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_compiledir.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_graph.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gof/tests/test_link.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/rnn_support.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/config.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nerv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pickle.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_cgpukernelbase.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_reduction.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/elemwise.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvGrad3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConvTransp3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/cula.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/fftconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/rng_curand.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/nvcc_compiler.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/GpuConv3D.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/opt_util.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests copying theano/sandbox/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests copying theano/sandbox/tests/test_rng_mrg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/gpuarray copying theano/sandbox/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/gpuarray creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_builders.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_shared.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_mode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_function_module.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_function.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_modes.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_nanguardmode.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_function_name.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_profiling.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/sandbox creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_utils.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_abstract_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_bn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/walltime.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_viewop.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_memory.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_cula.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_tensor_op.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_driver.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_fftconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_var.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_type.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_bench_loopfusion.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_mlp.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_rng_curand.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/tests copying theano/tensor/alt_gemm_common.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/tensor/alt_gemm_template.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor copying theano/misc/check_blas_many.sh -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/html copying theano/d3viz/html/template.html -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/html creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/css copying theano/d3viz/css/d3viz.css -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/css copying theano/d3viz/css/d3-context-menu.css -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/css creating /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js copying theano/d3viz/js/graphlib-dot.min.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js copying theano/d3viz/js/dagre-d3.min.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js copying theano/d3viz/js/d3viz.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js copying theano/d3viz/js/d3.v3.min.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js copying theano/d3viz/js/d3-context-menu.js -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js copying theano/gof/lazylinker_c.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gof/theano_mod_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof copying theano/gpuarray/pool_max_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_pool.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm_inf.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_pool_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/corr_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/pool_max_rop.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_desc.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_gi.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_softmax_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/conv_desc.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_paramsize.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_dropout_desc.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/blockgemv.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/pool_ave_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/gemm16.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/pool_grad_grad.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_softmax.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_gw.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_batchnorm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_dropout_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_gw.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_gi.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/dnn_rnn_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/pool.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/blockger.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/gpuarray_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/gpuarray/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox copying theano/scan_module/scan_perform.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module copying theano/tensor/nnet/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/nnet/corr_gemm.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet copying theano/tensor/tests/shape_opt_cycle.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests copying theano/gof/tests/test_fg_old_crash.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests copying theano/gpuarray/tests/tstgpueye.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/gpuarray/tests/GpuArray.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests copying theano/sandbox/cuda/conv_kernel.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/conv_full_kernel.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/corr_gemm.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/conv.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/corr3d_gemm.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/cuda_ndarray.cu -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/cuda_ndarray.cuh -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_base.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_gw.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/dnn_gi.c -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/cnmem.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/cuda/cnmem.cpp -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda copying theano/sandbox/tests/multinomial_test_graph.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests copying theano/scan_module/tests/inconsistent_scan.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests copying theano/tensor/signal/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests copying theano/sandbox/cuda/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests copying theano/sandbox/cuda/tests/CudaNdarray.pkl -> /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests running install_lib creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6 creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/generated_version.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/raise_op.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/elemwise_cgen.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/alt_gemm_common.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/slinalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nlinalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/type_other.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/inplace.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/blas_headers.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/blas_c.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/var.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/xlogx.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/blas_scipy.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/ConvGrad3D.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/ConvTransp3D.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/bn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/corr_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/abstract_conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/Conv3D.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/conv3d2d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_conv3d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_corr3d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_conv3d2d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_sigm.