I: pbuilder: network access will be disabled during build I: Current time: Thu Sep 16 08:13:28 +14 2021 I: pbuilder-time-stamp: 1631729608 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/buster-reproducible-base.tgz] I: copying local configuration I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [theano_1.0.3+dfsg-1.dsc] I: copying [./theano_1.0.3+dfsg.orig.tar.gz] I: copying [./theano_1.0.3+dfsg-1.debian.tar.xz] I: Extracting source gpgv: unknown type of key resource 'trustedkeys.kbx' gpgv: keyblock resource '/var/lib/jenkins/.gnupg/trustedkeys.kbx': General error gpgv: Signature made Fri Jan 11 10:14:51 2019 +14 gpgv: using RSA key 67CB311005C4EDBE32175308DEE50D0D567EA266 gpgv: issuer "rebecca_palmer@zoho.com" gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./theano_1.0.3+dfsg-1.dsc dpkg-source: info: extracting theano in theano-1.0.3+dfsg dpkg-source: info: unpacking theano_1.0.3+dfsg.orig.tar.gz dpkg-source: info: unpacking theano_1.0.3+dfsg-1.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series 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 docgen-homedir.patch dpkg-source: info: applying doc-use-local-links.patch dpkg-source: info: applying improve-cache-permission-errors.patch dpkg-source: info: applying show-test-output.patch dpkg-source: info: applying numpy116.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/27501/tmp/hooks/D01_modify_environment starting debug: Running on codethink-sled9-arm64. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash Removing 'diversion of /bin/sh to /bin/sh.distrib by dash' Adding 'diversion of /bin/sh to /bin/sh.distrib by bash' Removing 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by dash' Adding 'diversion of /usr/share/man/man1/sh.1.gz to /usr/share/man/man1/sh.distrib.1.gz by bash' I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/27501/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/27501/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:hostcomplete:interactive_comments:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="0" [2]="3" [3]="1" [4]="release" [5]="aarch64-unknown-linux-gnu") BASH_VERSION='5.0.3(1)-release' BUILDDIR=/build BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=arm64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=8' DIRSTACK=() DISTRIBUTION= EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/var/lib/jenkins HOSTNAME=i-capture-the-hostname HOSTTYPE=aarch64 HOST_ARCH=arm64 IFS=' ' LANG=C LANGUAGE=nl_BE:nl LC_ALL=C MACHTYPE=aarch64-unknown-linux-gnu MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnu PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=27501 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/tmp.UngPJKonbN/pbuilderrc_BM6U --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/buster-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/tmp.UngPJKonbN/b2 --logfile b2/build.log theano_1.0.3+dfsg-1.dsc' SUDO_GID=117 SUDO_UID=110 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root USERNAME=root _='I: set' http_proxy=http://192.168.101.16:3128 I: uname -a Linux i-capture-the-hostname 4.4.0-186-generic #216-Ubuntu SMP Wed Jul 1 05:35:21 UTC 2020 aarch64 GNU/Linux I: ls -l /bin total 4928 -rwxr-xr-x 1 root root 1216928 Apr 18 2019 bash -rwxr-xr-x 3 root root 34808 Jul 11 2019 bunzip2 -rwxr-xr-x 3 root root 34808 Jul 11 2019 bzcat lrwxrwxrwx 1 root root 6 Jul 11 2019 bzcmp -> bzdiff -rwxr-xr-x 1 root root 2227 Jul 11 2019 bzdiff lrwxrwxrwx 1 root root 6 Jul 11 2019 bzegrep -> bzgrep -rwxr-xr-x 1 root root 4877 Jun 25 2019 bzexe lrwxrwxrwx 1 root root 6 Jul 11 2019 bzfgrep -> bzgrep -rwxr-xr-x 1 root root 3641 Jul 11 2019 bzgrep -rwxr-xr-x 3 root root 34808 Jul 11 2019 bzip2 -rwxr-xr-x 1 root root 14264 Jul 11 2019 bzip2recover lrwxrwxrwx 1 root root 6 Jul 11 2019 bzless -> bzmore -rwxr-xr-x 1 root root 1297 Jul 11 2019 bzmore -rwxr-xr-x 1 root root 35576 Mar 1 2019 cat -rwxr-xr-x 1 root root 60256 Mar 1 2019 chgrp -rwxr-xr-x 1 root root 56096 Mar 1 2019 chmod -rwxr-xr-x 1 root root 64368 Mar 1 2019 chown -rwxr-xr-x 1 root root 134632 Mar 1 2019 cp -rwxr-xr-x 1 root root 129536 Jan 18 2019 dash -rwxr-xr-x 1 root root 97136 Mar 1 2019 date -rwxr-xr-x 1 root root 76736 Mar 1 2019 dd -rwxr-xr-x 1 root root 93752 Mar 1 2019 df -rwxr-xr-x 1 root root 138848 Mar 1 2019 dir -rwxr-xr-x 1 root root 75984 Jan 10 2019 dmesg lrwxrwxrwx 1 root root 8 Sep 27 2018 dnsdomainname -> hostname lrwxrwxrwx 1 root root 8 Sep 27 2018 domainname -> hostname -rwxr-xr-x 1 root root 31368 Mar 1 2019 echo -rwxr-xr-x 1 root root 28 Jan 8 2019 egrep -rwxr-xr-x 1 root root 27256 Mar 1 2019 false -rwxr-xr-x 1 root root 28 Jan 8 2019 fgrep -rwxr-xr-x 1 root root 68792 Jan 10 2019 findmnt -rwsr-xr-x 1 root root 34824 Apr 23 2020 fusermount -rwxr-xr-x 1 root root 174304 Jan 8 2019 grep -rwxr-xr-x 2 root root 2345 Jan 6 2019 gunzip -rwxr-xr-x 1 root root 6375 Jan 6 2019 gzexe -rwxr-xr-x 1 root root 89656 Jan 6 2019 gzip -rwxr-xr-x 1 root root 18440 Sep 27 2018 hostname -rwxr-xr-x 1 root root 64472 Mar 1 2019 ln -rwxr-xr-x 1 root root 52544 Jul 27 2018 login -rwxr-xr-x 1 root root 138848 Mar 1 2019 ls -rwxr-xr-x 1 root root 108552 Jan 10 2019 lsblk -rwxr-xr-x 1 root root 76840 Mar 1 2019 mkdir -rwxr-xr-x 1 root root 64480 Mar 1 2019 mknod -rwxr-xr-x 1 root root 39736 Mar 1 2019 mktemp -rwxr-xr-x 1 root root 38840 Jan 10 2019 more -rwsr-xr-x 1 root root 47112 Jan 10 2019 mount -rwxr-xr-x 1 root root 14344 Jan 10 2019 mountpoint -rwxr-xr-x 1 root root 138736 Mar 1 2019 mv lrwxrwxrwx 1 root root 8 Sep 27 2018 nisdomainname -> hostname lrwxrwxrwx 1 root root 14 Feb 15 2019 pidof -> /sbin/killall5 -rwxr-xr-x 1 root root 35560 Mar 1 2019 pwd lrwxrwxrwx 1 root root 4 Apr 18 2019 rbash -> bash -rwxr-xr-x 1 root root 43712 Mar 1 2019 readlink -rwxr-xr-x 1 root root 68440 Mar 1 2019 rm -rwxr-xr-x 1 root root 39624 Mar 1 2019 rmdir -rwxr-xr-x 1 root root 19144 Jan 22 2019 run-parts -rwxr-xr-x 1 root root 114016 Dec 23 2018 sed lrwxrwxrwx 1 root root 4 Sep 16 08:13 sh -> bash lrwxrwxrwx 1 root root 4 Sep 16 04:49 sh.distrib -> dash -rwxr-xr-x 1 root root 31384 Mar 1 2019 sleep -rwxr-xr-x 1 root root 72480 Mar 1 2019 stty -rwsr-xr-x 1 root root 59424 Jan 10 2019 su -rwxr-xr-x 1 root root 31416 Mar 1 2019 sync -rwxr-xr-x 1 root root 449416 Apr 24 2019 tar -rwxr-xr-x 1 root root 10560 Jan 22 2019 tempfile -rwxr-xr-x 1 root root 88968 Mar 1 2019 touch -rwxr-xr-x 1 root root 27256 Mar 1 2019 true -rwxr-xr-x 1 root root 14264 Apr 23 2020 ulockmgr_server -rwsr-xr-x 1 root root 30728 Jan 10 2019 umount -rwxr-xr-x 1 root root 31384 Mar 1 2019 uname -rwxr-xr-x 2 root root 2345 Jan 6 2019 uncompress -rwxr-xr-x 1 root root 138848 Mar 1 2019 vdir -rwxr-xr-x 1 root root 34824 Jan 10 2019 wdctl -rwxr-xr-x 1 root root 946 Jan 22 2019 which lrwxrwxrwx 1 root root 8 Sep 27 2018 ypdomainname -> hostname -rwxr-xr-x 1 root root 1983 Jan 6 2019 zcat -rwxr-xr-x 1 root root 1677 Jan 6 2019 zcmp -rwxr-xr-x 1 root root 5879 Jan 6 2019 zdiff -rwxr-xr-x 1 root root 29 Jan 6 2019 zegrep -rwxr-xr-x 1 root root 29 Jan 6 2019 zfgrep -rwxr-xr-x 1 root root 2080 Jan 6 2019 zforce -rwxr-xr-x 1 root root 7584 Jan 6 2019 zgrep -rwxr-xr-x 1 root root 2205 Jan 6 2019 zless -rwxr-xr-x 1 root root 1841 Jan 6 2019 zmore -rwxr-xr-x 1 root root 4552 Jan 6 2019 znew I: user script /srv/workspace/pbuilder/27501/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: arm64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper (>= 11), dh-python, cython, cython3, 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-parameterized, python3-parameterized, python-pydot-ng | python-pydot, python3-pydot, graphviz, python3-docutils, python3-sphinx, python3-sphinx-rtd-theme, python3-pygments, dvipng, texlive-latex-extra, texlive-fonts-recommended, latexmk, rdfind, symlinks, jupyter-nbconvert, python3-ipykernel, node-browserify-lite, node-uglify, node-pegjs, node-lodash-compat, libjs-d3 dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19168 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on debhelper (>= 11); however: Package debhelper is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on cython; however: Package cython is not installed. pbuilder-satisfydepends-dummy depends on cython3; however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on python-dev; however: Package python-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-dev; however: Package python3-dev is not installed. pbuilder-satisfydepends-dummy depends on python-setuptools; however: Package python-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools; however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python-six; however: Package python-six is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on libblas-dev; however: Package libblas-dev is not installed. pbuilder-satisfydepends-dummy depends on python-numpy; however: Package python-numpy is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on python-scipy; however: Package python-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python-nose; however: Package python-nose is not installed. pbuilder-satisfydepends-dummy depends on python3-nose; however: Package python3-nose is not installed. pbuilder-satisfydepends-dummy depends on python-parameterized; however: Package python-parameterized is not installed. pbuilder-satisfydepends-dummy depends on python3-parameterized; however: Package python3-parameterized is not installed. pbuilder-satisfydepends-dummy depends on python-pydot-ng | python-pydot; however: Package python-pydot-ng is not installed. Package python-pydot is not installed. pbuilder-satisfydepends-dummy depends on python3-pydot; however: Package python3-pydot is not installed. pbuilder-satisfydepends-dummy depends on graphviz; however: Package graphviz is not installed. pbuilder-satisfydepends-dummy depends on python3-docutils; however: Package python3-docutils is not installed. pbuilder-satisfydepends-dummy depends on python3-sphinx; however: Package python3-sphinx is not installed. pbuilder-satisfydepends-dummy depends on python3-sphinx-rtd-theme; however: Package python3-sphinx-rtd-theme is not installed. pbuilder-satisfydepends-dummy depends on python3-pygments; however: Package python3-pygments is not installed. pbuilder-satisfydepends-dummy depends on dvipng; however: Package dvipng is not installed. pbuilder-satisfydepends-dummy depends on texlive-latex-extra; however: Package texlive-latex-extra is not installed. pbuilder-satisfydepends-dummy depends on texlive-fonts-recommended; however: Package texlive-fonts-recommended is not installed. pbuilder-satisfydepends-dummy depends on latexmk; however: Package latexmk is not installed. pbuilder-satisfydepends-dummy depends on rdfind; however: Package rdfind is not installed. pbuilder-satisfydepends-dummy depends on symlinks; however: Package symlinks is not installed. pbuilder-satisfydepends-dummy depends on jupyter-nbconvert; however: Package jupyter-nbconvert is not installed. pbuilder-satisfydepends-dummy depends on python3-ipykernel; however: Package python3-ipykernel is not installed. pbuilder-satisfydepends-dummy depends on node-browserify-lite; however: Package node-browserify-lite is not installed. pbuilder-satisfydepends-dummy depends on node-uglify; however: Package node-uglify is not installed. pbuilder-satisfydepends-dummy depends on node-pegjs; however: Package node-pegjs is not installed. pbuilder-satisfydepends-dummy depends on node-lodash-compat; however: Package node-lodash-compat is not installed. pbuilder-satisfydepends-dummy depends on libjs-d3; however: Package libjs-d3 is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: autoconf{a} automake{a} autopoint{a} autotools-dev{a} bsdmainutils{a} ca-certificates{a} cython{a} cython3{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} docutils-common{a} dvipng{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-font-awesome{a} fonts-lato{a} fonts-lmodern{a} fonts-roboto-slab{a} gettext{a} gettext-base{a} ghostscript{a} graphviz{a} groff-base{a} intltool-debian{a} jupyter-nbconvert{a} latexmk{a} libarchive-zip-perl{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libblas-dev{a} libblas3{a} libbrotli1{a} libbsd0{a} libc-ares2{a} libcairo2{a} libcdt5{a} libcgraph6{a} libcroco3{a} libcups2{a} libcupsimage2{a} libdatrie1{a} libdbus-1-3{a} libelf1{a} libexpat1{a} libexpat1-dev{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgd3{a} libgfortran5{a} libglib2.0-0{a} libgraphite2-3{a} libgs9{a} libgs9-common{a} libgssapi-krb5-2{a} libgts-0.7-5{a} libgvc6{a} libgvpr2{a} libharfbuzz-icu0{a} libharfbuzz0b{a} libice6{a} libicu63{a} libidn11{a} libijs-0.35{a} libjbig0{a} libjbig2dec0{a} libjpeg62-turbo{a} libjs-d3{a} libjs-jquery{a} libjs-modernizr{a} libjs-sphinxdoc{a} libjs-underscore{a} libk5crypto3{a} libkeyutils1{a} libkpathsea6{a} libkrb5-3{a} libkrb5support0{a} liblab-gamut1{a} liblapack3{a} liblcms2-2{a} libltdl7{a} libmagic-mgc{a} libmagic1{a} libmpdec2{a} libncurses6{a} libnode64{a} libnorm1{a} libopenjp2-7{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper1{a} libpathplan4{a} libpgm-5.2-0{a} libpipeline1{a} libpixman-1-0{a} libpng16-16{a} libpotrace0{a} libptexenc1{a} libpython-dev{a} libpython-stdlib{a} libpython2-dev{a} libpython2-stdlib{a} libpython2.7{a} libpython2.7-dev{a} libpython2.7-minimal{a} libpython2.7-stdlib{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.7{a} libpython3.7-dev{a} libpython3.7-minimal{a} libpython3.7-stdlib{a} libreadline7{a} libsigsegv2{a} libsm6{a} libsodium23{a} libssl1.1{a} libsynctex2{a} libteckit0{a} libtexlua52{a} libtexlua53{a} libthai-data{a} libthai0{a} libtiff5{a} libtool{a} libuchardet0{a} libuv1{a} libwebp6{a} libwoff1{a} libx11-6{a} libx11-data{a} libxau6{a} libxaw7{a} libxcb-render0{a} libxcb-shm0{a} libxcb1{a} libxdmcp6{a} libxdot4{a} libxext6{a} libxi6{a} libxml2{a} libxmu6{a} libxpm4{a} libxrender1{a} libxt6{a} libxxhash0{a} libzmq5{a} libzzip-0-13{a} lsb-base{a} m4{a} man-db{a} mime-support{a} node-ansi-regex{a} node-ansi-styles{a} node-browserify-lite{a} node-camelcase{a} node-cliui{a} node-clone{a} node-color-convert{a} node-color-name{a} node-cross-spawn{a} node-decamelize{a} node-defaults{a} node-execa{a} node-find-up{a} node-get-caller-file{a} node-get-stream{a} node-invert-kv{a} node-is-stream{a} node-isexe{a} node-lcid{a} node-locate-path{a} node-lodash-compat{a} node-lru-cache{a} node-mem{a} node-mimic-fn{a} node-npm-run-path{a} node-os-locale{a} node-p-finally{a} node-p-limit{a} node-p-locate{a} node-path-exists{a} node-pegjs{a} node-pend{a} node-require-directory{a} node-require-main-filename{a} node-set-blocking{a} node-shebang-command{a} node-shebang-regex{a} node-signal-exit{a} node-string-width{a} node-strip-ansi{a} node-strip-eof{a} node-uglify{a} node-wcwidth.js{a} node-which{a} node-which-module{a} node-wrap-ansi{a} node-y18n{a} node-yallist{a} node-yargs{a} node-yargs-parser{a} nodejs{a} openssl{a} po-debconf{a} poppler-data{a} preview-latex-style{a} python{a} python-babel-localedata{a} python-decorator{a} python-dev{a} python-minimal{a} python-nose{a} python-numpy{a} python-parameterized{a} python-pkg-resources{a} python-pydot-ng{a} python-pyparsing{a} python-scipy{a} python-setuptools{a} python-six{a} python2{a} python2-dev{a} python2-minimal{a} python2.7{a} python2.7-dev{a} python2.7-minimal{a} python3{a} python3-alabaster{a} python3-babel{a} python3-bleach{a} python3-certifi{a} python3-chardet{a} python3-dateutil{a} python3-decorator{a} python3-defusedxml{a} python3-dev{a} python3-distutils{a} python3-docutils{a} python3-entrypoints{a} python3-html5lib{a} python3-idna{a} python3-imagesize{a} python3-ipykernel{a} python3-ipython{a} python3-ipython-genutils{a} python3-jinja2{a} python3-jsonschema{a} python3-jupyter-client{a} python3-jupyter-core{a} python3-lib2to3{a} python3-markupsafe{a} python3-minimal{a} python3-mistune{a} python3-nbconvert{a} python3-nbformat{a} python3-nose{a} python3-numpy{a} python3-packaging{a} python3-pandocfilters{a} python3-parameterized{a} python3-pexpect{a} python3-pickleshare{a} python3-pkg-resources{a} python3-prompt-toolkit{a} python3-ptyprocess{a} python3-pydot{a} python3-pygments{a} python3-pyparsing{a} python3-requests{a} python3-roman{a} python3-scipy{a} python3-setuptools{a} python3-simplegeneric{a} python3-six{a} python3-sphinx{a} python3-sphinx-rtd-theme{a} python3-testpath{a} python3-tornado{a} python3-traitlets{a} python3-tz{a} python3-urllib3{a} python3-wcwidth{a} python3-webencodings{a} python3-zmq{a} python3.7{a} python3.7-dev{a} python3.7-minimal{a} rdfind{a} readline-common{a} sensible-utils{a} sgml-base{a} sphinx-common{a} sphinx-rtd-theme-common{a} symlinks{a} t1utils{a} tex-common{a} texlive-base{a} texlive-binaries{a} texlive-fonts-recommended{a} texlive-latex-base{a} texlive-latex-extra{a} texlive-latex-recommended{a} texlive-pictures{a} ucf{a} x11-common{a} xdg-utils{a} xml-core{a} The following packages are RECOMMENDED but will NOT be installed: atril curl dbus evince fonts-droid-fallback fonts-liberation gsfonts gv javascript-common krb5-locales libarchive-cpio-perl libcupsfilters1 libfile-mimeinfo-perl libglib2.0-data libgpm2 libgts-bin libltdl-dev libmail-sendmail-perl libnet-dbus-perl libx11-protocol-perl lmodern lynx mupdf node-source-map nodejs-doc okular pandoc python-pil python3-pil python3-pip ruby shared-mime-info tex-gyre texlive-plain-generic tipa tk viewpdf.app wget x11-utils x11-xserver-utils xdg-user-dirs xpdf zathura-pdf-poppler 0 packages upgraded, 317 newly installed, 0 to remove and 0 not upgraded. Need to get 216 MB of archives. After unpacking 753 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian buster/main arm64 libbsd0 arm64 0.9.1-2 [97.4 kB] Get: 2 http://deb.debian.org/debian buster/main arm64 bsdmainutils arm64 11.1.2+b1 [185 kB] Get: 3 http://deb.debian.org/debian buster/main arm64 libuchardet0 arm64 0.0.6-3 [65.0 kB] Get: 4 http://deb.debian.org/debian buster/main arm64 groff-base arm64 1.22.4-3 [869 kB] Get: 5 http://deb.debian.org/debian buster/main arm64 libpipeline1 arm64 1.5.1-2 [29.8 kB] Get: 6 http://deb.debian.org/debian buster/main arm64 man-db arm64 2.8.5-2 [1258 kB] Get: 7 http://deb.debian.org/debian buster/main arm64 libpython2.7-minimal arm64 2.7.16-2+deb10u1 [395 kB] Get: 8 http://deb.debian.org/debian buster/main arm64 python2.7-minimal arm64 2.7.16-2+deb10u1 [1292 kB] Get: 9 http://deb.debian.org/debian buster/main arm64 python2-minimal arm64 2.7.16-1 [41.4 kB] Get: 10 http://deb.debian.org/debian buster/main arm64 python-minimal arm64 2.7.16-1 [21.0 kB] Get: 11 http://deb.debian.org/debian buster/main arm64 libssl1.1 arm64 1.1.1d-0+deb10u3 [1382 kB] Get: 12 http://deb.debian.org/debian buster/main arm64 mime-support all 3.62 [37.2 kB] Get: 13 http://deb.debian.org/debian buster/main arm64 libexpat1 arm64 2.2.6-2+deb10u1 [85.4 kB] Get: 14 http://deb.debian.org/debian buster/main arm64 readline-common all 7.0-5 [70.6 kB] Get: 15 http://deb.debian.org/debian buster/main arm64 libreadline7 arm64 7.0-5 [134 kB] Get: 16 http://deb.debian.org/debian buster/main arm64 libpython2.7-stdlib arm64 2.7.16-2+deb10u1 [1890 kB] Get: 17 http://deb.debian.org/debian buster/main arm64 python2.7 arm64 2.7.16-2+deb10u1 [305 kB] Get: 18 http://deb.debian.org/debian buster/main arm64 libpython2-stdlib arm64 2.7.16-1 [20.8 kB] Get: 19 http://deb.debian.org/debian buster/main arm64 libpython-stdlib arm64 2.7.16-1 [20.8 kB] Get: 20 http://deb.debian.org/debian buster/main arm64 python2 arm64 2.7.16-1 [41.6 kB] Get: 21 http://deb.debian.org/debian buster/main arm64 python arm64 2.7.16-1 [22.8 kB] Get: 22 http://deb.debian.org/debian buster/main arm64 fonts-lato all 2.0-2 [2698 kB] Get: 23 http://deb.debian.org/debian buster/main arm64 poppler-data all 0.4.9-2 [1473 kB] Get: 24 http://deb.debian.org/debian buster/main arm64 libpython3.7-minimal arm64 3.7.3-2+deb10u2 [588 kB] Get: 25 http://deb.debian.org/debian buster/main arm64 python3.7-minimal arm64 3.7.3-2+deb10u2 [1404 kB] Get: 26 http://deb.debian.org/debian buster/main arm64 python3-minimal arm64 3.7.3-1 [36.6 kB] Get: 27 http://deb.debian.org/debian buster/main arm64 libmpdec2 arm64 2.4.2-2 [77.7 kB] Get: 28 http://deb.debian.org/debian buster/main arm64 libpython3.7-stdlib arm64 3.7.3-2+deb10u2 [1641 kB] Get: 29 http://deb.debian.org/debian buster/main arm64 python3.7 arm64 3.7.3-2+deb10u2 [330 kB] Get: 30 http://deb.debian.org/debian buster/main arm64 libpython3-stdlib arm64 3.7.3-1 [20.0 kB] Get: 31 http://deb.debian.org/debian buster/main arm64 python3 arm64 3.7.3-1 [61.5 kB] Get: 32 http://deb.debian.org/debian buster/main arm64 sgml-base all 1.29 [14.8 kB] Get: 33 http://deb.debian.org/debian buster/main arm64 sensible-utils all 0.0.12 [15.8 kB] Get: 34 http://deb.debian.org/debian buster/main arm64 ucf all 3.0038+nmu1 [69.0 kB] Get: 35 http://deb.debian.org/debian buster/main arm64 tex-common all 6.11 [53.1 kB] Get: 36 http://deb.debian.org/debian buster/main arm64 libmagic-mgc arm64 1:5.35-4+deb10u1 [242 kB] Get: 37 http://deb.debian.org/debian buster/main arm64 libmagic1 arm64 1:5.35-4+deb10u1 [115 kB] Get: 38 http://deb.debian.org/debian buster/main arm64 file arm64 1:5.35-4+deb10u1 [66.4 kB] Get: 39 http://deb.debian.org/debian buster/main arm64 gettext-base arm64 0.19.8.1-9 [120 kB] Get: 40 http://deb.debian.org/debian buster/main arm64 libsigsegv2 arm64 2.12-2 [32.3 kB] Get: 41 http://deb.debian.org/debian buster/main arm64 m4 arm64 1.4.18-2 [198 kB] Get: 42 http://deb.debian.org/debian buster/main arm64 autoconf all 2.69-11 [341 kB] Get: 43 http://deb.debian.org/debian buster/main arm64 autotools-dev all 20180224.1 [77.0 kB] Get: 44 http://deb.debian.org/debian buster/main arm64 automake all 1:1.16.1-4 [771 kB] Get: 45 http://deb.debian.org/debian buster/main arm64 autopoint all 0.19.8.1-9 [434 kB] Get: 46 http://deb.debian.org/debian buster/main arm64 openssl arm64 1.1.1d-0+deb10u3 [823 kB] Get: 47 http://deb.debian.org/debian buster/main arm64 ca-certificates all 20190110 [157 kB] Get: 48 http://deb.debian.org/debian buster/main arm64 cython arm64 0.29.2-2 [1244 kB] Get: 49 http://deb.debian.org/debian buster/main arm64 cython3 arm64 0.29.2-2 [1259 kB] Get: 50 http://deb.debian.org/debian buster/main arm64 libtool all 2.4.6-9 [547 kB] Get: 51 http://deb.debian.org/debian buster/main arm64 dh-autoreconf all 19 [16.9 kB] Get: 52 http://deb.debian.org/debian buster/main arm64 libarchive-zip-perl all 1.64-1 [96.8 kB] Get: 53 http://deb.debian.org/debian buster/main arm64 libfile-stripnondeterminism-perl all 1.1.2-1 [19.8 kB] Get: 54 http://deb.debian.org/debian buster/main arm64 dh-strip-nondeterminism all 1.1.2-1 [13.0 kB] Get: 55 http://deb.debian.org/debian buster/main arm64 libelf1 arm64 0.176-1.1 [160 kB] Get: 56 http://deb.debian.org/debian buster/main arm64 dwz arm64 0.12-3 [71.7 kB] Get: 57 http://deb.debian.org/debian buster/main arm64 libglib2.0-0 arm64 2.58.3-2+deb10u2 [1185 kB] Get: 58 http://deb.debian.org/debian buster/main arm64 libicu63 arm64 63.1-6+deb10u1 [8151 kB] Get: 59 http://deb.debian.org/debian buster/main arm64 libxml2 arm64 2.9.4+dfsg1-7+b3 [623 kB] Get: 60 http://deb.debian.org/debian buster/main arm64 libcroco3 arm64 0.6.12-3 [140 kB] Get: 61 http://deb.debian.org/debian buster/main arm64 libncurses6 arm64 6.1+20181013-2+deb10u2 [92.6 kB] Get: 62 http://deb.debian.org/debian buster/main arm64 gettext arm64 0.19.8.1-9 [1261 kB] Get: 63 http://deb.debian.org/debian buster/main arm64 intltool-debian all 0.35.0+20060710.5 [26.8 kB] Get: 64 http://deb.debian.org/debian buster/main arm64 po-debconf all 1.0.21 [248 kB] Get: 65 http://deb.debian.org/debian buster/main arm64 debhelper all 12.1.1 [1016 kB] Get: 66 http://deb.debian.org/debian buster/main arm64 python3-lib2to3 all 3.7.3-1 [76.7 kB] Get: 67 http://deb.debian.org/debian buster/main arm64 python3-distutils all 3.7.3-1 [142 kB] Get: 68 http://deb.debian.org/debian buster/main arm64 dh-python all 3.20190308 [99.3 kB] Get: 69 http://deb.debian.org/debian buster/main arm64 xml-core all 0.18+nmu1 [23.8 kB] Get: 70 http://deb.debian.org/debian buster/main arm64 docutils-common all 0.14+dfsg-4 [167 kB] Get: 71 http://deb.debian.org/debian buster/main arm64 libpng16-16 arm64 1.6.36-6 [287 kB] Get: 72 http://deb.debian.org/debian buster/main arm64 libfreetype6 arm64 2.9.1-3+deb10u1 [355 kB] Get: 73 http://deb.debian.org/debian buster/main arm64 fonts-dejavu-core all 2.37-1 [1068 kB] Get: 74 http://deb.debian.org/debian buster/main arm64 fontconfig-config all 2.13.1-2 [280 kB] Get: 75 http://deb.debian.org/debian buster/main arm64 libfontconfig1 arm64 2.13.1-2 [343 kB] Get: 76 http://deb.debian.org/debian buster/main arm64 libjpeg62-turbo arm64 1:1.5.2-2+b1 [115 kB] Get: 77 http://deb.debian.org/debian buster/main arm64 libjbig0 arm64 2.1-3.1+b2 [27.8 kB] Get: 78 http://deb.debian.org/debian buster/main arm64 libwebp6 arm64 0.6.1-2 [233 kB] Get: 79 http://deb.debian.org/debian buster/main arm64 libtiff5 arm64 4.1.0+git191117-2~deb10u1 [259 kB] Get: 80 http://deb.debian.org/debian buster/main arm64 libxau6 arm64 1:1.0.8-1+b2 [19.3 kB] Get: 81 http://deb.debian.org/debian buster/main arm64 libxdmcp6 arm64 1:1.1.2-3 [25.4 kB] Get: 82 http://deb.debian.org/debian buster/main arm64 libxcb1 arm64 1.13.1-2 [135 kB] Get: 83 http://deb.debian.org/debian buster/main arm64 libx11-data all 2:1.6.7-1 [298 kB] Get: 84 http://deb.debian.org/debian buster/main arm64 libx11-6 arm64 2:1.6.7-1 [735 kB] Get: 85 http://deb.debian.org/debian buster/main arm64 libxpm4 arm64 1:3.5.12-1 [43.9 kB] Get: 86 http://deb.debian.org/debian buster/main arm64 libgd3 arm64 2.2.5-5.2 [125 kB] Get: 87 http://deb.debian.org/debian buster/main arm64 libkpathsea6 arm64 2018.20181218.49446-1 [164 kB] Get: 88 http://deb.debian.org/debian buster/main arm64 libptexenc1 arm64 2018.20181218.49446-1 [60.3 kB] Get: 89 http://deb.debian.org/debian buster/main arm64 libsynctex2 arm64 2018.20181218.49446-1 [77.8 kB] Get: 90 http://deb.debian.org/debian buster/main arm64 libtexlua52 arm64 2018.20181218.49446-1 [107 kB] Get: 91 http://deb.debian.org/debian buster/main arm64 libtexlua53 arm64 2018.20181218.49446-1 [118 kB] Get: 92 http://deb.debian.org/debian buster/main arm64 t1utils arm64 1.41-3 [59.7 kB] Get: 93 http://deb.debian.org/debian buster/main arm64 libbrotli1 arm64 1.0.7-2 [261 kB] Get: 94 http://deb.debian.org/debian buster/main arm64 libpixman-1-0 arm64 0.36.0-1 [436 kB] Get: 95 http://deb.debian.org/debian buster/main arm64 libxcb-render0 arm64 1.13.1-2 [108 kB] Get: 96 http://deb.debian.org/debian buster/main arm64 libxcb-shm0 arm64 1.13.1-2 [99.3 kB] Get: 97 http://deb.debian.org/debian buster/main arm64 libxext6 arm64 2:1.3.3-1+b2 [48.6 kB] Get: 98 http://deb.debian.org/debian buster/main arm64 libxrender1 arm64 1:0.9.10-1 [30.4 kB] Get: 99 http://deb.debian.org/debian buster/main arm64 libcairo2 arm64 1.16.0-4 [644 kB] Get: 100 http://deb.debian.org/debian buster/main arm64 libgraphite2-3 arm64 1.3.13-7 [75.8 kB] Get: 101 http://deb.debian.org/debian buster/main arm64 libgs9-common all 9.27~dfsg-2+deb10u3 [5136 kB] Get: 102 http://deb.debian.org/debian buster/main arm64 libavahi-common-data arm64 0.7-4+b1 [122 kB] Get: 103 http://deb.debian.org/debian buster/main arm64 libavahi-common3 arm64 0.7-4+b1 [53.5 kB] Get: 104 http://deb.debian.org/debian buster/main arm64 libdbus-1-3 arm64 1.12.20-0+deb10u1 [206 kB] Get: 105 http://deb.debian.org/debian buster/main arm64 libavahi-client3 arm64 0.7-4+b1 [56.8 kB] Get: 106 http://deb.debian.org/debian buster/main arm64 libkeyutils1 arm64 1.6-6 [14.9 kB] Get: 107 http://deb.debian.org/debian buster/main arm64 libkrb5support0 arm64 1.17-3 [64.7 kB] Get: 108 http://deb.debian.org/debian buster/main arm64 libk5crypto3 arm64 1.17-3 [122 kB] Get: 109 http://deb.debian.org/debian buster/main arm64 libkrb5-3 arm64 1.17-3 [353 kB] Get: 110 http://deb.debian.org/debian buster/main arm64 libgssapi-krb5-2 arm64 1.17-3 [150 kB] Get: 111 http://deb.debian.org/debian buster/main arm64 libcups2 arm64 2.2.10-6+deb10u3 [310 kB] Get: 112 http://deb.debian.org/debian buster/main arm64 libcupsimage2 arm64 2.2.10-6+deb10u3 [132 kB] Get: 113 http://deb.debian.org/debian buster/main arm64 libidn11 arm64 1.33-2.2 [113 kB] Get: 114 http://deb.debian.org/debian buster/main arm64 libijs-0.35 arm64 0.35-14 [17.9 kB] Get: 115 http://deb.debian.org/debian buster/main arm64 libjbig2dec0 arm64 0.16-1 [58.1 kB] Get: 116 http://deb.debian.org/debian buster/main arm64 liblcms2-2 arm64 2.9-3 [137 kB] Get: 117 http://deb.debian.org/debian buster/main arm64 libopenjp2-7 arm64 2.3.0-2+deb10u1 [148 kB] Get: 118 http://deb.debian.org/debian buster/main arm64 libpaper1 arm64 1.1.28 [21.1 kB] Get: 119 http://deb.debian.org/debian buster/main arm64 libgs9 arm64 9.27~dfsg-2+deb10u3 [2029 kB] Get: 120 http://deb.debian.org/debian buster/main arm64 libharfbuzz0b arm64 2.3.1-1 [1155 kB] Get: 121 http://deb.debian.org/debian buster/main arm64 libharfbuzz-icu0 arm64 2.3.1-1 [834 kB] Get: 122 http://deb.debian.org/debian buster/main arm64 lsb-base all 10.2019051400 [28.4 kB] Get: 123 http://deb.debian.org/debian buster/main arm64 x11-common all 1:7.7+19 [251 kB] Get: 124 http://deb.debian.org/debian buster/main arm64 libice6 arm64 2:1.0.9-2 [52.0 kB] Get: 125 http://deb.debian.org/debian buster/main arm64 libpotrace0 arm64 1.15-1 [23.6 kB] Get: 126 http://deb.debian.org/debian buster/main arm64 libsm6 arm64 2:1.2.3-1 [34.0 kB] Get: 127 http://deb.debian.org/debian buster/main arm64 libteckit0 arm64 2.5.8+ds2-5 [284 kB] Get: 128 http://deb.debian.org/debian buster/main arm64 libwoff1 arm64 1.0.2-1 [40.7 kB] Get: 129 http://deb.debian.org/debian buster/main arm64 libxt6 arm64 1:1.1.5-1+b3 [175 kB] Get: 130 http://deb.debian.org/debian buster/main arm64 libxmu6 arm64 2:1.1.2-2+b3 [57.8 kB] Get: 131 http://deb.debian.org/debian buster/main arm64 libxaw7 arm64 2:1.0.13-1+b2 [167 kB] Get: 132 http://deb.debian.org/debian buster/main arm64 libxi6 arm64 2:1.7.9-1 [79.0 kB] Get: 133 http://deb.debian.org/debian buster/main arm64 libxxhash0 arm64 0.6.5-2 [7684 B] Get: 134 http://deb.debian.org/debian buster/main arm64 libzzip-0-13 arm64 0.13.62-3.2 [55.5 kB] Get: 135 http://deb.debian.org/debian buster/main arm64 texlive-binaries arm64 2018.20181218.49446-1 [8464 kB] Get: 136 http://deb.debian.org/debian buster/main arm64 ghostscript arm64 9.27~dfsg-2+deb10u3 [94.9 kB] Get: 137 http://deb.debian.org/debian buster/main arm64 dvipng arm64 1.15-1.1 [84.7 kB] Get: 138 http://deb.debian.org/debian buster/main arm64 fontconfig arm64 2.13.1-2 [405 kB] Get: 139 http://deb.debian.org/debian buster/main arm64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-1 [515 kB] Get: 140 http://deb.debian.org/debian buster/main arm64 fonts-lmodern all 2.004.5-6 [4539 kB] Get: 141 http://deb.debian.org/debian buster/main arm64 fonts-roboto-slab all 1.100263+20170512-1 [207 kB] Get: 142 http://deb.debian.org/debian buster/main arm64 libcdt5 arm64 2.40.1-6 [59.6 kB] Get: 143 http://deb.debian.org/debian buster/main arm64 libcgraph6 arm64 2.40.1-6 [81.8 kB] Get: 144 http://deb.debian.org/debian buster/main arm64 libgts-0.7-5 arm64 0.7.6+darcs121130-4 [125 kB] Get: 145 http://deb.debian.org/debian buster/main arm64 libltdl7 arm64 2.4.6-9 [389 kB] Get: 146 http://deb.debian.org/debian buster/main arm64 libfribidi0 arm64 1.0.5-3.1+deb10u1 [63.6 kB] Get: 147 http://deb.debian.org/debian buster/main arm64 libthai-data all 0.1.28-2 [170 kB] Get: 148 http://deb.debian.org/debian buster/main arm64 libdatrie1 arm64 0.2.12-2 [38.6 kB] Get: 149 http://deb.debian.org/debian buster/main arm64 libthai0 arm64 0.1.28-2 [52.8 kB] Get: 150 http://deb.debian.org/debian buster/main arm64 libpango-1.0-0 arm64 1.42.4-8~deb10u1 [179 kB] Get: 151 http://deb.debian.org/debian buster/main arm64 libpangoft2-1.0-0 arm64 1.42.4-8~deb10u1 [65.7 kB] Get: 152 http://deb.debian.org/debian buster/main arm64 libpangocairo-1.0-0 arm64 1.42.4-8~deb10u1 [54.0 kB] Get: 153 http://deb.debian.org/debian buster/main arm64 libpathplan4 arm64 2.40.1-6 [61.9 kB] Get: 154 http://deb.debian.org/debian buster/main arm64 libxdot4 arm64 2.40.1-6 [57.0 kB] Get: 155 http://deb.debian.org/debian buster/main arm64 libgvc6 arm64 2.40.1-6 [590 kB] Get: 156 http://deb.debian.org/debian buster/main arm64 libgvpr2 arm64 2.40.1-6 [204 kB] Get: 157 http://deb.debian.org/debian buster/main arm64 liblab-gamut1 arm64 2.40.1-6 [220 kB] Get: 158 http://deb.debian.org/debian buster/main arm64 graphviz arm64 2.40.1-6 [560 kB] Get: 159 http://deb.debian.org/debian buster/main arm64 python3-entrypoints all 0.3-1 [5508 B] Get: 160 http://deb.debian.org/debian buster/main arm64 python3-decorator all 4.3.0-1.1 [14.5 kB] Get: 161 http://deb.debian.org/debian buster/main arm64 python3-ptyprocess all 0.6.0-1 [13.2 kB] Get: 162 http://deb.debian.org/debian buster/main arm64 python3-pexpect all 4.6.0-1 [52.4 kB] Get: 163 http://deb.debian.org/debian buster/main arm64 python3-pickleshare all 0.7.5-1 [7348 B] Get: 164 http://deb.debian.org/debian buster/main arm64 python3-pkg-resources all 40.8.0-1 [153 kB] Get: 165 http://deb.debian.org/debian buster/main arm64 python3-six all 1.12.0-1 [15.7 kB] Get: 166 http://deb.debian.org/debian buster/main arm64 python3-wcwidth all 0.1.7+dfsg1-3 [15.0 kB] Get: 167 http://deb.debian.org/debian buster/main arm64 python3-prompt-toolkit all 1.0.15-1 [179 kB] Get: 168 http://deb.debian.org/debian buster/main arm64 python3-pygments all 2.3.1+dfsg-1 [594 kB] Get: 169 http://deb.debian.org/debian buster/main arm64 python3-simplegeneric all 0.8.1-2 [11.1 kB] Get: 170 http://deb.debian.org/debian buster/main arm64 python3-ipython-genutils all 0.2.0-1 [20.9 kB] Get: 171 http://deb.debian.org/debian buster/main arm64 python3-traitlets all 4.3.2-1 [60.7 kB] Get: 172 http://deb.debian.org/debian buster/main arm64 python3-ipython all 5.8.0-1 [390 kB] Get: 173 http://deb.debian.org/debian buster/main arm64 python3-dateutil all 2.7.3-3 [64.5 kB] Get: 174 http://deb.debian.org/debian buster/main arm64 python3-jupyter-core all 4.4.0-2 [38.5 kB] Get: 175 http://deb.debian.org/debian buster/main arm64 python3-tornado arm64 5.1.1-4 [354 kB] Get: 176 http://deb.debian.org/debian buster/main arm64 libnorm1 arm64 1.5.8+dfsg2-1 [261 kB] Get: 177 http://deb.debian.org/debian buster/main arm64 libpgm-5.2-0 arm64 5.2.122~dfsg-3 [150 kB] Get: 178 http://deb.debian.org/debian buster/main arm64 libsodium23 arm64 1.0.17-1 [114 kB] Get: 179 http://deb.debian.org/debian buster/main arm64 libzmq5 arm64 4.3.1-4+deb10u1 [219 kB] Get: 180 http://deb.debian.org/debian buster/main arm64 python3-zmq arm64 17.1.2-2 [247 kB] Get: 181 http://deb.debian.org/debian buster/main arm64 python3-jupyter-client all 5.2.3-1 [63.7 kB] Get: 182 http://deb.debian.org/debian buster/main arm64 python3-testpath all 0.4.2+dfsg-1 [8796 B] Get: 183 http://deb.debian.org/debian buster/main arm64 python3-webencodings all 0.5.1-1 [10.9 kB] Get: 184 http://deb.debian.org/debian buster/main arm64 python3-html5lib all 1.0.1-1 [89.5 kB] Get: 185 http://deb.debian.org/debian buster/main arm64 python3-bleach all 3.1.2-0+deb10u1 [114 kB] Get: 186 http://deb.debian.org/debian buster/main arm64 python3-defusedxml all 0.5.0-2 [20.1 kB] Get: 187 http://deb.debian.org/debian buster/main arm64 python3-markupsafe arm64 1.1.0-1 [14.8 kB] Get: 188 http://deb.debian.org/debian buster/main arm64 python3-jinja2 all 2.10-2 [106 kB] Get: 189 http://deb.debian.org/debian buster/main arm64 python3-mistune all 0.8.4-1 [16.1 kB] Get: 190 http://deb.debian.org/debian buster/main arm64 python3-jsonschema all 2.6.0-4 [33.5 kB] Get: 191 http://deb.debian.org/debian buster/main arm64 python3-nbformat all 4.4.0-1 [30.1 kB] Get: 192 http://deb.debian.org/debian buster/main arm64 python3-pandocfilters all 1.4.2-1 [18.7 kB] Get: 193 http://deb.debian.org/debian buster/main arm64 python3-nbconvert all 5.4-2 [103 kB] Get: 194 http://deb.debian.org/debian buster/main arm64 jupyter-nbconvert all 5.4-2 [12.6 kB] Get: 195 http://deb.debian.org/debian buster/main arm64 libpaper-utils arm64 1.1.28 [18.0 kB] Get: 196 http://deb.debian.org/debian buster/main arm64 xdg-utils all 1.1.3-1+deb10u1 [73.7 kB] Get: 197 http://deb.debian.org/debian buster/main arm64 texlive-base all 2018.20190227-2 [19.7 MB] Get: 198 http://deb.debian.org/debian buster/main arm64 texlive-latex-base all 2018.20190227-2 [984 kB] Get: 199 http://deb.debian.org/debian buster/main arm64 latexmk all 1:4.61-0.1 [390 kB] Get: 200 http://deb.debian.org/debian buster/main arm64 libgfortran5 arm64 8.3.0-6 [298 kB] Get: 201 http://deb.debian.org/debian buster/main arm64 libblas3 arm64 3.8.0-2 [100 kB] Get: 202 http://deb.debian.org/debian buster/main arm64 libblas-dev arm64 3.8.0-2 [105 kB] Get: 203 http://deb.debian.org/debian buster/main arm64 libc-ares2 arm64 1.14.0-1 [81.5 kB] Get: 204 http://deb.debian.org/debian buster/main arm64 libexpat1-dev arm64 2.2.6-2+deb10u1 [128 kB] Get: 205 http://deb.debian.org/debian buster/main arm64 libjs-d3 all 3.5.17-2 [132 kB] Get: 206 http://deb.debian.org/debian buster/main arm64 libjs-jquery all 3.3.1~dfsg-3 [332 kB] Get: 207 http://deb.debian.org/debian buster/main arm64 libjs-modernizr all 2.6.2+ds1-3 [46.7 kB] Get: 208 http://deb.debian.org/debian buster/main arm64 libjs-underscore all 1.9.1~dfsg-1 [99.4 kB] Get: 209 http://deb.debian.org/debian buster/main arm64 libjs-sphinxdoc all 1.8.4-1 [95.9 kB] Get: 210 http://deb.debian.org/debian buster/main arm64 liblapack3 arm64 3.8.0-2 [1489 kB] Get: 211 http://deb.debian.org/debian buster/main arm64 libuv1 arm64 1.24.1-1 [105 kB] Get: 212 http://deb.debian.org/debian buster/main arm64 libnode64 arm64 10.21.0~dfsg-1~deb10u1 [5268 kB] Get: 213 http://deb.debian.org/debian buster/main arm64 libpython2.7 arm64 2.7.16-2+deb10u1 [958 kB] Get: 214 http://deb.debian.org/debian buster/main arm64 libpython2.7-dev arm64 2.7.16-2+deb10u1 [31.5 MB] Get: 215 http://deb.debian.org/debian buster/main arm64 libpython2-dev arm64 2.7.16-1 [20.9 kB] Get: 216 http://deb.debian.org/debian buster/main arm64 libpython-dev arm64 2.7.16-1 [20.9 kB] Get: 217 http://deb.debian.org/debian buster/main arm64 libpython3.7 arm64 3.7.3-2+deb10u2 [1371 kB] Get: 218 http://deb.debian.org/debian buster/main arm64 libpython3.7-dev arm64 3.7.3-2+deb10u2 [2380 kB] Get: 219 http://deb.debian.org/debian buster/main arm64 libpython3-dev arm64 3.7.3-1 [20.1 kB] Get: 220 http://deb.debian.org/debian buster/main arm64 nodejs arm64 10.21.0~dfsg-1~deb10u1 [87.1 kB] Get: 221 http://deb.debian.org/debian buster/main arm64 node-ansi-regex all 3.0.0-1 [3658 B] Get: 222 http://deb.debian.org/debian buster/main arm64 node-color-name all 1.1.3-1 [4090 B] Get: 223 http://deb.debian.org/debian buster/main arm64 node-color-convert all 1.9.0-3 [10.1 kB] Get: 224 http://deb.debian.org/debian buster/main arm64 node-ansi-styles all 3.2.1-1 [5684 B] Get: 225 http://deb.debian.org/debian buster/main arm64 node-pend all 1.2.0-1 [3272 B] Get: 226 http://deb.debian.org/debian buster/main arm64 node-browserify-lite all 0.5.0-7 [9472 B] Get: 227 http://deb.debian.org/debian buster/main arm64 node-camelcase all 5.0.0-1 [3964 B] Get: 228 http://deb.debian.org/debian buster/main arm64 node-clone all 2.1.2-1 [7880 B] Get: 229 http://deb.debian.org/debian buster/main arm64 node-defaults all 1.0.3-1 [3108 B] Get: 230 http://deb.debian.org/debian buster/main arm64 node-wcwidth.js all 1.0.0-1 [6408 B] Get: 231 http://deb.debian.org/debian buster/main arm64 node-strip-ansi all 4.0.0-1 [3078 B] Get: 232 http://deb.debian.org/debian buster/main arm64 node-string-width all 2.1.1-1 [3992 B] Get: 233 http://deb.debian.org/debian buster/main arm64 node-wrap-ansi all 4.0.0-1 [5444 B] Get: 234 http://deb.debian.org/debian buster/main arm64 node-cliui all 4.1.0-1 [7832 B] Get: 235 http://deb.debian.org/debian buster/main arm64 node-yallist all 3.0.3-1 [6052 B] Get: 236 http://deb.debian.org/debian buster/main arm64 node-lru-cache all 5.1.1-4 [8320 B] Get: 237 http://deb.debian.org/debian buster/main arm64 node-isexe all 2.0.0-4 [4404 B] Get: 238 http://deb.debian.org/debian buster/main arm64 node-which all 1.3.0-2 [5804 B] Get: 239 http://deb.debian.org/debian buster/main arm64 node-shebang-regex all 2.0.0-1 [2742 B] Get: 240 http://deb.debian.org/debian buster/main arm64 node-shebang-command all 1.2.0-1 [2900 B] Get: 241 http://deb.debian.org/debian buster/main arm64 node-cross-spawn all 5.1.0-2 [8732 B] Get: 242 http://deb.debian.org/debian buster/main arm64 node-decamelize all 1.2.0-1 [3044 B] Get: 243 http://deb.debian.org/debian buster/main arm64 node-get-stream all 3.0.0-1 [4724 B] Get: 244 http://deb.debian.org/debian buster/main arm64 node-is-stream all 1.1.0-1 [2998 B] Get: 245 http://deb.debian.org/debian buster/main arm64 node-npm-run-path all 2.0.2-2 [4412 B] Get: 246 http://deb.debian.org/debian buster/main arm64 node-p-finally all 1.0.0-2 [3230 B] Get: 247 http://deb.debian.org/debian buster/main arm64 node-signal-exit all 3.0.2-1 [5648 B] Get: 248 http://deb.debian.org/debian buster/main arm64 node-strip-eof all 1.0.0-2 [3010 B] Get: 249 http://deb.debian.org/debian buster/main arm64 node-execa all 0.10.0+dfsg-1 [8936 B] Get: 250 http://deb.debian.org/debian buster/main arm64 node-p-limit all 1.1.0-1 [3382 B] Get: 251 http://deb.debian.org/debian buster/main arm64 node-p-locate all 2.0.0-1 [3986 B] Get: 252 http://deb.debian.org/debian buster/main arm64 node-path-exists all 3.0.0-1 [3154 B] Get: 253 http://deb.debian.org/debian buster/main arm64 node-locate-path all 2.0.0-1 [3816 B] Get: 254 http://deb.debian.org/debian buster/main arm64 node-find-up all 2.1.0-1 [3652 B] Get: 255 http://deb.debian.org/debian buster/main arm64 node-get-caller-file all 1.0.2-1 [2814 B] Get: 256 http://deb.debian.org/debian buster/main arm64 node-invert-kv all 1.0.0-1 [2862 B] Get: 257 http://deb.debian.org/debian buster/main arm64 node-lcid all 1.0.0-1 [4232 B] Get: 258 http://deb.debian.org/debian buster/main arm64 node-lodash-compat all 3.10.2-1 [80.2 kB] Get: 259 http://deb.debian.org/debian buster/main arm64 node-mimic-fn all 1.1.0-1 [3070 B] Get: 260 http://deb.debian.org/debian buster/main arm64 node-mem all 1.1.0-1 [4076 B] Get: 261 http://deb.debian.org/debian buster/main arm64 node-os-locale all 2.0.0-1 [3702 B] Get: 262 http://deb.debian.org/debian buster/main arm64 node-pegjs all 0.7.0-2 [28.5 kB] Get: 263 http://deb.debian.org/debian buster/main arm64 node-require-directory all 2.1.1-1 [5364 B] Get: 264 http://deb.debian.org/debian buster/main arm64 node-require-main-filename all 1.0.1-1 [3152 B] Get: 265 http://deb.debian.org/debian buster/main arm64 node-set-blocking all 2.0.0-1 [3806 B] Get: 266 http://deb.debian.org/debian buster/main arm64 node-which-module all 2.0.0-1 [3792 B] Get: 267 http://deb.debian.org/debian buster/main arm64 node-y18n all 3.2.1-2 [4708 B] Get: 268 http://deb.debian.org/debian buster/main arm64 node-yargs-parser all 11.1.1-1+deb10u1 [16.7 kB] Get: 269 http://deb.debian.org/debian buster/main arm64 node-yargs all 10.0.3-2 [57.1 kB] Get: 270 http://deb.debian.org/debian buster/main arm64 node-uglify all 2.8.29-6 [118 kB] Get: 271 http://deb.debian.org/debian buster/main arm64 preview-latex-style all 11.91-2 [201 kB] Get: 272 http://deb.debian.org/debian buster/main arm64 python-babel-localedata all 2.6.0+dfsg.1-1 [4083 kB] Get: 273 http://deb.debian.org/debian buster/main arm64 python-decorator all 4.3.0-1.1 [14.4 kB] Get: 274 