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_abstract_conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/speed_test_conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_corr.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/tests/test_bn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/corr.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/nnet.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/corr3d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/sigm.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/nnet/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/sort.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_nlinalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/_test_mpi_roundtrip.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_casting.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_slinalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_complex.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_blas_scipy.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_fourier.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_inc_subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_gc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/shape_opt_cycle.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_sort.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/mlp_test.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_keepdims.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_blas_c.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_mpi.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_io.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_type_other.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_merge.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_var.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_xlogx.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_raw_random.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/raw_random.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/tests/test_conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/pool.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/signal/conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/fft.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/opt_uncanonicalize.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/io.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/fourier.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/shared_randomstreams.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tensor/alt_gemm_template.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/version.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/check_blas_many.sh -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/doubleop.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/windows.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/elemwise_time_test.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/pkl_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/strutil.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/latence_gpu_transfert.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/pycuda_init.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/check_duplicate_key.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/may_share_memory.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_pkl_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_may_share_memory.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_pycuda_example.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_cudamat_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_pycuda_theano_simple.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_pycuda_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/tests/test_gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/ordered_set.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/cudamat_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/check_multi_gpu.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/gh_api.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/cpucount.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/pycuda_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/check_blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/frozendict.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/elemwise_openmp_speedup.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/safe_asarray.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/buildbot_filter.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/pycuda_example.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/misc/gnumpy_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests/test_sp2.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox/sp2.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox/truedot.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox/sp.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/sandbox/test_sp.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sparse/basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/typed_list/basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/sharedvar.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/basic_sympy.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests/test_div_future.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests/test_basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests/test_div_no_future.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/tests/test_basic_sympy.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/basic_scipy.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scalar/basic.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/formatting.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/css copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/css/d3viz.css -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/css copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/css/d3-context-menu.css -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/css copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/d3viz.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/html copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/html/template.html -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/html creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests/test_formatting.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests/models.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/tests/test_d3viz.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js/graphlib-dot.min.js -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js/dagre-d3.min.js -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js/d3viz.js -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js/d3.v3.min.js -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/d3viz/js/d3-context-menu.js -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/js copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compat copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compat/six.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compat copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compat/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compat creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/record.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_rop.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_config.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/disturb_mem.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/main.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/unittest_tools.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_updates.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_record.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_determinism.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_flake8.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_printing.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/run_tests_in_batch.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_pickle_unpickle_theano_fn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_dictionary_output.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_breakpoint.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/breakpoint.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_ifelse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/test_2nd_order_grads.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/tests/diverse_tests.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/ifelse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/fg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/cutils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/theano_mod_helper.h -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/destroyhandler.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/cmodule.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/unify.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/op.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/compiledir.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/null_type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_fg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_destroyhandler.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_toolbox.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_graph_opt_caching.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_lazy.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_op.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_compute_test_value.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_fg_old_crash.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_cmodule.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_types.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_cc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_sched.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_optdb.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_vm.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_compiledir.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_graph.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/tests/test_link.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/lazylinker_c.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/callcache.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/compilelock.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/optdb.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/cc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/graph.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/sched.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/link.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/toolbox.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/lazylinker_c.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gof/vm.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/printing.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/pool_max_grad.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_pool.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_batchnorm_inf.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/corr3d_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_pool_grad.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/corr_gemm.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/pool_max_rop.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/gpuarray_helper.h -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_rnn_desc.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_rnn_gi.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/reduction.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_softmax_grad.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/nerv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/conv_desc.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_rnn_paramsize.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/linalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_batchnorm_grad.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_dropout_desc.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/fp16_help.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/blockgemv.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/pool_ave_grad.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_gemmcorr.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/tstgpueye.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_pool.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/rnn_support.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/config.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_nerv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_pickle.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_fft.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_cgpukernelbase.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/GpuArray.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_reduction.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_base.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/subtensor.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/gemm16.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/pool_grad_grad.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_batchnorm_base.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_softmax.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/pool.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/nnet.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_rnn_gw.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_batchnorm.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/fft.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_dropout_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_gw.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_gi.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/dnn_rnn_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/pool.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/opt_util.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gpuarray/blockger.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/configparser.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/kernel_codegen.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/conv_kernel.cu -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/elemwise.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/cnmem.cpp -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/dnn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/GpuConvGrad3D.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/conv_full_kernel.cu -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/GpuConvTransp3D.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/cula.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/var.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/fftconv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/dnn_conv_base.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/corr_gemm.cu -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/rng_curand.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_nnet.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_dnn.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/walltime.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_gemmcorr3d.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_viewop.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_memory.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_cula.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/old_pool_interface.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_tensor_op.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_gradient.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_blas.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_driver.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_fftconv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_var.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_type.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_abstractconv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/CudaNdarray.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_bench_loopfusion.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_mlp.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_basic_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_rng_curand.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/tests/test_extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/dnn_base.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/extra_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/dnn_fwd.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/cnmem.h -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/nnet.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/conv.cu -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/nvcc_compiler.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/dnn_gw.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/cuda_ndarray.cuh -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/corr3d_gemm.cu -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/cuda_ndarray.cu -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/GpuConv3D.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/dnn_gi.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/cudnn_helper.h -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/opt_util.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/cuda/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/solve.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/softsign.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/minimal.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/tests/test_linalg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/linalg/ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/rng_mrg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests/test_multinomial.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests/test_rng_mrg.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/tests/multinomial_test_graph.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/gpuarray/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/gpuarray copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/conv.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/neighbours.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/fourier.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/sandbox/blocksparse.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/updates.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/gradient.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/pfunc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/debugmode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/builders.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/function_module.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/function.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_builders.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_shared.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_mode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_function_module.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_monitormode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_function.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_modes.