http://deb.debian.org/debian buster/main arm64 python2.7-dev arm64 2.7.16-2+deb10u1 [296 kB] Get: 275 http://deb.debian.org/debian buster/main arm64 python2-dev arm64 2.7.16-1 [1216 B] Get: 276 http://deb.debian.org/debian buster/main arm64 python-dev arm64 2.7.16-1 [1192 B] Get: 277 http://deb.debian.org/debian buster/main arm64 python-pkg-resources all 40.8.0-1 [182 kB] Get: 278 http://deb.debian.org/debian buster/main arm64 python-nose all 1.3.7-4 [132 kB] Get: 279 http://deb.debian.org/debian buster/main arm64 python-numpy arm64 1:1.16.2-1 [1975 kB] Get: 280 http://deb.debian.org/debian buster/main arm64 python-parameterized all 0.6.1-2 [13.2 kB] Get: 281 http://deb.debian.org/debian buster/main arm64 python-pyparsing all 2.2.0+dfsg1-2 [89.5 kB] Get: 282 http://deb.debian.org/debian buster/main arm64 python-pydot-ng all 1.0.0-3 [20.6 kB] Get: 283 http://deb.debian.org/debian buster/main arm64 python-scipy arm64 1.1.0-7 [9327 kB] Get: 284 http://deb.debian.org/debian buster/main arm64 python-setuptools all 40.8.0-1 [382 kB] Get: 285 http://deb.debian.org/debian buster/main arm64 python-six all 1.12.0-1 [15.7 kB] Get: 286 http://deb.debian.org/debian buster/main arm64 python3-alabaster all 0.7.8-1 [18.4 kB] Get: 287 http://deb.debian.org/debian buster/main arm64 python3-tz all 2019.1-1 [27.1 kB] Get: 288 http://deb.debian.org/debian buster/main arm64 python3-babel all 2.6.0+dfsg.1-1 [96.7 kB] Get: 289 http://deb.debian.org/debian buster/main arm64 python3-certifi all 2018.8.24-1 [140 kB] Get: 290 http://deb.debian.org/debian buster/main arm64 python3-chardet all 3.0.4-3 [80.5 kB] Get: 291 http://deb.debian.org/debian buster/main arm64 python3.7-dev arm64 3.7.3-2+deb10u2 [509 kB] Get: 292 http://deb.debian.org/debian buster/main arm64 python3-dev arm64 3.7.3-1 [1264 B] Get: 293 http://deb.debian.org/debian buster/main arm64 python3-roman all 2.0.0-3 [8768 B] Get: 294 http://deb.debian.org/debian buster/main arm64 python3-docutils all 0.14+dfsg-4 [378 kB] Get: 295 http://deb.debian.org/debian buster/main arm64 python3-idna all 2.6-1 [34.3 kB] Get: 296 http://deb.debian.org/debian buster/main arm64 python3-imagesize all 1.0.0-1 [4960 B] Get: 297 http://deb.debian.org/debian buster/main arm64 python3-ipykernel all 4.9.0-1 [75.7 kB] Get: 298 http://deb.debian.org/debian buster/main arm64 python3-nose all 1.3.7-4 [132 kB] Get: 299 http://deb.debian.org/debian buster/main arm64 python3-numpy arm64 1:1.16.2-1 [1991 kB] Get: 300 http://deb.debian.org/debian buster/main arm64 python3-pyparsing all 2.2.0+dfsg1-2 [89.6 kB] Get: 301 http://deb.debian.org/debian buster/main arm64 python3-packaging all 19.0-1 [20.5 kB] Get: 302 http://deb.debian.org/debian buster/main arm64 python3-parameterized all 0.6.1-2 [13.3 kB] Get: 303 http://deb.debian.org/debian buster/main arm64 python3-pydot all 1.4.1-1 [22.8 kB] Get: 304 http://deb.debian.org/debian buster/main arm64 python3-urllib3 all 1.24.1-1 [97.1 kB] Get: 305 http://deb.debian.org/debian buster/main arm64 python3-requests all 2.21.0-1 [66.9 kB] Get: 306 http://deb.debian.org/debian buster/main arm64 python3-scipy arm64 1.1.0-7 [9306 kB] Get: 307 http://deb.debian.org/debian buster/main arm64 python3-setuptools all 40.8.0-1 [306 kB] Get: 308 http://deb.debian.org/debian buster/main arm64 sphinx-common all 1.8.4-1 [500 kB] Get: 309 http://deb.debian.org/debian buster/main arm64 python3-sphinx all 1.8.4-1 [481 kB] Get: 310 http://deb.debian.org/debian buster/main arm64 sphinx-rtd-theme-common all 0.4.3+dfsg-1 [1021 kB] Get: 311 http://deb.debian.org/debian buster/main arm64 python3-sphinx-rtd-theme all 0.4.3+dfsg-1 [9696 B] Get: 312 http://deb.debian.org/debian buster/main arm64 rdfind arm64 1.4.1-1 [38.3 kB] Get: 313 http://deb.debian.org/debian buster/main arm64 symlinks arm64 1.4-3+b1 [10.6 kB] Get: 314 http://deb.debian.org/debian buster/main arm64 texlive-fonts-recommended all 2018.20190227-2 [5228 kB] Get: 315 http://deb.debian.org/debian buster/main arm64 texlive-latex-recommended all 2018.20190227-2 [15.2 MB] Get: 316 http://deb.debian.org/debian buster/main arm64 texlive-pictures all 2018.20190227-2 [8201 kB] Get: 317 http://deb.debian.org/debian buster/main arm64 texlive-latex-extra all 2018.20190227-2 [12.3 MB] Fetched 216 MB in 17s (12.8 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libbsd0:arm64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19168 files and directories currently installed.) Preparing to unpack .../00-libbsd0_0.9.1-2_arm64.deb ... Unpacking libbsd0:arm64 (0.9.1-2) ... Selecting previously unselected package bsdmainutils. Preparing to unpack .../01-bsdmainutils_11.1.2+b1_arm64.deb ... Unpacking bsdmainutils (11.1.2+b1) ... Selecting previously unselected package libuchardet0:arm64. Preparing to unpack .../02-libuchardet0_0.0.6-3_arm64.deb ... Unpacking libuchardet0:arm64 (0.0.6-3) ... Selecting previously unselected package groff-base. Preparing to unpack .../03-groff-base_1.22.4-3_arm64.deb ... Unpacking groff-base (1.22.4-3) ... Selecting previously unselected package libpipeline1:arm64. Preparing to unpack .../04-libpipeline1_1.5.1-2_arm64.deb ... Unpacking libpipeline1:arm64 (1.5.1-2) ... Selecting previously unselected package man-db. Preparing to unpack .../05-man-db_2.8.5-2_arm64.deb ... Unpacking man-db (2.8.5-2) ... Selecting previously unselected package libpython2.7-minimal:arm64. Preparing to unpack .../06-libpython2.7-minimal_2.7.16-2+deb10u1_arm64.deb ... Unpacking libpython2.7-minimal:arm64 (2.7.16-2+deb10u1) ... Selecting previously unselected package python2.7-minimal. Preparing to unpack .../07-python2.7-minimal_2.7.16-2+deb10u1_arm64.deb ... Unpacking python2.7-minimal (2.7.16-2+deb10u1) ... Selecting previously unselected package python2-minimal. Preparing to unpack .../08-python2-minimal_2.7.16-1_arm64.deb ... Unpacking python2-minimal (2.7.16-1) ... Selecting previously unselected package python-minimal. Preparing to unpack .../09-python-minimal_2.7.16-1_arm64.deb ... Unpacking python-minimal (2.7.16-1) ... Selecting previously unselected package libssl1.1:arm64. Preparing to unpack .../10-libssl1.1_1.1.1d-0+deb10u3_arm64.deb ... Unpacking libssl1.1:arm64 (1.1.1d-0+deb10u3) ... Selecting previously unselected package mime-support. Preparing to unpack .../11-mime-support_3.62_all.deb ... Unpacking mime-support (3.62) ... Selecting previously unselected package libexpat1:arm64. Preparing to unpack .../12-libexpat1_2.2.6-2+deb10u1_arm64.deb ... Unpacking libexpat1:arm64 (2.2.6-2+deb10u1) ... Selecting previously unselected package readline-common. Preparing to unpack .../13-readline-common_7.0-5_all.deb ... Unpacking readline-common (7.0-5) ... Selecting previously unselected package libreadline7:arm64. Preparing to unpack .../14-libreadline7_7.0-5_arm64.deb ... Unpacking libreadline7:arm64 (7.0-5) ... Selecting previously unselected package libpython2.7-stdlib:arm64. Preparing to unpack .../15-libpython2.7-stdlib_2.7.16-2+deb10u1_arm64.deb ... Unpacking libpython2.7-stdlib:arm64 (2.7.16-2+deb10u1) ... Selecting previously unselected package python2.7. Preparing to unpack .../16-python2.7_2.7.16-2+deb10u1_arm64.deb ... Unpacking python2.7 (2.7.16-2+deb10u1) ... Selecting previously unselected package libpython2-stdlib:arm64. Preparing to unpack .../17-libpython2-stdlib_2.7.16-1_arm64.deb ... Unpacking libpython2-stdlib:arm64 (2.7.16-1) ... Selecting previously unselected package libpython-stdlib:arm64. Preparing to unpack .../18-libpython-stdlib_2.7.16-1_arm64.deb ... Unpacking libpython-stdlib:arm64 (2.7.16-1) ... Setting up libpython2.7-minimal:arm64 (2.7.16-2+deb10u1) ... Setting up python2.7-minimal (2.7.16-2+deb10u1) ... Setting up python2-minimal (2.7.16-1) ... Selecting previously unselected package python2. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20631 files and directories currently installed.) Preparing to unpack .../python2_2.7.16-1_arm64.deb ... Unpacking python2 (2.7.16-1) ... Setting up python-minimal (2.7.16-1) ... Selecting previously unselected package python. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20664 files and directories currently installed.) Preparing to unpack .../python_2.7.16-1_arm64.deb ... Unpacking python (2.7.16-1) ... Selecting previously unselected package fonts-lato. Preparing to unpack .../fonts-lato_2.0-2_all.deb ... Unpacking fonts-lato (2.0-2) ... Selecting previously unselected package poppler-data. Preparing to unpack .../poppler-data_0.4.9-2_all.deb ... Unpacking poppler-data (0.4.9-2) ... Selecting previously unselected package libpython3.7-minimal:arm64. Preparing to unpack .../libpython3.7-minimal_3.7.3-2+deb10u2_arm64.deb ... Unpacking libpython3.7-minimal:arm64 (3.7.3-2+deb10u2) ... Selecting previously unselected package python3.7-minimal. Preparing to unpack .../python3.7-minimal_3.7.3-2+deb10u2_arm64.deb ... Unpacking python3.7-minimal (3.7.3-2+deb10u2) ... Setting up libssl1.1:arm64 (1.1.1d-0+deb10u3) ... Setting up libpython3.7-minimal:arm64 (3.7.3-2+deb10u2) ... Setting up libexpat1:arm64 (2.2.6-2+deb10u1) ... Setting up python3.7-minimal (3.7.3-2+deb10u2) ... Selecting previously unselected package python3-minimal. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 21461 files and directories currently installed.) Preparing to unpack .../python3-minimal_3.7.3-1_arm64.deb ... Unpacking python3-minimal (3.7.3-1) ... Selecting previously unselected package libmpdec2:arm64. Preparing to unpack .../libmpdec2_2.4.2-2_arm64.deb ... Unpacking libmpdec2:arm64 (2.4.2-2) ... Selecting previously unselected package libpython3.7-stdlib:arm64. Preparing to unpack .../libpython3.7-stdlib_3.7.3-2+deb10u2_arm64.deb ... Unpacking libpython3.7-stdlib:arm64 (3.7.3-2+deb10u2) ... Selecting previously unselected package python3.7. Preparing to unpack .../python3.7_3.7.3-2+deb10u2_arm64.deb ... Unpacking python3.7 (3.7.3-2+deb10u2) ... Selecting previously unselected package libpython3-stdlib:arm64. Preparing to unpack .../libpython3-stdlib_3.7.3-1_arm64.deb ... Unpacking libpython3-stdlib:arm64 (3.7.3-1) ... Setting up python3-minimal (3.7.3-1) ... Selecting previously unselected package python3. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 21873 files and directories currently installed.) Preparing to unpack .../000-python3_3.7.3-1_arm64.deb ... Unpacking python3 (3.7.3-1) ... Selecting previously unselected package sgml-base. Preparing to unpack .../001-sgml-base_1.29_all.deb ... Unpacking sgml-base (1.29) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../002-sensible-utils_0.0.12_all.deb ... Unpacking sensible-utils (0.0.12) ... Selecting previously unselected package ucf. Preparing to unpack .../003-ucf_3.0038+nmu1_all.deb ... Moving old data out of the way Unpacking ucf (3.0038+nmu1) ... Selecting previously unselected package tex-common. Preparing to unpack .../004-tex-common_6.11_all.deb ... Unpacking tex-common (6.11) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../005-libmagic-mgc_1%3a5.35-4+deb10u1_arm64.deb ... Unpacking libmagic-mgc (1:5.35-4+deb10u1) ... Selecting previously unselected package libmagic1:arm64. Preparing to unpack .../006-libmagic1_1%3a5.35-4+deb10u1_arm64.deb ... Unpacking libmagic1:arm64 (1:5.35-4+deb10u1) ... Selecting previously unselected package file. Preparing to unpack .../007-file_1%3a5.35-4+deb10u1_arm64.deb ... Unpacking file (1:5.35-4+deb10u1) ... Selecting previously unselected package gettext-base. Preparing to unpack .../008-gettext-base_0.19.8.1-9_arm64.deb ... Unpacking gettext-base (0.19.8.1-9) ... Selecting previously unselected package libsigsegv2:arm64. Preparing to unpack .../009-libsigsegv2_2.12-2_arm64.deb ... Unpacking libsigsegv2:arm64 (2.12-2) ... Selecting previously unselected package m4. Preparing to unpack .../010-m4_1.4.18-2_arm64.deb ... Unpacking m4 (1.4.18-2) ... Selecting previously unselected package autoconf. Preparing to unpack .../011-autoconf_2.69-11_all.deb ... Unpacking autoconf (2.69-11) ... Selecting previously unselected package autotools-dev. Preparing to unpack .../012-autotools-dev_20180224.1_all.deb ... Unpacking autotools-dev (20180224.1) ... Selecting previously unselected package automake. Preparing to unpack .../013-automake_1%3a1.16.1-4_all.deb ... Unpacking automake (1:1.16.1-4) ... Selecting previously unselected package autopoint. Preparing to unpack .../014-autopoint_0.19.8.1-9_all.deb ... Unpacking autopoint (0.19.8.1-9) ... Selecting previously unselected package openssl. Preparing to unpack .../015-openssl_1.1.1d-0+deb10u3_arm64.deb ... Unpacking openssl (1.1.1d-0+deb10u3) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../016-ca-certificates_20190110_all.deb ... Unpacking ca-certificates (20190110) ... Selecting previously unselected package cython. Preparing to unpack .../017-cython_0.29.2-2_arm64.deb ... Unpacking cython (0.29.2-2) ... Selecting previously unselected package cython3. Preparing to unpack .../018-cython3_0.29.2-2_arm64.deb ... Unpacking cython3 (0.29.2-2) ... Selecting previously unselected package libtool. Preparing to unpack .../019-libtool_2.4.6-9_all.deb ... Unpacking libtool (2.4.6-9) ... Selecting previously unselected package dh-autoreconf. Preparing to unpack .../020-dh-autoreconf_19_all.deb ... Unpacking dh-autoreconf (19) ... Selecting previously unselected package libarchive-zip-perl. Preparing to unpack .../021-libarchive-zip-perl_1.64-1_all.deb ... Unpacking libarchive-zip-perl (1.64-1) ... Selecting previously unselected package libfile-stripnondeterminism-perl. Preparing to unpack .../022-libfile-stripnondeterminism-perl_1.1.2-1_all.deb ... Unpacking libfile-stripnondeterminism-perl (1.1.2-1) ... Selecting previously unselected package dh-strip-nondeterminism. Preparing to unpack .../023-dh-strip-nondeterminism_1.1.2-1_all.deb ... Unpacking dh-strip-nondeterminism (1.1.2-1) ... Selecting previously unselected package libelf1:arm64. Preparing to unpack .../024-libelf1_0.176-1.1_arm64.deb ... Unpacking libelf1:arm64 (0.176-1.1) ... Selecting previously unselected package dwz. Preparing to unpack .../025-dwz_0.12-3_arm64.deb ... Unpacking dwz (0.12-3) ... Selecting previously unselected package libglib2.0-0:arm64. Preparing to unpack .../026-libglib2.0-0_2.58.3-2+deb10u2_arm64.deb ... Unpacking libglib2.0-0:arm64 (2.58.3-2+deb10u2) ... Selecting previously unselected package libicu63:arm64. Preparing to unpack .../027-libicu63_63.1-6+deb10u1_arm64.deb ... Unpacking libicu63:arm64 (63.1-6+deb10u1) ... Selecting previously unselected package libxml2:arm64. Preparing to unpack .../028-libxml2_2.9.4+dfsg1-7+b3_arm64.deb ... Unpacking libxml2:arm64 (2.9.4+dfsg1-7+b3) ... Selecting previously unselected package libcroco3:arm64. Preparing to unpack .../029-libcroco3_0.6.12-3_arm64.deb ... Unpacking libcroco3:arm64 (0.6.12-3) ... Selecting previously unselected package libncurses6:arm64. Preparing to unpack .../030-libncurses6_6.1+20181013-2+deb10u2_arm64.deb ... Unpacking libncurses6:arm64 (6.1+20181013-2+deb10u2) ... Selecting previously unselected package gettext. Preparing to unpack .../031-gettext_0.19.8.1-9_arm64.deb ... Unpacking gettext (0.19.8.1-9) ... Selecting previously unselected package intltool-debian. Preparing to unpack .../032-intltool-debian_0.35.0+20060710.5_all.deb ... Unpacking intltool-debian (0.35.0+20060710.5) ... Selecting previously unselected package po-debconf. Preparing to unpack .../033-po-debconf_1.0.21_all.deb ... Unpacking po-debconf (1.0.21) ... Selecting previously unselected package debhelper. Preparing to unpack .../034-debhelper_12.1.1_all.deb ... Unpacking debhelper (12.1.1) ... Selecting previously unselected package python3-lib2to3. Preparing to unpack .../035-python3-lib2to3_3.7.3-1_all.deb ... Unpacking python3-lib2to3 (3.7.3-1) ... Selecting previously unselected package python3-distutils. Preparing to unpack .../036-python3-distutils_3.7.3-1_all.deb ... Unpacking python3-distutils (3.7.3-1) ... Selecting previously unselected package dh-python. Preparing to unpack .../037-dh-python_3.20190308_all.deb ... Unpacking dh-python (3.20190308) ... Selecting previously unselected package xml-core. Preparing to unpack .../038-xml-core_0.18+nmu1_all.deb ... Unpacking xml-core (0.18+nmu1) ... Selecting previously unselected package docutils-common. Preparing to unpack .../039-docutils-common_0.14+dfsg-4_all.deb ... Unpacking docutils-common (0.14+dfsg-4) ... Selecting previously unselected package libpng16-16:arm64. Preparing to unpack .../040-libpng16-16_1.6.36-6_arm64.deb ... Unpacking libpng16-16:arm64 (1.6.36-6) ... Selecting previously unselected package libfreetype6:arm64. Preparing to unpack .../041-libfreetype6_2.9.1-3+deb10u1_arm64.deb ... Unpacking libfreetype6:arm64 (2.9.1-3+deb10u1) ... Selecting previously unselected package fonts-dejavu-core. Preparing to unpack .../042-fonts-dejavu-core_2.37-1_all.deb ... Unpacking fonts-dejavu-core (2.37-1) ... Selecting previously unselected package fontconfig-config. Preparing to unpack .../043-fontconfig-config_2.13.1-2_all.deb ... Unpacking fontconfig-config (2.13.1-2) ... Selecting previously unselected package libfontconfig1:arm64. Preparing to unpack .../044-libfontconfig1_2.13.1-2_arm64.deb ... Unpacking libfontconfig1:arm64 (2.13.1-2) ... Selecting previously unselected package libjpeg62-turbo:arm64. Preparing to unpack .../045-libjpeg62-turbo_1%3a1.5.2-2+b1_arm64.deb ... Unpacking libjpeg62-turbo:arm64 (1:1.5.2-2+b1) ... Selecting previously unselected package libjbig0:arm64. Preparing to unpack .../046-libjbig0_2.1-3.1+b2_arm64.deb ... Unpacking libjbig0:arm64 (2.1-3.1+b2) ... Selecting previously unselected package libwebp6:arm64. Preparing to unpack .../047-libwebp6_0.6.1-2_arm64.deb ... Unpacking libwebp6:arm64 (0.6.1-2) ... Selecting previously unselected package libtiff5:arm64. Preparing to unpack .../048-libtiff5_4.1.0+git191117-2~deb10u1_arm64.deb ... Unpacking libtiff5:arm64 (4.1.0+git191117-2~deb10u1) ... Selecting previously unselected package libxau6:arm64. Preparing to unpack .../049-libxau6_1%3a1.0.8-1+b2_arm64.deb ... Unpacking libxau6:arm64 (1:1.0.8-1+b2) ... Selecting previously unselected package libxdmcp6:arm64. Preparing to unpack .../050-libxdmcp6_1%3a1.1.2-3_arm64.deb ... Unpacking libxdmcp6:arm64 (1:1.1.2-3) ... Selecting previously unselected package libxcb1:arm64. Preparing to unpack .../051-libxcb1_1.13.1-2_arm64.deb ... Unpacking libxcb1:arm64 (1.13.1-2) ... Selecting previously unselected package libx11-data. Preparing to unpack .../052-libx11-data_2%3a1.6.7-1_all.deb ... Unpacking libx11-data (2:1.6.7-1) ... Selecting previously unselected package libx11-6:arm64. Preparing to unpack .../053-libx11-6_2%3a1.6.7-1_arm64.deb ... Unpacking libx11-6:arm64 (2:1.6.7-1) ... Selecting previously unselected package libxpm4:arm64. Preparing to unpack .../054-libxpm4_1%3a3.5.12-1_arm64.deb ... Unpacking libxpm4:arm64 (1:3.5.12-1) ... Selecting previously unselected package libgd3:arm64. Preparing to unpack .../055-libgd3_2.2.5-5.2_arm64.deb ... Unpacking libgd3:arm64 (2.2.5-5.2) ... Selecting previously unselected package libkpathsea6:arm64. Preparing to unpack .../056-libkpathsea6_2018.20181218.49446-1_arm64.deb ... Unpacking libkpathsea6:arm64 (2018.20181218.49446-1) ... Selecting previously unselected package libptexenc1:arm64. Preparing to unpack .../057-libptexenc1_2018.20181218.49446-1_arm64.deb ... Unpacking libptexenc1:arm64 (2018.20181218.49446-1) ... Selecting previously unselected package libsynctex2:arm64. Preparing to unpack .../058-libsynctex2_2018.20181218.49446-1_arm64.deb ... Unpacking libsynctex2:arm64 (2018.20181218.49446-1) ... Selecting previously unselected package libtexlua52:arm64. Preparing to unpack .../059-libtexlua52_2018.20181218.49446-1_arm64.deb ... Unpacking libtexlua52:arm64 (2018.20181218.49446-1) ... Selecting previously unselected package libtexlua53:arm64. Preparing to unpack .../060-libtexlua53_2018.20181218.49446-1_arm64.deb ... Unpacking libtexlua53:arm64 (2018.20181218.49446-1) ... Selecting previously unselected package t1utils. Preparing to unpack .../061-t1utils_1.41-3_arm64.deb ... Unpacking t1utils (1.41-3) ... Selecting previously unselected package libbrotli1:arm64. Preparing to unpack .../062-libbrotli1_1.0.7-2_arm64.deb ... Unpacking libbrotli1:arm64 (1.0.7-2) ... Selecting previously unselected package libpixman-1-0:arm64. Preparing to unpack .../063-libpixman-1-0_0.36.0-1_arm64.deb ... Unpacking libpixman-1-0:arm64 (0.36.0-1) ... Selecting previously unselected package libxcb-render0:arm64. Preparing to unpack .../064-libxcb-render0_1.13.1-2_arm64.deb ... Unpacking libxcb-render0:arm64 (1.13.1-2) ... Selecting previously unselected package libxcb-shm0:arm64. Preparing to unpack .../065-libxcb-shm0_1.13.1-2_arm64.deb ... Unpacking libxcb-shm0:arm64 (1.13.1-2) ... Selecting previously unselected package libxext6:arm64. Preparing to unpack .../066-libxext6_2%3a1.3.3-1+b2_arm64.deb ... Unpacking libxext6:arm64 (2:1.3.3-1+b2) ... Selecting previously unselected package libxrender1:arm64. Preparing to unpack .../067-libxrender1_1%3a0.9.10-1_arm64.deb ... Unpacking libxrender1:arm64 (1:0.9.10-1) ... Selecting previously unselected package libcairo2:arm64. Preparing to unpack .../068-libcairo2_1.16.0-4_arm64.deb ... Unpacking libcairo2:arm64 (1.16.0-4) ... Selecting previously unselected package libgraphite2-3:arm64. Preparing to unpack .../069-libgraphite2-3_1.3.13-7_arm64.deb ... Unpacking libgraphite2-3:arm64 (1.3.13-7) ... Selecting previously unselected package libgs9-common. Preparing to unpack .../070-libgs9-common_9.27~dfsg-2+deb10u3_all.deb ... Unpacking libgs9-common (9.27~dfsg-2+deb10u3) ... Selecting previously unselected package libavahi-common-data:arm64. Preparing to unpack .../071-libavahi-common-data_0.7-4+b1_arm64.deb ... Unpacking libavahi-common-data:arm64 (0.7-4+b1) ... Selecting previously unselected package libavahi-common3:arm64. Preparing to unpack .../072-libavahi-common3_0.7-4+b1_arm64.deb ... Unpacking libavahi-common3:arm64 (0.7-4+b1) ... Selecting previously unselected package libdbus-1-3:arm64. Preparing to unpack .../073-libdbus-1-3_1.12.20-0+deb10u1_arm64.deb ... Unpacking libdbus-1-3:arm64 (1.12.20-0+deb10u1) ... Selecting previously unselected package libavahi-client3:arm64. Preparing to unpack .../074-libavahi-client3_0.7-4+b1_arm64.deb ... Unpacking libavahi-client3:arm64 (0.7-4+b1) ... Selecting previously unselected package libkeyutils1:arm64. Preparing to unpack .../075-libkeyutils1_1.6-6_arm64.deb ... Unpacking libkeyutils1:arm64 (1.6-6) ... Selecting previously unselected package libkrb5support0:arm64. Preparing to unpack .../076-libkrb5support0_1.17-3_arm64.deb ... Unpacking libkrb5support0:arm64 (1.17-3) ... Selecting previously unselected package libk5crypto3:arm64. Preparing to unpack .../077-libk5crypto3_1.17-3_arm64.deb ... Unpacking libk5crypto3:arm64 (1.17-3) ... Selecting previously unselected package libkrb5-3:arm64. Preparing to unpack .../078-libkrb5-3_1.17-3_arm64.deb ... Unpacking libkrb5-3:arm64 (1.17-3) ... Selecting previously unselected package libgssapi-krb5-2:arm64. Preparing to unpack .../079-libgssapi-krb5-2_1.17-3_arm64.deb ... Unpacking libgssapi-krb5-2:arm64 (1.17-3) ... Selecting previously unselected package libcups2:arm64. Preparing to unpack .../080-libcups2_2.2.10-6+deb10u3_arm64.deb ... Unpacking libcups2:arm64 (2.2.10-6+deb10u3) ... Selecting previously unselected package libcupsimage2:arm64. Preparing to unpack .../081-libcupsimage2_2.2.10-6+deb10u3_arm64.deb ... Unpacking libcupsimage2:arm64 (2.2.10-6+deb10u3) ... Selecting previously unselected package libidn11:arm64. Preparing to unpack .../082-libidn11_1.33-2.2_arm64.deb ... Unpacking libidn11:arm64 (1.33-2.2) ... Selecting previously unselected package libijs-0.35:arm64. Preparing to unpack .../083-libijs-0.35_0.35-14_arm64.deb ... Unpacking libijs-0.35:arm64 (0.35-14) ... Selecting previously unselected package libjbig2dec0:arm64. Preparing to unpack .../084-libjbig2dec0_0.16-1_arm64.deb ... Unpacking libjbig2dec0:arm64 (0.16-1) ... Selecting previously unselected package liblcms2-2:arm64. Preparing to unpack .../085-liblcms2-2_2.9-3_arm64.deb ... Unpacking liblcms2-2:arm64 (2.9-3) ... Selecting previously unselected package libopenjp2-7:arm64. Preparing to unpack .../086-libopenjp2-7_2.3.0-2+deb10u1_arm64.deb ... Unpacking libopenjp2-7:arm64 (2.3.0-2+deb10u1) ... Selecting previously unselected package libpaper1:arm64. Preparing to unpack .../087-libpaper1_1.1.28_arm64.deb ... Unpacking libpaper1:arm64 (1.1.28) ... Selecting previously unselected package libgs9:arm64. Preparing to unpack .../088-libgs9_9.27~dfsg-2+deb10u3_arm64.deb ... Unpacking libgs9:arm64 (9.27~dfsg-2+deb10u3) ... Selecting previously unselected package libharfbuzz0b:arm64. Preparing to unpack .../089-libharfbuzz0b_2.3.1-1_arm64.deb ... Unpacking libharfbuzz0b:arm64 (2.3.1-1) ... Selecting previously unselected package libharfbuzz-icu0:arm64. Preparing to unpack .../090-libharfbuzz-icu0_2.3.1-1_arm64.deb ... Unpacking libharfbuzz-icu0:arm64 (2.3.1-1) ... Selecting previously unselected package lsb-base. Preparing to unpack .../091-lsb-base_10.2019051400_all.deb ... Unpacking lsb-base (10.2019051400) ... Selecting previously unselected package x11-common. Preparing to unpack .../092-x11-common_1%3a7.7+19_all.deb ... Unpacking x11-common (1:7.7+19) ... Selecting previously unselected package libice6:arm64. Preparing to unpack .../093-libice6_2%3a1.0.9-2_arm64.deb ... Unpacking libice6:arm64 (2:1.0.9-2) ... Selecting previously unselected package libpotrace0:arm64. Preparing to unpack .../094-libpotrace0_1.15-1_arm64.deb ... Unpacking libpotrace0:arm64 (1.15-1) ... Selecting previously unselected package libsm6:arm64. Preparing to unpack .../095-libsm6_2%3a1.2.3-1_arm64.deb ... Unpacking libsm6:arm64 (2:1.2.3-1) ... Selecting previously unselected package libteckit0:arm64. Preparing to unpack .../096-libteckit0_2.5.8+ds2-5_arm64.deb ... Unpacking libteckit0:arm64 (2.5.8+ds2-5) ... Selecting previously unselected package libwoff1:arm64. Preparing to unpack .../097-libwoff1_1.0.2-1_arm64.deb ... Unpacking libwoff1:arm64 (1.0.2-1) ... Selecting previously unselected package libxt6:arm64. Preparing to unpack .../098-libxt6_1%3a1.1.5-1+b3_arm64.deb ... Unpacking libxt6:arm64 (1:1.1.5-1+b3) ... Selecting previously unselected package libxmu6:arm64. Preparing to unpack .../099-libxmu6_2%3a1.1.2-2+b3_arm64.deb ... Unpacking libxmu6:arm64 (2:1.1.2-2+b3) ... Selecting previously unselected package libxaw7:arm64. Preparing to unpack .../100-libxaw7_2%3a1.0.13-1+b2_arm64.deb ... Unpacking libxaw7:arm64 (2:1.0.13-1+b2) ... Selecting previously unselected package libxi6:arm64. Preparing to unpack .../101-libxi6_2%3a1.7.9-1_arm64.deb ... Unpacking libxi6:arm64 (2:1.7.9-1) ... Selecting previously unselected package libxxhash0:arm64. Preparing to unpack .../102-libxxhash0_0.6.5-2_arm64.deb ... Unpacking libxxhash0:arm64 (0.6.5-2) ... Selecting previously unselected package libzzip-0-13:arm64. Preparing to unpack .../103-libzzip-0-13_0.13.62-3.2_arm64.deb ... Unpacking libzzip-0-13:arm64 (0.13.62-3.2) ... Selecting previously unselected package texlive-binaries. Preparing to unpack .../104-texlive-binaries_2018.20181218.49446-1_arm64.deb ... Unpacking texlive-binaries (2018.20181218.49446-1) ... Selecting previously unselected package ghostscript. Preparing to unpack .../105-ghostscript_9.27~dfsg-2+deb10u3_arm64.deb ... Unpacking ghostscript (9.27~dfsg-2+deb10u3) ... Selecting previously unselected package dvipng. Preparing to unpack .../106-dvipng_1.15-1.1_arm64.deb ... Unpacking dvipng (1.15-1.1) ... Selecting previously unselected package fontconfig. Preparing to unpack .../107-fontconfig_2.13.1-2_arm64.deb ... Unpacking fontconfig (2.13.1-2) ... Selecting previously unselected package fonts-font-awesome. Preparing to unpack .../108-fonts-font-awesome_5.0.10+really4.7.0~dfsg-1_all.deb ... Unpacking fonts-font-awesome (5.0.10+really4.7.0~dfsg-1) ... Selecting previously unselected package fonts-lmodern. Preparing to unpack .../109-fonts-lmodern_2.004.5-6_all.deb ... Unpacking fonts-lmodern (2.004.5-6) ... Selecting previously unselected package fonts-roboto-slab. Preparing to unpack .../110-fonts-roboto-slab_1.100263+20170512-1_all.deb ... Unpacking fonts-roboto-slab (1.100263+20170512-1) ... Selecting previously unselected package libcdt5. Preparing to unpack .../111-libcdt5_2.40.1-6_arm64.deb ... Unpacking libcdt5 (2.40.1-6) ... Selecting previously unselected package libcgraph6. Preparing to unpack .../112-libcgraph6_2.40.1-6_arm64.deb ... Unpacking libcgraph6 (2.40.1-6) ... Selecting previously unselected package libgts-0.7-5:arm64. Preparing to unpack .../113-libgts-0.7-5_0.7.6+darcs121130-4_arm64.deb ... Unpacking libgts-0.7-5:arm64 (0.7.6+darcs121130-4) ... Selecting previously unselected package libltdl7:arm64. Preparing to unpack .../114-libltdl7_2.4.6-9_arm64.deb ... Unpacking libltdl7:arm64 (2.4.6-9) ... Selecting previously unselected package libfribidi0:arm64. Preparing to unpack .../115-libfribidi0_1.0.5-3.1+deb10u1_arm64.deb ... Unpacking libfribidi0:arm64 (1.0.5-3.1+deb10u1) ... Selecting previously unselected package libthai-data. Preparing to unpack .../116-libthai-data_0.1.28-2_all.deb ... Unpacking libthai-data (0.1.28-2) ... Selecting previously unselected package libdatrie1:arm64. Preparing to unpack .../117-libdatrie1_0.2.12-2_arm64.deb ... Unpacking libdatrie1:arm64 (0.2.12-2) ... Selecting previously unselected package libthai0:arm64. Preparing to unpack .../118-libthai0_0.1.28-2_arm64.deb ... Unpacking libthai0:arm64 (0.1.28-2) ... Selecting previously unselected package libpango-1.0-0:arm64. Preparing to unpack .../119-libpango-1.0-0_1.42.4-8~deb10u1_arm64.deb ... Unpacking libpango-1.0-0:arm64 (1.42.4-8~deb10u1) ... Selecting previously unselected package libpangoft2-1.0-0:arm64. Preparing to unpack .../120-libpangoft2-1.0-0_1.42.4-8~deb10u1_arm64.deb ... Unpacking libpangoft2-1.0-0:arm64 (1.42.4-8~deb10u1) ... Selecting previously unselected package libpangocairo-1.0-0:arm64. Preparing to unpack .../121-libpangocairo-1.0-0_1.42.4-8~deb10u1_arm64.deb ... Unpacking libpangocairo-1.0-0:arm64 (1.42.4-8~deb10u1) ... Selecting previously unselected package libpathplan4. Preparing to unpack .../122-libpathplan4_2.40.1-6_arm64.deb ... Unpacking libpathplan4 (2.40.1-6) ... Selecting previously unselected package libxdot4. Preparing to unpack .../123-libxdot4_2.40.1-6_arm64.deb ... Unpacking libxdot4 (2.40.1-6) ... Selecting previously unselected package libgvc6. Preparing to unpack .../124-libgvc6_2.40.1-6_arm64.deb ... Unpacking libgvc6 (2.40.1-6) ... Selecting previously unselected package libgvpr2. Preparing to unpack .../125-libgvpr2_2.40.1-6_arm64.deb ... Unpacking libgvpr2 (2.40.1-6) ... Selecting previously unselected package liblab-gamut1. Preparing to unpack .../126-liblab-gamut1_2.40.1-6_arm64.deb ... Unpacking liblab-gamut1 (2.40.1-6) ... Selecting previously unselected package graphviz. Preparing to unpack .../127-graphviz_2.40.1-6_arm64.deb ... Unpacking graphviz (2.40.1-6) ... Selecting previously unselected package python3-entrypoints. Preparing to unpack .../128-python3-entrypoints_0.3-1_all.deb ... Unpacking python3-entrypoints (0.3-1) ... Selecting previously unselected package python3-decorator. Preparing to unpack .../129-python3-decorator_4.3.0-1.1_all.deb ... Unpacking python3-decorator (4.3.0-1.1) ... Selecting previously unselected package python3-ptyprocess. Preparing to unpack .../130-python3-ptyprocess_0.6.0-1_all.deb ... Unpacking python3-ptyprocess (0.6.0-1) ... Selecting previously unselected package python3-pexpect. Preparing to unpack .../131-python3-pexpect_4.6.0-1_all.deb ... Unpacking python3-pexpect (4.6.0-1) ... Selecting previously unselected package python3-pickleshare. Preparing to unpack .../132-python3-pickleshare_0.7.5-1_all.deb ... Unpacking python3-pickleshare (0.7.5-1) ... Selecting previously unselected package python3-pkg-resources. Preparing to unpack .../133-python3-pkg-resources_40.8.0-1_all.deb ... Unpacking python3-pkg-resources (40.8.0-1) ... Selecting previously unselected package python3-six. Preparing to unpack .../134-python3-six_1.12.0-1_all.deb ... Unpacking python3-six (1.12.0-1) ... Selecting previously unselected package python3-wcwidth. Preparing to unpack .../135-python3-wcwidth_0.1.7+dfsg1-3_all.deb ... Unpacking python3-wcwidth (0.1.7+dfsg1-3) ... Selecting previously unselected package python3-prompt-toolkit. Preparing to unpack .../136-python3-prompt-toolkit_1.0.15-1_all.deb ... Unpacking python3-prompt-toolkit (1.0.15-1) ... Selecting previously unselected package python3-pygments. Preparing to unpack .../137-python3-pygments_2.3.1+dfsg-1_all.deb ... Unpacking python3-pygments (2.3.1+dfsg-1) ... Selecting previously unselected package python3-simplegeneric. Preparing to unpack .../138-python3-simplegeneric_0.8.1-2_all.deb ... Unpacking python3-simplegeneric (0.8.1-2) ... Selecting previously unselected package python3-ipython-genutils. Preparing to unpack .../139-python3-ipython-genutils_0.2.0-1_all.deb ... Unpacking python3-ipython-genutils (0.2.0-1) ... Selecting previously unselected package python3-traitlets. Preparing to unpack .../140-python3-traitlets_4.3.2-1_all.deb ... Unpacking python3-traitlets (4.3.2-1) ... Selecting previously unselected package python3-ipython. Preparing to unpack .../141-python3-ipython_5.8.0-1_all.deb ... Unpacking python3-ipython (5.8.0-1) ... Selecting previously unselected package python3-dateutil. Preparing to unpack .../142-python3-dateutil_2.7.3-3_all.deb ... Unpacking python3-dateutil (2.7.3-3) ... Selecting previously unselected package python3-jupyter-core. Preparing to unpack .../143-python3-jupyter-core_4.4.0-2_all.deb ... Unpacking python3-jupyter-core (4.4.0-2) ... Selecting previously unselected package python3-tornado. Preparing to unpack .../144-python3-tornado_5.1.1-4_arm64.deb ... Unpacking python3-tornado (5.1.1-4) ... Selecting previously unselected package libnorm1:arm64. Preparing to unpack .../145-libnorm1_1.5.8+dfsg2-1_arm64.deb ... Unpacking libnorm1:arm64 (1.5.8+dfsg2-1) ... Selecting previously unselected package libpgm-5.2-0:arm64. Preparing to unpack .../146-libpgm-5.2-0_5.2.122~dfsg-3_arm64.deb ... Unpacking libpgm-5.2-0:arm64 (5.2.122~dfsg-3) ... Selecting previously unselected package libsodium23:arm64. Preparing to unpack .../147-libsodium23_1.0.17-1_arm64.deb ... Unpacking libsodium23:arm64 (1.0.17-1) ... Selecting previously unselected package libzmq5:arm64. Preparing to unpack .../148-libzmq5_4.3.1-4+deb10u1_arm64.deb ... Unpacking libzmq5:arm64 (4.3.1-4+deb10u1) ... Selecting previously unselected package python3-zmq. Preparing to unpack .../149-python3-zmq_17.1.2-2_arm64.deb ... Unpacking python3-zmq (17.1.2-2) ... Selecting previously unselected package python3-jupyter-client. Preparing to unpack .../150-python3-jupyter-client_5.2.3-1_all.deb ... Unpacking python3-jupyter-client (5.2.3-1) ... Selecting previously unselected package python3-testpath. Preparing to unpack .../151-python3-testpath_0.4.2+dfsg-1_all.deb ... Unpacking python3-testpath (0.4.2+dfsg-1) ... Selecting previously unselected package python3-webencodings. Preparing to unpack .../152-python3-webencodings_0.5.1-1_all.deb ... Unpacking python3-webencodings (0.5.1-1) ... Selecting previously unselected package python3-html5lib. Preparing to unpack .../153-python3-html5lib_1.0.1-1_all.deb ... Unpacking python3-html5lib (1.0.1-1) ... Selecting previously unselected package python3-bleach. Preparing to unpack .../154-python3-bleach_3.1.2-0+deb10u1_all.deb ... Unpacking python3-bleach (3.1.2-0+deb10u1) ... Selecting previously unselected package python3-defusedxml. Preparing to unpack .../155-python3-defusedxml_0.5.0-2_all.deb ... Unpacking python3-defusedxml (0.5.0-2) ... Selecting previously unselected package python3-markupsafe. Preparing to unpack .../156-python3-markupsafe_1.1.0-1_arm64.deb ... Unpacking python3-markupsafe (1.1.0-1) ... Selecting previously unselected package python3-jinja2. Preparing to unpack .../157-python3-jinja2_2.10-2_all.deb ... Unpacking python3-jinja2 (2.10-2) ... Selecting previously unselected package python3-mistune. Preparing to unpack .../158-python3-mistune_0.8.4-1_all.deb ... Unpacking python3-mistune (0.8.4-1) ... Selecting previously unselected package python3-jsonschema. Preparing to unpack .../159-python3-jsonschema_2.6.0-4_all.deb ... Unpacking python3-jsonschema (2.6.0-4) ... Selecting previously unselected package python3-nbformat. Preparing to unpack .../160-python3-nbformat_4.4.0-1_all.deb ... Unpacking python3-nbformat (4.4.0-1) ... Selecting previously unselected package python3-pandocfilters. Preparing to unpack .../161-python3-pandocfilters_1.4.2-1_all.deb ... Unpacking python3-pandocfilters (1.4.2-1) ... Selecting previously unselected package python3-nbconvert. Preparing to unpack .../162-python3-nbconvert_5.4-2_all.deb ... Unpacking python3-nbconvert (5.4-2) ... Selecting previously unselected package jupyter-nbconvert. Preparing to unpack .../163-jupyter-nbconvert_5.4-2_all.deb ... Unpacking jupyter-nbconvert (5.4-2) ... Selecting previously unselected package libpaper-utils. Preparing to unpack .../164-libpaper-utils_1.1.28_arm64.deb ... Unpacking libpaper-utils (1.1.28) ... Selecting previously unselected package xdg-utils. Preparing to unpack .../165-xdg-utils_1.1.3-1+deb10u1_all.deb ... Unpacking xdg-utils (1.1.3-1+deb10u1) ... Selecting previously unselected package texlive-base. Preparing to unpack .../166-texlive-base_2018.20190227-2_all.deb ... Unpacking texlive-base (2018.20190227-2) ... Selecting previously unselected package texlive-latex-base. Preparing to unpack .../167-texlive-latex-base_2018.20190227-2_all.deb ... Unpacking texlive-latex-base (2018.20190227-2) ... Selecting previously unselected package latexmk. Preparing to unpack .../168-latexmk_1%3a4.61-0.1_all.deb ... Unpacking latexmk (1:4.61-0.1) ... Selecting previously unselected package libgfortran5:arm64. Preparing to unpack .../169-libgfortran5_8.3.0-6_arm64.deb ... Unpacking libgfortran5:arm64 (8.3.0-6) ... Selecting previously unselected package libblas3:arm64. Preparing to unpack .../170-libblas3_3.8.0-2_arm64.deb ... Unpacking libblas3:arm64 (3.8.0-2) ... Selecting previously unselected package libblas-dev:arm64. Preparing to unpack .../171-libblas-dev_3.8.0-2_arm64.deb ... Unpacking libblas-dev:arm64 (3.8.0-2) ... Selecting previously unselected package libc-ares2:arm64. Preparing to unpack .../172-libc-ares2_1.14.0-1_arm64.deb ... Unpacking libc-ares2:arm64 (1.14.0-1) ... Selecting previously unselected package libexpat1-dev:arm64. Preparing to unpack .../173-libexpat1-dev_2.2.6-2+deb10u1_arm64.deb ... Unpacking libexpat1-dev:arm64 (2.2.6-2+deb10u1) ... Selecting previously unselected package libjs-d3. Preparing to unpack .../174-libjs-d3_3.5.17-2_all.deb ... Unpacking libjs-d3 (3.5.17-2) ... Selecting previously unselected package libjs-jquery. Preparing to unpack .../175-libjs-jquery_3.3.1~dfsg-3_all.deb ... Unpacking libjs-jquery (3.3.1~dfsg-3) ... Selecting previously unselected package libjs-modernizr. Preparing to unpack .../176-libjs-modernizr_2.6.2+ds1-3_all.deb ... Unpacking libjs-modernizr (2.6.2+ds1-3) ... Selecting previously unselected package libjs-underscore. Preparing to unpack .../177-libjs-underscore_1.9.1~dfsg-1_all.deb ... Unpacking libjs-underscore (1.9.1~dfsg-1) ... Selecting previously unselected package libjs-sphinxdoc. Preparing to unpack .../178-libjs-sphinxdoc_1.8.4-1_all.deb ... Unpacking libjs-sphinxdoc (1.8.4-1) ... Selecting previously unselected package liblapack3:arm64. Preparing to unpack .../179-liblapack3_3.8.0-2_arm64.deb ... Unpacking liblapack3:arm64 (3.8.0-2) ... Selecting previously unselected package libuv1:arm64. Preparing to unpack .../180-libuv1_1.24.1-1_arm64.deb ... Unpacking libuv1:arm64 (1.24.1-1) ... Selecting previously unselected package libnode64:arm64. Preparing to unpack .../181-libnode64_10.21.0~dfsg-1~deb10u1_arm64.deb ... Unpacking libnode64:arm64 (10.21.0~dfsg-1~deb10u1) ... Selecting previously unselected package libpython2.7:arm64. Preparing to unpack .../182-libpython2.7_2.7.16-2+deb10u1_arm64.deb ... Unpacking libpython2.7:arm64 (2.7.16-2+deb10u1) ... Selecting previously unselected package libpython2.7-dev:arm64. Preparing to unpack .../183-libpython2.7-dev_2.7.16-2+deb10u1_arm64.deb ... Unpacking libpython2.7-dev:arm64 (2.7.16-2+deb10u1) ... Selecting previously unselected package libpython2-dev:arm64. Preparing to unpack .../184-libpython2-dev_2.7.16-1_arm64.deb ... Unpacking libpython2-dev:arm64 (2.7.16-1) ... Selecting previously unselected package libpython-dev:arm64. Preparing to unpack .../185-libpython-dev_2.7.16-1_arm64.deb ... Unpacking libpython-dev:arm64 (2.7.16-1) ... Selecting previously unselected package libpython3.7:arm64. Preparing to unpack .../186-libpython3.7_3.7.3-2+deb10u2_arm64.deb ... Unpacking libpython3.7:arm64 (3.7.3-2+deb10u2) ... Selecting previously unselected package libpython3.7-dev:arm64. Preparing to unpack .../187-libpython3.7-dev_3.7.3-2+deb10u2_arm64.deb ... Unpacking libpython3.7-dev:arm64 (3.7.3-2+deb10u2) ... Selecting previously unselected package libpython3-dev:arm64. Preparing to unpack .../188-libpython3-dev_3.7.3-1_arm64.deb ... Unpacking libpython3-dev:arm64 (3.7.3-1) ... Selecting previously unselected package nodejs. Preparing to unpack .../189-nodejs_10.21.0~dfsg-1~deb10u1_arm64.deb ... Unpacking nodejs (10.21.0~dfsg-1~deb10u1) ... Selecting previously unselected package node-ansi-regex. Preparing to unpack .../190-node-ansi-regex_3.0.0-1_all.deb ... Unpacking node-ansi-regex (3.0.0-1) ... Selecting previously unselected package node-color-name. Preparing to unpack .../191-node-color-name_1.1.3-1_all.deb ... Unpacking node-color-name (1.1.3-1) ... Selecting previously unselected package node-color-convert. Preparing to unpack .../192-node-color-convert_1.9.0-3_all.deb ... Unpacking node-color-convert (1.9.0-3) ... Selecting previously unselected package node-ansi-styles. Preparing to unpack .../193-node-ansi-styles_3.2.1-1_all.deb ... Unpacking node-ansi-styles (3.2.1-1) ... Selecting previously unselected package node-pend. Preparing to unpack .../194-node-pend_1.2.0-1_all.deb ... Unpacking node-pend (1.2.0-1) ... Selecting previously unselected package node-browserify-lite. Preparing to unpack .../195-node-browserify-lite_0.5.0-7_all.deb ... Unpacking node-browserify-lite (0.5.0-7) ... Selecting previously unselected package node-camelcase. Preparing to unpack .../196-node-camelcase_5.0.0-1_all.deb ... Unpacking node-camelcase (5.0.0-1) ... Selecting previously unselected package node-clone. Preparing to unpack .../197-node-clone_2.1.2-1_all.deb ... Unpacking node-clone (2.1.2-1) ... Selecting previously unselected package node-defaults. Preparing to unpack .../198-node-defaults_1.0.3-1_all.deb ... Unpacking node-defaults (1.0.3-1) ... Selecting previously unselected package node-wcwidth.js. Preparing to unpack .../199-node-wcwidth.js_1.0.0-1_all.deb ... Unpacking node-wcwidth.js (1.0.0-1) ... Selecting previously unselected package node-strip-ansi. Preparing to unpack .../200-node-strip-ansi_4.0.0-1_all.deb ... Unpacking node-strip-ansi (4.0.0-1) ... Selecting previously unselected package node-string-width. Preparing