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_misc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_debugmode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_nanguardmode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_function_name.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_profiling.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/tests/test_pfunc.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/ops.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/sharedvalue.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/mode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/monitormode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/sandbox/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/sandbox copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/profiling.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/io.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/compile/nanguardmode.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_views.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_perform.c -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_perform_ext.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_op.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests/inconsistent_scan.pkl -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests/test_scan.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests/test_scan_utils.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests/test_scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/tests/test_scan_opt.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/scan_module/scan_checkpoints.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/theano/configdefaults.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano creating /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin/__init__.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin/theano_cache.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin copying /<>/theano-0.9.0+dfsg/.pybuild/pythonX.Y_3.6/build/bin/theano_nose.py -> /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/generated_version.py to generated_version.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/raise_op.py to raise_op.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/elemwise.py to elemwise.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/sharedvar.py to sharedvar.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/type.py to type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/slinalg.py to slinalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nlinalg.py to nlinalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/type_other.py to type_other.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/inplace.py to inplace.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/blas_headers.py to blas_headers.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/blas_c.py to blas_c.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/var.py to var.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/xlogx.py to xlogx.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/blas_scipy.py to blas_scipy.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/blas.py to blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/ConvGrad3D.py to ConvGrad3D.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/ConvTransp3D.py to ConvTransp3D.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/bn.py to bn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/abstract_conv.py to abstract_conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/Conv3D.py to Conv3D.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py to test_blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_conv3d.py to test_conv3d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_corr3d.py to test_corr3d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_abstract_conv.py to test_abstract_conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_neighbours.py to test_neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_corr.py to test_corr.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/tests/test_bn.py to test_bn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/corr.py to corr.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/nnet.py to nnet.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/conv.py to conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/neighbours.py to neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/corr3d.py to corr3d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/sigm.py to sigm.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/nnet/blocksparse.py to blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/sort.py to sort.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_nlinalg.py to test_nlinalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_casting.py to test_casting.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_slinalg.py to test_slinalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_complex.py to test_complex.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_fourier.py to test_fourier.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_gc.py to test_gc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_sort.py to test_sort.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/mlp_test.py to mlp_test.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_blas.py to test_blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_mpi.py to test_mpi.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_io.py to test_io.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_type_other.py to test_type_other.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_merge.py to test_merge.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_var.py to test_var.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_fft.py to test_fft.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_misc.py to test_misc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/raw_random.py to raw_random.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/subtensor.py to subtensor.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests/test_pool.py to test_pool.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/tests/test_conv.py to test_conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/pool.py to pool.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/signal/conv.py to conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/extra_ops.py to extra_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/fft.py to fft.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/utils.py to utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/io.py to io.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/fourier.py to fourier.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tensor/basic.py to basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/version.py to version.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/doubleop.py to doubleop.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/windows.py to windows.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/elemwise_time_test.py to elemwise_time_test.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/pkl_utils.py to pkl_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/strutil.py to strutil.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/pycuda_init.py to pycuda_init.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/may_share_memory.py to may_share_memory.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_pkl_utils.py to test_pkl_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_may_share_memory.py to test_may_share_memory.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_pycuda_example.py to test_pycuda_example.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_cudamat_utils.py to test_cudamat_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_pycuda_theano_simple.py to test_pycuda_theano_simple.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_pycuda_utils.py to test_pycuda_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/tests/test_gnumpy_utils.py to test_gnumpy_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/ordered_set.py to ordered_set.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/cudamat_utils.py to cudamat_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/check_multi_gpu.py to check_multi_gpu.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/gh_api.py to gh_api.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/cpucount.py to cpucount.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/pycuda_utils.py to pycuda_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/check_blas.py to check_blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/frozendict.py to frozendict.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/elemwise_openmp_speedup.py to elemwise_openmp_speedup.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/safe_asarray.py to safe_asarray.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/buildbot_filter.py to buildbot_filter.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/pycuda_example.py to pycuda_example.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/gnumpy_utils.py to gnumpy_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sharedvar.py to sharedvar.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/type.py to type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests/test_sp2.py to test_sp2.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests/test_type.py to test_type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/utils.py to utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox/sp2.py to sp2.