to unpack .../201-node-string-width_2.1.1-1_all.deb ... Unpacking node-string-width (2.1.1-1) ... Selecting previously unselected package node-wrap-ansi. Preparing to unpack .../202-node-wrap-ansi_4.0.0-1_all.deb ... Unpacking node-wrap-ansi (4.0.0-1) ... Selecting previously unselected package node-cliui. Preparing to unpack .../203-node-cliui_4.1.0-1_all.deb ... Unpacking node-cliui (4.1.0-1) ... Selecting previously unselected package node-yallist. Preparing to unpack .../204-node-yallist_3.0.3-1_all.deb ... Unpacking node-yallist (3.0.3-1) ... Selecting previously unselected package node-lru-cache. Preparing to unpack .../205-node-lru-cache_5.1.1-4_all.deb ... Unpacking node-lru-cache (5.1.1-4) ... Selecting previously unselected package node-isexe. Preparing to unpack .../206-node-isexe_2.0.0-4_all.deb ... Unpacking node-isexe (2.0.0-4) ... Selecting previously unselected package node-which. Preparing to unpack .../207-node-which_1.3.0-2_all.deb ... Unpacking node-which (1.3.0-2) ... Selecting previously unselected package node-shebang-regex. Preparing to unpack .../208-node-shebang-regex_2.0.0-1_all.deb ... Unpacking node-shebang-regex (2.0.0-1) ... Selecting previously unselected package node-shebang-command. Preparing to unpack .../209-node-shebang-command_1.2.0-1_all.deb ... Unpacking node-shebang-command (1.2.0-1) ... Selecting previously unselected package node-cross-spawn. Preparing to unpack .../210-node-cross-spawn_5.1.0-2_all.deb ... Unpacking node-cross-spawn (5.1.0-2) ... Selecting previously unselected package node-decamelize. Preparing to unpack .../211-node-decamelize_1.2.0-1_all.deb ... Unpacking node-decamelize (1.2.0-1) ... Selecting previously unselected package node-get-stream. Preparing to unpack .../212-node-get-stream_3.0.0-1_all.deb ... Unpacking node-get-stream (3.0.0-1) ... Selecting previously unselected package node-is-stream. Preparing to unpack .../213-node-is-stream_1.1.0-1_all.deb ... Unpacking node-is-stream (1.1.0-1) ... Selecting previously unselected package node-npm-run-path. Preparing to unpack .../214-node-npm-run-path_2.0.2-2_all.deb ... Unpacking node-npm-run-path (2.0.2-2) ... Selecting previously unselected package node-p-finally. Preparing to unpack .../215-node-p-finally_1.0.0-2_all.deb ... Unpacking node-p-finally (1.0.0-2) ... Selecting previously unselected package node-signal-exit. Preparing to unpack .../216-node-signal-exit_3.0.2-1_all.deb ... Unpacking node-signal-exit (3.0.2-1) ... Selecting previously unselected package node-strip-eof. Preparing to unpack .../217-node-strip-eof_1.0.0-2_all.deb ... Unpacking node-strip-eof (1.0.0-2) ... Selecting previously unselected package node-execa. Preparing to unpack .../218-node-execa_0.10.0+dfsg-1_all.deb ... Unpacking node-execa (0.10.0+dfsg-1) ... Selecting previously unselected package node-p-limit. Preparing to unpack .../219-node-p-limit_1.1.0-1_all.deb ... Unpacking node-p-limit (1.1.0-1) ... Selecting previously unselected package node-p-locate. Preparing to unpack .../220-node-p-locate_2.0.0-1_all.deb ... Unpacking node-p-locate (2.0.0-1) ... Selecting previously unselected package node-path-exists. Preparing to unpack .../221-node-path-exists_3.0.0-1_all.deb ... Unpacking node-path-exists (3.0.0-1) ... Selecting previously unselected package node-locate-path. Preparing to unpack .../222-node-locate-path_2.0.0-1_all.deb ... Unpacking node-locate-path (2.0.0-1) ... Selecting previously unselected package node-find-up. Preparing to unpack .../223-node-find-up_2.1.0-1_all.deb ... Unpacking node-find-up (2.1.0-1) ... Selecting previously unselected package node-get-caller-file. Preparing to unpack .../224-node-get-caller-file_1.0.2-1_all.deb ... Unpacking node-get-caller-file (1.0.2-1) ... Selecting previously unselected package node-invert-kv. Preparing to unpack .../225-node-invert-kv_1.0.0-1_all.deb ... Unpacking node-invert-kv (1.0.0-1) ... Selecting previously unselected package node-lcid. Preparing to unpack .../226-node-lcid_1.0.0-1_all.deb ... Unpacking node-lcid (1.0.0-1) ... Selecting previously unselected package node-lodash-compat. Preparing to unpack .../227-node-lodash-compat_3.10.2-1_all.deb ... Unpacking node-lodash-compat (3.10.2-1) ... Selecting previously unselected package node-mimic-fn. Preparing to unpack .../228-node-mimic-fn_1.1.0-1_all.deb ... Unpacking node-mimic-fn (1.1.0-1) ... Selecting previously unselected package node-mem. Preparing to unpack .../229-node-mem_1.1.0-1_all.deb ... Unpacking node-mem (1.1.0-1) ... Selecting previously unselected package node-os-locale. Preparing to unpack .../230-node-os-locale_2.0.0-1_all.deb ... Unpacking node-os-locale (2.0.0-1) ... Selecting previously unselected package node-pegjs. Preparing to unpack .../231-node-pegjs_0.7.0-2_all.deb ... Unpacking node-pegjs (0.7.0-2) ... Selecting previously unselected package node-require-directory. Preparing to unpack .../232-node-require-directory_2.1.1-1_all.deb ... Unpacking node-require-directory (2.1.1-1) ... Selecting previously unselected package node-require-main-filename. Preparing to unpack .../233-node-require-main-filename_1.0.1-1_all.deb ... Unpacking node-require-main-filename (1.0.1-1) ... Selecting previously unselected package node-set-blocking. Preparing to unpack .../234-node-set-blocking_2.0.0-1_all.deb ... Unpacking node-set-blocking (2.0.0-1) ... Selecting previously unselected package node-which-module. Preparing to unpack .../235-node-which-module_2.0.0-1_all.deb ... Unpacking node-which-module (2.0.0-1) ... Selecting previously unselected package node-y18n. Preparing to unpack .../236-node-y18n_3.2.1-2_all.deb ... Unpacking node-y18n (3.2.1-2) ... Selecting previously unselected package node-yargs-parser. Preparing to unpack .../237-node-yargs-parser_11.1.1-1+deb10u1_all.deb ... Unpacking node-yargs-parser (11.1.1-1+deb10u1) ... Selecting previously unselected package node-yargs. Preparing to unpack .../238-node-yargs_10.0.3-2_all.deb ... Unpacking node-yargs (10.0.3-2) ... Selecting previously unselected package node-uglify. Preparing to unpack .../239-node-uglify_2.8.29-6_all.deb ... Unpacking node-uglify (2.8.29-6) ... Selecting previously unselected package preview-latex-style. Preparing to unpack .../240-preview-latex-style_11.91-2_all.deb ... Unpacking preview-latex-style (11.91-2) ... Selecting previously unselected package python-babel-localedata. Preparing to unpack .../241-python-babel-localedata_2.6.0+dfsg.1-1_all.deb ... Unpacking python-babel-localedata (2.6.0+dfsg.1-1) ... Selecting previously unselected package python-decorator. Preparing to unpack .../242-python-decorator_4.3.0-1.1_all.deb ... Unpacking python-decorator (4.3.0-1.1) ... Selecting previously unselected package python2.7-dev. Preparing to unpack .../243-python2.7-dev_2.7.16-2+deb10u1_arm64.deb ... Unpacking python2.7-dev (2.7.16-2+deb10u1) ... Selecting previously unselected package python2-dev. Preparing to unpack .../244-python2-dev_2.7.16-1_arm64.deb ... Unpacking python2-dev (2.7.16-1) ... Selecting previously unselected package python-dev. Preparing to unpack .../245-python-dev_2.7.16-1_arm64.deb ... Unpacking python-dev (2.7.16-1) ... Selecting previously unselected package python-pkg-resources. Preparing to unpack .../246-python-pkg-resources_40.8.0-1_all.deb ... Unpacking python-pkg-resources (40.8.0-1) ... Selecting previously unselected package python-nose. Preparing to unpack .../247-python-nose_1.3.7-4_all.deb ... Unpacking python-nose (1.3.7-4) ... Selecting previously unselected package python-numpy. Preparing to unpack .../248-python-numpy_1%3a1.16.2-1_arm64.deb ... Unpacking python-numpy (1:1.16.2-1) ... Selecting previously unselected package python-parameterized. Preparing to unpack .../249-python-parameterized_0.6.1-2_all.deb ... Unpacking python-parameterized (0.6.1-2) ... Selecting previously unselected package python-pyparsing. Preparing to unpack .../250-python-pyparsing_2.2.0+dfsg1-2_all.deb ... Unpacking python-pyparsing (2.2.0+dfsg1-2) ... Selecting previously unselected package python-pydot-ng. Preparing to unpack .../251-python-pydot-ng_1.0.0-3_all.deb ... Unpacking python-pydot-ng (1.0.0-3) ... Selecting previously unselected package python-scipy. Preparing to unpack .../252-python-scipy_1.1.0-7_arm64.deb ... Unpacking python-scipy (1.1.0-7) ... Selecting previously unselected package python-setuptools. Preparing to unpack .../253-python-setuptools_40.8.0-1_all.deb ... Unpacking python-setuptools (40.8.0-1) ... Selecting previously unselected package python-six. Preparing to unpack .../254-python-six_1.12.0-1_all.deb ... Unpacking python-six (1.12.0-1) ... Selecting previously unselected package python3-alabaster. Preparing to unpack .../255-python3-alabaster_0.7.8-1_all.deb ... Unpacking python3-alabaster (0.7.8-1) ... Selecting previously unselected package python3-tz. Preparing to unpack .../256-python3-tz_2019.1-1_all.deb ... Unpacking python3-tz (2019.1-1) ... Selecting previously unselected package python3-babel. Preparing to unpack .../257-python3-babel_2.6.0+dfsg.1-1_all.deb ... Unpacking python3-babel (2.6.0+dfsg.1-1) ... Selecting previously unselected package python3-certifi. Preparing to unpack .../258-python3-certifi_2018.8.24-1_all.deb ... Unpacking python3-certifi (2018.8.24-1) ... Selecting previously unselected package python3-chardet. Preparing to unpack .../259-python3-chardet_3.0.4-3_all.deb ... Unpacking python3-chardet (3.0.4-3) ... Selecting previously unselected package python3.7-dev. Preparing to unpack .../260-python3.7-dev_3.7.3-2+deb10u2_arm64.deb ... Unpacking python3.7-dev (3.7.3-2+deb10u2) ... Selecting previously unselected package python3-dev. Preparing to unpack .../261-python3-dev_3.7.3-1_arm64.deb ... Unpacking python3-dev (3.7.3-1) ... Selecting previously unselected package python3-roman. Preparing to unpack .../262-python3-roman_2.0.0-3_all.deb ... Unpacking python3-roman (2.0.0-3) ... Selecting previously unselected package python3-docutils. Preparing to unpack .../263-python3-docutils_0.14+dfsg-4_all.deb ... Unpacking python3-docutils (0.14+dfsg-4) ... Selecting previously unselected package python3-idna. Preparing to unpack .../264-python3-idna_2.6-1_all.deb ... Unpacking python3-idna (2.6-1) ... Selecting previously unselected package python3-imagesize. Preparing to unpack .../265-python3-imagesize_1.0.0-1_all.deb ... Unpacking python3-imagesize (1.0.0-1) ... Selecting previously unselected package python3-ipykernel. Preparing to unpack .../266-python3-ipykernel_4.9.0-1_all.deb ... Unpacking python3-ipykernel (4.9.0-1) ... Selecting previously unselected package python3-nose. Preparing to unpack .../267-python3-nose_1.3.7-4_all.deb ... Unpacking python3-nose (1.3.7-4) ... Selecting previously unselected package python3-numpy. Preparing to unpack .../268-python3-numpy_1%3a1.16.2-1_arm64.deb ... Unpacking python3-numpy (1:1.16.2-1) ... Selecting previously unselected package python3-pyparsing. Preparing to unpack .../269-python3-pyparsing_2.2.0+dfsg1-2_all.deb ... Unpacking python3-pyparsing (2.2.0+dfsg1-2) ... Selecting previously unselected package python3-packaging. Preparing to unpack .../270-python3-packaging_19.0-1_all.deb ... Unpacking python3-packaging (19.0-1) ... Selecting previously unselected package python3-parameterized. Preparing to unpack .../271-python3-parameterized_0.6.1-2_all.deb ... Unpacking python3-parameterized (0.6.1-2) ... Selecting previously unselected package python3-pydot. Preparing to unpack .../272-python3-pydot_1.4.1-1_all.deb ... Unpacking python3-pydot (1.4.1-1) ... Selecting previously unselected package python3-urllib3. Preparing to unpack .../273-python3-urllib3_1.24.1-1_all.deb ... Unpacking python3-urllib3 (1.24.1-1) ... Selecting previously unselected package python3-requests. Preparing to unpack .../274-python3-requests_2.21.0-1_all.deb ... Unpacking python3-requests (2.21.0-1) ... Selecting previously unselected package python3-scipy. Preparing to unpack .../275-python3-scipy_1.1.0-7_arm64.deb ... Unpacking python3-scipy (1.1.0-7) ... Selecting previously unselected package python3-setuptools. Preparing to unpack .../276-python3-setuptools_40.8.0-1_all.deb ... Unpacking python3-setuptools (40.8.0-1) ... Selecting previously unselected package sphinx-common. Preparing to unpack .../277-sphinx-common_1.8.4-1_all.deb ... Unpacking sphinx-common (1.8.4-1) ... Selecting previously unselected package python3-sphinx. Preparing to unpack .../278-python3-sphinx_1.8.4-1_all.deb ... Unpacking python3-sphinx (1.8.4-1) ... Selecting previously unselected package sphinx-rtd-theme-common. Preparing to unpack .../279-sphinx-rtd-theme-common_0.4.3+dfsg-1_all.deb ... Unpacking sphinx-rtd-theme-common (0.4.3+dfsg-1) ... Selecting previously unselected package python3-sphinx-rtd-theme. Preparing to unpack .../280-python3-sphinx-rtd-theme_0.4.3+dfsg-1_all.deb ... Unpacking python3-sphinx-rtd-theme (0.4.3+dfsg-1) ... Selecting previously unselected package rdfind. Preparing to unpack .../281-rdfind_1.4.1-1_arm64.deb ... Unpacking rdfind (1.4.1-1) ... Selecting previously unselected package symlinks. Preparing to unpack .../282-symlinks_1.4-3+b1_arm64.deb ... Unpacking symlinks (1.4-3+b1) ... Selecting previously unselected package texlive-fonts-recommended. Preparing to unpack .../283-texlive-fonts-recommended_2018.20190227-2_all.deb ... Unpacking texlive-fonts-recommended (2018.20190227-2) ... Selecting previously unselected package texlive-latex-recommended. Preparing to unpack .../284-texlive-latex-recommended_2018.20190227-2_all.deb ... Unpacking texlive-latex-recommended (2018.20190227-2) ... Selecting previously unselected package texlive-pictures. Preparing to unpack .../285-texlive-pictures_2018.20190227-2_all.deb ... Unpacking texlive-pictures (2018.20190227-2) ... Selecting previously unselected package texlive-latex-extra. Preparing to unpack .../286-texlive-latex-extra_2018.20190227-2_all.deb ... Unpacking texlive-latex-extra (2018.20190227-2) ... Setting up libgs9-common (9.27~dfsg-2+deb10u3) ... Setting up libpipeline1:arm64 (1.5.1-2) ... Setting up libxdot4 (2.40.1-6) ... Setting up libgraphite2-3:arm64 (1.3.13-7) ... Setting up liblcms2-2:arm64 (2.9-3) ... Setting up libpixman-1-0:arm64 (0.36.0-1) ... Setting up symlinks (1.4-3+b1) ... Setting up lsb-base (10.2019051400) ... Setting up libxau6:arm64 (1:1.0.8-1+b2) ... Setting up libkeyutils1:arm64 (1.6-6) ... Setting up fonts-lato (2.0-2) ... Setting up libsodium23:arm64 (1.0.17-1) ... Setting up mime-support (3.62) ... Setting up libtexlua52:arm64 (2018.20181218.49446-1) ... Setting up libdatrie1:arm64 (0.2.12-2) ... Setting up libmagic-mgc (1:5.35-4+deb10u1) ... Setting up libtexlua53:arm64 (2018.20181218.49446-1) ... Setting up libarchive-zip-perl (1.64-1) ... Setting up libglib2.0-0:arm64 (2.58.3-2+deb10u2) ... No schema files found: doing nothing. Setting up libijs-0.35:arm64 (0.35-14) ... Setting up libbrotli1:arm64 (1.0.7-2) ... Setting up rdfind (1.4.1-1) ... Setting up liblab-gamut1 (2.40.1-6) ... Setting up libnorm1:arm64 (1.5.8+dfsg2-1) ... Setting up x11-common (1:7.7+19) ... update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults invoke-rc.d: could not determine current runlevel Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix. Setting up libmagic1:arm64 (1:5.35-4+deb10u1) ... Setting up fonts-roboto-slab (1.100263+20170512-1) ... Setting up gettext-base (0.19.8.1-9) ... Setting up libzzip-0-13:arm64 (0.13.62-3.2) ... Setting up libc-ares2:arm64 (1.14.0-1) ... Setting up file (1:5.35-4+deb10u1) ... Setting up libjs-modernizr (2.6.2+ds1-3) ... Setting up libjbig0:arm64 (2.1-3.1+b2) ... Setting up libicu63:arm64 (63.1-6+deb10u1) ... Setting up python-babel-localedata (2.6.0+dfsg.1-1) ... Setting up poppler-data (0.4.9-2) ... Setting up libkrb5support0:arm64 (1.17-3) ... Setting up libgts-0.7-5:arm64 (0.7.6+darcs121130-4) ... Setting up autotools-dev (20180224.1) ... Setting up libuv1:arm64 (1.24.1-1) ... Setting up libexpat1-dev:arm64 (2.2.6-2+deb10u1) ... Setting up libjpeg62-turbo:arm64 (1:1.5.2-2+b1) ... Setting up libx11-data (2:1.6.7-1) ... Setting up libjbig2dec0:arm64 (0.16-1) ... Setting up libidn11:arm64 (1.33-2.2) ... Setting up libteckit0:arm64 (2.5.8+ds2-5) ... Setting up libpathplan4 (2.40.1-6) ... Setting up libavahi-common-data:arm64 (0.7-4+b1) ... Setting up libncurses6:arm64 (6.1+20181013-2+deb10u2) ... Setting up libdbus-1-3:arm64 (1.12.20-0+deb10u1) ... Setting up libsigsegv2:arm64 (2.12-2) ... Setting up libfribidi0:arm64 (1.0.5-3.1+deb10u1) ... Setting up t1utils (1.41-3) ... Setting up libjs-d3 (3.5.17-2) ... Setting up libpng16-16:arm64 (1.6.36-6) ... Setting up libnode64:arm64 (10.21.0~dfsg-1~deb10u1) ... Setting up autopoint (0.19.8.1-9) ... Setting up libwebp6:arm64 (0.6.1-2) ... Setting up fonts-dejavu-core (2.37-1) ... Setting up libk5crypto3:arm64 (1.17-3) ... Setting up libltdl7:arm64 (2.4.6-9) ... Setting up libkpathsea6:arm64 (2018.20181218.49446-1) ... Setting up libgfortran5:arm64 (8.3.0-6) ... Setting up sensible-utils (0.0.12) ... Setting up libxxhash0:arm64 (0.6.5-2) ... Setting up libuchardet0:arm64 (0.0.6-3) ... Setting up fonts-lmodern (2.004.5-6) ... Setting up libopenjp2-7:arm64 (2.3.0-2+deb10u1) ... Setting up libthai-data (0.1.28-2) ... Setting up sgml-base (1.29) ... Setting up libcdt5 (2.40.1-6) ... Setting up libkrb5-3:arm64 (1.17-3) ... Setting up libcgraph6 (2.40.1-6) ... Setting up libtiff5:arm64 (4.1.0+git191117-2~deb10u1) ... Setting up libmpdec2:arm64 (2.4.2-2) ... Setting up libjs-jquery (3.3.1~dfsg-3) ... Setting up openssl (1.1.1d-0+deb10u3) ... Setting up libbsd0:arm64 (0.9.1-2) ... Setting up libelf1:arm64 (0.176-1.1) ... Setting up readline-common (7.0-5) ... Setting up libxml2:arm64 (2.9.4+dfsg1-7+b3) ... Setting up fonts-font-awesome (5.0.10+really4.7.0~dfsg-1) ... Setting up sphinx-rtd-theme-common (0.4.3+dfsg-1) ... Setting up xdg-utils (1.1.3-1+deb10u1) ... Setting up libsynctex2:arm64 (2018.20181218.49446-1) ... Setting up libreadline7:arm64 (7.0-5) ... Setting up libpgm-5.2-0:arm64 (5.2.122~dfsg-3) ... Setting up libjs-underscore (1.9.1~dfsg-1) ... Setting up libpotrace0:arm64 (1.15-1) ... Setting up libfile-stripnondeterminism-perl (1.1.2-1) ... Setting up libice6:arm64 (2:1.0.9-2) ... Setting up libxdmcp6:arm64 (1:1.1.2-3) ... Setting up libpython3.7-stdlib:arm64 (3.7.3-2+deb10u2) ... Setting up libxcb1:arm64 (1.13.1-2) ... Setting up libwoff1:arm64 (1.0.2-1) ... Setting up libpython3.7:arm64 (3.7.3-2+deb10u2) ... Setting up libtool (2.4.6-9) ... Setting up libxcb-render0:arm64 (1.13.1-2) ... Setting up libpython3.7-dev:arm64 (3.7.3-2+deb10u2) ... Setting up libavahi-common3:arm64 (0.7-4+b1) ... Setting up m4 (1.4.18-2) ... Setting up libxcb-shm0:arm64 (1.13.1-2) ... Setting up nodejs (10.21.0~dfsg-1~deb10u1) ... update-alternatives: using /usr/bin/nodejs to provide /usr/bin/js (js) in auto mode Setting up node-clone (2.1.2-1) ... Setting up libpython2.7-stdlib:arm64 (2.7.16-2+deb10u1) ... Setting up libthai0:arm64 (0.1.28-2) ... Setting up ca-certificates (20190110) ... Updating certificates in /etc/ssl/certs... 128 added, 0 removed; done. Setting up libblas3:arm64 (3.8.0-2) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode Setting up libptexenc1:arm64 (2018.20181218.49446-1) ... Setting up node-y18n (3.2.1-2) ... Setting up libfreetype6:arm64 (2.9.1-3+deb10u1) ... Setting up node-shebang-regex (2.0.0-1) ... Setting up node-is-stream (1.1.0-1) ... Setting up node-p-finally (1.0.0-2) ... Setting up node-get-stream (3.0.0-1) ... Setting up bsdmainutils (11.1.2+b1) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up node-set-blocking (2.0.0-1) ... Setting up libgssapi-krb5-2:arm64 (1.17-3) ... Setting up node-pend (1.2.0-1) ... Setting up libcroco3:arm64 (0.6.12-3) ... Setting up node-signal-exit (3.0.2-1) ... Setting up ucf (3.0038+nmu1) ... Setting up node-pegjs (0.7.0-2) ... Setting up libjs-sphinxdoc (1.8.4-1) ... Setting up autoconf (2.69-11) ... Setting up node-require-directory (2.1.1-1) ... Setting up node-defaults (1.0.3-1) ... Setting up libgvpr2 (2.40.1-6) ... Setting up dwz (0.12-3) ... Setting up groff-base (1.22.4-3) ... Setting up xml-core (0.18+nmu1) ... Setting up node-mimic-fn (1.1.0-1) ... Setting up libx11-6:arm64 (2:1.6.7-1) ... Setting up libharfbuzz0b:arm64 (2.3.1-1) ... Setting up libsm6:arm64 (2:1.2.3-1) ... Setting up node-npm-run-path (2.0.2-2) ... Setting up libavahi-client3:arm64 (0.7-4+b1) ... Setting up libblas-dev:arm64 (3.8.0-2) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so to provide /usr/lib/aarch64-linux-gnu/libblas.so (libblas.so-aarch64-linux-gnu) in auto mode Setting up libpython3-stdlib:arm64 (3.7.3-1) ... Setting up node-shebang-command (1.2.0-1) ... Setting up node-strip-eof (1.0.0-2) ... Setting up automake (1:1.16.1-4) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libpaper1:arm64 (1.1.28) ... Creating config file /etc/papersize with new version Setting up python3.7 (3.7.3-2+deb10u2) ... Setting up node-browserify-lite (0.5.0-7) ... Setting up libpython2.7:arm64 (2.7.16-2+deb10u1) ... Setting up liblapack3:arm64 (3.8.0-2) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/aarch64-linux-gnu/liblapack.so.3 (liblapack.so.3-aarch64-linux-gnu) in auto mode Setting up libpython2.7-dev:arm64 (2.7.16-2+deb10u1) ... Setting up node-mem (1.1.0-1) ... Setting up gettext (0.19.8.1-9) ... Setting up libharfbuzz-icu0:arm64 (2.3.1-1) ... Setting up node-invert-kv (1.0.0-1) ... Setting up libpython3-dev:arm64 (3.7.3-1) ... Setting up node-p-limit (1.1.0-1) ... Setting up node-yallist (3.0.3-1) ... Setting up libzmq5:arm64 (4.3.1-4+deb10u1) ... Setting up node-ansi-regex (3.0.0-1) ... Setting up libxpm4:arm64 (1:3.5.12-1) ... Setting up python2.7 (2.7.16-2+deb10u1) ... Setting up libxrender1:arm64 (1:0.9.10-1) ... Setting up libpython2-stdlib:arm64 (2.7.16-1) ... Setting up node-get-caller-file (1.0.2-1) ... Setting up node-require-main-filename (1.0.1-1) ... Setting up fontconfig-config (2.13.1-2) ... Setting up node-isexe (2.0.0-4) ... Setting up node-path-exists (3.0.0-1) ... Setting up node-p-locate (2.0.0-1) ... Setting up node-which-module (2.0.0-1) ... Setting up node-decamelize (1.2.0-1) ... Setting up libxext6:arm64 (2:1.3.3-1+b2) ... Setting up node-color-name (1.1.3-1) ... Setting up python3 (3.7.3-1) ... Setting up node-lodash-compat (3.10.2-1) ... Setting up node-camelcase (5.0.0-1) ... Setting up libpaper-utils (1.1.28) ... Setting up python3-pandocfilters (1.4.2-1) ... Setting up man-db (2.8.5-2) ... Not building database; man-db/auto-update is not 'true'. Setting up python3-markupsafe (1.1.0-1) ... Setting up python2 (2.7.16-1) ... Setting up python3-webencodings (0.5.1-1) ... Setting up python3.7-dev (3.7.3-2+deb10u2) ... Setting up node-yargs-parser (11.1.1-1+deb10u1) ... Setting up python3-tz (2019.1-1) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up node-wcwidth.js (1.0.0-1) ... Setting up python3-six (1.12.0-1) ... Setting up tex-common (6.11) ... update-language: texlive-base not installed and configured, doing nothing! Setting up node-locate-path (2.0.0-1) ... Setting up libpython-stdlib:arm64 (2.7.16-1) ... Setting up python3-roman (2.0.0-3) ... Setting up python3-decorator (4.3.0-1.1) ... Setting up python3-jinja2 (2.10-2) ... Setting up python3-pygments (2.3.1+dfsg-1) ... Setting up python3-wcwidth (0.1.7+dfsg1-3) ... Setting up python3-pyparsing (2.2.0+dfsg1-2) ... Setting up python3-certifi (2018.8.24-1) ... Setting up python3-testpath (0.4.2+dfsg-1) ... Setting up python3-zmq (17.1.2-2) ... Setting up sphinx-common (1.8.4-1) ... Setting up node-strip-ansi (4.0.0-1) ... Setting up python3-idna (2.6-1) ... Setting up cython3 (0.29.2-2) ... Setting up node-which (1.3.0-2) ... Setting up libxt6:arm64 (1:1.1.5-1+b3) ... Setting up node-lcid (1.0.0-1) ... Setting up python3-html5lib (1.0.1-1) ... Setting up python3-pickleshare (0.7.5-1) ... Setting up python3-urllib3 (1.24.1-1) ... Setting up libcups2:arm64 (2.2.10-6+deb10u3) ... Setting up python3-dateutil (2.7.3-3) ... Setting up libpython2-dev:arm64 (2.7.16-1) ... Setting up libfontconfig1:arm64 (2.13.1-2) ... Setting up python3-simplegeneric (0.8.1-2) ... Setting up python3-lib2to3 (3.7.3-1) ... Setting up python (2.7.16-1) ... Setting up python3-mistune (0.8.4-1) ... Setting up node-color-convert (1.9.0-3) ... Setting up node-string-width (2.1.1-1) ... Setting up python3-imagesize (1.0.0-1) ... Setting up python3-ptyprocess (0.6.0-1) ... Setting up python2.7-dev (2.7.16-2+deb10u1) ... Setting up python3-pkg-resources (40.8.0-1) ... Setting up python3-entrypoints (0.3-1) ... Setting up python3-prompt-toolkit (1.0.15-1) ... Setting up python3-distutils (3.7.3-1) ... Setting up dh-python (3.20190308) ... Setting up python3-tornado (5.1.1-4) ... Setting up cython (0.29.2-2) ... Setting up fontconfig (2.13.1-2) ... Regenerating fonts cache... done. Setting up node-lru-cache (5.1.1-4) ... Setting up libxmu6:arm64 (2:1.1.2-2+b3) ... Setting up python3-parameterized (0.6.1-2) ... Setting up python2-dev (2.7.16-1) ... Setting up python3-setuptools (40.8.0-1) ... Setting up libxi6:arm64 (2:1.7.9-1) ... Setting up python-parameterized (0.6.1-2) ... Setting up python3-babel (2.6.0+dfsg.1-1) ... update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode Setting up python3-defusedxml (0.5.0-2) ... Setting up python3-ipython-genutils (0.2.0-1) ... Setting up python-pkg-resources (40.8.0-1) ... Setting up python3-alabaster (0.7.8-1) ... Setting up po-debconf (1.0.21) ... Setting up preview-latex-style (11.91-2) ... Setting up libpango-1.0-0:arm64 (1.42.4-8~deb10u1) ... Setting up node-find-up (2.1.0-1) ... Setting up libxaw7:arm64 (2:1.0.13-1+b2) ... Setting up python3-nose (1.3.7-4) ... Setting up libcairo2:arm64 (1.16.0-4) ... Setting up libcupsimage2:arm64 (2.2.10-6+deb10u3) ... Setting up python-decorator (4.3.0-1.1) ... Setting up python3-bleach (3.1.2-0+deb10u1) ... Setting up libpython-dev:arm64 (2.7.16-1) ... Setting up python-six (1.12.0-1) ... Setting up python-pyparsing (2.2.0+dfsg1-2) ... Setting up python3-packaging (19.0-1) ... Setting up python3-chardet (3.0.4-3) ... Setting up node-cross-spawn (5.1.0-2) ... Setting up node-ansi-styles (3.2.1-1) ... Setting up python3-jsonschema (2.6.0-4) ... update-alternatives: using /usr/bin/python3-jsonschema to provide /usr/bin/jsonschema (jsonschema) in auto mode Setting up python3-pexpect (4.6.0-1) ... Setting up python3-dev (3.7.3-1) ... Setting up python3-requests (2.21.0-1) ... Setting up libgd3:arm64 (2.2.5-5.2) ... Setting up python-setuptools (40.8.0-1) ... Setting up python3-numpy (1:1.16.2-1) ... Setting up python3-traitlets (4.3.2-1) ... Setting up libpangoft2-1.0-0:arm64 (1.42.4-8~deb10u1) ... Setting up python3-jupyter-core (4.4.0-2) ... Setting up libpangocairo-1.0-0:arm64 (1.42.4-8~deb10u1) ... Setting up python-dev (2.7.16-1) ... Setting up python3-scipy (1.1.0-7) ... Setting up node-execa (0.10.0+dfsg-1) ... Setting up libgs9:arm64 (9.27~dfsg-2+deb10u3) ... Setting up python-numpy (1:1.16.2-1) ... Setting up python-nose (1.3.7-4) ... Setting up python3-nbformat (4.4.0-1) ... Setting up ghostscript (9.27~dfsg-2+deb10u3) ... Setting up node-os-locale (2.0.0-1) ... Setting up node-wrap-ansi (4.0.0-1) ... Setting up python3-ipython (5.8.0-1) ... Setting up libgvc6 (2.40.1-6) ... Setting up texlive-binaries (2018.20181218.49446-1) ... 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 python3-jupyter-client (5.2.3-1) ... Setting up python-scipy (1.1.0-7) ... Setting up texlive-base (2018.20190227-2) ... tl-paper: setting paper size for dvips to a4: /var/lib/texmf/dvips/config/config-paper.ps tl-paper: setting paper size for dvipdfmx to a4: /var/lib/texmf/dvipdfmx/dvipdfmx-paper.cfg tl-paper: setting paper size for xdvi to a4: /var/lib/texmf/xdvi/XDvi-paper tl-paper: setting paper size for pdftex to a4: /var/lib/texmf/tex/generic/config/pdftexconfig.tex Setting up node-cliui (4.1.0-1) ... Setting up graphviz (2.40.1-6) ... Setting up node-yargs (10.0.3-2) ... Setting up python3-pydot (1.4.1-1) ... Setting up dvipng (1.15-1.1) ... Setting up texlive-latex-base (2018.20190227-2) ... Setting up texlive-latex-recommended (2018.20190227-2) ... Setting up python3-ipykernel (4.9.0-1) ... Setting up python-pydot-ng (1.0.0-3) ... Setting up texlive-pictures (2018.20190227-2) ... Setting up python3-nbconvert (5.4-2) ... Setting up node-uglify (2.8.29-6) ... Setting up texlive-fonts-recommended (2018.20190227-2) ... Setting up latexmk (1:4.61-0.1) ... Setting up texlive-latex-extra (2018.20190227-2) ... Setting up jupyter-nbconvert (5.4-2) ... Setting up dh-autoreconf (19) ... Setting up dh-strip-nondeterminism (1.1.2-1) ... Setting up debhelper (12.1.1) ... Processing triggers for libc-bin (2.28-10) ... Processing triggers for sgml-base (1.29) ... Setting up docutils-common (0.14+dfsg-4) ... Processing triggers for sgml-base (1.29) ... Setting up python3-docutils (0.14+dfsg-4) ... 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-sphinx (1.8.4-1) ... update-alternatives: using /usr/share/sphinx/scripts/python3/sphinx-apidoc to provide /usr/bin/sphinx-apidoc (sphinx-apidoc) in auto mode update-alternatives: using /usr/share/sphinx/scripts/python3/sphinx-autogen to provide /usr/bin/sphinx-autogen (sphinx-autogen) in auto mode update-alternatives: using /usr/share/sphinx/scripts/python3/sphinx-build to provide /usr/bin/sphinx-build (sphinx-build) in auto mode update-alternatives: using /usr/share/sphinx/scripts/python3/sphinx-quickstart to provide /usr/bin/sphinx-quickstart (sphinx-quickstart) in auto mode Setting up python3-sphinx-rtd-theme (0.4.3+dfsg-1) ... Processing triggers for ca-certificates (20190110) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. Processing triggers for tex-common (6.11) ... 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. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps I: Building the package I: Running cd /build/theano-1.0.3+dfsg/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b dpkg-buildpackage: info: source package theano dpkg-buildpackage: info: source version 1.0.3+dfsg-1 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Rebecca N. Palmer dpkg-source --before-build . dpkg-buildpackage: info: host architecture arm64 dpkg-source: info: using options from theano-1.0.3+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/ debian/rules clean dh clean --with python2,python3,sphinxdoc --buildsystem=pybuild debian/rules override_dh_auto_clean make[1]: Entering directory '/build/theano-1.0.3+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 doc/library/d3viz/.pybuild Theano.egg-info theano/scan_module/c_code/scan_perform.c jupyter_tmp make -C debian/missing-source/graphlib-dot clean make[2]: Entering directory '/build/theano-1.0.3+dfsg/debian/missing-source/graphlib-dot' rm -rf build make[2]: Leaving directory '/build/theano-1.0.3+dfsg/debian/missing-source/graphlib-dot' dh_auto_clean I: pybuild base:217: python2.7 setup.py clean running clean removing '/build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build' (and everything under it) 'build/bdist.linux-arm64' does not exist -- can't clean it 'build/scripts-2.7' does not exist -- can't clean it I: pybuild base:217: python3.7 setup.py clean running clean removing '/build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build' (and everything under it) 'build/bdist.linux-arm64' does not exist -- can't clean it 'build/scripts-3.7' does not exist -- can't clean it make[1]: Leaving directory '/build/theano-1.0.3+dfsg' dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --with python2,python3,sphinxdoc --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild I: pybuild base:217: python2.7 setup.py config running config I: pybuild base:217: python3.7 setup.py config running config debian/rules override_dh_auto_build make[1]: Entering directory '/build/theano-1.0.3+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 '/build/theano-1.0.3+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 '/build/theano-1.0.3+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 #the cython code is the only part of theano itself that needs building - the C code is runtime compiled #the patch is to code Cython copies from itself (Cython/Includes/numpy/__init__.pxd), that only exists in older versions - #918771 cd /build/theano-1.0.3+dfsg/theano/scan_module && cython3 scan_perform.pyx /usr/lib/python3/dist-packages/Cython/Compiler/Main.py:367: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /build/theano-1.0.3+dfsg/theano/scan_module/scan_perform.pyx tree = Parsing.p_module(s, pxd, full_module_name) cd /build/theano-1.0.3+dfsg/theano/scan_module && dpkg --compare-versions `dpkg-query -f '${Version}' -W cython3` gt 0.29~ || patch --no-backup-if-mismatch scan_perform.c numpy_api_changes.diff cd /build/theano-1.0.3+dfsg/theano/scan_module && mv scan_perform.c -t c_code #documentation sed -i -e "s/!pip/#!pip/g" doc/library/d3viz/index.ipynb mkdir jupyter_tmp #check that we can run this, but throw away the result because it's unreproducible (profiling output) cp /build/theano-1.0.3+dfsg/doc/library/d3viz/index.ipynb jupyter_tmp && jupyter-nbconvert --to notebook --execute /build/theano-1.0.3+dfsg/jupyter_tmp/index.ipynb --output /build/theano-1.0.3+dfsg/jupyter_tmp/test.ipynb [NbConvertApp] Converting notebook /build/theano-1.0.3+dfsg/jupyter_tmp/index.ipynb to notebook [NbConvertApp] Executing notebook with kernel: python3 [NbConvertApp] Writing 184463 bytes to /build/theano-1.0.3+dfsg/jupyter_tmp/test.ipynb #...but do use the ipynb-to-html-etc conversion jupyter-nbconvert --to html doc/library/d3viz/index.ipynb [NbConvertApp] Converting notebook doc/library/d3viz/index.ipynb to html [NbConvertApp] Writing 506533 bytes to doc/library/d3viz/index.html sed -i -e "s/#!pip/!pip/g" doc/library/d3viz/index.ipynb python3 doc/scripts/docgen.py Running Sphinx v1.8.4 building [mo]: targets for 0 po files that are out of date building [html]: targets for 181 source files that are out of date updating environment: 181 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... [ 6%] citation reading sources... [ 6%] core_development_guide reading sources... [ 7%] crei2013/advanced_theano reading sources... [ 7%] crei2013/gpundarray reading sources... [ 8%] crei2013/index reading sources... [ 8%] crei2013/introduction reading sources... [ 9%] crei2013/theano reading sources... [ 9%] dev_start_guide reading sources... [ 10%] extending/cop reading sources... [ 11%] extending/ctype reading sources... [ 11%] extending/extending_faq reading sources... [ 12%] extending/extending_theano reading sources... [ 12%] extending/extending_theano_c reading sources... [ 13%] extending/extending_theano_gpu reading sources... [ 13%] extending/fibby reading sources... [ 14%] extending/graphstructures reading sources... [ 14%] extending/index reading sources... [ 15%] extending/inplace reading sources... [ 16%] extending/op reading sources... [ 16%] extending/optimization reading sources... [ 17%] extending/other_ops reading sources... [ 17%] extending/pipeline reading sources... [ 18%] extending/scan reading sources... [ 18%] extending/theano_vs_c reading sources... [ 19%] extending/tips reading sources... [ 19%] extending/type reading sources... [ 20%] extending/unittest reading sources... [ 20%] extending/using_params reading sources... [ 21%] faq reading sources... [ 22%] glossary reading sources... [ 22%] index reading sources... [ 23%] install reading sources... [ 23%] install_centos6 reading sources... [ 24%] install_macos reading sources... [ 24%] install_others reading sources... [ 25%] install_ubuntu reading sources... [ 25%] install_windows reading sources... [ 26%] internal/dev_start_guide reading sources... [ 27%] internal/how_to_release reading sources... [ 27%] internal/index reading sources... [ 28%] internal/metadocumentation reading sources... [ 28%] internal/python reading sources... [ 29%] internal/release reading sources... [ 29%] introduction reading sources... [ 30%] library/compile/debugmode reading sources... [ 30%] library/compile/function reading sources... [ 31%] library/compile/index reading sources... [ 32%] library/compile/io reading sources... [ 32%] library/compile/mode reading sources... [ 33%] library/compile/nanguardmode reading sources... [ 33%] library/compile/opfromgraph reading sources... [ 34%] library/compile/ops reading sources... [ 34%] library/compile/profilemode reading sources... [ 35%] library/compile/shared reading sources... [ 35%] library/config reading sources... [ 36%] library/d3viz/index reading sources... [ 37%] library/gof/fgraph reading sources... [ 37%] library/gof/graph reading sources... [ 38%] library/gof/index reading sources... [ 38%] library/gof/params_type reading sources... [ 39%] library/gof/toolbox reading sources... [ 39%] library/gof/type reading sources... [ 40%] library/gof/utils reading sources... [ 40%] library/gpuarray/ctc reading sources... [ 41%] library/gpuarray/dnn reading sources... [ 41%] library/gpuarray/extra reading sources... [ 42%] library/gpuarray/fft reading sources... [ 43%] library/gpuarray/index reading sources... [ 43%] library/gpuarray/linalg reading sources... [ 44%] library/gpuarray/op reading sources... [ 44%] library/gpuarray/type reading sources... [ 45%] library/gradient reading sources... [ 45%] library/index reading sources... [ 46%] library/misc/pkl_utils reading sources... [ 46%] library/printing reading sources... [ 47%] library/sandbox/index reading sources... [ 48%] library/sandbox/linalg reading sources... [ 48%] library/sandbox/neighbours reading sources... [ 49%] library/sandbox/rng_mrg reading sources... [ 49%] library/scalar/index reading sources... [ 50%] library/scan reading sources... [ 50%] library/sparse/index reading sources... [ 51%] library/sparse/sandbox reading sources... [ 51%] library/tensor/basic reading sources... [ 52%] library/tensor/elemwise reading sources... [ 53%] library/tensor/extra_ops reading sources... [ 53%] library/tensor/fft reading sources... [ 54%] library/tensor/index reading sources... [ 54%] library/tensor/io reading sources... [ 55%] library/tensor/nlinalg reading sources... [ 55%] library/tensor/nnet/blocksparse reading sources... [ 56%] library/tensor/nnet/bn reading sources... [ 56%] library/tensor/nnet/conv reading sources... [ 57%] library/tensor/nnet/ctc reading sources... [ 58%] library/tensor/nnet/index reading sources... [ 58%] library/tensor/nnet/neighbours reading sources... [ 59%] library/tensor/nnet/nnet reading sources... [ 59%] library/tensor/opt reading sources... [ 60%] library/tensor/raw_random reading sources... [ 60%] library/tensor/shared_randomstreams reading sources... [ 61%] library/tensor/signal/conv reading sources... [ 61%] library/tensor/signal/downsample reading sources... [ 62%] library/tensor/signal/index reading sources... [ 62%] library/tensor/signal/pool reading sources... [ 63%] library/tensor/slinalg reading sources... [ 64%] library/tensor/utils reading sources... [ 64%] library/tests reading sources... [ 65%] library/typed_list reading sources... [ 65%] links reading sources... [ 66%] nice_quotes reading sources... [ 66%] optimizations reading sources... [ 67%] proposals/complex_gradient reading sources... [ 67%] proposals/conditional reading sources... [ 68%] proposals/dp_optimization reading sources... [ 69%] proposals/graphical_models reading sources... [ 69%] proposals/index reading sources... [ 70%] proposals/intermediate_language reading sources... [ 70%] proposals/mongodb_cache reading sources... [ 71%] proposals/opt_patterns2 reading sources... [ 71%] proposals/pfunc reading sources... [ 72%] proposals/premerge reading sources... [ 72%] proposals/tensor_attributes reading sources... [ 73%] requirements reading sources... [ 74%] sandbox/ccodegen reading sources... [ 74%] sandbox/compilation reading sources... [ 75%] sandbox/debugging_with_stepmode reading sources... [ 75%] sandbox/elemwise_compiler reading sources... [ 76%] sandbox/function reading sources... [ 76%] sandbox/functional reading sources... [ 77%] sandbox/hosting reading sources... [ 77%] sandbox/how_to_make_ops reading sources... [ 78%] sandbox/index reading sources... [ 79%] sandbox/index2 reading sources... [ 79%] sandbox/interactive_debugger reading sources... [ 80%] sandbox/logistic_regression_example reading sources... [ 80%] sandbox/max_gotcha reading sources... [ 81%] sandbox/performance reading sources... [ 81%] sandbox/randomnumbers reading sources... [ 82%] sandbox/rethinkccodegen reading sources... [ 82%] sandbox/sandbox reading sources... [ 83%] sandbox/software reading sources... [ 83%] sandbox/sparse reading sources... [ 84%] sandbox/tensoroptools reading sources... [ 85%] troubleshooting reading sources... [ 85%] tutorial/adding reading sources... [ 86%] tutorial/aliasing reading sources... [ 86%] tutorial/broadcasting reading sources... [ 87%] tutorial/conditions reading sources... [ 87%] tutorial/conv_arithmetic reading sources... [ 88%] tutorial/debug_faq reading sources... [ 88%] tutorial/examples reading sources... [ 89%] tutorial/extending_theano reading sources... [ 90%] tutorial/extending_theano_c reading sources... [ 90%] tutorial/faq_tutorial reading sources... [ 91%] tutorial/gradients reading sources... [ 91%] tutorial/index reading sources... [ 92%] tutorial/loading_and_saving reading sources... [ 92%] tutorial/loop reading sources... [ 93%] tutorial/modes reading sources... [ 93%] tutorial/multi_cores reading sources... [ 94%] tutorial/nan_tutorial reading sources... [ 95%] tutorial/numpy reading sources... [ 95%] tutorial/printing_drawing reading sources... [ 96%] tutorial/profiling reading sources... [ 96%] tutorial/python reading sources... [ 97%] tutorial/shape_info reading sources... [ 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 doc/scripts/docgen.py:73: RemovedInSphinx20Warning: `sphinx.build_main()` has moved to `sphinx.cmd.build.build_main()`. ret = sphinx.build_main(['', '-b', builder] + extraopts + inopt) /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnConvDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/linalg/ops.py:docstring of theano.sandbox.linalg.ops.HintsOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.ConstructSparseFromList.make_node:6: WARNING: Field list ends without a blank line; unexpected unindent. /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/io.py:docstring of theano.tensor.io.MPIRecv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/tensor/nnet/abstract_conv.py:docstring of theano.tensor.nnet.abstract_conv.BaseAbstractConv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.FusionOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.InplaceElemwiseOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.ShapeOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:19: WARNING: Unknown target name: "py". 