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox/truedot.py to truedot.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox/sp.py to sp.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/sandbox/test_sp.py to test_sp.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sparse/basic.py to basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/type.py to type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/tests/test_type.py to test_type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/typed_list/basic.py to basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/sharedvar.py to sharedvar.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/basic_sympy.py to basic_sympy.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests/test_div_future.py to test_div_future.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests/test_basic.py to test_basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests/test_div_no_future.py to test_div_no_future.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/basic_scipy.py to basic_scipy.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scalar/basic.py to basic.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/formatting.py to formatting.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/d3viz.py to d3viz.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests/test_formatting.py to test_formatting.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests/models.py to models.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/d3viz/tests/test_d3viz.py to test_d3viz.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compat/six.py to six.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compat/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/record.py to record.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_rop.py to test_rop.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_config.py to test_config.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/disturb_mem.py to disturb_mem.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/main.py to main.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/unittest_tools.py to unittest_tools.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_updates.py to test_updates.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_record.py to test_record.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_gradient.py to test_gradient.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_determinism.py to test_determinism.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_flake8.py to test_flake8.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_printing.py to test_printing.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_pickle_unpickle_theano_fn.py to test_pickle_unpickle_theano_fn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_dictionary_output.py to test_dictionary_output.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_breakpoint.py to test_breakpoint.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/breakpoint.py to breakpoint.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_ifelse.py to test_ifelse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/tests/diverse_tests.py to diverse_tests.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/ifelse.py to ifelse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/fg.py to fg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/cutils.py to cutils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/type.py to type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/destroyhandler.py to destroyhandler.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/cmodule.py to cmodule.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/unify.py to unify.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/op.py to op.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/compiledir.py to compiledir.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/null_type.py to null_type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_fg.py to test_fg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_toolbox.py to test_toolbox.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_graph_opt_caching.py to test_graph_opt_caching.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_lazy.py to test_lazy.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_op.py to test_op.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_cmodule.py to test_cmodule.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_types.py to test_types.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_cc.py to test_cc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_sched.py to test_sched.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_optdb.py to test_optdb.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_vm.py to test_vm.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_compiledir.py to test_compiledir.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_graph.py to test_graph.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/tests/test_link.py to test_link.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/callcache.py to callcache.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/compilelock.py to compilelock.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/optdb.py to optdb.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/cc.py to cc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/utils.py to utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/graph.py to graph.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/sched.py to sched.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/link.py to link.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/toolbox.py to toolbox.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/lazylinker_c.py to lazylinker_c.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gof/vm.py to vm.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/printing.py to printing.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/kernel_codegen.py to kernel_codegen.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/elemwise.py to elemwise.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/type.py to type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/dnn.py to dnn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/basic_ops.py to basic_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/multinomial.py to multinomial.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/reduction.py to reduction.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/blas.py to blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/nerv.py to nerv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/linalg.py to linalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/fp16_help.py to fp16_help.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_nnet.py to test_nnet.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_dnn.py to test_dnn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_blocksparse.py to test_blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_gemmcorr.py to test_gemmcorr.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_subtensor.py to test_subtensor.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py to test_gemmcorr3d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_scan.py to test_scan.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_multinomial.py to test_multinomial.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_pool.py to test_pool.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_blas.py to test_blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/rnn_support.py to rnn_support.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/config.py to config.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_elemwise.py to test_elemwise.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_nerv.py to test_nerv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_pickle.py to test_pickle.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_type.py to test_type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_fft.py to test_fft.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_neighbours.py to test_neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_abstractconv.py to test_abstractconv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py to test_cgpukernelbase.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_linalg.py to test_linalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_basic_ops.py to test_basic_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_reduction.py to test_reduction.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/tests/test_extra_ops.py to test_extra_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/subtensor.py to subtensor.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/extra_ops.py to extra_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/pool.py to pool.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/nnet.py to nnet.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/fft.py to fft.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/neighbours.py to neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/opt_util.py to opt_util.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gpuarray/blocksparse.py to blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/configparser.py to configparser.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/kernel_codegen.py to kernel_codegen.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/elemwise.py to elemwise.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/type.py to type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/dnn.py to dnn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/basic_ops.py to basic_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/GpuConvGrad3D.py to GpuConvGrad3D.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/GpuConvTransp3D.py to GpuConvTransp3D.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/cula.py to cula.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/var.py to var.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/blas.py to blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/fftconv.py to fftconv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/rng_curand.py to rng_curand.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_nnet.py to test_nnet.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_dnn.py to test_dnn.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_blocksparse.py to test_blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/walltime.py to walltime.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_gemmcorr3d.py to test_gemmcorr3d.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_viewop.py to test_viewop.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_memory.py to test_memory.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_cula.py to test_cula.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_tensor_op.py to test_tensor_op.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_cuda_ndarray.py to test_cuda_ndarray.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_opt.py to test_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_gradient.py to test_gradient.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_blas.py to test_blas.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_driver.py to test_driver.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_fftconv.py to test_fftconv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_var.py to test_var.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_type.py to test_type.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_neighbours.py to test_neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_abstractconv.py to test_abstractconv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_bench_loopfusion.py to test_bench_loopfusion.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_mlp.py to test_mlp.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_basic_ops.py to test_basic_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py to test_conv_cuda_ndarray.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_rng_curand.py to test_rng_curand.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/tests/test_extra_ops.py to test_extra_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/extra_ops.py to extra_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/opt.py to opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/nnet.py to nnet.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/nvcc_compiler.py to nvcc_compiler.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/GpuConv3D.py to GpuConv3D.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/neighbours.py to neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/opt_util.py to opt_util.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/cuda/blocksparse.py to blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/solve.py to solve.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/softsign.py to softsign.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/minimal.py to minimal.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/multinomial.py to multinomial.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/linalg/ops.py to ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/rng_mrg.py to rng_mrg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests/test_multinomial.py to test_multinomial.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests/test_rng_mrg.py to test_rng_mrg.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/tests/test_multinomial_wo_replacement.py to test_multinomial_wo_replacement.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/gpuarray/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/conv.py to conv.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/neighbours.py to neighbours.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/fourier.py to fourier.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/sandbox/blocksparse.py to blocksparse.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/updates.py to updates.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/gradient.py to gradient.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/pfunc.py to pfunc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/debugmode.py to debugmode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/builders.py to builders.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/function_module.py to function_module.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/function.py to function.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_builders.py to test_builders.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_shared.py to test_shared.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_mode.py to test_mode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_function_module.py to test_function_module.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_ops.py to test_ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_monitormode.py to test_monitormode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_function.py to test_function.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_modes.py to test_modes.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_misc.py to test_misc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_debugmode.py to test_debugmode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_nanguardmode.py to test_nanguardmode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_function_name.py to test_function_name.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_profiling.py to test_profiling.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/tests/test_pfunc.py to test_pfunc.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/ops.py to ops.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/sharedvalue.py to sharedvalue.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/mode.py to mode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/monitormode.py to monitormode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/sandbox/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/profiling.py to profiling.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/io.py to io.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/compile/nanguardmode.py to nanguardmode.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan_views.py to scan_views.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan_utils.py to scan_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan.py to scan.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan_op.py to scan_op.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan_opt.py to scan_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests/test_scan.py to test_scan.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests/test_scan_utils.py to test_scan_utils.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests/test_scan_checkpoints.py to test_scan_checkpoints.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/tests/test_scan_opt.py to test_scan_opt.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/scan_module/scan_checkpoints.py to scan_checkpoints.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/theano/configdefaults.py to configdefaults.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin/theano_cache.py to theano_cache.cpython-36.pyc byte-compiling /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/bin/theano_nose.py to theano_nose.cpython-36.pyc running install_egg_info running egg_info writing Theano.egg-info/PKG-INFO writing dependency_links to Theano.egg-info/dependency_links.txt writing entry points to Theano.egg-info/entry_points.txt writing requirements to Theano.egg-info/requires.txt writing top-level names to Theano.egg-info/top_level.txt reading manifest file 'Theano.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: manifest_maker: MANIFEST.in, line 9: 'recursive-include' expects ... writing manifest file 'Theano.egg-info/SOURCES.txt' Copying Theano.egg-info to /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/lib/python3.6/dist-packages/Theano-0.9.0.egg-info Skipping SOURCES.txt running install_scripts Installing theano-cache script to /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/share/python3-theano Installing theano-nose script to /<>/theano-0.9.0+dfsg/debian/python3-theano/usr/share/python3-theano rm -fv debian/python*-theano/usr/lib/python*/dist-packages/theano/misc/check_blas_many.sh removed 'debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_blas_many.sh' removed 'debian/python3-theano/usr/lib/python3.6/dist-packages/theano/misc/check_blas_many.sh' make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' debian/rules override_dh_installdocs make[1]: Entering directory '/<>/theano-0.9.0+dfsg' dh_installdocs -A README.txt PYTHONPATH=. http_proxy='127.0.0.1:9' sphinx-build -N -bhtml doc/ debian/theano-doc/usr/share/doc/theano-doc/html/ Running Sphinx v1.6.5 making output directory... Generating grammar tables from /usr/share/sphinx/pycode/Grammar-py3.txt loading pickled environment... not yet created building [mo]: targets for 0 po files that are out of date building [html]: targets for 187 source files that are out of date updating environment: 187 added, 0 changed, 0 removed reading sources... [ 0%] LICENSE reading sources... [ 1%] NEWS reading sources... [ 1%] acknowledgement reading sources... [ 2%] cifarSC2011/advanced_theano reading sources... [ 2%] cifarSC2011/boot_camp_overview reading sources... [ 3%] cifarSC2011/gpundarray reading sources... [ 3%] cifarSC2011/index reading sources... [ 4%] cifarSC2011/introduction reading sources... [ 4%] cifarSC2011/pyCUDA reading sources... [ 5%] cifarSC2011/theano reading sources... [ 5%] citation reading sources... [ 6%] core_development_guide reading sources... [ 6%] crei2013/advanced_theano reading sources... [ 7%] crei2013/gpundarray reading sources... [ 8%] crei2013/index reading sources... 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[ 97%] tutorial/sparse reading sources... [ 98%] tutorial/symbolic_graphs reading sources... [ 98%] tutorial/using_gpu reading sources... [ 99%] tutorial/using_multi_gpu reading sources... [100%] updating /usr/lib/python3/dist-packages/sphinx/environment/__init__.py:686: RemovedInSphinx17Warning: html_use_smartypants option is deprecated. Smart quotes are on by default; if you want to disable or customize them, use the smart_quotes option in docutils.conf. RemovedInSphinx17Warning) /<>/theano-0.9.0+dfsg/theano/misc/pycuda_init.py:35: UserWarning: PyCUDA import failed in theano.misc.pycuda_init warnings.warn("PyCUDA import failed in theano.misc.pycuda_init") /<>/theano-0.9.0+dfsg/doc/tutorial/using_gpu.txt:382: WARNING: '' is not a valid option. /<>/theano-0.9.0+dfsg/doc/tutorial/using_gpu.txt:382: WARNING: missing '+' or '-' in 'ELLIPSIS' option. looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done writing output... [ 0%] LICENSE writing output... [ 1%] NEWS writing output... [ 1%] acknowledgement writing output... [ 2%] cifarSC2011/advanced_theano writing output... [ 2%] cifarSC2011/boot_camp_overview writing output... [ 3%] cifarSC2011/gpundarray writing output... [ 3%] cifarSC2011/index writing output... [ 4%] cifarSC2011/introduction writing output... [ 4%] cifarSC2011/pyCUDA writing output... [ 5%] cifarSC2011/theano writing output... 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[100%] tutorial/using_gpu_solution_1.py copying static files... done copying extra files... done dumping search index in English (code: en) ... done dumping object inventory... done build succeeded, 2 warnings. rdfind -outputname /dev/null -makesymlinks true debian/theano-doc Now scanning "debian/theano-doc", found 912 files. Now have 912 files in total. Removed 0 files due to nonunique device and inode. Now removing files with zero size from list...removed 0 files Total size is 29948815 bytes or 29 MiB Now sorting on size:removed 748 files due to unique sizes from list.164 files left. Now eliminating candidates based on first bytes:removed 104 files from list.60 files left. Now eliminating candidates based on last bytes:removed 7 files from list.53 files left. Now eliminating candidates based on md5 checksum:removed 0 files from list.53 files left. It seems like you have 53 files that are not unique Totally, 2 MiB can be reduced. Now making results file /dev/null Now making symbolic links. creating Making 30 links. symlinks -r -s -c debian/theano-doc absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_unopt.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_unopt.png -> f_unoptimized.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/pipeline1.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/pipeline.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/pipeline1.png -> pipeline.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized1.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized1.png -> f_unoptimized.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft1.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft1.png -> plot_fft.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction1.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction1.png -> logreg_pydotprint_prediction.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c9a4d8deaddd3c616581eb68c4871ec23f47592d.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/208c8430488b9e2bfc3ba787f901f8642f639e37.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c9a4d8deaddd3c616581eb68c4871ec23f47592d.png -> 208c8430488b9e2bfc3ba787f901f8642f639e37.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/efc011e66a5c75b8d160a5ce5ba2276e7ae97cb9.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/15b93cf179e7ccd3bfeca963b146c5d18da052dc.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/efc011e66a5c75b8d160a5ce5ba2276e7ae97cb9.png -> 15b93cf179e7ccd3bfeca963b146c5d18da052dc.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/691e1cd21981c615095aa5dd73a2c2cbf5986a27.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/30a869f1d7e13dffb15d0f5911d615d296afd13c.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/691e1cd21981c615095aa5dd73a2c2cbf5986a27.png -> 30a869f1d7e13dffb15d0f5911d615d296afd13c.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/652904ef6e5a039f75c8c667f4b212e63c47c22f.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/15b93cf179e7ccd3bfeca963b146c5d18da052dc.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/652904ef6e5a039f75c8c667f4b212e63c47c22f.png -> 15b93cf179e7ccd3bfeca963b146c5d18da052dc.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/a58f2891dcb93426a790e8f19f074a84b5720420.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/5d66fe092b64fafa2696d5ac0966258d6bdf945a.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/a58f2891dcb93426a790e8f19f074a84b5720420.png -> 5d66fe092b64fafa2696d5ac0966258d6bdf945a.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ac55bb979bf0ee032d0a79622e6eaa608d69065f.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/94a91ddb4ee3a6cc66626e96c597d0464a2194b2.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ac55bb979bf0ee032d0a79622e6eaa608d69065f.png -> 94a91ddb4ee3a6cc66626e96c597d0464a2194b2.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ca3f22cba9aa1e06f3a9d00bc2fa775ef89c7f6e.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/417b7d31bc1bd178d17e4b60cec85ff642a9a772.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ca3f22cba9aa1e06f3a9d00bc2fa775ef89c7f6e.png -> 417b7d31bc1bd178d17e4b60cec85ff642a9a772.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c6a96822285e9e6c7965f11c1daf0cec60b8241a.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/847ecf3d6cb1b04fc5a53f1379b5f021856e68a2.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c6a96822285e9e6c7965f11c1daf0cec60b8241a.png -> 847ecf3d6cb1b04fc5a53f1379b5f021856e68a2.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/14e414a0fdf730fd9b230af02e97fad04ef17b2a.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/0ab09f28d35db8a011a80d1141b42b501735b914.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/14e414a0fdf730fd9b230af02e97fad04ef17b2a.png -> 0ab09f28d35db8a011a80d1141b42b501735b914.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/e1bd69b5b1ff71f384c7b9ad4e0eb52dbe5ac3e4.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/beaf200e33db0cf7705ffde8d77b45b26dfaf77d.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/e1bd69b5b1ff71f384c7b9ad4e0eb52dbe5ac3e4.png -> beaf200e33db0cf7705ffde8d77b45b26dfaf77d.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/12a27228ae57474e1dd68ebc61bf503e1dd76b4a.png -> 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changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict2.png -> logreg_pydotprint_predict.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction2.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction2.png -> logreg_pydotprint_prediction.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train2.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train2.png -> logreg_pydotprint_train.png absolute: 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/<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/blocksparse.png -> ../_images/blocksparse.png absolute: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.png -> /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/mlp2.png changed: /<>/theano-0.9.0+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.png -> ../_downloads/mlp2.png make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' debian/rules override_dh_sphinxdoc make[1]: Entering directory '/<>/theano-0.9.0+dfsg' dh_sphinxdoc dh_sphinxdoc: Sphinx documentation not found rm -fv debian/theano-doc/usr/share/doc/theano-doc/html/_sources/LICENSE.txt # extra-license-file removed 'debian/theano-doc/usr/share/doc/theano-doc/html/_sources/LICENSE.txt' make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' dh_installchangelogs -a -O--buildsystem=pybuild dh_python2 -a -O--buildsystem=pybuild dh_python3 -a -O--buildsystem=pybuild dh_perl -a -O--buildsystem=pybuild dh_link -a -O--buildsystem=pybuild dh_strip_nondeterminism -a -O--buildsystem=pybuild debian/rules override_dh_compress make[1]: Entering directory '/<>/theano-0.9.0+dfsg' dh_compress -X.py -X.ipynb -X.pdf # save theano-doc/html/_downloads make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' dh_fixperms -a -O--buildsystem=pybuild dh_missing -a -O--buildsystem=pybuild dh_strip -a -O--buildsystem=pybuild dh_makeshlibs -a -O--buildsystem=pybuild dh_shlibdeps -a -O--buildsystem=pybuild dh_installdeb -a -O--buildsystem=pybuild debian/rules override_dh_gencontrol make[1]: Entering directory '/<>/theano-0.9.0+dfsg' dh_gencontrol -- -VjavascriptBU="node-lodash-compat (= 3.10.2-1), d3 (= 3.5.17-2), " dpkg-gencontrol: warning: package python-theano: unused substitution variable ${python:Provides} dpkg-gencontrol: warning: package python-theano: unused substitution variable ${python:Versions} make[1]: Leaving directory '/<>/theano-0.9.0+dfsg' dh_md5sums -a -O--buildsystem=pybuild dh_builddeb -a -O--buildsystem=pybuild INFO: pkgstriptranslations version 131 INFO: pkgstriptranslations version 131 pkgstriptranslations: processing python3-theano (in debian/python3-theano); do_strip: , oemstrip: pkgstriptranslations: processing python-theano (in debian/python-theano); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python3-theano/DEBIAN/control, package python3-theano, directory debian/python3-theano INFO: pkgstripfiles: waiting for lock (python3-theano) ... INFO: pkgstripfiles: waiting for lock (python3-theano) ... INFO: pkgstripfiles: waiting for lock (python3-theano) ... INFO: pkgstripfiles: waiting for lock (python3-theano) ... INFO: pkgstripfiles: waiting for lock (python3-theano) ... pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python-theano/DEBIAN/control, package python-theano, directory debian/python-theano pkgstripfiles: Truncating usr/share/doc/python-theano/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python-theano ... pkgstripfiles: Truncating usr/share/doc/python3-theano/changelog.Debian.gz to topmost ten records pkgstripfiles: No PNG files. dpkg-deb: building package 'python-theano' in '../python-theano_0.9.0+dfsg-1_i386.deb'. pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-theano ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python3-theano' in '../python3-theano_0.9.0+dfsg-1_i386.deb'. dpkg-genbuildinfo --build=any dpkg-genchanges --build=any -mLaunchpad Build Daemon >../theano_0.9.0+dfsg-1_i386.changes dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included) dpkg-source --after-build theano-0.9.0+dfsg dpkg-source: info: using options from theano-0.9.0+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/ dpkg-buildpackage: info: binary-only upload (no source included) -------------------------------------------------------------------------------- Build finished at 20171104-2059 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ theano_0.9.0+dfsg-1_i386.changes: --------------------------------- Format: 1.8 Date: Sat, 30 Sep 2017 13:50:38 +0100 Source: theano Binary: python-theano python3-theano theano-doc Architecture: i386 Version: 0.9.0+dfsg-1 Distribution: bionic-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Rebecca N. Palmer Description: python-theano - CPU/GPU math expression compiler for Python python3-theano - CPU/GPU math expression compiler for Python 3 theano-doc - CPU/GPU math expression compiler for Python (docs) Closes: 852138 867370 Changes: theano (0.9.0+dfsg-1) unstable; urgency=medium . * New upstream release. * Drop patches applied upstream, refresh others. * Only remove the privacy-violating part of doc/index.txt, not all of News and Download. * Change Uploaders. (Closes: #852138) * Update and sort d/copyright. * Disable another wall-clock speed test (similar to #835531). * Bump Standards-Version to 4.1.1 (no changes needed). * Bump compat to 10. * Recommend python(3)-pygpu and g++. * Use the Python 3 versions of sphinx and pygments. * Build-depend on python3-sphinx-rtd-theme. * Use the version in doc->source links, not a (usually non-existent) git commit number. * Make tests work with older nose-parameterized. * Use python(3)-dev not -all-dev. (Closes: #867370) * Remove pre-minified Javascript, and instead minify at build time. * Use libjs-d3 instead of the embedded copy, but re-minify to work around #745688. * Clean up properly after build. * Use Suggests, not Recommends, between package and documentation. Checksums-Sha1: 02b488f01f4e2b4132bc3be641aeb1988cde517a 2115672 python-theano_0.9.0+dfsg-1_i386.deb 8989698b11ff55ce657be82c19744cca106a1ce2 2115860 python3-theano_0.9.0+dfsg-1_i386.deb 69f2012a2826355959cf56e572c870917e3c7ba5 12374 theano_0.9.0+dfsg-1_i386.buildinfo Checksums-Sha256: 7c7d77ff1564b845972be5c2a4a76062b717528a1d926ff077d2e720cc9f5e30 2115672 python-theano_0.9.0+dfsg-1_i386.deb fb5839e56c34569edd014df1923392a90aa435276f9b198f935707ee3b625d41 2115860 python3-theano_0.9.0+dfsg-1_i386.deb 4b507f9ba286e36a43bc925e5874e7148d2c4fe7dbfc432e5a034f1e1e44f2fe 12374 theano_0.9.0+dfsg-1_i386.buildinfo Files: 75ebee3c0d72fdea8ec799e0012f1ec7 2115672 python optional python-theano_0.9.0+dfsg-1_i386.deb eb754affcd8e7970148746634cbb0b25 2115860 python optional python3-theano_0.9.0+dfsg-1_i386.deb 76d96984bf097d5b40b51b4e08ccd960 12374 science optional theano_0.9.0+dfsg-1_i386.buildinfo +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ python-theano_0.9.0+dfsg-1_i386.deb ----------------------------------- new debian package, version 2.0. size 2115672 bytes: control archive=12756 bytes. 1264 bytes, 23 lines control 47244 bytes, 483 lines md5sums 163 bytes, 9 lines * postinst #!/bin/sh 263 bytes, 14 lines * prerm #!/bin/sh Package: python-theano Source: theano Version: 0.9.0+dfsg-1 Architecture: i386 Maintainer: Ubuntu Developers Original-Maintainer: Debian Science Maintainers Installed-Size: 13097 Depends: python-numpy, python-scipy, python-six (>= 1.9.0), python:any (<< 2.8), python:any (>= 2.7.5-5~), python-dev, libblas-dev | libblas.so Recommends: g++, python-pydot, python-nose, python-nose-parameterized, python-pygpu Suggests: nvidia-cuda-toolkit, python-pycuda, theano-doc Built-Using: d3 (= 3.5.17-2), node-lodash-compat (= 3.10.2-1) Section: python Priority: optional Homepage: http://www.deeplearning.net/software/theano/ Description: CPU/GPU math expression compiler for Python Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. . This package contains Theano for Python 2. drwxr-xr-x root/root 0 2017-09-30 12:50 ./ drwxr-xr-x root/root 0 2017-09-30 12:50 ./usr/ drwxr-xr-x root/root 0 2017-09-30 12:50 ./usr/lib/ drwxr-xr-x root/root 0 2017-09-30 12:50 ./usr/lib/python2.7/ drwxr-xr-x root/root 0 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/ drwxr-xr-x root/root 0 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info/ -rw-r--r-- root/root 12193 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info/PKG-INFO -rw-r--r-- root/root 1 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info/dependency_links.txt -rw-r--r-- root/root 91 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info/entry_points.txt -rw-r--r-- root/root 85 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info/requires.txt -rw-r--r-- root/root 11 2017-09-30 12:50 ./usr/lib/python2.7/dist-packages/Theano-0.9.0.egg-info/top_level.txt drwxr-xr-x root/root 0 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root/root 388 2017-09-30 12:50 ./usr/share/python-theano/theano-cache -rwxr-xr-x root/root 386 2017-09-30 12:50 ./usr/share/python-theano/theano-nose python3-theano_0.9.0+dfsg-1_i386.deb ------------------------------------ new debian package, version 2.0. size 2115860 bytes: control archive=12824 bytes. 1256 bytes, 23 lines control 46293 bytes, 483 lines md5sums 173 bytes, 9 lines * postinst #!/bin/sh 403 bytes, 12 lines * prerm #!/bin/sh Package: python3-theano Source: theano Version: 0.9.0+dfsg-1 Architecture: i386 Maintainer: Ubuntu Developers Original-Maintainer: Debian Science Maintainers Installed-Size: 13097 Depends: python3-numpy, python3-scipy, python3-six (>= 1.9.0), python3:any (>= 3.3.2-2~), python3-dev, libblas-dev | libblas.so Recommends: g++, python3-pydot, python3-nose, python3-nose-parameterized, python3-pygpu Suggests: nvidia-cuda-toolkit, python3-pycuda, theano-doc Built-Using: d3 (= 3.5.17-2), node-lodash-compat (= 3.10.2-1) Section: python Priority: optional Homepage: http://www.deeplearning.net/software/theano/ Description: CPU/GPU math expression compiler for Python 3 Theano is a Python library that allows one to define and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It provides a high-level Numpy like expression language for functional description of calculation, rearranges expressions for speed and stability, and generates native machine instructions for fast calculation. Optionally, highly accelerated computations could be carried out on graphics cards processors. . 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-rwxr-xr-x root/root 387 2017-09-30 12:50 ./usr/share/python3-theano/theano-nose +------------------------------------------------------------------------------+ | Post Build | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Purging /<> Not removing build depends: as requested +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: i386 Build-Space: 2520412 Build-Time: 31073 Distribution: bionic-proposed Host Architecture: i386 Install-Time: 81 Job: theano_0.9.0+dfsg-1.dsc Machine Architecture: amd64 Package: theano Package-Time: 31156 Source-Version: 0.9.0+dfsg-1 Space: 2520412 Status: successful Version: 0.9.0+dfsg-1 -------------------------------------------------------------------------------- Finished at 20171104-2059 Build needed 08:39:16, 2520412k disc space RUN: /usr/share/launchpad-buildd/slavebin/in-target scan-for-processes --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 Scanning for processes to kill in build PACKAGEBUILD-13663725 RUN: /usr/share/launchpad-buildd/slavebin/in-target umount-chroot --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 Stopping target for build PACKAGEBUILD-13663725 RUN: /usr/share/launchpad-buildd/slavebin/in-target remove-build --backend=chroot --series=bionic --arch=i386 PACKAGEBUILD-13663725 Removing build PACKAGEBUILD-13663725