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... [ 6%] citation writing output... [ 6%] core_development_guide writing output... [ 7%] crei2013/advanced_theano writing output... [ 7%] crei2013/gpundarray writing output... [ 8%] crei2013/index writing output... [ 8%] crei2013/introduction writing output... [ 9%] crei2013/theano writing output... [ 9%] dev_start_guide writing output... [ 10%] extending/cop writing output... [ 11%] extending/ctype writing output... [ 11%] extending/extending_faq writing output... [ 12%] extending/extending_theano writing output... [ 12%] extending/extending_theano_c writing output... [ 13%] extending/extending_theano_gpu writing output... [ 13%] extending/fibby writing output... [ 14%] extending/graphstructures writing output... [ 14%] extending/index writing output... [ 15%] extending/inplace writing output... [ 16%] extending/op writing output... [ 16%] extending/optimization writing output... [ 17%] extending/other_ops writing output... [ 17%] extending/pipeline writing output... [ 18%] extending/scan writing output... [ 18%] extending/theano_vs_c writing output... [ 19%] extending/tips writing output... [ 19%] extending/type writing output... [ 20%] extending/unittest writing output... [ 20%] extending/using_params writing output... [ 21%] faq writing output... [ 22%] glossary writing output... [ 22%] index writing output... [ 23%] install writing output... [ 23%] install_centos6 writing output... [ 24%] install_macos writing output... [ 24%] install_others writing output... [ 25%] install_ubuntu writing output... [ 25%] install_windows writing output... [ 26%] internal/dev_start_guide writing output... [ 27%] internal/how_to_release writing output... [ 27%] internal/index writing output... [ 28%] internal/metadocumentation writing output... [ 28%] internal/python writing output... [ 29%] internal/release writing output... [ 29%] introduction writing output... [ 30%] library/compile/debugmode writing output... [ 30%] library/compile/function writing output... [ 31%] library/compile/index writing output... [ 32%] library/compile/io writing output... [ 32%] library/compile/mode writing output... [ 33%] library/compile/nanguardmode writing output... [ 33%] library/compile/opfromgraph writing output... [ 34%] library/compile/ops writing output... [ 34%] library/compile/profilemode writing output... [ 35%] library/compile/shared writing output... [ 35%] library/config writing output... [ 36%] library/d3viz/index writing output... [ 37%] library/gof/fgraph writing output... [ 37%] library/gof/graph writing output... [ 38%] library/gof/index writing output... [ 38%] library/gof/params_type writing output... [ 39%] library/gof/toolbox writing output... [ 39%] library/gof/type writing output... [ 40%] library/gof/utils writing output... [ 40%] library/gpuarray/ctc writing output... [ 41%] library/gpuarray/dnn writing output... [ 41%] library/gpuarray/extra writing output... [ 42%] library/gpuarray/fft writing output... [ 43%] library/gpuarray/index writing output... [ 43%] library/gpuarray/linalg writing output... [ 44%] library/gpuarray/op writing output... [ 44%] library/gpuarray/type writing output... [ 45%] library/gradient writing output... [ 45%] library/index writing output... [ 46%] library/misc/pkl_utils writing output... [ 46%] library/printing writing output... [ 47%] library/sandbox/index writing output... [ 48%] library/sandbox/linalg writing output... [ 48%] library/sandbox/neighbours writing output... [ 49%] library/sandbox/rng_mrg writing output... [ 49%] library/scalar/index writing output... [ 50%] library/scan writing output... [ 50%] library/sparse/index writing output... [ 51%] library/sparse/sandbox writing output... [ 51%] library/tensor/basic writing output... [ 52%] library/tensor/elemwise writing output... [ 53%] library/tensor/extra_ops writing output... [ 53%] library/tensor/fft writing output... [ 54%] library/tensor/index writing output... [ 54%] library/tensor/io writing output... [ 55%] library/tensor/nlinalg writing output... [ 55%] library/tensor/nnet/blocksparse writing output... [ 56%] library/tensor/nnet/bn writing output... [ 56%] library/tensor/nnet/conv writing output... [ 57%] library/tensor/nnet/ctc writing output... [ 58%] library/tensor/nnet/index writing output... [ 58%] library/tensor/nnet/neighbours writing output... [ 59%] library/tensor/nnet/nnet writing output... [ 59%] library/tensor/opt writing output... [ 60%] library/tensor/raw_random writing output... [ 60%] library/tensor/shared_randomstreams writing output... [ 61%] library/tensor/signal/conv writing output... [ 61%] library/tensor/signal/downsample writing output... [ 62%] library/tensor/signal/index writing output... [ 62%] library/tensor/signal/pool writing output... [ 63%] library/tensor/slinalg writing output... [ 64%] library/tensor/utils writing output... [ 64%] library/tests writing output... [ 65%] library/typed_list writing output... [ 65%] links writing output... [ 66%] nice_quotes writing output... [ 66%] optimizations writing output... [ 67%] proposals/complex_gradient writing output... [ 67%] proposals/conditional writing output... [ 68%] proposals/dp_optimization writing output... [ 69%] proposals/graphical_models writing output... [ 69%] proposals/index writing output... [ 70%] proposals/intermediate_language writing output... [ 70%] proposals/mongodb_cache writing output... [ 71%] proposals/opt_patterns2 writing output... [ 71%] proposals/pfunc writing output... [ 72%] proposals/premerge writing output... [ 72%] proposals/tensor_attributes writing output... [ 73%] requirements writing output... [ 74%] sandbox/ccodegen writing output... [ 74%] sandbox/compilation writing output... [ 75%] sandbox/debugging_with_stepmode writing output... [ 75%] sandbox/elemwise_compiler writing output... [ 76%] sandbox/function writing output... [ 76%] sandbox/functional writing output... [ 77%] sandbox/hosting writing output... [ 77%] sandbox/how_to_make_ops writing output... [ 78%] sandbox/index writing output... [ 79%] sandbox/index2 writing output... [ 79%] sandbox/interactive_debugger writing output... [ 80%] sandbox/logistic_regression_example writing output... [ 80%] sandbox/max_gotcha writing output... [ 81%] sandbox/performance writing output... [ 81%] sandbox/randomnumbers writing output... [ 82%] sandbox/rethinkccodegen writing output... [ 82%] sandbox/sandbox writing output... [ 83%] sandbox/software writing output... [ 83%] sandbox/sparse writing output... [ 84%] sandbox/tensoroptools writing output... [ 85%] troubleshooting writing output... [ 85%] tutorial/adding writing output... [ 86%] tutorial/aliasing writing output... [ 86%] tutorial/broadcasting writing output... [ 87%] tutorial/conditions writing output... [ 87%] tutorial/conv_arithmetic writing output... [ 88%] tutorial/debug_faq writing output... [ 88%] tutorial/examples writing output... [ 89%] tutorial/extending_theano writing output... [ 90%] tutorial/extending_theano_c writing output... [ 90%] tutorial/faq_tutorial writing output... [ 91%] tutorial/gradients writing output... [ 91%] tutorial/index writing output... [ 92%] tutorial/loading_and_saving writing output... [ 92%] tutorial/loop writing output... [ 93%] tutorial/modes writing output... [ 93%] tutorial/multi_cores writing output... [ 94%] tutorial/nan_tutorial writing output... [ 95%] tutorial/numpy writing output... [ 95%] tutorial/printing_drawing writing output... [ 96%] tutorial/profiling writing output... [ 96%] tutorial/python writing output... [ 97%] tutorial/shape_info writing output... [ 97%] tutorial/sparse writing output... [ 98%] tutorial/symbolic_graphs writing output... [ 98%] tutorial/using_gpu writing output... [ 99%] tutorial/using_multi_gpu writing output... [100%] updating generating indices... genindex py-modindex writing additional pages... search copying images... [ 1%] cifarSC2011/../hpcs2011_tutorial/pics/pipeline.png copying images... [ 3%] cifarSC2011/./pics/logreg_pydotprint_prediction.png copying images... [ 5%] cifarSC2011/./pics/logreg_pydotprint_predict.png copying images... [ 7%] cifarSC2011/./pics/logreg_pydotprint_train.png copying images... [ 9%] cifarSC2011/../hpcs2011_tutorial/pics/f_unoptimized.png copying images... [ 11%] cifarSC2011/../hpcs2011_tutorial/pics/f_optimized.png copying images... [ 13%] cifarSC2011/../hpcs2011_tutorial/pics/mlp.png copying images... [ 15%] cifarSC2011/../hpcs2011_tutorial/pics/conv.png copying images... [ 17%] cifarSC2011/../hpcs2011_tutorial/pics/multiple_graph.png copying images... [ 19%] crei2013/../hpcs2011_tutorial/pics/pipeline.png copying images... [ 21%] crei2013/./pics/logreg_pydotprint_prediction.png copying images... [ 23%] crei2013/./pics/logreg_pydotprint_predict.png copying images... [ 25%] crei2013/./pics/logreg_pydotprint_train.png copying images... [ 27%] crei2013/../hpcs2011_tutorial/pics/f_unoptimized.png copying images... [ 29%] crei2013/../hpcs2011_tutorial/pics/f_optimized.png copying images... [ 31%] extending/../hpcs2011_tutorial/pics/apply_node.png copying images... [ 33%] extending/apply.png copying images... [ 35%] extending/./pics/symbolic_graph_unopt.png copying images... [ 37%] extending/./pics/symbolic_graph_opt.png copying images... [ 39%] images/talk2010.png copying images... [ 41%] library/d3viz/index_files/index_10_0.png copying images... [ 43%] library/d3viz/index_files/index_24_0.png copying images... [ 45%] library/gpuarray/plot_fft.png copying images... [ 47%] library/tensor/plot_fft.png copying images... [ 49%] library/tensor/nnet/../../../images/blocksparse.png copying images... [ 50%] library/tensor/nnet/sigmoid_prec.png copying images... [ 52%] tutorial/bcast.png copying images... [ 54%] tutorial/conv_arithmetic_figures/numerical_no_padding_no_strides.gif copying images... [ 56%] tutorial/conv_arithmetic_figures/numerical_padding_strides.gif copying images... [ 58%] tutorial/conv_arithmetic_figures/no_padding_no_strides.gif copying images... [ 60%] tutorial/conv_arithmetic_figures/arbitrary_padding_no_strides.gif copying images... [ 62%] tutorial/conv_arithmetic_figures/same_padding_no_strides.gif copying images... [ 64%] tutorial/conv_arithmetic_figures/full_padding_no_strides.gif copying images... [ 66%] tutorial/conv_arithmetic_figures/no_padding_strides.gif copying images... [ 68%] tutorial/conv_arithmetic_figures/padding_strides.gif copying images... [ 70%] tutorial/conv_arithmetic_figures/padding_strides_odd.gif copying images... [ 72%] tutorial/conv_arithmetic_figures/no_padding_no_strides_transposed.gif copying images... [ 74%] tutorial/conv_arithmetic_figures/arbitrary_padding_no_strides_transposed.gif copying images... [ 76%] tutorial/conv_arithmetic_figures/same_padding_no_strides_transposed.gif copying images... [ 78%] tutorial/conv_arithmetic_figures/full_padding_no_strides_transposed.gif copying images... [ 80%] tutorial/conv_arithmetic_figures/no_padding_strides_transposed.gif copying images... [ 82%] tutorial/conv_arithmetic_figures/padding_strides_transposed.gif copying images... [ 84%] tutorial/conv_arithmetic_figures/padding_strides_odd_transposed.gif copying images... [ 86%] tutorial/conv_arithmetic_figures/dilation.gif copying images... [ 88%] tutorial/conv_arithmetic_figures/sep2D.jpg copying images... [ 90%] tutorial/logistic.png copying images... [ 92%] tutorial/dlogistic.png copying images... [ 94%] tutorial/./pics/logreg_pydotprint_prediction.png copying images... [ 96%] tutorial/./pics/logreg_pydotprint_predict.png copying images... [ 98%] tutorial/./pics/logreg_pydotprint_train.png copying images... [100%] tutorial/./pics/d3viz.png copying downloadable files... [ 9%] theano-short.bib copying downloadable files... [ 18%] theano-full.bib copying downloadable files... [ 27%] extending/extending_theano_solution_1.py copying downloadable files... [ 36%] omlw2014/omlw_presentation.pdf copying downloadable files... [ 45%] library/d3viz/index.ipynb copying downloadable files... [ 54%] library/d3viz/examples/mlp2.png copying downloadable files... [ 63%] library/d3viz/examples/mlp2.pdf copying downloadable files... [ 72%] tutorial/adding_solution_1.py copying downloadable files... [ 81%] tutorial/loop_solution_1.py copying downloadable files... [ 90%] tutorial/modes_solution_1.py copying downloadable files... [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, 128 warnings. The HTML pages are in .. Running Sphinx v1.8.4 building [mo]: targets for 0 po files that are out of date building [latex]: all documents updating environment: 181 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... [ 6%] citation reading sources... [ 6%] core_development_guide reading sources... [ 7%] crei2013/advanced_theano reading sources... [ 7%] crei2013/gpundarray reading sources... [ 8%] crei2013/index reading sources... [ 8%] crei2013/introduction reading sources... [ 9%] crei2013/theano reading sources... [ 9%] dev_start_guide reading sources... [ 10%] extending/cop reading sources... [ 11%] extending/ctype reading sources... [ 11%] extending/extending_faq reading sources... [ 12%] extending/extending_theano reading sources... [ 12%] extending/extending_theano_c reading sources... [ 13%] extending/extending_theano_gpu reading sources... [ 13%] extending/fibby reading sources... [ 14%] extending/graphstructures reading sources... [ 14%] extending/index reading sources... [ 15%] extending/inplace reading sources... [ 16%] extending/op reading sources... [ 16%] extending/optimization reading sources... [ 17%] extending/other_ops reading sources... [ 17%] extending/pipeline reading sources... [ 18%] extending/scan reading sources... [ 18%] extending/theano_vs_c reading sources... [ 19%] extending/tips reading sources... [ 19%] extending/type reading sources... [ 20%] extending/unittest reading sources... [ 20%] extending/using_params reading sources... [ 21%] faq reading sources... [ 22%] glossary reading sources... [ 22%] index reading sources... [ 23%] install reading sources... [ 23%] install_centos6 reading sources... [ 24%] install_macos reading sources... [ 24%] install_others reading sources... [ 25%] install_ubuntu reading sources... [ 25%] install_windows reading sources... [ 26%] internal/dev_start_guide reading sources... [ 27%] internal/how_to_release reading sources... [ 27%] internal/index reading sources... [ 28%] internal/metadocumentation reading sources... [ 28%] internal/python reading sources... [ 29%] internal/release reading sources... [ 29%] introduction reading sources... [ 30%] library/compile/debugmode reading sources... [ 30%] library/compile/function reading sources... [ 31%] library/compile/index reading sources... [ 32%] library/compile/io reading sources... [ 32%] library/compile/mode reading sources... [ 33%] library/compile/nanguardmode reading sources... [ 33%] library/compile/opfromgraph reading sources... [ 34%] library/compile/ops reading sources... [ 34%] library/compile/profilemode reading sources... [ 35%] library/compile/shared reading sources... [ 35%] library/config reading sources... [ 36%] library/d3viz/index reading sources... [ 37%] library/gof/fgraph reading sources... [ 37%] library/gof/graph reading sources... [ 38%] library/gof/index reading sources... [ 38%] library/gof/params_type reading sources... [ 39%] library/gof/toolbox reading sources... [ 39%] library/gof/type reading sources... [ 40%] library/gof/utils reading sources... [ 40%] library/gpuarray/ctc reading sources... [ 41%] library/gpuarray/dnn reading sources... [ 41%] library/gpuarray/extra reading sources... [ 42%] library/gpuarray/fft reading sources... [ 43%] library/gpuarray/index reading sources... [ 43%] library/gpuarray/linalg reading sources... [ 44%] library/gpuarray/op reading sources... [ 44%] library/gpuarray/type reading sources... [ 45%] library/gradient reading sources... [ 45%] library/index reading sources... [ 46%] library/misc/pkl_utils reading sources... [ 46%] library/printing reading sources... [ 47%] library/sandbox/index reading sources... [ 48%] library/sandbox/linalg reading sources... [ 48%] library/sandbox/neighbours reading sources... [ 49%] library/sandbox/rng_mrg reading sources... [ 49%] library/scalar/index reading sources... [ 50%] library/scan reading sources... [ 50%] library/sparse/index reading sources... [ 51%] library/sparse/sandbox reading sources... [ 51%] library/tensor/basic reading sources... [ 52%] library/tensor/elemwise reading sources... [ 53%] library/tensor/extra_ops reading sources... [ 53%] library/tensor/fft reading sources... [ 54%] library/tensor/index reading sources... [ 54%] library/tensor/io reading sources... [ 55%] library/tensor/nlinalg reading sources... [ 55%] library/tensor/nnet/blocksparse reading sources... [ 56%] library/tensor/nnet/bn reading sources... [ 56%] library/tensor/nnet/conv reading sources... [ 57%] library/tensor/nnet/ctc reading sources... [ 58%] library/tensor/nnet/index reading sources... [ 58%] library/tensor/nnet/neighbours reading sources... [ 59%] library/tensor/nnet/nnet reading sources... [ 59%] library/tensor/opt reading sources... [ 60%] library/tensor/raw_random reading sources... [ 60%] library/tensor/shared_randomstreams reading sources... [ 61%] library/tensor/signal/conv reading sources... [ 61%] library/tensor/signal/downsample reading sources... [ 62%] library/tensor/signal/index reading sources... [ 62%] library/tensor/signal/pool reading sources... [ 63%] library/tensor/slinalg reading sources... [ 64%] library/tensor/utils reading sources... [ 64%] library/tests reading sources... [ 65%] library/typed_list reading sources... [ 65%] links reading sources... [ 66%] nice_quotes reading sources... [ 66%] optimizations reading sources... [ 67%] proposals/complex_gradient reading sources... [ 67%] proposals/conditional reading sources... [ 68%] proposals/dp_optimization reading sources... [ 69%] proposals/graphical_models reading sources... [ 69%] proposals/index reading sources... [ 70%] proposals/intermediate_language reading sources... [ 70%] proposals/mongodb_cache reading sources... [ 71%] proposals/opt_patterns2 reading sources... [ 71%] proposals/pfunc reading sources... [ 72%] proposals/premerge reading sources... [ 72%] proposals/tensor_attributes reading sources... [ 73%] requirements reading sources... [ 74%] sandbox/ccodegen reading sources... [ 74%] sandbox/compilation reading sources... [ 75%] sandbox/debugging_with_stepmode reading sources... [ 75%] sandbox/elemwise_compiler reading sources... [ 76%] sandbox/function reading sources... [ 76%] sandbox/functional reading sources... [ 77%] sandbox/hosting reading sources... [ 77%] sandbox/how_to_make_ops reading sources... [ 78%] sandbox/index reading sources... [ 79%] sandbox/index2 reading sources... [ 79%] sandbox/interactive_debugger reading sources... [ 80%] sandbox/logistic_regression_example reading sources... [ 80%] sandbox/max_gotcha reading sources... [ 81%] sandbox/performance reading sources... [ 81%] sandbox/randomnumbers reading sources... [ 82%] sandbox/rethinkccodegen reading sources... [ 82%] sandbox/sandbox reading sources... [ 83%] sandbox/software reading sources... [ 83%] sandbox/sparse reading sources... [ 84%] sandbox/tensoroptools reading sources... [ 85%] troubleshooting reading sources... [ 85%] tutorial/adding reading sources... [ 86%] tutorial/aliasing reading sources... [ 86%] tutorial/broadcasting reading sources... [ 87%] tutorial/conditions reading sources... [ 87%] tutorial/conv_arithmetic reading sources... [ 88%] tutorial/debug_faq reading sources... [ 88%] tutorial/examples reading sources... [ 89%] tutorial/extending_theano reading sources... [ 90%] tutorial/extending_theano_c reading sources... [ 90%] tutorial/faq_tutorial reading sources... [ 91%] tutorial/gradients reading sources... [ 91%] tutorial/index reading sources... [ 92%] tutorial/loading_and_saving reading sources... [ 92%] tutorial/loop reading sources... [ 93%] tutorial/modes reading sources... [ 93%] tutorial/multi_cores reading sources... [ 94%] tutorial/nan_tutorial reading sources... [ 95%] tutorial/numpy reading sources... [ 95%] tutorial/printing_drawing reading sources... [ 96%] tutorial/profiling reading sources... [ 96%] tutorial/python reading sources... [ 97%] tutorial/shape_info reading sources... [ 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 doc/scripts/docgen.py:73: RemovedInSphinx20Warning: `sphinx.build_main()` has moved to `sphinx.cmd.build.build_main()`. ret = sphinx.build_main(['', '-b', builder] + extraopts + inopt) /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.DeepCopyOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Rebroadcast.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.Shape_i.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.SpecifyShape.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/compile/ops.py:docstring of theano.compile.ops.ViewOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnConvDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.DnnVersion.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/dnn.py:docstring of theano.gpuarray.dnn.GpuDnnPoolDesc.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAlloc.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuAllocEmpty.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuContiguous.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuEye.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuFromHost.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuJoin.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuReshape.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuSplit.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.GpuToGpu.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/basic_ops.py:docstring of theano.gpuarray.basic_ops.HostFromGpu.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradInputs.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorr3dMM_gradWeights.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradInputs.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuCorrMM_gradWeights.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuDot22.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemm.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemmBatch.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGemv.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/blas.py:docstring of theano.gpuarray.blas.GpuGer.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCPY.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuCAReduceCuda.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuElemwise.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfcinv.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/elemwise.py:docstring of theano.gpuarray.elemwise.GpuErfinv.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuAdvancedSubtensor1.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/subtensor.py:docstring of theano.gpuarray.subtensor.GpuSubtensor.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmax.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/nnet.py:docstring of theano.gpuarray.nnet.GpuSoftmaxWithBias.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/gpuarray/neighbours.py:docstring of theano.gpuarray.neighbours.GpuImages2Neibs.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/linalg/ops.py:docstring of theano.sandbox.linalg.ops.HintsOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.DotModulo.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:docstring of theano.sandbox.rng_mrg.mrg_uniform.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.ConstructSparseFromList.make_node:6: WARNING: Field list ends without a blank line; unexpected unindent. /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSC.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/sparse/basic.py:docstring of theano.sparse.basic.StructuredDotGradCSR.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.CAReduce.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.Elemwise.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/elemwise.py:docstring of theano.tensor.elemwise.MulWithoutZeros.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CpuContiguous.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.CumOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/extra_ops.py:docstring of theano.tensor.extra_ops.SearchsortedOp.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/io.py:docstring of theano.tensor.io.MPIRecv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/tensor/nnet/abstract_conv.py:docstring of theano.tensor.nnet.abstract_conv.BaseAbstractConv.do_constant_folding:1: WARNING: Inline emphasis start-string without end-string. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.FusionOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.InplaceElemwiseOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.ShapeOptimizer.add_requirements:3: WARNING: Unexpected indentation. /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.Assert.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/tensor/opt.py:docstring of theano.tensor.opt.MakeVector.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.GetItem.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Length.c_code:19: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:12: WARNING: Unknown target name: "py". /build/theano-1.0.3+dfsg/theano/typed_list/basic.py:docstring of theano.typed_list.basic.Reverse.c_code:19: WARNING: Unknown target name: "py". looking for now-outdated files... none found pickling environment... done checking consistency... done processing theano.tex...index NEWS introduction requirements install install_ubuntu install_macos install_windows install_centos6 install_others updating tutorial/index tutorial/python tutorial/numpy tutorial/adding tutorial/examples tutorial/gradients tutorial/conditions tutorial/loop tutorial/shape_info tutorial/broadcasting tutorial/sparse tutorial/using_gpu tutorial/using_multi_gpu tutorial/conv_arithmetic tutorial/modes tutorial/printing_drawing tutorial/debug_faq tutorial/nan_tutorial tutorial/profiling extending/graphstructures tutorial/loading_and_saving tutorial/aliasing tutorial/multi_cores tutorial/faq_tutorial extending/index extending/extending_theano extending/extending_theano_c extending/fibby extending/pipeline extending/theano_vs_c extending/type extending/op extending/inplace extending/other_ops extending/ctype extending/cop extending/using_params extending/extending_theano_gpu extending/optimization extending/tips extending/unittest extending/scan extending/extending_faq dev_start_guide optimizations library/index library/compile/index library/compile/shared library/compile/function library/compile/io library/compile/ops library/compile/mode library/compile/debugmode library/compile/nanguardmode library/config library/d3viz/index library/gof/index library/gof/graph library/gof/fgraph library/gof/toolbox library/gof/type library/gof/params_type library/gof/utils library/gpuarray/index library/gpuarray/op library/gpuarray/dnn library/gpuarray/fft library/gpuarray/type library/gpuarray/extra library/gpuarray/ctc library/gpuarray/linalg library/gradient library/misc/pkl_utils library/printing library/sandbox/index library/sandbox/linalg library/sandbox/neighbours library/sandbox/rng_mrg library/scalar/index library/scan library/sparse/index library/sparse/sandbox library/tensor/index library/tensor/basic library/tensor/nnet/index library/tensor/nnet/conv library/tensor/nnet/nnet library/tensor/nnet/neighbours library/tensor/nnet/bn library/tensor/nnet/blocksparse library/tensor/nnet/ctc library/tensor/raw_random library/tensor/shared_randomstreams library/tensor/signal/index library/tensor/signal/conv library/tensor/signal/pool library/tensor/signal/downsample library/tensor/utils library/tensor/elemwise library/tensor/extra_ops library/tensor/io library/tensor/opt library/tensor/slinalg library/tensor/nlinalg library/tensor/fft library/typed_list library/tests troubleshooting glossary links internal/index internal/release internal/dev_start_guide internal/metadocumentation internal/python internal/how_to_release acknowledgement LICENSE resolving references... writing... done copying images... [ 2%] images/talk2010.png copying images... [ 5%] tutorial/logistic.png copying images... [ 8%] tutorial/dlogistic.png copying images... [ 11%] tutorial/bcast.png copying images... [ 13%] tutorial/conv_arithmetic_figures/numerical_no_padding_no_strides.pdf copying images... [ 16%] tutorial/conv_arithmetic_figures/numerical_padding_strides.pdf copying images... [ 19%] tutorial/conv_arithmetic_figures/no_padding_no_strides.pdf copying images... [ 22%] tutorial/conv_arithmetic_figures/arbitrary_padding_no_strides.pdf copying images... [ 25%] tutorial/conv_arithmetic_figures/same_padding_no_strides.pdf copying images... [ 27%] tutorial/conv_arithmetic_figures/full_padding_no_strides.pdf copying images... [ 30%] tutorial/conv_arithmetic_figures/no_padding_strides.pdf copying images... [ 33%] tutorial/conv_arithmetic_figures/padding_strides.pdf copying images... [ 36%] tutorial/conv_arithmetic_figures/padding_strides_odd.pdf copying images... [ 38%] tutorial/conv_arithmetic_figures/no_padding_no_strides_transposed.pdf copying images... [ 41%] tutorial/conv_arithmetic_figures/arbitrary_padding_no_strides_transposed.pdf copying images... [ 44%] tutorial/conv_arithmetic_figures/same_padding_no_strides_transposed.pdf copying images... [ 47%] tutorial/conv_arithmetic_figures/full_padding_no_strides_transposed.pdf copying images... [ 50%] tutorial/conv_arithmetic_figures/no_padding_strides_transposed.pdf copying images... [ 52%] tutorial/conv_arithmetic_figures/padding_strides_transposed.pdf copying images... [ 55%] tutorial/conv_arithmetic_figures/padding_strides_odd_transposed.pdf copying images... [ 58%] tutorial/conv_arithmetic_figures/dilation.pdf copying images... [ 61%] tutorial/conv_arithmetic_figures/sep2D.jpg copying images... [ 63%] tutorial/./pics/logreg_pydotprint_prediction.png copying images... [ 66%] tutorial/./pics/logreg_pydotprint_predict.png copying images... [ 69%] tutorial/./pics/logreg_pydotprint_train.png copying images... [ 72%] tutorial/./pics/d3viz.png copying images... [ 75%] extending/apply.png copying images... [ 77%] extending/./pics/symbolic_graph_unopt.png copying images... [ 80%] extending/./pics/symbolic_graph_opt.png copying images... [ 83%] extending/../hpcs2011_tutorial/pics/apply_node.png copying images... [ 86%] library/d3viz/index_files/index_10_0.png copying images... [ 88%] library/d3viz/index_files/index_24_0.png copying images... [ 91%] library/gpuarray/plot_fft.png copying images... [ 94%] library/tensor/nnet/sigmoid_prec.png copying images... [ 97%] library/tensor/nnet/../../../images/blocksparse.png copying images... [100%] library/tensor/plot_fft.png copying TeX support files... done build succeeded, 128 warnings. The LaTeX files are in ../../../tmp/tmpvdg7sbe3. Run 'make' in that directory to run these through (pdf)latex (use `make latexpdf' here to do that automatically). make[2]: Entering directory '/tmp/tmpvdg7sbe3' latexmk -pdf -dvi- -ps- 'theano.tex' Latexmk: This is Latexmk, John Collins, 25 October 2018, version: 4.61. Rule 'pdflatex': Rules & subrules not known to be previously run: pdflatex Rule 'pdflatex': The following rules & subrules became out-of-date: 'pdflatex' ------------ Run number 1 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -recorder "theano.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.19 (TeX Live 2019/dev/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./theano.tex LaTeX2e <2018-12-01> (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/22 v1.8.3 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2018/09/03 v1.4i Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size11.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v3.2a <2019/01/15> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip-2001-04-09.sty)) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) Writing index file theano.idx (./theano.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map} <./theano_logo_allblue_200x46.png>] [2] [1] [2] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) Package Fancyhdr Warning: \headheight is too small (12.0pt): Make it at least 13.59999pt. We now make it that large for the rest of the document. This may cause the page layout to be inconsistent, however. [1] [2] Chapter 1. [3] [4 <./talk2010.png>] Chapter 2. LaTeX Warning: Hyper reference `install:install' on page 5 undefined on input l ine 231. [5] [6] Chapter 3. [7] [8] Chapter 4. LaTeX Warning: Hyper reference `install:install' on page 9 undefined on input l ine 258. LaTeX Warning: Hyper reference `introduction:introduction' on page 9 undefined on input line 261. LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 9 undefined on input line 264. LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 9 unde fined on input line 267. LaTeX Warning: Hyper reference `library/index:libdoc' on page 9 undefined on in put line 270. LaTeX Warning: Hyper reference `optimizations:optimizations' on page 9 undefine d on input line 276. LaTeX Warning: Hyper reference `extending/index:extending' on page 9 undefined on input line 279. LaTeX Warning: Hyper reference `dev_start_guide:dev-start-guide' on page 9 unde fined on input line 282. LaTeX Warning: Hyper reference `internal/index:internal' on page 9 undefined on input line 285. LaTeX Warning: Hyper reference `internal/release:release' on page 9 undefined o n input line 288. LaTeX Warning: Hyper reference `acknowledgement:acknowledgement' on page 9 unde fined on input line 291. [9] [10] Chapter 5. [11] [12] Chapter 6. [13] [14] LaTeX Warning: Hyper reference `optimizations:optimizations' on page 15 undefin ed on input line 512. LaTeX Warning: Hyper reference `LICENSE:license' on page 15 undefined on input line 519. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [15] LaTeX Warning: Hyper reference `install:install' on page 16 undefined on input line 602. LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 16 undefined o n input line 605. LaTeX Warning: Hyper reference `library/index:libdoc' on page 16 undefined on i nput line 609. LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 16 undefined o n input line 611. [16] [17] LaTeX Warning: Hyper reference `tutorial/multi_cores:tut-multi-cores' on page 1 8 undefined on input line 735. [18] LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 19 undefin ed on input line 823. LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc' on page 19 undefined on input line 834. [19] [20] LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 21 undefin ed on input line 982. LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc' on page 21 undefined on input line 993. [21] [22] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 23 und efined on input line 1125. LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 23 und efined on input line 1162. [23] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 24 und efined on input line 1204. [24] [25] LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 26 undefin ed on input line 1347. [26] LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc' on page 27 undefined on input line 1358. [27] [28] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 29 und efined on input line 1513. LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 29 und efined on input line 1550. [29] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 30 und efined on input line 1592. [30] [31] LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 32 undefin ed on input line 1782. [32] LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc' on page 33 undefined on input line 1793. [33] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 34 und efined on input line 1902. [34] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 35 und efined on input line 1939. LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 35 und efined on input line 1981. [35] [36] LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 37 undefin ed on input line 2092. LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc' on page 37 undefined on input line 2103. [37] [38] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 39 und efined on input line 2235. LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 39 und efined on input line 2272. [39] LaTeX Warning: Hyper reference `troubleshooting:troubleshooting' on page 40 und efined on input line 2314. [40] LaTeX Warning: Hyper reference `tutorial/using_gpu:testing-the-gpu' on page 41 undefined on input line 2378. LaTeX Warning: Hyper reference `updating:updating' on page 41 undefined on inpu t line 2381. [41] LaTeX Warning: Hyper reference `install:install' on page 42 undefined on input line 2493. LaTeX Warning: Hyper reference `glossary:glossary' on page 42 undefined on inpu t line 2495. [42] [43] [44] LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 45 unde fined on input line 2651. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 45 undefined on input line 2676. LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 45 un defined on input line 2687. [45] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable.eva l' on page 46 undefined on input line 2713. LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-broadcastabl e' on page 46 undefined on input line 2774. [46] Underfull \hbox (badness 10000) in paragraph at lines 2779--2780 []\T1/ptm/b/n/10.95 byte\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 bscalar, bvector, bmatrix, brow, bcol, btensor3, btensor4, Underfull \hbox (badness 10000) in paragraph at lines 2782--2783 []\T1/ptm/b/n/10.95 16-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 wsca lar, wvector, wmatrix, wrow, wcol, wtensor3, Underfull \hbox (badness 10000) in paragraph at lines 2785--2786 []\T1/ptm/b/n/10.95 32-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 isca lar, ivector, imatrix, irow, icol, itensor3, Underfull \hbox (badness 10000) in paragraph at lines 2788--2789 []\T1/ptm/b/n/10.95 64-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 lsca lar, lvector, lmatrix, lrow, lcol, ltensor3, Underfull \hbox (badness 10000) in paragraph at lines 2791--2792 []\T1/ptm/b/n/10.95 float\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 fscalar, fvector , fmatrix, frow, fcol, ftensor3, ftensor4, Underfull \hbox (badness 10000) in paragraph at lines 2794--2795 []\T1/ptm/b/n/10.95 double\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 dscalar, dvecto r, dmatrix, drow, dcol, dtensor3, dtensor4, Underfull \hbox (badness 10000) in paragraph at lines 2797--2798 []\T1/ptm/b/n/10.95 complex\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 cscalar, cvect or, cmatrix, crow, ccol, ctensor3, ctensor4, LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on page 47 undefined on input line 2802. LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-basic-tensor' on pa ge 47 undefined on input line 2834. [47] LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-elementwise' on page 48 undefined on input line 2857. [48 <./logistic.png>] LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-elementwise' on page 49 undefined on input line 2896. LaTeX Warning: Hyper reference `library/compile/io:function-inputs' on page 49 undefined on input line 2943. [49] LaTeX Warning: Hyper reference `library/compile/function:usingfunction' on page 50 undefined on input line 2978. LaTeX Warning: Hyper reference `library/compile/shared:libdoc-compile-shared' o n page 50 undefined on input line 2999. [50] LaTeX Warning: Hyper reference `tutorial/using_gpu:using-gpu' on page 51 undefi ned on input line 3059. [51] LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n_module.Function.copy' on page 52 undefined on input line 3101. [52] LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:libdoc-tens or-shared-randomstreams' on page 53 undefined on input line 3173. LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran dom' on page 53 undefined on input line 3174. LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran dom' on page 53 undefined on input line 3196. LaTeX Warning: Hyper reference `tutorial/examples:other-implementations' on pag e 53 undefined on input line 3197. [53] LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:theano.tens or.shared_randomstreams.RandomStreams' on page 54 undefined on input line 3280. LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:theano.sandbox.rng_mrg. MRG_RandomStreams' on page 54 undefined on input line 3281. [54] [55] LaTeX Warning: Hyper reference `library/tensor/raw_random:libdoc-tensor-raw-ran dom' on page 56 undefined on input line 3347. LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:libdoc-rng-mrg' on page 56 undefined on input line 3352. [56] [57] [58 <./dlogistic.png>] LaTeX Warning: Hyper reference `library/gradient:libdoc-gradient' on page 59 un defined on input line 3520. LaTeX Warning: Hyper reference `extending/index:extending' on page 59 undefined on input line 3523. LaTeX Warning: Hyper reference `library/gradient:theano.gradient.jacobian' on p age 59 undefined on input line 3532. LaTeX Warning: Hyper reference `tutorial/loop:tutloop' on page 59 undefined on input line 3546. [59] LaTeX Warning: Hyper reference `library/gradient:theano.gradient.hessian' on pa ge 60 undefined on input line 3581. [60] LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 61 undefine d on input line 3645. LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 61 undefine d on input line 3678. [61] [62] LaTeX Warning: Hyper reference `tutorial/debug_faq:test-values' on page 63 unde fined on input line 3812. [63] LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 64 undefined on input line 3866. [64] [65] Overfull \vbox (1.67064pt too high) detected at line 4001 [66] Overfull \vbox (3.27065pt too high) detected at line 4077 [67] [68] [69] Overfull \vbox (0.82033pt too high) detected at line 4223 [70] [71] [72] [73] LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 74 unde fined on input line 4456. [74 <./bcast.png>] [75] LaTeX Warning: Hyper reference `library/sparse/index:libdoc-sparse' on page 76 undefined on input line 4551. [76] LaTeX Warning: Hyper reference `library/sparse/index:libdoc-sparse' on page 77 undefined on input line 4605. [77] [78] LaTeX Warning: Hyper reference `library/sparse/index:libdoc-sparse' on page 79 undefined on input line 4707. LaTeX Warning: Hyper reference `install_ubuntu:gpu-linux' on page 79 undefined on input line 4765. LaTeX Warning: Hyper reference `install_macos:gpu-macos' on page 79 undefined o n input line 4765. LaTeX Warning: Hyper reference `install_windows:gpu-windows' on page 79 undefin ed on input line 4765. [79] LaTeX Warning: Hyper reference `library/index:theano.shared' on page 80 undefin ed on input line 4818. [80] LaTeX Warning: Hyper reference `tutorial/using_multi_gpu:tut-using-multi-gpu' o n page 81 undefined on input line 4879. [81] LaTeX Warning: Hyper reference `tutorial/aliasing:borrowfunction' on page 82 un defined on input line 4906. [82] LaTeX Warning: Hyper reference `tutorial/aliasing:aliasing' on page 83 undefine d on input line 5010. [83] LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 84 undefine d on input line 5079. [84] Underfull \hbox (badness 10000) in paragraph at lines 5130--5131 []\T1/ptm/m/n/10.95 Abstractions to com-pile low-level CUDA code from Python (\ T1/pcr/m/n/10.95 pycuda.driver. [85] [86] [87] LaTeX Warning: Hyper reference `tutorial/examples:example-other-random' on page 88 undefined on input line 5342. LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 88 undefin ed on input line 5357. [88] LaTeX Warning: Hyper reference `library/config:config.print_active_device' on p age 89 undefined on input line 5408. [89] [90] [91] [92 <./numerical_no_padding_no_strides.pdf>] [93] [94 <./numeric al_padding_strides.pdf>] [95 <./no_padding_no_strides.pdf>] [96] [97 <./arbitra ry_padding_no_strides.pdf>] [98 <./same_padding_no_strides.pdf>] [99] [100 <./f ull_padding_no_strides.pdf>] [101 <./no_padding_strides.pdf>] [102 <./padding_s trides.pdf>] [103 <./padding_strides_odd.pdf>] [104] [105] [106] [107] [108 <./ no_padding_no_strides_transposed.pdf>] [109 <./arbitrary_padding_no_strides_tra nsposed.pdf>] [110] [111 <./same_padding_no_strides_transposed.pdf>] [112] [113 <./full_padding_no_strides_transposed.pdf>] [114 <./no_padding_strides_tra nsposed.pdf>] LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship8' on page 115 undefined on input line 6403. LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship11' on pag e 115 undefined on input line 6404. [115] [116 <./padding_strides_transposed.pdf>] [117 <./padding_strides_odd_tran sposed.pdf>] [118 <./dilation.pdf>] [119] [120 <./sep2D.jpg>] LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 121 undefined on input line 6713. [121] LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 122 undefined on input line 6724. LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 122 und efined on input line 6727. LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 122 undef ined on input line 6739. [122] [123] Underfull \hbox (badness 10000) in paragraph at lines 6853--6856 [] LaTeX Warning: Hyper reference `library/compile/nanguardmode:nanguardmode' on p age 124 undefined on input line 6860. LaTeX Warning: Hyper reference `library/config:config.mode' on page 124 undefin ed on input line 6865. Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/phv/m/n/10.95 short Overfull \hbox (34.68462pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 FAST_COMPILE| Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 compile.mode.Mode(linker=\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10 .95 py\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , Overfull \hbox (8.40465pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 FAST_RUN| Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 compile.mode.Mode(linker=\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10 .95 cvm\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , Overfull \hbox (14.97464pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 DebugMode| LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 124 undefined on input line 6910. LaTeX Warning: Hyper reference `library/config:config.linker' on page 124 undef ined on input line 6920. Underfull \hbox (badness 10000) in paragraph at lines 7039--7039 []\T1/ptm/m/n/10.95 Nan-Guard- Underfull \hbox (badness 10000) in paragraph at lines 7039--7039 []\T1/ptm/m/n/10.95 VERY [124] LaTeX Warning: Hyper reference `library/compile/mode:libdoc-compile-mode' on pa ge 125 undefined on input line 7043. Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/phv/m/n/10.95 Com-pile Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/phv/m/n/10.95 Ex-e-cu-tion Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/ptm/m/n/10.95 o1 LaTeX Warning: Hyper reference `optimizations:optimizations' on page 125 undefi ned on input line 7141. [125] LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 12 6 undefined on input line 7184. LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on page 126 undefined on input line 7190. LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 126 u ndefined on input line 7194. Underfull \hbox (badness 10000) in paragraph at lines 7189--7195 []\T1/ptm/m/n/10.95 Theano pro-vides the func-tions \T1/pcr/m/n/10.95 theano.pr inting.pprint() \T1/ptm/m/n/10.95 and \T1/pcr/m/sl/10.95 theano.printing. Underfull \hbox (badness 7133) in paragraph at lines 7196--7203 \T1/ptm/b/n/10.95 Note: \T1/ptm/m/n/10.95 When print-ing Theano func-tions, th ey can some-times be hard to read. To Underfull \hbox (badness 10000) in paragraph at lines 7196--7203 \T1/ptm/m/n/10.95 help with this, you can dis-able some Theano op-ti-miza-tions by us-ing the Theano flag: [126] [127] Overfull \hbox (132.49107pt too wide) in paragraph at lines 7299--7300 [] [128] Overfull \hbox (132.49107pt too wide) in paragraph at lines 7308--7309 [] [129 <./logreg_pydotprint_prediction2.png>] Overfull \hbox (659.4564pt too wide) in paragraph at lines 7317--7318 [] [130 <./logreg_pydotprint_predict2.png>] LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 131 undefined on input line 7322. [131 <./logreg_pydotprint_train2.png>] LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 132 und efined on input line 7339. LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 132 und efined on input line 7344. [132 <./d3viz.png>] [133] Overfull \vbox (2.07271pt too high) detected at line 7485 [134] [135] [136] LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 137 undefined on input line 7617. LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on page 137 undefined on input line 7630. LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 137 undefined on input line 7633. LaTeX Warning: Hyper reference `library/printing:libdoc-printing' on page 137 u ndefined on input line 7635. LaTeX Warning: Hyper reference `library/config:config.mode' on page 137 undefin ed on input line 7642. LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 137 u ndefined on input line 7645. [137] Underfull \hbox (badness 10000) in paragraph at lines 7685--7687 []\T1/ptm/m/n/10.95 It is pos-si-ble to use this mode by pro-vid-ing the flag i n THEANO_FLAGS, such as: Underfull \hbox (badness 10000) in paragraph at lines 7685--7687 \T1/pcr/m/n/10.95 THEANO_FLAGS="float32,device=gpu,assert_no_cpu_op=\TS1/pcr/m/ n/10.95 '\T1/pcr/m/n/10.95 raise\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 " python test. [138] [139] Underfull \hbox (badness 10000) in paragraph at lines 7787--7792 \T1/ptm/b/n/10.95 Note: \T1/ptm/m/n/10.95 The Theano flags \T1/pcr/m/n/10.95 o ptimizer_including\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 optimizer_excluding \T1 /ptm/m/n/10.95 and Overfull \vbox (3.07274pt too high) detected at line 7844 [140] [141] LaTeX Warning: Hyper reference `library/tests:theano.tests.breakpoint.PdbBreakp oint' on page 142 undefined on input line 7927. LaTeX Warning: Hyper reference `library/tests:theano.tests.breakpoint.PdbBreakp oint' on page 142 undefined on input line 7928. LaTeX Warning: Hyper reference `library/compile/nanguardmode:nanguardmode' on p age 142 undefined on input line 7968. LaTeX Warning: Hyper reference `tutorial/nan_tutorial:allocempty' on page 142 u ndefined on input line 7970. [142] LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 14 3 undefined on input line 7975. LaTeX Warning: Hyper reference `tutorial/debug_faq:faq-monitormode' on page 143 undefined on input line 7980. [143] LaTeX Warning: Hyper reference `library/config:config.profile' on page 144 unde fined on input line 8029. LaTeX Warning: Hyper reference `library/config:config.profile_memory' on page 1 44 undefined on input line 8032. LaTeX Warning: Hyper reference `library/config:config.profile' on page 144 unde fined on input line 8032. LaTeX Warning: Hyper reference `library/config:config.profile_optimizer' on pag e 144 undefined on input line 8036. LaTeX Warning: Hyper reference `library/config:config.profile' on page 144 unde fined on input line 8037. Overfull \hbox (197.92802pt too wide) in paragraph at lines 8049--8049 [] Underfull \hbox (badness 10000) in paragraph at lines 8049--8049 Underfull \hbox (badness 10000) in paragraph at lines 8105--8106 []\T1/ptm/m/n/10.95 THEANO_FLAGS=optimizer_excluding=fusion:inplace,profile=Tru e python [144] [145] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 146 un defined on input line 8163. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 146 undefined on input line 8163. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 146 undef ined on input line 8164. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 146 und efined on input line 8168. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 146 un defined on input line 8187. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 146 undefined on input line 8187. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 146 undef ined on input line 8188. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 146 und efined on input line 8188. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 146 undefined on input line 8190. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 146 un defined on input line 8190. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 146 undef ined on input line 8191. [146 <./apply.png>] LaTeX Warning: Hyper reference `glossary:term-broadcasting' on page 147 undefin ed on input line 8243. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 147 un defined on input line 8266. LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 147 undefined on input line 8266. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 147 undef ined on input line 8266. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 147 undefined on input line 8266. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 147 und efined on input line 8267. LaTeX Warning: Hyper reference `glossary:term-graph' on page 147 undefined on i nput line 8274. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 147 undefined on input line 8275. [147] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef ined on input line 8281. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148 undefined on input line 8282. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 148 un defined on input line 8287. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef ined on input line 8288. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef ined on input line 8294. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148 undefined on input line 8298. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148 undefined on input line 8302. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 148 undef ined on input line 8313. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 148 undefined on input line 8316. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 148 un defined on input line 8316. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 148 und efined on input line 8330. LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on page 148 undefined on input line 8333. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 148 und efined on input line 8355. LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on page 148 undefined on input line 8356. LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-creation' on page 148 undefined on input line 8356. [148] LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 149 undefined on input line 8386. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 149 und efined on input line 8397. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un defined on input line 8404. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 149 und efined on input line 8415. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un defined on input line 8419. LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 149 undefined on input line 8431. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 149 undefined on input line 8437. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 149 undef ined on input line 8439. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 149 un defined on input line 8439. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 149 undef ined on input line 8441. [149] [150] LaTeX Warning: Hyper reference `tutorial/gradients:tutcomputinggrads' on page 1 51 undefined on input line 8532. LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 15 1 undefined on input line 8554. LaTeX Warning: Hyper reference `optimizations:optimizations' on page 151 undefi ned on input line 8554. [151] LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 152 undefined on input line 8575. Overfull \hbox (6.0pt too wide) in paragraph at lines 8594--8594 []| Overfull \hbox (157.20721pt too wide) in paragraph at lines 8594--8594 [][]| Overfull \hbox (6.0pt too wide) in paragraph at lines 8594--8594 []| Overfull \hbox (157.43991pt too wide) in paragraph at lines 8594--8594 [][]| Overfull \hbox (6.00545pt too wide) in paragraph at lines 8594--8595 [][] [152 <./symbolic_graph_unopt.png> <./symbolic_graph_opt.png>] [153] LaTeX Warning: Hyper reference `library/misc/pkl_utils:theano.misc.pkl_utils.du mp' on page 154 undefined on input line 8731. LaTeX Warning: Hyper reference `library/misc/pkl_utils:theano.misc.pkl_utils.lo ad' on page 154 undefined on input line 8731. [154] [155] [156] [157] LaTeX Warning: Hyper reference `library/gpuarray/type:libdoc-gpuarray-type' on page 158 undefined on input line 8996. [158] [159] LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 160 undef ined on input line 9086. [160] LaTeX Warning: Hyper reference `extending/extending_theano_c:extending-theano-c ' on page 161 undefined on input line 9207. LaTeX Warning: Hyper reference `tutorial/index:tutorial' on page 161 undefined on input line 9219. [161] LaTeX Warning: Hyper reference `dev_start_guide:dev-start-guide' on page 162 un defined on input line 9223. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 162 undef ined on input line 9244. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 162 und efined on input line 9245. LaTeX Warning: Hyper reference `extending/op:perform' on page 162 undefined on input line 9254. LaTeX Warning: Hyper reference `extending/inplace:views-and-inplace' on page 16 2 undefined on input line 9255. [162] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 163 un defined on input line 9273. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 163 undefined on input line 9273. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 163 undefined on input line 9274. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 163 undefined on input line 9276. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 163 un defined on input line 9276. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 163 un defined on input line 9277. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 163 undef ined on input line 9278. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 163 undefined on input line 9280. LaTeX Warning: Hyper reference `extending/op:op-contract' on page 163 undefined on input line 9290. [163 <./apply_node.png>] LaTeX Warning: Hyper reference `extending/op:make_node' on page 164 undefined o n input line 9340. LaTeX Warning: Hyper reference `extending/op:perform' on page 164 undefined on input line 9341. LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 164 undefined on input line 9341. LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 164 undefined on input line 9342. LaTeX Warning: Hyper reference `extending/op:make_node' on page 164 undefined o n input line 9345. LaTeX Warning: Hyper reference `extending/op:perform' on page 164 undefined on input line 9366. LaTeX Warning: Hyper reference `extending/op:make_node' on page 164 undefined o n input line 9371. [164] LaTeX Warning: Hyper reference `extending/op:perform' on page 165 undefined on input line 9395. LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 165 undefined on input line 9399. LaTeX Warning: Hyper reference `extending/extending_theano_c:extending-theano-c ' on page 165 undefined on input line 9401. LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 165 undefined on input line 9401. LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 165 undefined on input line 9405. LaTeX Warning: Hyper reference `extending/op:perform' on page 165 undefined on input line 9405. LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 165 undefined on input line 9436. LaTeX Warning: Hyper reference `extending/op:make_thunk' on page 165 undefined on input line 9439. LaTeX Warning: Hyper reference `extending/op:perform' on page 165 undefined on input line 9441. LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 165 undefined on input line 9441. LaTeX Warning: Hyper reference `extending/op:make_node' on page 165 undefined o n input line 9443. LaTeX Warning: Hyper reference `extending/op:make_node' on page 165 undefined o n input line 9444. LaTeX Warning: Hyper reference `extending/op:make_node' on page 165 undefined o n input line 9445. LaTeX Warning: Hyper reference `extending/op:__str__' on page 165 undefined on input line 9454. LaTeX Warning: Hyper reference `extending/op:__eq__' on page 165 undefined on i nput line 9457. LaTeX Warning: Hyper reference `extending/op:__hash__' on page 165 undefined on input line 9457. LaTeX Warning: Hyper reference `extending/op:__eq__' on page 165 undefined on i nput line 9462. [165] LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9465. LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9471. LaTeX Warning: Hyper reference `extending/op:__eq__' on page 166 undefined on i nput line 9472. LaTeX Warning: Hyper reference `extending/op:__hash__' on page 166 undefined on input line 9472. LaTeX Warning: Hyper reference `extending/op:__eq__' on page 166 undefined on i nput line 9473. LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9474. LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9475. LaTeX Warning: Hyper reference `extending/op:__hash__' on page 166 undefined on input line 9476. LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9477. LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9478. LaTeX Warning: Hyper reference `extending/op:__props__' on page 166 undefined o n input line 9479. LaTeX Warning: Hyper reference `extending/op:__str__' on page 166 undefined on input line 9479. LaTeX Warning: Hyper reference `extending/op:infer_shape' on page 166 undefined on input line 9482. LaTeX Warning: Hyper reference `extending/op:infer_shape' on page 166 undefined on input line 9487. LaTeX Warning: Hyper reference `extending/op:grad' on page 166 undefined on inp ut line 9493. LaTeX Warning: Hyper reference `extending/op:grad' on page 166 undefined on inp ut line 9506. LaTeX Warning: Hyper reference `extending/op:R_op' on page 166 undefined on inp ut line 9509. [166] Underfull \vbox (badness 10000) detected at line 9593 Overfull \vbox (2.47066pt too high) detected at line 9593 [167] [168] LaTeX Warning: Hyper reference `extending/op:__props__' on page 169 undefined o n input line 9684. [169] LaTeX Warning: Hyper reference `extending/op:__props__' on page 170 undefined o n input line 9720. LaTeX Warning: Hyper reference `extending/op:__eq__' on page 170 undefined on i nput line 9721. LaTeX Warning: Hyper reference `extending/op:__hash__' on page 170 undefined on input line 9721. LaTeX Warning: Hyper reference `extending/op:__str__' on page 170 undefined on input line 9722. [170] [171] LaTeX Warning: Hyper reference `extending/unittest:validating-grad' on page 172 undefined on input line 9839. Underfull \hbox (badness 10000) in paragraph at lines 9857--9861 \T1/pcr/m/n/10.95 RopLop_checker.check_rop_lop() \T1/ptm/m/n/10.95 and \T1/pcr/ m/n/10.95 RopLop_checker.check_nondiff_rop()\T1/ptm/m/n/10.95 . [172] [173] LaTeX Warning: Hyper reference `extending/unittest:random-value-in-tests' on pa ge 174 undefined on input line 9984. LaTeX Warning: Hyper reference `extending/op:infer_shape' on page 174 undefined on input line 9997. [174] LaTeX Warning: Hyper reference `dev_start_guide:quality-contributions' on page 175 undefined on input line 10076. [175] Underfull \hbox (badness 10000) in paragraph at lines 10089--10094 []\T1/ptm/m/n/10.95 You can tell Nan-Guard-Mode to do not check a vari-able wit h: \T1/pcr/m/n/10.95 variable.tag. LaTeX Warning: Hyper reference `extending/index:extending' on page 176 undefine d on input line 10099. LaTeX Warning: Hyper reference `extending/other_ops:other-ops' on page 176 unde fined on input line 10101. LaTeX Warning: Hyper reference `extending/other_ops:scalar-ops' on page 176 und efined on input line 10105. LaTeX Warning: Hyper reference `extending/other_ops:scipy-ops' on page 176 unde fined on input line 10108. LaTeX Warning: Hyper reference `extending/other_ops:sparse-ops' on page 176 und efined on input line 10111. LaTeX Warning: Hyper reference `extending/other_ops:random-ops' on page 176 und efined on input line 10114. LaTeX Warning: Hyper reference `extending/other_ops:openmp-ops' on page 176 und efined on input line 10117. LaTeX Warning: Hyper reference `extending/other_ops:numba-ops' on page 176 unde fined on input line 10120. LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on page 176 undefined on input line 10131. [176] [177] [178] Underfull \hbox (badness 10000) in paragraph at lines 10366--10369 \T1/ptm/m/n/10.95 NPY_ARRAY_F_CONTIGUOUS, NPY_ARRAY_OWNDATA, NPY_ARRAY_ALIGNED, [179] LaTeX Warning: Hyper reference `extending/cop:cop' on page 180 undefined on inp ut line 10456. LaTeX Warning: Hyper reference `extending/cop:Op.c_libraries' on page 180 undef ined on input line 10460. LaTeX Warning: Hyper reference `extending/cop:Op.c_lib_dirs' on page 180 undefi ned on input line 10460. LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cleanup' on page 180 un defined on input line 10464. LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code' on page 180 undef ined on input line 10468. LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_apply' on page 180 undefined on input line 10468. LaTeX Warning: Hyper reference `extending/cop:Op.c_compile_args' on page 180 un defined on input line 10473. LaTeX Warning: Hyper reference `extending/cop:Op.c_no_compile_args' on page 180 undefined on input line 10474. [180] LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 181 undefined on input line 10479. LaTeX Warning: Hyper reference `extending/cop:Op.c_support_code' on page 181 un defined on input line 10480. LaTeX Warning: Hyper reference `extending/cop:Op.c_support_code_apply' on page 181 undefined on input line 10480. LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cache_version' on page 181 undefined on input line 10481. Underfull \hbox (badness 10000) in paragraph at lines 10479--10484 []\T1/ptm/m/n/10.95 This sec-tion de-scribes the meth-ods \T1/pcr/m/sl/10.95 Op .c_code()\T1/ptm/m/n/10.95 , \T1/pcr/m/sl/10.95 Op.c_support_code()\T1/ptm/m/n/ 10.95 , \T1/pcr/m/sl/10.95 Op. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 181 un defined on input line 10490. [181] [182] Overfull \vbox (2.50832pt too high) detected at line 10740 [183] Underfull \vbox (badness 10000) detected at line 10740 Overfull \vbox (2.47066pt too high) detected at line 10740 [184] Overfull \vbox (1.72316pt too high) detected at line 10893 [185] Underfull \vbox (badness 10000) detected at line 10893 Overfull \vbox (2.47066pt too high) detected at line 10893 [186] LaTeX Warning: Hyper reference `extending/cop:Op' on page 187 undefined on inpu t line 10899. [187] LaTeX Warning: Hyper reference `extending/cop:Op.c_code_cache_version' on page 188 undefined on input line 10915. [188] Underfull \vbox (badness 10000) detected at line 11032 Overfull \vbox (2.47066pt too high) detected at line 11032 [189] LaTeX Warning: Hyper reference `extending/cop:Op' on page 190 undefined on inpu t line 11043. [190] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 191 un defined on input line 11122. Underfull \hbox (badness 10000) in paragraph at lines 11155--11158 []\T1/ptm/m/n/10.95 In the same way, the macros \T1/pcr/m/n/10.95 DTYPE_OUTPUT_ {i}\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 ITEMSIZE_OUTPUT_{i} \T1/ptm/m/n/10.95 and [191] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 192 un defined on input line 11204. LaTeX Warning: Hyper reference `extending/other_ops:alternate-theano-types' on page 192 undefined on input line 11263. [192] [193] [194] [195] LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 196 undefined on input line 11433. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 196 undefined on input line 11438. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 196 undefined on input line 11445. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 196 un defined on input line 11458. LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraph' on page 1 96 undefined on input line 11459. LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 19 6 undefined on input line 11463. LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on page 196 undefined on input line 11465. LaTeX Warning: Hyper reference `glossary:term-optimizer' on page 196 undefined on input line 11472. LaTeX Warning: Hyper reference `glossary:term-mode' on page 196 undefined on in put line 11473. LaTeX Warning: Hyper reference `glossary:term-linker' on page 196 undefined on input line 11482. [196] LaTeX Warning: Hyper reference `library/config:config.compiledir' on page 197 u ndefined on input line 11515. LaTeX Warning: Hyper reference `library/config:config.base_compiledir' on page 197 undefined on input line 11516. LaTeX Warning: Hyper reference `library/config:module-config' on page 197 undef ined on input line 11517. [197] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Type' on page 198 undefined on input line 11612. [198] LaTeX Warning: Hyper reference `glossary:term-variable' on page 199 undefined o n input line 11706. [199] LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 200 und efined on input line 11844. [200] LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 20 1 undefined on input line 11930. [201] [202] Overfull \vbox (10.92513pt too high) detected at line 12084 [203] [204] LaTeX Warning: Hyper reference `extending/inplace:views-and-inplace' on page 20 5 undefined on input line 12171. LaTeX Warning: Hyper reference `extending/cop:cop' on page 205 undefined on inp ut line 12178. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 205 undef ined on input line 12179. LaTeX Warning: Hyper reference `extending/inplace:views-and-inplace' on page 20 5 undefined on input line 12192. [205] LaTeX Warning: Hyper reference `extending/op:perform' on page 206 undefined on input line 12298. LaTeX Warning: Hyper reference `extending/op:make_node' on page 206 undefined o n input line 12309. [206] LaTeX Warning: Hyper reference `extending/op:perform' on page 207 undefined on input line 12399. [207] LaTeX Warning: Hyper reference `library/gradient:theano.gradient.grad_undefined ' on page 208 undefined on input line 12434. LaTeX Warning: Hyper reference `library/gradient:theano.gradient.grad_not_imple mented' on page 208 undefined on input line 12435. [208] Underfull \hbox (badness 10000) in paragraph at lines 12514--12521 []\T1/ptm/m/n/10.95 If the out-put list of the op is $\OT1/cmr/m/n/10.95 [\OML/ cmm/m/it/10.95 f[]; :::f[]\OT1/cmr/m/n/10.95 ]$\T1/ptm/m/n/10.95 , then the lis t \T1/pcr/m/n/10.95 output_gradients \T1/ptm/m/n/10.95 is LaTeX Warning: Hyper reference `extending/op:grad' on page 209 undefined on inp ut line 12522. LaTeX Warning: Hyper reference `extending/op:grad' on page 209 undefined on inp ut line 12526. [209] Underfull \hbox (badness 10000) in paragraph at lines 12618--12623 []\T1/ptm/m/n/10.95 The grad method Underfull \hbox (badness 10000) in paragraph at lines 12627--12632 []\T1/ptm/m/n/10.95 If [210] LaTeX Warning: Hyper reference `extending/op:grad' on page 211 undefined on inp ut line 12724. LaTeX Warning: Hyper reference `extending/op:R_op' on page 211 undefined on inp ut line 12724. LaTeX Warning: Hyper reference `extending/op:R_op' on page 211 undefined on inp ut line 12734. LaTeX Warning: Hyper reference `library/gradient:r-op-list' on page 211 undefin ed on input line 12736. [211] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 212 undef ined on input line 12811. [212] LaTeX Warning: Hyper reference `extending/graphstructures:constant' on page 213 undefined on input line 12870. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 213 undefined on input line 12871. [213] [214] LaTeX Warning: Hyper reference `glossary:term-view' on page 215 undefined on in put line 12968. LaTeX Warning: Hyper reference `glossary:term-inplace' on page 215 undefined on input line 12969. Overfull \vbox (0.70735pt too high) detected at line 13035 [215] LaTeX Warning: Hyper reference `glossary:term-pure' on page 216 undefined on in put line 13091. [216] LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 21 7 undefined on input line 13145. [217] [218] LaTeX Warning: Hyper reference `tutorial/sparse:tutsparse' on page 219 undefine d on input line 13230. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.Cast' on page 219 undefined on input line 13250. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.Ensure SortedIndices' on page 219 undefined on input line 13256. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.Remove 0' on page 219 undefined on input line 13260. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.clean' on page 219 undefined on input line 13265. LaTeX Warning: Hyper reference `tutorial/sparse:tutsparse-gradient' on page 219 undefined on input line 13271. [219] LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_pr operties' on page 220 undefined on input line 13290. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_da ta' on page 220 undefined on input line 13291. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_in dices' on page 220 undefined on input line 13292. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_in dptr' on page 220 undefined on input line 13293. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_sh ape' on page 220 undefined on input line 13294. Underfull \hbox (badness 6412) in paragraph at lines 13289--13296 []\T1/ptm/m/n/10.95 You can ex-tract the 4 fields with \T1/pcr/m/sl/10.95 thean o.sparse.basic.csm_properties()\T1/ptm/m/n/10.95 . You LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.tests.test_b asic.sparse_random_inputs' on page 220 undefined on input line 13306. [220] LaTeX Warning: Hyper reference `library/typed_list:libdoc-typed-list' on page 2 21 undefined on input line 13403. [221] LaTeX Warning: Hyper reference `library/scalar/index:libdoc-scalar' on page 222 undefined on input line 13409. LaTeX Warning: Hyper reference `extending/other_ops:sparse-ops' on page 222 und efined on input line 13414. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Generic' on pa ge 222 undefined on input line 13420. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.CDataType' on page 222 undefined on input line 13425. LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 222 und efined on input line 13434. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.Type' on page 222 undefined on input line 13469. [222] LaTeX Warning: Hyper reference `extending/graphstructures:type' on page 223 und efined on input line 13568. [223] LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 224 undefined on input line 13615. [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 13781--13790 []\T1/ptm/m/n/10.95 The rest of the code is not ab-so-lutely nec-es-sary and it is ba-si-cally ^^Pgood prac-tice^^Q. [226] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 227 undef ined on input line 13828. [227] LaTeX Warning: Hyper reference `glossary:term-linker' on page 228 undefined on input line 13919. [228] LaTeX Warning: Hyper reference `tutorial/aliasing:aliasing' on page 229 undefin ed on input line 13984. [229] [230] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 231 undef ined on input line 14051. LaTeX Warning: Hyper reference `extending/cop:Op.get_params' on page 231 undefi ned on input line 14090. [231] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 232 undef ined on input line 14216. LaTeX Warning: Hyper reference `extending/cop:Op.get_params' on page 232 undefi ned on input line 14245. [232] LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 233 undef ined on input line 14256. LaTeX Warning: Hyper reference `extending/graphstructures:op' on page 233 undef ined on input line 14266. LaTeX Warning: Hyper reference `extending/extending_theano_c:c_support_code' on page 233 undefined on input line 14266. LaTeX Warning: Hyper reference `extending/extending_theano_c:c_support_code' on page 233 undefined on input line 14283. LaTeX Warning: Hyper reference `extending/extending_theano_c:c_support_code_app ly' on page 233 undefined on input line 14284. LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi on' on page 233 undefined on input line 14336. [233] LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_struct' on page 23 4 undefined on input line 14367. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 234 un defined on input line 14404. [234] [235] [236] LaTeX Warning: Hyper reference `extending/type:PureType.filter' on page 237 und efined on input line 14565. LaTeX Warning: Hyper reference `extending/type:PureType.__eq__' on page 237 und efined on input line 14568. LaTeX Warning: Hyper reference `extending/type:PureType.__hash__' on page 237 u ndefined on input line 14571. LaTeX Warning: Hyper reference `extending/type:PureType.values_eq' on page 237 undefined on input line 14574. LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_declare' on page 237 undefined on input line 14582. LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_init' on page 237 undefined on input line 14585. LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_extract' on page 237 undefined on input line 14588. LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_cleanup' on page 237 undefined on input line 14591. LaTeX Warning: Hyper reference `extending/ctype:CLinkerType.c_headers' on page 237 undefined on input line 14596. LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type. ParamsType' on page 237 undefined on input line 14606. LaTeX Warning: Hyper reference `library/gof/params_type:libdoc-gof-params-type' on page 237 undefined on input line 14608. [237] LaTeX Warning: Hyper reference `extending/op:perform' on page 238 undefined on input line 14645. LaTeX Warning: Hyper reference `extending/cop:Op.c_code' on page 238 undefined on input line 14656. LaTeX Warning: Hyper reference `extending/cop:Op.c_init_code_struct' on page 23 8 undefined on input line 14657. [238] Overfull \vbox (2.923pt too high) detected at line 14767 [239] LaTeX Warning: Hyper reference `tutorial/using_gpu:gpuarray' on page 240 undefi ned on input line 14773. LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on page 240 undefined on input line 14779. LaTeX Warning: Hyper reference `extending/extending_theano_c:extending-theano-c ' on page 240 undefined on input line 14779. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.i nfer_context_name' on page 240 undefined on input line 14797. [240] LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.a s_gpuarray_variable' on page 241 undefined on input line 14814. Underfull \hbox (badness 10000) in paragraph at lines 14814--14819 []\T1/ptm/m/n/10.95 Also note that \T1/pcr/m/sl/10.95 theano.gpuarray.basic_ops .as_gpuarray_variable() \T1/ptm/m/n/10.95 takes LaTeX Warning: Hyper reference `extending/using_params:extending-op-params' on page 241 undefined on input line 14847. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G puFromHost' on page 241 undefined on input line 14857. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G puEye' on page 241 undefined on input line 14857. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G puKernelBase' on page 241 undefined on input line 14865. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.C GpuKernelBase' on page 241 undefined on input line 14865. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.G puKernelBase' on page 241 undefined on input line 14868. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.basic_ops.K ernel' on page 241 undefined on input line 14869. [241] LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code' on page 24 2 undefined on input line 14924. [242] LaTeX Warning: Hyper reference `library/gpuarray/extra:module-theano.gpuarray.f p16_help' on page 243 undefined on input line 14965. LaTeX Warning: Hyper reference `library/gpuarray/extra:theano.gpuarray.fp16_hel p.load_w' on page 243 undefined on input line 14968. LaTeX Warning: Hyper reference `library/gpuarray/extra:theano.gpuarray.fp16_hel p.write_w' on page 243 undefined on input line 14969. LaTeX Warning: Hyper reference `library/gpuarray/extra:theano.gpuarray.fp16_hel p.work_dtype' on page 243 undefined on input line 14970. [243] [244] Underfull \vbox (badness 10000) detected at line 15148 Overfull \vbox (2.47066pt too high) detected at line 15148 [245] [246] [247] Underfull \vbox (badness 10000) detected at line 15256 [248] [249] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 250 un defined on input line 15334. LaTeX Warning: Hyper reference `extending/optimization:navigator' on page 250 u ndefined on input line 15336. LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on page 250 undefined on input line 15369. Underfull \hbox (badness 10000) in paragraph at lines 15380--15382 []\T1/ptm/m/it/10.95 Default: \T1/ptm/m/n/10.95 this is de-fined by Op-ti-mizer as \T1/pcr/m/n/10.95 add_requirement(fgraph); [250] LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 251 un defined on input line 15403. [251] LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeature' on page 252 undefined on input line 15462. LaTeX Warning: Hyper reference `library/gof/toolbox:libdoc-gof-toolbox' on page 252 undefined on input line 15463. LaTeX Warning: Hyper reference `library/gof/fgraph:libdoc-gof-fgraphfeaturelist ' on page 252 undefined on input line 15471. LaTeX Warning: Hyper reference `extending/graphstructures:variable' on page 252 undefined on input line 15487. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 252 un defined on input line 15488. [252] Overfull \vbox (0.72308pt too high) detected at line 15585 [253] LaTeX Warning: Hyper reference `extending/optimization:navigator' on page 254 u ndefined on input line 15599. LaTeX Warning: Hyper reference `extending/optimization:navigator' on page 254 u ndefined on input line 15599. LaTeX Warning: Hyper reference `extending/graphstructures:apply' on page 254 un defined on input line 15627. LaTeX Warning: Hyper reference `extending/optimization:PatternSub' on page 254 undefined on input line 15648. [254] LaTeX Warning: Hyper reference `extending/optimization:PatternSub' on page 255 undefined on input line 15687. [255] [256] LaTeX Warning: Hyper reference `extending/optimization:optdb-structure' on page 257 undefined on input line 15843. [257] LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 258 u ndefined on input line 16008. [258] Underfull \hbox (badness 10000) in paragraph at lines 16041--16042 []\T1/pcr/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compil ing): LaTeX Warning: Hyper reference `library/config:config.profile_optimizer' on pag e 259 undefined on input line 16062. [259] Underfull \vbox (badness 10000) detected at line 16252 Underfull \vbox (badness 10000) detected at line 16252 [260] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [261] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [262] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [263] [264] Underfull \vbox (badness 10000) detected at line 16378 Overfull \vbox (9.22032pt too high) detected at line 16378 [265] Underfull \hbox (badness 10000) in paragraph at lines 16382--16388 []\T1/pcr/m/n/10.95 0.751816s - (\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 canonica lize\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10. 95 EquilibriumOptimizer\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , 4) - 0. [266] [267] LaTeX Warning: Hyper reference `glossary:term-elementwise' on page 268 undefine d on input line 16483. [268] [269] [270] [271] [272] LaTeX Warning: Hyper reference `library/config:config.mode' on page 273 undefin ed on input line 16823. LaTeX Warning: Hyper reference `library/config:module-config' on page 273 undef ined on input line 16824. LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 273 undefined on input line 16826. [273] LaTeX Warning: Hyper reference `library/config:module-config' on page 274 undef ined on input line 16883. [274] [275] [276] [277] LaTeX Warning: Hyper reference `extending/extending_theano:extending-theano' on page 278 undefined on input line 17140. LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 278 undefined on input line 17143. LaTeX Warning: Hyper reference `extending/scan:scan-internals-optimizations' on page 278 undefined on input line 17147. LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 27 8 undefined on input line 17155. [278] Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Type of Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 scan Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 in-ner in-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 in-ner out-put Underfull \hbox (badness 6910) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 at timestep \T1/phv/m/sl/10.95 t Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ing outer Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ing ar-gu- Underfull \hbox (badness 7777) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ment of the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/sl/10.95 theano.scan() Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 In-di-vid-ual se- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurring Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Singly- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 6157) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 (value at Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 at pre-vi-ous Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 5652) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 mul-ti-ple Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-puts Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 5652) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put val-ues Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 mul-ti-ple fu-ture Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion [279] [280] [281] [282] LaTeX Warning: Hyper reference `extending/op:op-contract' on page 283 undefined on input line 17562. LaTeX Warning: Hyper reference `extending/type:type-contract' on page 283 undef ined on input line 17562. LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 283 und efined on input line 17564. LaTeX Warning: Hyper reference `extending/optimization:optdb' on page 283 undef ined on input line 17570. LaTeX Warning: Hyper reference `extending/op:op-contract' on page 283 undefined on input line 17577. LaTeX Warning: Hyper reference `tutorial/modes:using-debugmode' on page 283 und efined on input line 17578. [283] LaTeX Warning: Hyper reference `index:theano-community' on page 284 undefined o n input line 17601. [284] LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 285 undefi ned on input line 17663. LaTeX Warning: Hyper reference `internal/metadocumentation:metadocumentation-ni ghtly-build' on page 285 undefined on input line 17669. LaTeX Warning: Hyper reference `dev_start_guide:vim-pep8' on page 285 undefined on input line 17685. LaTeX Warning: Hyper reference `dev_start_guide:emacs-pep8' on page 285 undefin ed on input line 17685. [285] [286] [287] LaTeX Warning: Hyper reference `internal/metadocumentation:metadocumentation' o n page 288 undefined on input line 17884. [288] LaTeX Warning: Hyper reference `library/tensor/elemwise:theano.tensor.elemwise. Elemwise' on page 289 undefined on input line 17954. [289] LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 290 undefi ned on input line 18082. LaTeX Warning: Hyper reference `dev_start_guide:dev-workflow' on page 290 undef ined on input line 18104. [290] [291] LaTeX Warning: Hyper reference `dev_start_guide:quality-contributions' on page 292 undefined on input line 18193. [292] [293] LaTeX Warning: Hyper reference `optimizations:term-merge' on page 294 undefined on input line 18334. LaTeX Warning: Hyper reference `optimizations:term-add-canonicalization' on pag e 294 undefined on input line 18334. LaTeX Warning: Hyper reference `optimizations:term-inplace-elemwise' on page 29 4 undefined on input line 18337. LaTeX Warning: Hyper reference `optimizations:term-constant-folding' on page 29 4 undefined on input line 18340. LaTeX Warning: Hyper reference `extending/optimization:optimization' on page 29 4 undefined on input line 18351. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18369. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18369. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18621. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd) LaTeX Warning: Hyper reference `optimizations:term-merge' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-constant-folding' on page 29 4 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-gpu-transfer' on page 294 un defined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-shape-promotion' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-fill-cut' on page 294 undefi ned on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inc-subtensor-serialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-reshape-chain' on page 294 u ndefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-constant-elimination' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-add-canonicalization' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-mul-canonicalization' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-dot22' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-sparse-dot' on page 294 unde fined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-sum-scalar-mul' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-neg-neg' on page 294 undefin ed on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-neg-div-neg' on page 294 und efined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-add-specialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-mul-specialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-pow-specialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inplace-setsubtensor' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-gemm' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inplace-elemwise' on page 29 4 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inplace-random' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-elemwise-fusion' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-local-log-softmax' on page 2 94 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-local-remove-all-assert' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:term-merge' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-constant-folding' on page 29 4 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-gpu-transfer' on page 294 un defined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-shape-promotion' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-fill-cut' on page 294 undefi ned on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inc-subtensor-serialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-reshape-chain' on page 294 u ndefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-constant-elimination' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-add-canonicalization' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-mul-canonicalization' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-dot22' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-sparse-dot' on page 294 unde fined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-sum-scalar-mul' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-neg-neg' on page 294 undefin ed on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-neg-div-neg' on page 294 und efined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-add-specialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-mul-specialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-pow-specialization' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inplace-setsubtensor' on pag e 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-gemm' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inplace-elemwise' on page 29 4 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-inplace-random' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-elemwise-fusion' on page 294 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-local-log-softmax' on page 2 94 undefined on input line 18621. LaTeX Warning: Hyper reference `optimizations:term-local-remove-all-assert' on page 294 undefined on input line 18621. [294] LaTeX Warning: Hyper reference `glossary:term-apply' on page 295 undefined on i nput line 18632. [295] Underfull \hbox (badness 10000) in paragraph at lines 18671--18672 []\T1/pcr/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) -> Underfull \hbox (badness 10000) in paragraph at lines 18675--18677 []\T1/ptm/m/n/10.95 This op-ti-mizes graphs like \T1/pcr/m/n/10.95 reshape(resh ape(x, shape1), shape2) \T1/ptm/m/n/10.95 -> LaTeX Warning: Hyper reference `optimizations:term-gemm' on page 296 undefined on input line 18706. Underfull \hbox (badness 10000) in paragraph at lines 18717--18719 []\T1/ptm/m/n/10.95 This op-ti-mizes graphs like \T1/pcr/m/n/10.95 sum(scalar * tensor) \T1/ptm/m/n/10.95 -> \T1/pcr/m/n/10.95 scalar * [296] [297] LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval ue.shared_constructor' on page 298 undefined on input line 18864. LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval ue.shared' on page 298 undefined on input line 18866. [298] Underfull \hbox (badness 10000) in paragraph at lines 18883--18891 []\T1/ptm/m/n/10.95 By de-fault, re-turn a copy of the data. If \T1/pcr/m/n/10. 95 borrow=True \T1/ptm/m/n/10.95 (and LaTeX Warning: Hyper reference `glossary:term-type' on page 299 undefined on in put line 18923. Underfull \hbox (badness 10000) in paragraph at lines 18962--18962 []\T1/ptm/m/it/10.95 value\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 strict=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/ 10.95 al- LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval ue.shared_constructor' on page 299 undefined on input line 18969. [299] LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval ue.shared' on page 300 undefined on input line 19005. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.function' on page 300 undefined on input line 19024. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.In' on page 300 undefined on input line 19040. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.Out' on page 300 undefined on input line 19040. LaTeX Warning: Hyper reference `tutorial/examples:basictutexamples' on page 300 undefined on input line 19041. LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 300 undefin ed on input line 19041. [300] Underfull \hbox (badness 7238) in paragraph at lines 19138--19138 []\T1/ptm/m/it/10.95 self\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 vari-able\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 value=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 up-date=None\T1/ptm/m/n/10.9 5 , \T1/ptm/m/it/10.95 mu-ta-ble=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 mode=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 up-dates=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 givens=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 no_default _updates=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 ac-cept_inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 build_strict=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 al-l ow_input_downcast=None\T1/ptm/m/n/10.95 , LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n_module.Function' on page 301 undefined on input line 19183. [301] Underfull \hbox (badness 10000) in paragraph at lines 19187--19190 []\T1/pcr/b/n/10.95 params \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 list of either Variable or In instances, but Underfull \hbox (badness 10000) in paragraph at lines 19198--19200 []\T1/pcr/b/n/10.95 updates \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 iterable over pairs (shared_variable, Underfull \hbox (badness 8019) in paragraph at lines 19202--19206 []\T1/pcr/b/n/10.95 givens \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 iterable over pairs (Var1, Var2) of Variables. Underfull \hbox (badness 10000) in paragraph at lines 19202--19206 \T1/pcr/m/sl/10.95 List, tuple or dict. The Var1 and Var2 in each pair [302] LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n_module.Function' on page 303 undefined on input line 19252. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.In' on page 303 undefined on input line 19262. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.Out' on page 303 undefined on input line 19264. LaTeX Warning: Hyper reference `library/config::doc' on page 303 undefined on i nput line 19268. Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 []\T1/ptm/m/it/10.95 filename\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-puts\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 no_default_updates=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 ac- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 cept_inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nam e=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 re-build_strict=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 a l- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 low_input_downcast=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 pro- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 file=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 on_unused_in put=None\T1/ptm/m/n/10.95 , [303] Underfull \hbox (badness 10000) in paragraph at lines 19334--19334 []\T1/ptm/m/it/10.95 fn\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-put_storage\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 19334--19334 \T1/ptm/m/it/10.95 de-faults\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-pack_sing le\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- [304] [305] Underfull \hbox (badness 5161) in paragraph at lines 19497--19503 []\T1/ptm/m/n/10.95 input. If up-date is`` [306] [307] [308] [309] [310] LaTeX Warning: Hyper reference `library/compile/ops:theano.compile.ops.FromFunc tionOp' on page 311 undefined on input line 19861. LaTeX Warning: Hyper reference `library/compile/ops:theano.compile.ops.as_op' o n page 311 undefined on input line 19861. [311] [312] [313] [314] [315] [316] [317] [318] [319] [320] [321] [322] Underfull \hbox (badness 10000) in paragraph at lines 20996--20996 []\T1/ptm/m/it/10.95 typ\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 code\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 ver-sion=()\T1/ptm/m/n/10.95 , Overfull \hbox (16.37978pt too wide) in paragraph at lines 20996--20996 \T1/ptm/m/it/10.95 c_support_code_apply=None\T1/pcr/m/n/10.95 ) [323] LaTeX Warning: Hyper reference `library/index:theano.function' on page 324 unde fined on input line 21080. LaTeX Warning: Hyper reference `library/compile/debugmode:debugmode' on page 32 4 undefined on input line 21092. LaTeX Warning: Hyper reference `library/compile/nanguardmode:nanguardmode' on p age 324 undefined on input line 21095. LaTeX Warning: Hyper reference `library/config:config.mode' on page 324 undefin ed on input line 21103. LaTeX Warning: Hyper reference `library/index:theano.function' on page 324 unde fined on input line 21104. [324] LaTeX Warning: Hyper reference `library/compile/mode:theano.compile.mode.Mode.o ptimizer' on page 325 undefined on input line 21136. LaTeX Warning: Hyper reference `library/compile/mode:theano.compile.mode.Mode.l inker' on page 325 undefined on input line 21144. LaTeX Warning: Hyper reference `library/config:config.mode' on page 325 undefin ed on input line 21210. [325] [326] Underfull \hbox (badness 10000) in paragraph at lines 21333--21333 []\T1/ptm/m/it/10.95 self\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 op-ti-mizer='fa st_run'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sta-bil-ity_patience=None\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 check_c_code=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 5985) in paragraph at lines 21333--21333 \T1/ptm/m/it/10.95 check_py_code=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 che ck_isfinite=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re-quire_matching_stride s=None\T1/ptm/m/n/10.95 , [327] LaTeX Warning: Hyper reference `extending/inplace:inplace' on page 328 undefine d on input line 21401. LaTeX Warning: Hyper reference `extending/inplace:views' on page 328 undefined on input line 21413. [328] Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 []\T1/ptm/m/it/10.95 nan_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 inf_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 big_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 op-ti-mizer='default'\T1/ptm/m/n/10.95 , [329] LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 330 undefined on input line 21544. LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 330 undefined on input line 21555. LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 330 und efined on input line 21558. LaTeX Warning: Hyper reference `library/config:envvar-THEANORC' on page 330 und efined on input line 21579. [330] LaTeX Warning: Hyper reference `library/config:config.force_device' on page 331 undefined on input line 21653. LaTeX Warning: Hyper reference `library/config:config.device' on page 331 undef ined on input line 21671. LaTeX Warning: Hyper reference `library/config:config.device' on page 331 undef ined on input line 21691. LaTeX Warning: Hyper reference `library/config:config.device' on page 331 undef ined on input line 21692. [331] LaTeX Warning: Hyper reference `library/config:config.config.gpuarray.prealloca te' on page 332 undefined on input line 21780. [332] LaTeX Warning: Hyper reference `library/config:config.allow_gc' on page 333 und efined on input line 21808. LaTeX Warning: Hyper reference `library/config:config.config.scan.allow_gc' on page 333 undefined on input line 21808. LaTeX Warning: Hyper reference `library/config:config.cycle_detection' on page 333 undefined on input line 21834. LaTeX Warning: Hyper reference `library/config:config.cycle_detection' on page 333 undefined on input line 21835. LaTeX Warning: Hyper reference `library/config:config.check_stack_trace' on pag e 333 undefined on input line 21853. LaTeX Warning: Hyper reference `library/config:config.check_stack_trace' on pag e 333 undefined on input line 21854. LaTeX Warning: Hyper reference `library/config:config.check_stack_trace' on pag e 333 undefined on input line 21858. [333] LaTeX Warning: Hyper reference `library/config:config.int_division' on page 334 undefined on input line 21912. LaTeX Warning: Hyper reference `tutorial/profiling:tut-profiling' on page 334 u ndefined on input line 21971. [334] [335] [336] LaTeX Warning: Hyper reference `tutorial/modes:using-modes' on page 337 undefin ed on input line 22200. [337] Overfull \hbox (108.91849pt too wide) in paragraph at lines 22315--22316 \T1/ptm/m/n/10.95 Default: \T1/pcr/m/n/10.95 "compiledir_%(platform)s-%(process or)s-%(python_version)s-%(python_bitwidth)s" [338] LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_fwd' on page 339 undefined on input line 22424. LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_ filter' on page 339 undefined on input line 22432. LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_ data' on page 339 undefined on input line 22433. Underfull \hbox (badness 10000) in paragraph at lines 22432--22434 \T1/ptm/m/n/10.95 Deprecated, use \T1/pcr/m/sl/10.95 config.dnn.conv.algo_bwd_f ilter \T1/ptm/m/n/10.95 and \T1/pcr/m/sl/10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 22441--22445 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 winograd_non_fused\TS1/pcr/m/n/10.95 '\T1 /ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/1 0.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_ change\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 7722) in paragraph at lines 22448--22450 []\T1/ptm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/pcr/m/n/10.95 '\T1/pcr /m/n/10.95 none\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/ pcr/m/n/10.95 small\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 ' \T1/pcr/m/n/10.95 fft_tiling\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/ n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_ filter' on page 339 undefined on input line 22457. LaTeX Warning: Hyper reference `library/config:config.config.dnn.conv.algo_bwd_ data' on page 339 undefined on input line 22458. Underfull \hbox (badness 10000) in paragraph at lines 22457--22459 \T1/ptm/m/n/10.95 Deprecated, use \T1/pcr/m/sl/10.95 config.dnn.conv.algo_bwd_f ilter \T1/ptm/m/n/10.95 and \T1/pcr/m/sl/10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 22466--22469 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 fft_tiling\TS1/pcr/m/n/10.95 '\T1/ptm/m/n /10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T 1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_change\T S1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 tim e_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 22472--22474 []\T1/ptm/m/n/10.95 3d con-vo-lu-tion only sup-ports \TS1/pcr/m/n/10.95 '\T1/pc r/m/n/10.95 none\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1 /pcr/m/n/10.95 small\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , [339] Underfull \hbox (badness 10000) in paragraph at lines 22481--22485 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 winograd_non_fused\TS1/pcr/m/n/10.95 '\T1 /ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/1 0.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_ change\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , [340] [341] [342] LaTeX Warning: Hyper reference `library/config:config.config.numpy.seterr_all' on page 343 undefined on input line 22870. [343] [344] [345] [346] LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 347 undefined on input line 23171. LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.d3viz.d3viz' o n page 347 undefined on input line 23193. LaTeX Warning: Hyper reference `library/d3viz/index:module-theano.d3viz.d3viz' on page 347 undefined on input line 23194. [347 <./index_10_0.png>] [348] [349] LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.formatting.PyD otFormatter' on page 350 undefined on input line 23287. [350 <./index_24_0.png>] [351] LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n_module.Function' on page 352 undefined on input line 23395. LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.formatting.PyD otFormatter' on page 352 undefined on input line 23409. Underfull \hbox (badness 5939) in paragraph at lines 23408--23410 \T1/ptm/m/n/10.95 This func-tion ac-cepts ex-tra pa-ram-e-ters which will be fo r-warded to \T1/pcr/m/sl/10.95 theano.d3viz. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n_module.Function' on page 352 undefined on input line 23421. LaTeX Warning: Hyper reference `library/d3viz/index:theano.d3viz.formatting.PyD otFormatter' on page 352 undefined on input line 23432. Underfull \hbox (badness 5939) in paragraph at lines 23431--23433 \T1/ptm/m/n/10.95 This func-tion ac-cepts ex-tra pa-ram-e-ters which will be fo r-warded to \T1/pcr/m/sl/10.95 theano.d3viz. [352] LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n_module.Function' on page 353 undefined on input line 23529. [353] LaTeX Warning: Hyper reference `glossary:term-apply' on page 354 undefined on i nput line 23565. [354] [355] LaTeX Warning: Hyper reference `glossary:term-constant' on page 356 undefined o n input line 23756. LaTeX Warning: Hyper reference `glossary:term-variable' on page 356 undefined o n input line 23815. [356] Overfull \vbox (3.25508pt too high) detected at line 23927 [357] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable.eva l' on page 358 undefined on input line 23980. [358] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable.eva l' on page 359 undefined on input line 23987. Underfull \hbox (badness 10000) in paragraph at lines 24032--24032 []\T1/ptm/m/it/10.95 i\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 o\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 leaf_formatter=\T1/ptm/m/n/10.95 , [359] Underfull \hbox (badness 10000) in paragraph at lines 24108--24108 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 copy_inputs=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 24146--24146 []\T1/ptm/m/it/10.95 outputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 deps\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 de-bug_print=False\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 com- Underfull \hbox (badness 10000) in paragraph at lines 24146--24146 \T1/ptm/m/it/10.95 pute_deps_cache=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 d eps_cache=None\T1/ptm/m/n/10.95 , [360] [361] Underfull \hbox (badness 10000) in paragraph at lines 24383--24383 []\T1/ptm/m/it/10.95 i\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 op\T1/ptm/m/n/10.9 5 , \T1/ptm/m/it/10.95 leaf_formatter=\T1/ptm/m/n/10.95 , [362] [363] [364] Underfull \hbox (badness 10000) in paragraph at lines 24637--24639 []\T1/ptm/m/n/10.95 For each fea-ture that has a `on_change_input' method, call s: fea- [365] [366] LaTeX Warning: Hyper reference `library/gof/toolbox:module-theano.gof.toolbox' on page 367 undefined on input line 24819. [367] Underfull \hbox (badness 10000) in paragraph at lines 24981--24981 \T1/ptm/m/it/10.95 li-braries=()\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 lib_dirs =()\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 com-pile_args=()\T1/ptm/m/n/10.95 , \ T1/ptm/m/it/10.95 ex- [368] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.CDataTypeConst ant' on page 369 undefined on input line 25005. [369] [370] [371] Underfull \hbox (badness 10000) in paragraph at lines 25247--25249 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [372] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p age 373 undefined on input line 25358. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p age 373 undefined on input line 25379. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p age 373 undefined on input line 25386. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p age 373 undefined on input line 25386. Underfull \hbox (badness 10000) in paragraph at lines 25388--25389 []\T1/ptm/m/n/10.95 See test \T1/pcr/m/n/10.95 theano.gof.tests.test_types.Test EnumTypes. [373] [374] [375] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p age 376 undefined on input line 25710. [376] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p age 377 undefined on input line 25717. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p age 377 undefined on input line 25729. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p age 377 undefined on input line 25736. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumList' on p age 377 undefined on input line 25754. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.CEnumType' on page 377 undefined on input line 25757. [377] Overfull \vbox (1.22041pt too high) detected at line 25857 [378] [379] [380] [381] [382] [383] LaTeX Warning: Hyper reference `glossary:term-type' on page 384 undefined on in put line 26355. LaTeX Warning: Hyper reference `glossary:term-constant' on page 384 undefined o n input line 26370. [384] LaTeX Warning: Hyper reference `glossary:term-variable' on page 385 undefined o n input line 26405. [385] [386] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.PureType.Varia ble.eval' on page 387 undefined on input line 26570. LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.PureType.Varia ble.eval' on page 387 undefined on input line 26577. [387] [388] LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type. ParamsType' on page 389 undefined on input line 26805. LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type. Params' on page 389 undefined on input line 26806. LaTeX Warning: Hyper reference `extending/using_params:extending-op-params' on page 389 undefined on input line 26812. [389] Underfull \hbox (badness 10000) in paragraph at lines 26863--26865 []\T1/ptm/m/n/10.95 See \T1/pcr/m/n/10.95 QuadraticOpFunc \T1/ptm/m/n/10.95 and \T1/pcr/m/n/10.95 QuadraticCOpFunc \T1/ptm/m/n/10.95 in \T1/pcr/m/n/10.95 thea no/gof/tests/ LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p age 390 undefined on input line 26870. [390] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.EnumType' on p age 391 undefined on input line 26905. [391] [392] LaTeX Warning: Hyper reference `library/gof/params_type:theano.gof.params_type. Params' on page 393 undefined on input line 27084. [393] [394] [395] Underfull \hbox (badness 10000) in paragraph at lines 27277--27279 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [396] [397] [398] [399] LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi on' on page 400 undefined on input line 27705. [400] [401] [402] [403] [404] [405] [406] [407] [408] [409] [410] [411] [412] [413] [414] [415] [416] Underfull \hbox (badness 10000) in paragraph at lines 29322--29322 []\T1/ptm/m/it/10.95 code\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 params\T1/ptm/m /n/10.95 , \T1/ptm/m/it/10.95 name\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 flags\ T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 code- Underfull \hbox (badness 10000) in paragraph at lines 29355--29357 []\T1/ptm/m/n/10.95 It can also have the key \T1/ptm/m/it/10.95 cflags \T1/ptm/ m/n/10.95 which is a string of C flag val-ues like this [417] Underfull \hbox (badness 10000) in paragraph at lines 29429--29429 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam- [418] Underfull \hbox (badness 5119) in paragraph at lines 29476--29476 []\T1/ptm/m/it/10.95 bottom\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 weights\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 top\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-r ec-tion\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 height=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 width=None\T1/ptm/m/ n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29477--29482 \T1/ptm/m/n/10.95 This gen-er-ates the C code for Gpu-Corr3dMM (di-rec-tion=^^Q forward^^Q), Gpu- Underfull \hbox (badness 10000) in paragraph at lines 29497--29502 []\T1/pcr/b/n/10.95 direction \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 forward\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop weights\TS1/pcr/m/sl/10.95 '\T 1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop [419] Underfull \hbox (badness 10000) in paragraph at lines 29596--29596 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 29596--29596 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/1 0.95 , \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 1)\T1/ptm/m/n/10.95 , [420] Underfull \hbox (badness 10000) in paragraph at lines 29667--29672 []\T1/pcr/b/n/10.95 direction \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 forward\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop weights\TS1/pcr/m/sl/10.95 '\T 1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop [421] [422] Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v.conv2d' on page 423 undefined on input line 29870. [423] Underfull \hbox (badness 10000) in paragraph at lines 29936--29936 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29936--29936 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [424] Underfull \hbox (badness 10000) in paragraph at lines 30004--30004 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 6220) in paragraph at lines 30004--30004 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [425] Underfull \hbox (badness 5756) in paragraph at lines 30072--30072 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 un- LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v.conv2d' on page 426 undefined on input line 30123. [426] Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [427] Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [428] [429] [430] [431] [432] [433] [434] LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.elemwise.Gp uCAReduceCPY' on page 435 undefined on input line 30936. Underfull \hbox (badness 10000) in paragraph at lines 30943--30943 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\ T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30943--30943 \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , [435] LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi on' on page 436 undefined on input line 31009. [436] Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\ T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 re-duce_mask=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 , [437] [438] LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi on' on page 439 undefined on input line 31209. [439] [440] Underfull \hbox (badness 5924) in paragraph at lines 31397--31397 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place_p attern=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31397--31397 \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nfunc_spec=N one\T1/ptm/m/n/10.95 , [441] [442] Underfull \hbox (badness 10000) in paragraph at lines 31617--31617 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [443] Underfull \hbox (badness 10000) in paragraph at lines 31696--31696 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [444] Overfull \hbox (37.40398pt too wide) in paragraph at lines 31794--31794 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (91.124pt too wide) in paragraph at lines 31794--31794 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (45.13405pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 31842--31842 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (51.70404pt too wide) in paragraph at lines 31842--31842 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) [445] [446] Overfull \hbox (37.40398pt too wide) in paragraph at lines 32066--32066 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (91.124pt too wide) in paragraph at lines 32066--32066 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) [447] [448] [449] Overfull \hbox (4.3459pt too wide) in paragraph at lines 32288--32288 []\T1/ptm/m/it/10.95 sparse_grad=False\T1/pcr/m/n/10.95 ) [450] [451] Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 []\T1/ptm/m/it/10.95 idx_list\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place=Fa lse\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 de-stroy-han- Overfull \hbox (4.18106pt too wide) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 dler_tolerate_aliased=None\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.subtensor.G puIncSubtensor.do_type_checking' on page 452 undefined on input line 32543. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.subtensor.G puIncSubtensor.copy_of_x' on page 452 undefined on input line 32544. [452] [453] [454] [455] [456] Underfull \hbox (badness 10000) in paragraph at lines 32967--32967 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , [457] [458] [459] [460] [461] [462] [463] [464] Underfull \hbox (badness 7522) in paragraph at lines 33712--33716 []\T1/ptm/m/n/10.95 Alternatively, on Linux, you can set the en-vi-ron-ment var i-ables \T1/pcr/m/n/10.95 LD_LIBRARY_PATH\T1/ptm/m/n/10.95 , [465] [466] LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 467 undefined on input line 33863. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv3d' on page 467 undefined on input line 33863. Underfull \hbox (badness 10000) in paragraph at lines 33863--33864 []\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_conv()\T1/ptm/m/n/10.95 , \T1/pcr/ m/sl/10.95 theano.gpuarray.dnn. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adweight' on page 467 undefined on input line 33866. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adweight3d' on page 467 undefined on input line 33866. Underfull \hbox (badness 10000) in paragraph at lines 33866--33867 []\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_gradweight()\T1/ptm/m/n/10.95 , \T 1/pcr/m/sl/10.95 theano.gpuarray.dnn. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adinput' on page 467 undefined on input line 33869. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_gr adinput3d' on page 467 undefined on input line 33869. Underfull \hbox (badness 10000) in paragraph at lines 33869--33870 []\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_gradinput()\T1/ptm/m/n/10.95 , \T1 /pcr/m/sl/10.95 theano.gpuarray.dnn. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_po ol' on page 467 undefined on input line 33878. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba tch_normalization_train' on page 467 undefined on input line 33887. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba tch_normalization_test' on page 467 undefined on input line 33890. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.RNNBlo ck' on page 467 undefined on input line 33899. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.GpuDnn Softmax' on page 467 undefined on input line 33908. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_sp atialtf' on page 467 undefined on input line 33917. [467] [468] [469] Underfull \hbox (badness 10000) in paragraph at lines 34142--34144 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [470] [471] Underfull \hbox (badness 10000) in paragraph at lines 34331--34333 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 []\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 run- Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 ning_averages=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in - Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 place_running_mean=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 in- Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 place_running_var=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 in- [472] Underfull \hbox (badness 10000) in paragraph at lines 34427--34427 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 scale\T1/ptm/m/n/1 0.95 , \T1/ptm/m/it/10.95 bias\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep-silon=0 .0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run-ning_average_factor=0.1\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 run- Underfull \hbox (badness 10000) in paragraph at lines 34452--34452 []\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , [473] Underfull \hbox (badness 10000) in paragraph at lines 34497--34499 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pc r/m/sl/10.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 large\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft_tiling\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 474 undefined on input line 34535. [474] Underfull \hbox (badness 10000) in paragraph at lines 34658--34660 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [475] Underfull \hbox (badness 10000) in paragraph at lines 34697--34697 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=N one\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34711--34713 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 deterministic\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft_tiling\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34735--34735 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=N one\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34749--34751 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 deterministic\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34749--34751 \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_once\TS1/pcr/m/sl/10.95 '\T1/pcr/ m/sl/10.95 ,\T1/ptm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', [476] Underfull \hbox (badness 10000) in paragraph at lines 34814--34815 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 34858--34859 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [477] [478] Underfull \hbox (badness 10000) in paragraph at lines 35019--35021 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [479] Underfull \hbox (badness 10000) in paragraph at lines 35078--35079 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [480] [481] LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.GpuDnn TransformerGrid' on page 482 undefined on input line 35313. Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 []\T1/ptm/m/it/10.95 dtype\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 hid-den_size\T 1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_layers\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 \T1/ptm/m/it/10.95 rnn_mode\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-put_mode=' linear'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di- Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 \T1/ptm/m/it/10.95 rec-tion_mode='unidirectional'\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 con- Underfull \hbox (badness 10000) in paragraph at lines 35359--35361 []\T1/pcr/b/n/10.95 rnn_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/ sl/10.95 '\T1/pcr/m/sl/10.95 rnn_relu\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 rnn_tanh\TS1/pcr/m/sl/10.95 '\T1/pcr/m/ sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 lstm\TS1/pcr/m/sl/10.95 '\T1 /pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 gru\TS1/pcr/m/sl/10.9 5 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 35376--35378 []\T1/pcr/b/n/10.95 direction_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/ pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 unidirectional\TS1/pcr/m/sl/10.95 '\T1/pcr/m /sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 bidirectional\TS1/pcr/m/sl/ 10.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [482] LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA rraySharedVariable' on page 483 undefined on input line 35433. Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 \T1/ptm/m/it/10.95 mean\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 var\T1/ptm/m/n/10 .95 , \T1/ptm/m/it/10.95 mode='per- Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 \T1/ptm/m/it/10.95 activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep- [483] Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 ep-silon=0.0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run- Overfull \hbox (1.40036pt too wide) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 ning_average_factor=0.1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 , [484] Underfull \hbox (badness 10000) in paragraph at lines 35606--35606 \T1/ptm/m/it/10.95 work-mem=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=Non e\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pre-ci-sion=None\T1/ptm/m/n/10.95 , [485] Underfull \hbox (badness 10000) in paragraph at lines 35646--35649 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 large\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35646--35649 \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_once\TS1/pcr/m/sl/10.95 '\T1/pcr/ m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_on_shape_change\TS1/ pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 ti me_once\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35651--35655 []\T1/pcr/b/n/10.95 precision \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 as_input_f32\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10. 95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 as_input\TS1/pcr/m/sl/10.95 '\T1/p cr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 float16\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 8113) in paragraph at lines 35675--35675 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 conv _mode='conv'\T1/ptm/m/n/10.95 , [486] Underfull \hbox (badness 10000) in paragraph at lines 35720--35724 []\T1/pcr/b/n/10.95 precision \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 as_input_f32\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10. 95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 as_input\TS1/pcr/m/sl/10.95 '\T1/p cr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 float16\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35744--35744 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35752--35752 []\T1/ptm/m/it/10.95 kerns\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 top-grad\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 img_shp\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 35752--35752 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-s am-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35760--35760 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35760--35760 \T1/ptm/m/it/10.95 conv_mode='conv'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pre-c i-sion=None\T1/ptm/m/n/10.95 , [487] Underfull \hbox (badness 10000) in paragraph at lines 35768--35768 []\T1/ptm/m/it/10.95 img\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 top-grad\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 kerns_shp\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 35795--35796 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , [488] [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 36025--36025 \T1/ptm/m/it/10.95 al-low_downcast=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36053--36054 []\T1/pcr/b/n/10.95 with borrow=False and return_internal_type=True does Underfull \hbox (badness 10000) in paragraph at lines 36059--36060 []\T1/pcr/b/n/10.95 in that case, you may get different return types [491 <./plot_fft.png>] Underfull \hbox (badness 10000) in paragraph at lines 36082--36083 []\T1/pcr/b/n/10.95 to this value will be visible to all functions using Underfull \hbox (badness 10000) in paragraph at lines 36136--36136 []\T1/ptm/m/it/10.95 dtype\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 broad-castable \T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 con- [492] LaTeX Warning: Hyper reference `library/gof/type:theano.gof.type.PureType' on p age 493 undefined on input line 36252. LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA rrayConstant' on page 493 undefined on input line 36259. LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA rraySharedVariable' on page 493 undefined on input line 36267. LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA rrayVariable' on page 493 undefined on input line 36275. [493] [494] [495] Underfull \hbox (badness 10000) in paragraph at lines 36529--36531 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [496] LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.GpuA rrayType.context_name' on page 497 undefined on input line 36575. [497] [498] [499] [500] LaTeX Warning: Hyper reference `library/gpuarray/type:theano.gpuarray.type.reg_ context' on page 501 undefined on input line 36967. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 501 undefined on input line 36986. Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 []\T1/ptm/m/it/10.95 value\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/p tm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 strict=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 al- Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 low_downcast=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 bor-row=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 broad- Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 castable=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 tar- LaTeX Warning: Hyper reference `library/index:theano.shared' on page 501 undefi ned on input line 36998. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 501 undefined on input line 37027. [501] [502] [503] [504] [505] Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 []\T1/ptm/m/it/10.95 N\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 buf\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 6110) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 load_x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pos\T1/ptm/m/n/ 10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 count\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 man- Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 , Overfull \hbox (14.06978pt too wide) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 ) [506] Underfull \hbox (badness 6842) in paragraph at lines 37526--37526 []\T1/ptm/m/it/10.95 N\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 buf\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 sm_stride\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 write_sm\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 thread-Pos\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 thread- Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 , Overfull \hbox (20.63977pt too wide) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 ) [507] [508] LaTeX Warning: Hyper reference `library/tensor/nnet/ctc:libdoc-tensor-nnet-ctc' on page 509 undefined on input line 37654. Overfull \hbox (81.80635pt too wide) in paragraph at lines 37710--37710 []\T1/ptm/m/it/10.95 compute_grad=True\T1/pcr/m/n/10.95 ) [509] [510] Underfull \hbox (badness 10000) in paragraph at lines 37816--37816 []\T1/ptm/m/it/10.95 lower=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37897--37897 []\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 , [511] [512] Underfull \hbox (badness 10000) in paragraph at lines 38054--38056 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [513] Underfull \hbox (badness 10000) in paragraph at lines 38111--38112 []\T1/pcr/b/n/10.95 UPLO \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Specifies whethe r the calculation is done with LaTeX Warning: Hyper reference `library/gpuarray/linalg:theano.gpuarray.linalg. gpu_qr' on page 514 undefined on input line 38160. Underfull \hbox (badness 10000) in paragraph at lines 38177--38177 []\T1/ptm/m/it/10.95 full_matrices=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 c om- LaTeX Warning: Hyper reference `library/gpuarray/linalg:theano.gpuarray.linalg. gpu_svd' on page 514 undefined on input line 38182. [514] [515] Underfull \hbox (badness 10000) in paragraph at lines 38408--38408 []\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 eval_points\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 con-s ider_constant=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dis-con- LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 516 undefined on input line 38416. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 516 undefined on input line 38420. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 516 undefined on input line 38424. [516] Underfull \hbox (badness 10000) in paragraph at lines 38454--38454 []\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 eval_points\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dis-c on-nected_outputs='raise'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 517 undefined on input line 38462. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 517 undefined on input line 38466. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 517 undefined on input line 38470. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 517 undefined on input line 38517. [517] [518] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 519 undefined on input line 38653. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 519 undefined on input line 38661. LaTeX Warning: Hyper reference `library/gradient:module-gradient' on page 519 u ndefined on input line 38688. LaTeX Warning: Hyper reference `extending/op:grad' on page 519 undefined on inp ut line 38689. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 519 undefined on input line 38693. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 519 undefined on input line 38697. [519] [520] Underfull \hbox (badness 10000) in paragraph at lines 38885--38885 []\T1/ptm/m/it/10.95 cost\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 con-sider_constant=None\T1/ptm/m/n/10.95 , \T1/ptm/m /it/10.95 dis-con- Underfull \hbox (badness 10000) in paragraph at lines 38891--38892 []\T1/pcr/b/n/10.95 wrt \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Vector (1-dimensi onal tensor) \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 Variable\TS1/pcr/m/sl/10.9 5 ' \T1/pcr/m/sl/10.95 or list [521] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 522 undefined on input line 38926. Underfull \hbox (badness 10000) in paragraph at lines 38935--38935 []\T1/ptm/m/it/10.95 expression\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 con-sider_constant=None\T1/ptm/m/n/10.95 , \T1 /ptm/m/it/10.95 dis-con- LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 522 undefined on input line 38940. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 522 undefined on input line 38943. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 522 undefined on input line 38975. [522] [523] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 524 undefined on input line 39157. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 524 undefined on input line 39163. Underfull \hbox (badness 10000) in paragraph at lines 39172--39172 \T1/ptm/m/it/10.95 abs_tol=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 rel_tol=N one\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 mode=None\T1/ptm/m/n/10.95 , [524] Underfull \hbox (badness 10000) in paragraph at lines 39222--39225 []\T1/pcr/b/n/10.95 cast_to_output_type \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 b ool\T1/ptm/m/n/10.95 ) ^^U if the out-put is float32 and LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 525 undefined on input line 39254. [525] LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 526 undefined on input line 39261. LaTeX Warning: Hyper reference `tutorial/gradients:tutcomputinggrads' on page 5 26 undefined on input line 39271. [526] Underfull \hbox (badness 10000) in paragraph at lines 39401--39401 []\T1/ptm/m/it/10.95 obj\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 file_handler\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pro-to-col=3\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 per-sis-tent_id=\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 39479--39479 []\T1/ptm/m/it/10.95 file\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pro-to-col=0\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ex- [528] LaTeX Warning: Hyper reference `tutorial/loading_and_saving:tutorial-loadsave' on page 529 undefined on input line 39524. LaTeX Warning: Hyper reference `library/printing:theano.printing.Print' on page 529 undefined on input line 39539. LaTeX Warning: Hyper reference `library/printing:theano.printing.theano.pp' on page 529 undefined on input line 39562. LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on page 529 undefined on input line 39563. LaTeX Warning: Hyper reference `library/printing:theano.printing.pp' on page 52 9 undefined on input line 39565. LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on page 529 undefined on input line 39565. LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 529 undefined on input line 39566. LaTeX Warning: Hyper reference `library/printing:theano.printing.theano.pp' on page 529 undefined on input line 39572. [529] LaTeX Warning: Hyper reference `library/printing:theano.printing.pp' on page 53 0 undefined on input line 39600. LaTeX Warning: Hyper reference `library/printing:theano.printing.debugprint' on page 530 undefined on input line 39609. Overfull \vbox (1.6708pt too high) detected at line 39656 [530] LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 531 undefined on input line 39673. LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 531 undefined on input line 39686. LaTeX Warning: Hyper reference `library/printing:theano.printing.pydotprint' on page 531 undefined on input line 39691. [531] LaTeX Warning: Hyper reference `library/printing:theano.printing.pp' on page 53 2 undefined on input line 39818. Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 []\T1/ptm/m/it/10.95 fct\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-file=None\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 com-pact=True\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 for- Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 mat='png'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 with_ids=Fal se\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 high_contrast=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 cond_highlight=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 co l-or-Codes=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 max_label_size=70\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 scan _graphs=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 var_with_name_simple=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 print_output_file=True\T1/ptm/m/n/10.95 , [532] [533] [534] [535] LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:libdoc-tensor-nn et-neighbours' on page 536 undefined on input line 40135. [536] [537] Underfull \hbox (badness 10000) in paragraph at lines 40315--40315 []\T1/ptm/m/it/10.95 size=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 a=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 re-place=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 p=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ndim=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype='int64'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 40341--40342 []\T1/pcr/b/n/10.95 Example \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 p = [[98, 01, 01], [01, 49, 50]] and size=1 Underfull \hbox (badness 10000) in paragraph at lines 40344--40345 []\T1/pcr/b/n/10.95 result in [[0],[2]] When setting size=2, this [538] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 539 undefined on input line 40444. [539] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 540 undefined on input line 40503. LaTeX Warning: Hyper reference `library/sandbox/rng_mrg:theano.sandbox.rng_mrg. MRG_RandomStreams.normal' on page 540 undefined on input line 40511. [540] [541] [542] [543] Overfull \vbox (14.32309pt too high) detected at line 40888 [544] Overfull \vbox (1.72308pt too high) detected at line 40953 [545] [546] [547] [548] [549] [550] [551] LaTeX Warning: Hyper reference `library/scan:lib-scan-shared-variables' on page 552 undefined on input line 41357. LaTeX Warning: Hyper reference `library/scan:lib-scan-strict' on page 552 undef ined on input line 41358. [552] [553] [554] [555] [556] [557] [558] [559] Underfull \hbox (badness 10000) in paragraph at lines 41940--41940 []\T1/ptm/m/it/10.95 fn\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 se-quences=[]\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts_info=None\T1/ptm/m/n/10.95 , \T1/pt m/m/it/10.95 non_sequences=[]\T1/ptm/m/n/10.95 , LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 560 undefined on input line 41943. LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 560 undefined on input line 41976. [560] LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 561 undefined on input line 42017. LaTeX Warning: Hyper reference `library/scan:theano.scan' on page 561 undefined on input line 42032. LaTeX Warning: Hyper reference `tutorial/sparse:tutsparse' on page 561 undefine d on input line 42042. [561] [562] LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dense_ from_sparse' on page 563 undefined on input line 42171. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csr_fr om_dense' on page 563 undefined on input line 42175. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csc_fr om_dense' on page 563 undefined on input line 42176. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dense_ from_sparse' on page 563 undefined on input line 42181. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.CSM' o n page 563 undefined on input line 42190. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.csm_pr operties' on page 563 undefined on input line 42194. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sp_one s_like' on page 563 undefined on input line 42202. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sp_zer os_like' on page 563 undefined on input line 42206. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.square _diagonal' on page 563 undefined on input line 42210. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.constr uct_sparse_from_list' on page 563 undefined on input line 42214. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.cast' on page 563 undefined on input line 42224. [563] LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.transp ose' on page 564 undefined on input line 42235. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.neg' o n page 564 undefined on input line 42245. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.eq' on page 564 undefined on input line 42249. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.neq' o n page 564 undefined on input line 42252. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.gt' on page 564 undefined on input line 42255. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.ge' on page 564 undefined on input line 42258. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.lt' on page 564 undefined on input line 42261. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.le' on page 564 undefined on input line 42264. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.add' o n page 564 undefined on input line 42267. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sub' o n page 564 undefined on input line 42271. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.mul' o n page 564 undefined on input line 42275. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.col_sc ale' on page 564 undefined on input line 42279. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.row_sc ale' on page 564 undefined on input line 42283. [564] LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dot' o n page 565 undefined on input line 42379. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.struct ured_dot' on page 565 undefined on input line 42396. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.true_d ot' on page 565 undefined on input line 42418. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.sampli ng_dot' on page 565 undefined on input line 42441. [565] LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.usmm' on page 566 undefined on input line 42461. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.dot' o n page 566 undefined on input line 42467. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.diag' on page 566 undefined on input line 42507. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.hstack ' on page 566 undefined on input line 42517. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.vstack ' on page 566 undefined on input line 42521. Underfull \hbox (badness 10000) in paragraph at lines 42536--42538 []\T1/pcr/m/n/10.95 Binomial \T1/ptm/m/n/10.95 and \T1/pcr/m/n/10.95 csc_fbinom ial\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 csc_dbinomial csr_fbinomial\T1/ptm/m/n /10.95 , LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.ensure _sorted_indices' on page 566 undefined on input line 42551. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.remove 0' on page 566 undefined on input line 42554. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.clean' on page 566 undefined on input line 42557. LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.tests.test_b asic.sparse_random_inputs' on page 566 undefined on input line 42566. [566] [567] [568] [569] [570] [571] Underfull \hbox (badness 10000) in paragraph at lines 43149--43150 []\T1/pcr/b/n/10.95 create a sparse matrix with the same shape as x. Its [572] Overfull \hbox (121.00287pt too wide) in paragraph at lines 43155--43155 [] Underfull \hbox (badness 10000) in paragraph at lines 43155--43155 [573] [574] [575] [576] [577] [578] [579] [580] [581] [582] [583] [584] Underfull \hbox (badness 10000) in paragraph at lines 44354--44354 []\T1/ptm/m/it/10.95 type\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 owner=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 in-dex=None\T1/ptm/m/n/10.95 , [585] [586] [587] [588] [589] [590] [591] [592] [593] LaTeX Warning: Hyper reference `library/sparse/index:theano.sparse.basic.CSMGra d' on page 594 undefined on input line 45224. [594] [595] [596] [597] [598] [599] [600] [601] [602] [603] Underfull \hbox (badness 10000) in paragraph at lines 46247--46247 \T1/ptm/m/it/10.95 out_dtype=None\T1/ptm/m/n/10.95 , Overfull \hbox (0.60056pt too wide) in paragraph at lines 46247--46247 \T1/ptm/m/it/10.95 sorted_indices=False\T1/pcr/m/n/10.95 ) [604] [605] [606] [607] [608] [609] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 610 undefined on input line 46782. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType' on page 610 undefined on input line 46783. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 610 undefined on input line 46788. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType' on page 610 undefined on input line 46788. [610] Overfull \vbox (0.72517pt too high) detected at line 46910 [611] [612] Package longtable Warning: Column widths have changed (longtable) in table 1 on input line 47832. [613] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType' on page 614 undefined on input line 47898. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType' on page 614 undefined on input line 47918. [614] LaTeX Warning: Hyper reference `glossary:term-shared-variable' on page 615 unde fined on input line 47931. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 615 undefined on input line 47939. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 615 undefined on input line 47940. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorConsta nt' on page 615 undefined on input line 47942. LaTeX Warning: Hyper reference `library/config:module-config' on page 615 undef ined on input line 47961. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorVariab le' on page 615 undefined on input line 47985. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorConsta nt' on page 615 undefined on input line 47985. LaTeX Warning: Hyper reference `extending/graphstructures:tutorial-graphfigure' on page 615 undefined on input line 48001. [615] LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page 616 undefined on input line 48009. [616] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType' on page 617 undefined on input line 48239. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o perators' on page 617 undefined on input line 48255. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o perators' on page 617 undefined on input line 48266. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o perators' on page 617 undefined on input line 48278. LaTeX Warning: Hyper reference `library/tensor/basic:tensor-operator-support' o n page 617 undefined on input line 48290. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType' on page 617 undefined on input line 48295. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType.n dim' on page 617 undefined on input line 48305. [617] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.TensorType.d type' on page 618 undefined on input line 48314. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.reshape' on page 618 undefined on input line 48328. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.flatten' on page 618 undefined on input line 48381. [618] [619] [620] [621] [622] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor._tensor_py_o perators.dimshuffle' on page 623 undefined on input line 49002. [623] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast' on page 624 undefined on input line 49047. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast' on page 624 undefined on input line 49062. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.unbroadcast' on page 624 undefined on input line 49077. Overfull \vbox (1.70845pt too high) detected at line 49102 [624] Underfull \hbox (badness 10000) in paragraph at lines 49124--49127 []\T1/pcr/b/n/10.95 axis \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 an int or an ite rable object such as list or Underfull \hbox (badness 10000) in paragraph at lines 49158--49161 []\T1/pcr/b/n/10.95 axis \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 an int or an ite rable object such as list or [625] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.reshape' on page 626 undefined on input line 49213. LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.repeat' on page 626 undefined on input line 49257. [626] [627] [628] Underfull \hbox (badness 10000) in paragraph at lines 49529--49530 [629] [630] [631] Underfull \hbox (badness 10000) in paragraph at lines 49764--49766 []\T1/ptm/m/n/10.95 older: Overfull \hbox (1.23325pt too wide) in paragraph at lines 49791--49793 [] [632] Underfull \hbox (badness 10000) in paragraph at lines 49936--49936 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\T1/ptm/m /n/10.95 , \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 keep-dims=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n /10.95 , [633] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.sum' on page 634 undefined on input line 50047. [634] [635] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.set_subtenso r' on page 636 undefined on input line 50247. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.inc_subtenso r' on page 636 undefined on input line 50247. [636] [637] LaTeX Warning: Hyper reference `glossary:term-shared-variable' on page 638 unde fined on input line 50356. LaTeX Warning: Hyper reference `library/index:theano.function' on page 638 unde fined on input line 50357. Underfull \hbox (badness 5548) in paragraph at lines 50371--50373 []\T1/ptm/m/n/10.95 This is not a rein-ter-pret cast, but a co-er-cion cast, si m-i-lar to \T1/pcr/m/n/10.95 numpy.asarray(x, [638] [639] [640] [641] [642] LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page 643 undefined on input line 50902. [643] Overfull \vbox (1.62054pt too high) detected at line 51049 [644] [645] LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.tensordot' o n page 646 undefined on input line 51175. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.batched_dot' on page 646 undefined on input line 51175. [646] LaTeX Warning: Hyper reference `library/gradient:module-gradient' on page 647 u ndefined on input line 51256. LaTeX Warning: Hyper reference `extending/op:grad' on page 647 undefined on inp ut line 51257. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 647 undefined on input line 51261. LaTeX Warning: Hyper reference `library/gof/graph:theano.gof.graph.Variable' on page 647 undefined on input line 51265. [647] LaTeX Warning: Hyper reference `library/gradient:libdoc-gradient' on page 648 u ndefined on input line 51344. [648] LaTeX Warning: Hyper reference `library/tensor/signal/conv:theano.tensor.signal .conv.conv2d' on page 649 undefined on input line 51361. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v2d' on page 649 undefined on input line 51362. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v2d' on page 649 undefined on input line 51374. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v3d' on page 649 undefined on input line 51377. LaTeX Warning: Hyper reference `library/gpuarray/dnn:libdoc-gpuarray-dnn' on pa ge 649 undefined on input line 51383. Underfull \hbox (badness 10000) in paragraph at lines 51390--51393 []\T1/ptm/m/n/10.95 Either cuDNN and the gemm ver-sion can be dis-abled us-ing the Theano flags [649] LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v.conv2d' on page 650 undefined on input line 51433. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.blas.GpuCor rMM' on page 650 undefined on input line 51437. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 650 undefined on input line 51455. LaTeX Warning: Hyper reference `library/gpuarray/op:theano.gpuarray.blas.GpuCor r3dMM' on page 650 undefined on input line 51465. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv3d' on page 650 undefined on input line 51480. LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_co nv' on page 650 undefined on input line 51481. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v3d2d.conv3d' on page 650 undefined on input line 51487. [650] Underfull \hbox (badness 10000) in paragraph at lines 51520--51524 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 or 6 of int or Underfull \hbox (badness 6741) in paragraph at lines 51526--51530 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 4 or 6 of int or Underfull \hbox (badness 10000) in paragraph at lines 51532--51534 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 51538--51540 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 51541--51545 [] Underfull \hbox (badness 10000) in paragraph at lines 51546--51548 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 51549--51551 [] Underfull \hbox (badness 10000) in paragraph at lines 51552--51555 []\T1/ptm/m/n/10.95 pad Underfull \hbox (badness 10000) in paragraph at lines 51570--51571 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int or [651] Underfull \hbox (badness 10000) in paragraph at lines 51586--51587 []\T1/pcr/b/n/10.95 kwargs \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Any other keyw ord arguments are accepted for Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 out-put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/ 10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor-der _mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 \T1/ptm/m/it/10.95 in-put_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\ T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51634--51636 []\T1/pcr/b/n/10.95 output_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple/li st of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 51638--51642 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 4 of int or [652] Underfull \hbox (badness 10000) in paragraph at lines 51717--51721 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or [653] Underfull \hbox (badness 10000) in paragraph at lines 51723--51727 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 51735--51737 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 51738--51742 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 51743--51745 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 51797--51797 []\T1/ptm/m/it/10.95 signals\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sig-nals_shape=None\T1/ptm/m/n/10.95 , \T1/p tm/m/it/10.95 fil- [654] Underfull \hbox (badness 8019) in paragraph at lines 51873--51877 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int, None or [655] Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 sub-sam-ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 656 undefined on input line 51922. [656] Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 657 undefined on input line 52016. Overfull \hbox (44.07277pt too wide) in paragraph at lines 52024--52024 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (37.98465pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 bor- Overfull \hbox (67.66975pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 sam- Overfull \hbox (17.30025pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 fil- Overfull \hbox (46.51445pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 fil- Overfull \hbox (55.6356pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (54.53018pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 un- Overfull \hbox (51.54047pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 657 undefined on input line 52026. [657] Overfull \hbox (50.64276pt too wide) in paragraph at lines 52041--52041 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (44.55464pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 bor- Overfull \hbox (74.23975pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 sam- Overfull \hbox (23.87024pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 fil- Overfull \hbox (53.08444pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 fil- Overfull \hbox (62.2056pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (61.10017pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Overfull \hbox (5.8358pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 un- Overfull \hbox (58.11046pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 658 undefined on input line 52043. Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 658 undefined on input line 52060. [658] Overfull \hbox (44.07277pt too wide) in paragraph at lines 52068--52068 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (37.98465pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 bor- Overfull \hbox (67.66975pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 sam- Overfull \hbox (17.30025pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 fil- Overfull \hbox (46.51445pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 fil- Overfull \hbox (55.6356pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (58.36269pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 659 undefined on input line 52070. Overfull \hbox (50.64276pt too wide) in paragraph at lines 52085--52085 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (44.55464pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 bor- Overfull \hbox (74.23975pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 sam- Overfull \hbox (23.87024pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 fil- Overfull \hbox (53.08444pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 fil- Overfull \hbox (62.2056pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (64.93268pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 659 undefined on input line 52087. [659] Overfull \hbox (10.9274pt too wide) in paragraph at lines 52102--52102 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Overfull \hbox (30.93279pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (24.84467pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 bor- Overfull \hbox (54.52977pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 sam- Overfull \hbox (18.15424pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 fil- Overfull \hbox (33.37447pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 fil- Overfull \hbox (56.4896pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (41.3902pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 un- Overfull \hbox (38.40048pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 660 undefined on input line 52104. Overfull \hbox (17.49739pt too wide) in paragraph at lines 52166--52166 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Overfull \hbox (37.50278pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (31.41466pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 bor- Overfull \hbox (61.09976pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 sam- Overfull \hbox (24.72423pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 fil- Overfull \hbox (39.94446pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 fil- Overfull \hbox (63.05959pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (47.96019pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 un- Overfull \hbox (44.97047pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.abs tract_conv.BaseAbstractConv' on page 660 undefined on input line 52168. [660] Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (8.53983pt too wide) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.49965pt too wide) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 un- [661] Underfull \hbox (badness 10000) in paragraph at lines 52262--52264 []\T1/ptm/m/n/10.95 Generates out-put of [662] Underfull \hbox (badness 10000) in paragraph at lines 52284--52286 []\T1/pcr/m/n/10.95 int1\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 int2 Underfull \hbox (badness 5050) in paragraph at lines 52317--52317 []\T1/ptm/m/it/10.95 img\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 kern\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 d i-la-tion=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-shared=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di- rec- Underfull \hbox (badness 10000) in paragraph at lines 52362--52367 []\T1/pcr/b/n/10.95 shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (s ymbolic or numeric) [663] Underfull \hbox (badness 10000) in paragraph at lines 52392--52392 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ex-pected_shape\T1 /ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52424--52424 []\T1/ptm/m/it/10.95 ratio\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 52432--52434 []\T1/pcr/b/n/10.95 ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or Constant /Scalar Theano tensor of int* Underfull \hbox (badness 10000) in paragraph at lines 52455--52455 []\T1/ptm/m/it/10.95 ratio\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 52463--52465 []\T1/pcr/b/n/10.95 ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or Constant /Scalar Theano tensor of int* [664] Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ra-tio=None\T1 /ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 frac_ratio=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 batch_size=None\T1/ptm/m/n/10.95 , Overfull \hbox (30.15506pt too wide) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 num_input_channels=None\T1/ptm/m/n/10.95 , Overfull \hbox (6.05402pt too wide) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 use_1D_kernel=True\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52501--52506 []\T1/pcr/b/n/10.95 frac_ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tupl e of int or tuple of tuples of [665] Underfull \hbox (badness 10000) in paragraph at lines 52558--52559 []\T1/pcr/b/n/10.95 kshp \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 List/tuple of le ngth \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 convdim\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , indicating the Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 5022) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 in-put_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub- sam- Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 ple=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_flip=Tru e\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 fil-ter_dilation=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- Underfull \hbox (badness 10000) in paragraph at lines 52602--52608 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/in t/Constant] * 2 + [Tensor/int/ [666] Overfull \hbox (18.69075pt too wide) in paragraph at lines 52653--52653 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ker- Overfull \hbox (5.52887pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 out- Overfull \hbox (6.14214pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 bor- Overfull \hbox (4.91574pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (47.18211pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52658--52661 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52663--52666 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52668--52671 []\T1/pcr/b/n/10.95 output_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52673--52677 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 52679--52681 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two [667] LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v2d' on page 668 undefined on input line 52720. Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 []\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil-ters\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (1.96985pt too wide) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 bor- Overfull \hbox (8.53983pt too wide) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/1 0.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 un- [668] Underfull \hbox (badness 10000) in paragraph at lines 52754--52761 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/int /Constant] * 2 + [Tensor/int/ Underfull \hbox (badness 10000) in paragraph at lines 52770--52772 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 52798--52801 []\T1/ptm/m/n/10.95 pad in-put [669] Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 put_grad\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.36867pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 bor- Overfull \hbox (15.10982pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 fil- Overfull \hbox (3.07567pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (1.97025pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 un- [670] Underfull \hbox (badness 10000) in paragraph at lines 52894--52896 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 52922--52925 []\T1/ptm/m/n/10.95 pad in-put [671] Underfull \hbox (badness 10000) in paragraph at lines 53006--53010 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53012--53016 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53024--53026 []\T1/ptm/m/n/10.95 Generates [672] Underfull \hbox (badness 10000) in paragraph at lines 53027--53031 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 53032--53034 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 []\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 fil-ters\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (1.96985pt too wide) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 bor- Overfull \hbox (8.53983pt too wide) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [673] Underfull \hbox (badness 10000) in paragraph at lines 53109--53116 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/int /Constant] * 2 + [Tensor/int/ [674] Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 put_grad\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.36867pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 bor- Overfull \hbox (15.10982pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 fil- Overfull \hbox (3.07567pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (5.80275pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53222--53227 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/in t/Constant] * 2 + [Tensor/int/ [675] Underfull \hbox (badness 10000) in paragraph at lines 53314--53314 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , [676] Overfull \hbox (6.26228pt too wide) in paragraph at lines 53360--53360 []\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (30.20963pt too wide) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (18.94273pt too wide) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53369--53372 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53374--53377 []\T1/pcr/b/n/10.95 top_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) [677] Underfull \hbox (badness 10000) in paragraph at lines 53379--53383 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53385--53387 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two Underfull \hbox (badness 10000) in paragraph at lines 53393--53394 []\T1/pcr/b/n/10.95 num_groups \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 An int whi ch specifies the number of Underfull \hbox (badness 10000) in paragraph at lines 53396--53397 []\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend Overfull \hbox (45.68224pt too wide) in paragraph at lines 53414--53414 []\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 , Overfull \hbox (32.4221pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 bor- Overfull \hbox (31.19571pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 sam- Overfull \hbox (0.78772pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 di- Underfull \hbox (badness 10000) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 la- Overfull \hbox (8.27748pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53422--53423 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or N one. Corresponds to the kernel [678] Underfull \hbox (badness 10000) in paragraph at lines 53434--53435 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53437--53438 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Overfull \hbox (12.12076pt too wide) in paragraph at lines 53454--53454 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (36.77962pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (21.68022pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 un- Overfull \hbox (18.6905pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53463--53466 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int corresponding to the input Underfull \hbox (badness 10000) in paragraph at lines 53468--53471 []\T1/pcr/b/n/10.95 top_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53473--53477 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53479--53481 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two [679] Underfull \hbox (badness 10000) in paragraph at lines 53487--53488 []\T1/pcr/b/n/10.95 num_groups \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 An int whi ch specifies the number of Underfull \hbox (badness 8019) in paragraph at lines 53490--53491 []\T1/pcr/b/n/10.95 unshared \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Boolean valu e. If true, unshared convolution Overfull \hbox (51.54071pt too wide) in paragraph at lines 53509--53509 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Overfull \hbox (38.9921pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 bor- Overfull \hbox (37.7657pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 sam- Overfull \hbox (7.35771pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 di- Overfull \hbox (3.4048pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 la- Overfull \hbox (14.84747pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53518--53519 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or No ne. Corresponds to the input Underfull \hbox (badness 10000) in paragraph at lines 53530--53531 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53533--53534 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 sub-sam-ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (7.76216pt too wide) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 ) [680] Underfull \hbox (badness 10000) in paragraph at lines 53555--53558 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53560--53568 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53570--53574 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53576--53578 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two Underfull \hbox (badness 10000) in paragraph at lines 53583--53584 []\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 sub-sam-ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la- Underfull \hbox (badness 10000) in paragraph at lines 53606--53607 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or No ne. Corresponds to the input [681] Underfull \hbox (badness 10000) in paragraph at lines 53609--53610 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or N one. Corresponds to the kernel Underfull \hbox (badness 10000) in paragraph at lines 53618--53619 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53621--53622 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 depth-wise_fil ters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 num_channels\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 point- Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53662--53666 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int or [682] Underfull \hbox (badness 10000) in paragraph at lines 53668--53672 []\T1/pcr/b/n/10.95 depthwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 4 of Underfull \hbox (badness 10000) in paragraph at lines 53674--53678 []\T1/pcr/b/n/10.95 pointwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 4 of Underfull \hbox (badness 10000) in paragraph at lines 53687--53689 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 53690--53694 [] Underfull \hbox (badness 10000) in paragraph at lines 53695--53697 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 53698--53700 []\T1/ptm/m/n/10.95 and Underfull \hbox (badness 10000) in paragraph at lines 53705--53708 [] [683] Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 depth-wise_fil ters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 num_channels\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 point- Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53766--53770 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53772--53776 []\T1/pcr/b/n/10.95 depthwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 5 of Underfull \hbox (badness 10000) in paragraph at lines 53778--53782 []\T1/pcr/b/n/10.95 pointwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 5 of [684] Underfull \hbox (badness 10000) in paragraph at lines 53791--53793 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 53794--53798 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 53799--53801 []\T1/ptm/m/n/10.95 width, then LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 685 undefined on input line 53846. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.ultra_fast_sigmoid' on page 685 undefined on input line 53849. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.hard_sigmoid' on page 685 undefined on input line 53852. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.softplus' on page 685 undefined on input line 53861. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.softmax' on page 685 undefined on input line 53864. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.softsign' on page 685 undefined on input line 53867. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.rel u' on page 685 undefined on input line 53870. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.elu ' on page 685 undefined on input line 53873. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.sel u' on page 685 undefined on input line 53876. [685] LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.binary_crossentropy' on page 686 undefined on input line 53879. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid_binary_crossentropy' on page 686 undefined on input line 53882. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.categorical_crossentropy' on page 686 undefined on input line 53885. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.h_s oftmax' on page 686 undefined on input line 53888. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.ultra_fast_sigmoid' on page 686 undefined on input line 53913. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.hard_sigmoid' on page 686 undefined on input line 53913. Underfull \hbox (badness 10000) in paragraph at lines 53930--53931 []\T1/ptm/m/n/10.95 Precision: sig-moid(with or with-out amdlibm) > ul-tra_fast _sigmoid > [686] LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 687 undefined on input line 53959. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 687 undefined on input line 53970. [687 <./sigmoid_prec.png>] LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 688 undefined on input line 53999. LaTeX Warning: Hyper reference `library/tensor/nnet/nnet:theano.tensor.nnet.nne t.sigmoid' on page 688 undefined on input line 54010. [688] [689] Underfull \hbox (badness 10000) in paragraph at lines 54230--54232 []\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise [690] Underfull \hbox (badness 10000) in paragraph at lines 54270--54272 []\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise [691] [692] Underfull \hbox (badness 10000) in paragraph at lines 54407--54410 []\T1/pcr/b/n/10.95 W2 \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tensor of shape (n _classes, number of features of Underfull \hbox (badness 10000) in paragraph at lines 54415--54420 []\T1/pcr/b/n/10.95 target \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tensor of shap e either (batch_size,) or [693] LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:theano.tensor.nn et.neighbours.images2neibs' on page 694 undefined on input line 54509. [694] Underfull \hbox (badness 10000) in paragraph at lines 54538--54538 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 valid\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pc r/m/sl/10.95 '\T1/pcr/m/sl/10.95 ignore_borders\TS1/pcr/m/sl/10.95 '\T1/pcr/m/s l/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 wrap_centered\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , [695] [696] LaTeX Warning: Hyper reference `library/tensor/basic:indexing' on page 697 unde fined on input line 54690. LaTeX Warning: Hyper reference `library/scan:lib-scan' on page 697 undefined on input line 54693. Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 axes='per-activation'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 ep-silon=0.0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run- Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 ning_average_factor=0.1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 , [697] Underfull \hbox (badness 10000) in paragraph at lines 54800--54800 \T1/ptm/m/it/10.95 var\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axes='per-activati on'\T1/ptm/m/n/10.95 , [698] LaTeX Warning: Hyper reference `library/gpuarray/dnn:theano.gpuarray.dnn.dnn_ba tch_normalization_train' on page 699 undefined on input line 54865. [699] [700] Underfull \hbox (badness 10000) in paragraph at lines 54995--54997 []\T1/ptm/m/n/10.95 Which blocks [701 <./blocksparse.png>] [702] [703] [704] Overfull \hbox (77.97385pt too wide) in paragraph at lines 55299--55299 []\T1/ptm/m/it/10.95 compute_grad=True\T1/ptm/m/n/10.95 , Overfull \hbox (56.41356pt too wide) in paragraph at lines 55299--55299 \T1/ptm/m/it/10.95 openmp=None\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 5260) in paragraph at lines 55318--55320 []\T1/ptm/m/n/10.95 Raw ran-dom pro-vides the random-number draw-ing func-tion- al-ity, that un-der-lies the friendlier LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:theano.tens or.shared_randomstreams.RandomStreams' on page 705 undefined on input line 5532 8. [705] [706] Underfull \hbox (badness 10000) in paragraph at lines 55525--55525 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 n=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10 .95 p=0.5\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 55542--55542 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 avg=0.0\T1/ptm/m/n/10.95 , \T1/ptm/m/i t/10.95 std=1.0\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 55559--55559 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 low=0\T1/ptm/m/n/10.95 , [707] LaTeX Warning: Hyper reference `tutorial/examples:using-random-numbers' on page 708 undefined on input line 55634. [708] Overfull \hbox (77.18507pt too wide) in paragraph at lines 55641--55641 []\T1/ptm/m/it/10.95 raw_random.RandomStreamsBase\T1/pcr/m/n/10.95 ) LaTeX Warning: Hyper reference `library/tensor/shared_randomstreams:theano.tens or.shared_randomstreams.RandomVariable' on page 709 undefined on input line 556 81. [709] LaTeX Warning: Hyper reference `library/tensor/signal/conv:theano.tensor.signal .conv.conv2d' on page 710 undefined on input line 55744. LaTeX Warning: Hyper reference `library/tensor/nnet/conv:theano.tensor.nnet.con v.conv2d' on page 710 undefined on input line 55745. Underfull \hbox (badness 10000) in paragraph at lines 55756--55756 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 im-age_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m /it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 55756--55756 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor-der _mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 55766--55767 []\T1/pcr/b/n/10.95 input \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Symbolic theano tensor for images to be Underfull \hbox (badness 10000) in paragraph at lines 55769--55770 []\T1/pcr/b/n/10.95 filters \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Symbolic thea no tensor for convolution LaTeX Warning: Hyper reference `library/tensor/nnet/neighbours:theano.tensor.nn et.neighbours.images2neibs' on page 710 undefined on input line 55815. Underfull \hbox (badness 10000) in paragraph at lines 55821--55821 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ws=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 ig-nore_border=None\T1/ptm/m/n/10.95 , [710] Underfull \hbox (badness 6741) in paragraph at lines 55833--55835 []\T1/pcr/b/n/10.95 ws \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of length 2 or theano vector of ints of size Underfull \hbox (badness 10000) in paragraph at lines 55841--55845 []\T1/pcr/b/n/10.95 stride \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of two i nts or theano vector of ints of Underfull \hbox (badness 10000) in paragraph at lines 55852--55855 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 sum\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS 1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , Underfull \hbox (badness 6741) in paragraph at lines 55885--55887 []\T1/pcr/b/n/10.95 patch_size \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of l ength 2 or theano vector of ints Underfull \hbox (badness 10000) in paragraph at lines 55897--55897 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ws=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 ig-nore_border=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 7558) in paragraph at lines 55897--55897 \T1/ptm/m/it/10.95 stride=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pad=(0\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 0\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 0)\T 1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 mode='max'\T1/ptm/m/n/10.95 , [711] Underfull \hbox (badness 6741) in paragraph at lines 55909--55911 []\T1/pcr/b/n/10.95 ws \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of length 3 or theano vector of ints of size Underfull \hbox (badness 10000) in paragraph at lines 55917--55920 []\T1/pcr/b/n/10.95 st \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of three int s or theano vector of ints of Underfull \hbox (badness 10000) in paragraph at lines 55928--55931 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 sum\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS 1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , [712] [713] [714] LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi on' on page 715 undefined on input line 56167. [715] [716] Underfull \hbox (badness 10000) in paragraph at lines 56347--56347 []\T1/ptm/m/it/10.95 input_broadcastable\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 new_order\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- [717] [718] Underfull \hbox (badness 10000) in paragraph at lines 56514--56514 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place_p attern=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 56514--56514 \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nfunc_spec=N one\T1/ptm/m/n/10.95 , [719] LaTeX Warning: Hyper reference `extending/extending_theano_c:c_code_cache_versi on' on page 720 undefined on input line 56665. [720] [721] Underfull \hbox (badness 10000) in paragraph at lines 56822--56822 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [722] Underfull \hbox (badness 10000) in paragraph at lines 56898--56898 []\T1/ptm/m/it/10.95 axis=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype=None \T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 , [723] Underfull \hbox (badness 10000) in paragraph at lines 56990--56990 []\T1/ptm/m/it/10.95 axis=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype=None \T1/ptm/m/n/10.95 , [724] [725] [726] [727] [728] [729] [730] LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.searchsorted' on page 731 undefined on input line 57677. LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.searchsorted' on page 731 undefined on input line 57683. [731] [732] Underfull \hbox (badness 10000) in paragraph at lines 57865--57865 []\T1/ptm/m/it/10.95 return_index=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 r e-turn_inverse=False\T1/ptm/m/n/10.95 , [733] Underfull \hbox (badness 10000) in paragraph at lines 58021--58021 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 weights=None\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 min-length=None\T1/ptm/m/n/10.95 , \T1/ptm/m/i t/10.95 as- [734] Underfull \hbox (badness 10000) in paragraph at lines 58037--58038 []\T1/pcr/b/n/10.95 weights \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 array of the same shape as x with Underfull \hbox (badness 10000) in paragraph at lines 58040--58041 []\T1/pcr/b/n/10.95 minlength \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 A minimum n umber of bins for the output Underfull \hbox (badness 10000) in paragraph at lines 58043--58045 []\T1/pcr/b/n/10.95 assert_nonneg \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 A flag that inserts an assert_op to [735] [736] LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.unravel_index' on page 737 undefined on input line 58279. [737] [738] LaTeX Warning: Hyper reference `library/tensor/extra_ops:theano.tensor.extra_op s.ravel_multi_index' on page 739 undefined on input line 58496. [739] LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.load' on pag e 740 undefined on input line 58510. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.LoadFromDisk ' on page 740 undefined on input line 58510. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.isend' on pa ge 740 undefined on input line 58518. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.irecv' on pa ge 740 undefined on input line 58518. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.send' on pag e 740 undefined on input line 58521. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.recv' on pag e 740 undefined on input line 58521. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.load' on pag e 740 undefined on input line 58537. [740] LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPIRecv' on page 741 undefined on input line 58603. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPIRecv' on page 741 undefined on input line 58681. [741] LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPIRecv' on page 742 undefined on input line 58747. LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPISendWait' on page 742 undefined on input line 58747. [742] LaTeX Warning: Hyper reference `library/tensor/io:theano.tensor.io.MPISend' on page 743 undefined on input line 58813. [743] [744] [745] Underfull \hbox (badness 10000) in paragraph at lines 59111--59111 []\T1/ptm/m/it/10.95 main\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-verse\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 re-cip-ro-cal\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 cal-cu-late\T1/ptm/m/n/10.95 , [746] [747] [748] [749] [750] [751] [752] Underfull \hbox (badness 10000) in paragraph at lines 59738--59740 []\T1/pcr/b/n/10.95 override \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 If False, it mean r is a new object in the [753] Underfull \hbox (badness 10000) in paragraph at lines 59855--59857 \T1/ptm/m/n/10.95 Apply as many times as re-quired the op-ti-miza-tion lo-cal_u seless_rebroadcast and lo- [754] Underfull \hbox (badness 10000) in paragraph at lines 59977--59977 []\T1/ptm/m/it/10.95 OP\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 max_input_fct=] [774] [775] [776] [777] [778] [779] [780] [781] Underfull \hbox (badness 10000) in paragraph at lines 62480--62480 []\T1/ptm/m/it/10.95 type\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 owner=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 in- [782] [783] Underfull \hbox (badness 10000) in paragraph at lines 62676--62680 []\T1/ptm/m/n/10.95 Theano [784] LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.function' on page 785 undefined on input line 62775. LaTeX Warning: Hyper reference `library/compile/function:theano.compile.functio n.function_dump' on page 785 undefined on input line 62783. LaTeX Warning: Hyper reference `library/compile/shared:theano.compile.sharedval ue.shared' on page 785 undefined on input line 62791. LaTeX Warning: Hyper reference `library/tensor/basic:theano.tensor.dot' on page 785 undefined on input line 62807. Underfull \hbox (badness 10000) in paragraph at lines 62849--62851 []\T1/ptm/m/n/10.95 Currently only vari-able cre-ated by Ad-vanced-Sub-ten-sor1 is sup-ported. i.e. LaTeX Warning: Hyper reference `troubleshooting:macos' on page 785 undefined on input line 62860. [785] LaTeX Warning: Hyper reference `troubleshooting:network-error-proxy' on page 78 6 undefined on input line 62863. LaTeX Warning: Hyper reference `troubleshooting:slow-or-memory' on page 786 und efined on input line 62866. LaTeX Warning: Hyper reference `troubleshooting:tensorvariable-typeerror' on pa ge 786 undefined on input line 62869. LaTeX Warning: Hyper reference `troubleshooting:out-of-memory' on page 786 unde fined on input line 62872. LaTeX Warning: Hyper reference `troubleshooting:float64-output' on page 786 und efined on input line 62875. LaTeX Warning: Hyper reference `troubleshooting:test-theano' on page 786 undefi ned on input line 62878. LaTeX Warning: Hyper reference `troubleshooting:test-blas' on page 786 undefine d on input line 62881. [786] LaTeX Warning: Hyper reference `library/config:config.device' on page 787 undef ined on input line 62986. LaTeX Warning: Hyper reference `library/config:config.force_device' on page 787 undefined on input line 62987. [787] LaTeX Warning: Hyper reference `library/gpuarray/dnn:libdoc-gpuarray-dnn' on pa ge 788 undefined on input line 63000. LaTeX Warning: Hyper reference `library/config:config.allow_gc' on page 788 und efined on input line 63017. LaTeX Warning: Hyper reference `library/tensor/nnet/bn:theano.tensor.nnet.bn.ba tch_normalization' on page 788 undefined on input line 63033. LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 788 undef ined on input line 63068. LaTeX Warning: Hyper reference `library/config:envvar-THEANO_FLAGS' on page 788 undefined on input line 63076. [788] LaTeX Warning: Hyper reference `library/config:libdoc-config' on page 789 undef ined on input line 63092. [789] Underfull \hbox (badness 10000) in paragraph at lines 63154--63155 []\T1/ptm/m/n/10.95 ImportError: (`/home/Nick/.theano/compiledir_Linux-2.6.35-3 1-generic-x86_64-with- Underfull \hbox (badness 10000) in paragraph at lines 63154--63155 \T1/ptm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109 a06ca04b360.so: un-de- [790] LaTeX Warning: Hyper reference `glossary:term-op' on page 791 undefined on inpu t line 63239. LaTeX Warning: Hyper reference `glossary:term-variable' on page 791 undefined o n input line 63240. LaTeX Warning: Hyper reference `glossary:term-variable' on page 791 undefined o n input line 63241. LaTeX Warning: Hyper reference `tutorial/broadcasting:tutbroadcasting' on page 791 undefined on input line 63251. LaTeX Warning: Hyper reference `glossary:term-broadcasting' on page 791 undefin ed on input line 63280. LaTeX Warning: Hyper reference `glossary:term-apply' on page 791 undefined on i nput line 63283. LaTeX Warning: Hyper reference `glossary:term-variable' on page 791 undefined o n input line 63286. LaTeX Warning: Hyper reference `glossary:term-apply' on page 791 undefined on i nput line 63287. LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 791 unde fined on input line 63289. LaTeX Warning: Hyper reference `glossary:term-variable' on page 791 undefined o n input line 63291. LaTeX Warning: Hyper reference `glossary:term-op' on page 791 undefined on inpu t line 63291. LaTeX Warning: Hyper reference `glossary:term-apply' on page 791 undefined on i nput line 63291. LaTeX Warning: Hyper reference `glossary:term-type' on page 791 undefined on in put line 63292. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 791 undefined on input line 63292. [791] LaTeX Warning: Hyper reference `glossary:term-op' on page 792 undefined on inpu t line 63295. LaTeX Warning: Hyper reference `glossary:term-inplace' on page 792 undefined on input line 63297. LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 792 unde fined on input line 63300. LaTeX Warning: Hyper reference `glossary:term-expression-graph' on page 792 und efined on input line 63308. LaTeX Warning: Hyper reference `glossary:term-destructive' on page 792 undefine d on input line 63315. LaTeX Warning: Hyper reference `glossary:term-mode' on page 792 undefined on in put line 63319. LaTeX Warning: Hyper reference `glossary:term-optimizer' on page 792 undefined on input line 63323. LaTeX Warning: Hyper reference `glossary:term-linker' on page 792 undefined on input line 63323. LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 792 unde fined on input line 63324. LaTeX Warning: Hyper reference `glossary:term-apply' on page 792 undefined on i nput line 63328. LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o n input line 63335. LaTeX Warning: Hyper reference `glossary:term-type' on page 792 undefined on in put line 63335. LaTeX Warning: Hyper reference `glossary:term-apply' on page 792 undefined on i nput line 63335. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 792 undefined on input line 63336. LaTeX Warning: Hyper reference `extending/optimization:Optimizer' on page 792 u ndefined on input line 63339. LaTeX Warning: Hyper reference `glossary:term-optimization' on page 792 undefin ed on input line 63340. LaTeX Warning: Hyper reference `glossary:term-graph' on page 792 undefined on i nput line 63343. LaTeX Warning: Hyper reference `glossary:term-optimizer' on page 792 undefined on input line 63343. LaTeX Warning: Hyper reference `glossary:term-graph' on page 792 undefined on i nput line 63344. LaTeX Warning: Hyper reference `glossary:term-theano-function' on page 792 unde fined on input line 63344. LaTeX Warning: Hyper reference `glossary:term-op' on page 792 undefined on inpu t line 63347. LaTeX Warning: Hyper reference `glossary:term-destructive' on page 792 undefine d on input line 63347. LaTeX Warning: Hyper reference `glossary:term-constant' on page 792 undefined o n input line 63352. LaTeX Warning: Hyper reference `glossary:term-shared-variable' on page 792 unde fined on input line 63352. LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o n input line 63355. LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o n input line 63363. LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o n input line 63366. LaTeX Warning: Hyper reference `glossary:term-variable' on page 792 undefined o n input line 63368. LaTeX Warning: Hyper reference `glossary:term-op' on page 792 undefined on inpu t line 63368. LaTeX Warning: Hyper reference `glossary:term-apply' on page 792 undefined on i nput line 63368. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 792 undefined on input line 63369. [792] LaTeX Warning: Hyper reference `glossary:term-type' on page 793 undefined on in put line 63382. LaTeX Warning: Hyper reference `glossary:term-op' on page 793 undefined on inpu t line 63382. LaTeX Warning: Hyper reference `glossary:term-apply' on page 793 undefined on i nput line 63382. LaTeX Warning: Hyper reference `extending/graphstructures:graphstructures' on p age 793 undefined on input line 63383. LaTeX Warning: Hyper reference `glossary:term-destructive' on page 793 undefine d on input line 63391. [793] [794] LaTeX Warning: Hyper reference `dev_start_guide:dev-start-guide' on page 795 un defined on input line 63604. [795] [796] [797] [798] [799] [800] [801] [802] LaTeX Warning: Reference `library/compile/index:module-compile' on page 803 und efined on input line 64157. LaTeX Warning: Reference `library/config:module-config' on page 803 undefined o n input line 64158. LaTeX Warning: Reference `library/tensor/signal/conv:module-conv' on page 803 u ndefined on input line 64159. LaTeX Warning: Reference `library/tensor/signal/downsample:module-downsample' o n page 803 undefined on input line 64162. LaTeX Warning: Reference `library/gof/index:module-gof' on page 803 undefined o n input line 64165. LaTeX Warning: Reference `library/gradient:module-gradient' on page 803 undefin ed on input line 64166. LaTeX Warning: Reference `library/tensor/signal/pool:module-pool' on page 803 u ndefined on input line 64169. LaTeX Warning: Reference `library/sandbox/index:module-sandbox' on page 803 und efined on input line 64172. LaTeX Warning: Reference `library/sandbox/linalg:module-sandbox.linalg' on page 803 undefined on input line 64173. LaTeX Warning: Reference `library/sandbox/neighbours:module-sandbox.neighbours' on page 803 undefined on input line 64174. LaTeX Warning: Reference `library/sandbox/rng_mrg:module-sandbox.rng_mrg' on pa ge 803 undefined on input line 64175. LaTeX Warning: Reference `library/tensor/signal/index:module-signal' on page 80 3 undefined on input line 64176. LaTeX Warning: Reference `library/sparse/index:module-sparse' on page 803 undef ined on input line 64177. LaTeX Warning: Reference `library/sparse/sandbox:module-sparse.sandbox' on page 803 undefined on input line 64178. LaTeX Warning: Reference `library/tensor/index:module-tensor' on page 803 undef ined on input line 64181. LaTeX Warning: Reference `library/tensor/elemwise:module-tensor.elemwise' on pa ge 803 undefined on input line 64182. LaTeX Warning: Reference `library/tensor/extra_ops:module-tensor.extra_ops' on page 803 undefined on input line 64183. LaTeX Warning: Reference `library/tensor/io:module-tensor.io' on page 803 undef ined on input line 64184. LaTeX Warning: Reference `library/tensor/nlinalg:module-tensor.nlinalg' on page 803 undefined on input line 64185. LaTeX Warning: Reference `library/tensor/nnet/blocksparse:module-tensor.nnet.bl ocksparse' on page 803 undefined on input line 64186. LaTeX Warning: Reference `library/tensor/nnet/bn:module-tensor.nnet.bn' on page 803 undefined on input line 64187. LaTeX Warning: Reference `library/tensor/opt:module-tensor.opt' on page 803 und efined on input line 64188. LaTeX Warning: Reference `library/tensor/slinalg:module-tensor.slinalg' on page 803 undefined on input line 64189. LaTeX Warning: Reference `library/tensor/utils:module-tensor.utils' on page 803 undefined on input line 64190. LaTeX Warning: Reference `library/index:module-theano' on page 803 undefined on input line 64191. LaTeX Warning: Reference `library/compile/debugmode:module-theano.compile.debug mode' on page 803 undefined on input line 64192. Underfull \hbox (badness 10000) in paragraph at lines 64192--64193 []\T1/pcr/m/n/10.95 theano.compile.debugmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 Unix, Win- LaTeX Warning: Reference `library/compile/function:module-theano.compile.functi on' on page 803 undefined on input line 64193. LaTeX Warning: Reference `library/compile/io:module-theano.compile.io' on page 803 undefined on input line 64194. LaTeX Warning: Reference `library/compile/mode:module-theano.compile.mode' on p age 803 undefined on input line 64195. LaTeX Warning: Reference `library/compile/nanguardmode:module-theano.compile.na nguardmode' on page 803 undefined on input line 64196. Underfull \hbox (badness 10000) in paragraph at lines 64196--64197 []\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 Unix, LaTeX Warning: Reference `library/compile/ops:module-theano.compile.ops' on pag e 803 undefined on input line 64197. LaTeX Warning: Reference `library/compile/shared:module-theano.compile.sharedva lue' on page 803 undefined on input line 64198. LaTeX Warning: Reference `library/d3viz/index:module-theano.d3viz' on page 803 undefined on input line 64199. LaTeX Warning: Reference `library/d3viz/index:module-theano.d3viz.d3viz' on pag e 803 undefined on input line 64200. LaTeX Warning: Reference `library/gof/fgraph:module-theano.gof.fg' on page 803 undefined on input line 64201. LaTeX Warning: Reference `library/gof/graph:module-theano.gof.graph' on page 80 3 undefined on input line 64202. LaTeX Warning: Reference `library/gof/params_type:module-theano.gof.params_type ' on page 803 undefined on input line 64203. LaTeX Warning: Reference `library/gof/toolbox:module-theano.gof.toolbox' on pag e 803 undefined on input line 64204. LaTeX Warning: Reference `library/gof/type:module-theano.gof.type' on page 803 undefined on input line 64205. LaTeX Warning: Reference `library/gof/utils:module-theano.gof.utils' on page 80 3 undefined on input line 64206. LaTeX Warning: Reference `library/gpuarray/index:module-theano.gpuarray' on pag e 803 undefined on input line 64207. LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.basic_ops' on page 803 undefined on input line 64208. LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.blas' on p age 803 undefined on input line 64209. LaTeX Warning: Reference `library/gpuarray/ctc:module-theano.gpuarray.ctc' on p age 803 undefined on input line 64210. LaTeX Warning: Reference `library/gpuarray/dnn:module-theano.gpuarray.dnn' on p age 803 undefined on input line 64211. LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.elemwise' on page 803 undefined on input line 64212. LaTeX Warning: Reference `library/gpuarray/fft:module-theano.gpuarray.fft' on p age 803 undefined on input line 64213. LaTeX Warning: Reference `library/gpuarray/extra:module-theano.gpuarray.fp16_he lp' on page 803 undefined on input line 64214. LaTeX Warning: Reference `library/gpuarray/extra:module-theano.gpuarray.kernel_ codegen' on page 803 undefined on input line 64215. LaTeX Warning: Reference `library/gpuarray/linalg:module-theano.gpuarray.linalg ' on page 803 undefined on input line 64216. LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.neighbours ' on page 803 undefined on input line 64217. LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.nnet' on p age 803 undefined on input line 64218. LaTeX Warning: Reference `library/gpuarray/extra:module-theano.gpuarray.opt_uti l' on page 803 undefined on input line 64219. LaTeX Warning: Reference `library/gpuarray/op:module-theano.gpuarray.subtensor' on page 803 undefined on input line 64220. LaTeX Warning: Reference `library/gpuarray/type:module-theano.gpuarray.type' on page 803 undefined on input line 64221. LaTeX Warning: Reference `library/gradient:module-theano.gradient' on page 803 undefined on input line 64222. LaTeX Warning: Reference `dev_start_guide:module-theano.misc.doubleop' on page 803 undefined on input line 64223. LaTeX Warning: Reference `library/printing:module-theano.printing' on page 803 undefined on input line 64224. [803] LaTeX Warning: Reference `library/sandbox/linalg:module-theano.sandbox.linalg.o ps' on page 804 undefined on input line 64225. LaTeX Warning: Reference `library/sandbox/rng_mrg:module-theano.sandbox.rng_mrg ' on page 804 undefined on input line 64226. LaTeX Warning: Reference `library/scan:module-theano.scan_module' on page 804 u ndefined on input line 64227. LaTeX Warning: Reference `library/sparse/index:module-theano.sparse.basic' on p age 804 undefined on input line 64228. LaTeX Warning: Reference `library/sparse/sandbox:module-theano.sparse.sandbox.s p' on page 804 undefined on input line 64229. LaTeX Warning: Reference `library/sparse/sandbox:module-theano.sparse.sandbox.s p2' on page 804 undefined on input line 64230. LaTeX Warning: Reference `library/sparse/sandbox:module-theano.sparse.sandbox.t ruedot' on page 804 undefined on input line 64231. LaTeX Warning: Reference `library/tensor/elemwise:module-theano.tensor.elemwise ' on page 804 undefined on input line 64232. LaTeX Warning: Reference `library/tensor/extra_ops:module-theano.tensor.extra_o ps' on page 804 undefined on input line 64233. LaTeX Warning: Reference `library/tensor/fft:module-theano.tensor.fft' on page 804 undefined on input line 64234. LaTeX Warning: Reference `library/tensor/io:module-theano.tensor.io' on page 80 4 undefined on input line 64235. LaTeX Warning: Reference `library/tensor/nlinalg:module-theano.tensor.nlinalg' on page 804 undefined on input line 64236. LaTeX Warning: Reference `library/tensor/nnet/index:module-theano.tensor.nnet' on page 804 undefined on input line 64237. LaTeX Warning: Reference `library/tensor/nnet/conv:module-theano.tensor.nnet.ab stract_conv' on page 804 undefined on input line 64238. LaTeX Warning: Reference `library/tensor/nnet/blocksparse:module-theano.tensor. nnet.blocksparse' on page 804 undefined on input line 64239. LaTeX Warning: Reference `library/tensor/nnet/ctc:module-theano.tensor.nnet.ctc ' on page 804 undefined on input line 64240. LaTeX Warning: Reference `library/tensor/nnet/neighbours:module-theano.tensor.n net.neighbours' on page 804 undefined on input line 64241. Underfull \hbox (badness 10000) in paragraph at lines 64241--64242 []\T1/pcr/m/n/10.95 theano.tensor.nnet.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 Unix, LaTeX Warning: Reference `library/tensor/nnet/nnet:module-theano.tensor.nnet.nn et' on page 804 undefined on input line 64242. LaTeX Warning: Reference `library/tensor/opt:module-theano.tensor.opt' on page 804 undefined on input line 64243. LaTeX Warning: Reference `library/tensor/raw_random:module-theano.tensor.raw_ra ndom' on page 804 undefined on input line 64244. LaTeX Warning: Reference `library/tensor/shared_randomstreams:module-theano.ten sor.shared_randomstreams' on page 804 undefined on input line 64245. Underfull \hbox (badness 10000) in paragraph at lines 64245--64246 []\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams LaTeX Warning: Reference `library/tensor/slinalg:module-theano.tensor.slinalg' on page 804 undefined on input line 64246. LaTeX Warning: Reference `library/tensor/utils:module-theano.tensor.utils' on p age 804 undefined on input line 64247. LaTeX Warning: Reference `library/tests:module-theano.tests.breakpoint' on page 804 undefined on input line 64248. LaTeX Warning: Reference `library/typed_list:module-theano.typed_list.basic' on page 804 undefined on input line 64249. [804] No file theano.ind. Package longtable Warning: Table widths have changed. Rerun LaTeX. (./theano.aux) Package rerunfilecheck Warning: File `theano.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were undefined references. LaTeX Warning: Label(s) may have changed. Rerun to get cross-references right. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on theano.pdf (808 pages, 3585609 bytes). Transcript written on theano.log. Latexmk: Index file 'theano.idx' was written Latexmk: Missing input file: 'theano.ind' from line 'No file theano.ind.' Latexmk: References changed. Latexmk: References changed. Latexmk: Log file says output to 'theano.pdf' Latexmk: List of undefined refs and citations: Reference `dev_start_guide:module-theano.misc.doubleop' on page 803 undefined on input line 64223 Reference `library/compile/debugmode:module-theano.compile.debugmode' on page 803 undefined on input line 64192 Reference `library/compile/function:module-theano.compile.function' on page 803 undefined on input line 64193 Reference `library/compile/index:module-compile' on page 803 undefined on input line 64157 Reference `library/compile/io:module-theano.compile.io' on page 803 undefined on input line 64194 Reference `library/compile/mode:module-theano.compile.mode' on page 803 undefined on input line 64195 Reference `library/compile/nanguardmode:module-theano.compile.nanguardmode' on page 803 undefined on input line 64196 Reference `library/compile/ops:module-theano.compile.ops' on page 803 undefined on input line 64197 Reference `library/compile/shared:module-theano.compile.sharedvalue' on page 803 undefined on input line 64198 Reference `library/config:module-config' on page 803 undefined on input line 64158 Reference `library/d3viz/index:module-theano.d3viz' on page 803 undefined on input line 64199 Reference `library/d3viz/index:module-theano.d3viz.d3viz' on page 803 undefined on input line 64200 Reference `library/gof/fgraph:module-theano.gof.fg' on page 803 undefined on input line 64201 Reference `library/gof/graph:module-theano.gof.graph' on page 803 undefined on input line 64202 Reference `library/gof/index:module-gof' on page 803 undefined on input line 64165 Reference `library/gof/params_type:module-theano.gof.params_type' on page 803 undefined on input line 64203 Reference `library/gof/toolbox:module-theano.gof.toolbox' on page 803 undefined on input line 64204 Reference `library/gof/type:module-theano.gof.type' on page 803 undefined on input line 64205 Reference `library/gof/utils:module-theano.gof.utils' on page 803 undefined on input line 64206 Reference `library/gpuarray/ctc:module-theano.gpuarray.ctc' on page 803 undefined on input line 64210 Reference `library/gpuarray/dnn:module-theano.gpuarray.dnn' on page 803 undefined on input line 64211 Reference `library/gpuarray/extra:module-theano.gpuarray.fp16_help' on page 803 undefined on input line 64214 Reference `library/gpuarray/extra:module-theano.gpuarray.kernel_codegen' on page 803 undefined on input line 64215 Reference `library/gpuarray/extra:module-theano.gpuarray.opt_util' on page 803 undefined on input line 64219 Reference `library/gpuarray/fft:module-theano.gpuarray.fft' on page 803 undefined on input line 64213 Reference `library/gpuarray/index:module-theano.gpuarray' on page 803 undefined on input line 64207 Reference `library/gpuarray/linalg:module-theano.gpuarray.linalg' on page 803 undefined on input line 64216 Reference `library/gpuarray/op:module-theano.gpuarray.basic_ops' on page 803 undefined on input line 64208 Reference `library/gpuarray/op:module-theano.gpuarray.blas' on page 803 undefined on input line 64209 Reference `library/gpuarray/op:module-theano.gpuarray.elemwise' on page 803 undefined on input line 64212 Reference `library/gpuarray/op:module-theano.gpuarray.neighbours' on page 803 undefined on input line 64217 Reference `library/gpuarray/op:module-theano.gpuarray.nnet' on page 803 undefined on input line 64218 Reference `library/gpuarray/op:module-theano.gpuarray.subtensor' on page 803 undefined on input line 64220 Reference `library/gpuarray/type:module-theano.gpuarray.type' on page 803 undefined on input line 64221 Reference `library/gradient:module-gradient' on page 803 undefined on input line 64166 Reference `library/gradient:module-theano.gradient' on page 803 undefined on input line 64222 Reference `library/index:module-theano' on page 803 undefined on input line 64191 Reference `library/printing:module-theano.printing' on page 803 undefined on input line 64224 Reference `library/sandbox/index:module-sandbox' on page 803 undefined on input line 64172 Reference `library/sandbox/linalg:module-sandbox.linalg' on page 803 undefined on input line 64173 Reference `library/sandbox/linalg:module-theano.sandbox.linalg.ops' on page 804 undefined on input line 64225 Reference `library/sandbox/neighbours:module-sandbox.neighbours' on page 803 undefined on input line 64174 Reference `library/sandbox/rng_mrg:module-sandbox.rng_mrg' on page 803 undefined on input line 64175 Reference `library/sandbox/rng_mrg:module-theano.sandbox.rng_mrg' on page 804 undefined on input line 64226 Reference `library/scan:module-theano.scan_module' on page 804 undefined on input line 64227 Reference `library/sparse/index:module-sparse' on page 803 undefined on input line 64177 Reference `library/sparse/index:module-theano.sparse.basic' on page 804 undefined on input line 64228 Reference `library/sparse/sandbox:module-sparse.sandbox' on page 803 undefined on input line 64178 Reference `library/sparse/sandbox:module-theano.sparse.sandbox.sp' on page 804 undefined on input line 64229 Reference `library/sparse/sandbox:module-theano.sparse.sandbox.sp2' on page 804 undefined on input line 64230 Reference `library/sparse/sandbox:module-theano.sparse.sandbox.truedot' on page 804 undefined on input line 64231 Reference `library/tensor/elemwise:module-tensor.elemwise' on page 803 undefined on input line 64182 Reference `library/tensor/elemwise:module-theano.tensor.elemwise' on page 804 undefined on input line 64232 Reference `library/tensor/extra_ops:module-tensor.extra_ops' on page 803 undefined on input line 64183 Reference `library/tensor/extra_ops:module-theano.tensor.extra_ops' on page 804 undefined on input line 64233 Reference `library/tensor/fft:module-theano.tensor.fft' on page 804 undefined on input line 64234 Reference `library/tensor/index:module-tensor' on page 803 undefined on input line 64181 Reference `library/tensor/io:module-tensor.io' on page 803 undefined on input line 64184 Reference `library/tensor/io:module-theano.tensor.io' on page 804 undefined on input line 64235 Reference `library/tensor/nlinalg:module-tensor.nlinalg' on page 803 undefined on input line 64185 Reference `library/tensor/nlinalg:module-theano.tensor.nlinalg' on page 804 undefined on input line 64236 Reference `library/tensor/nnet/blocksparse:module-tensor.nnet.blocksparse' on page 803 undefined on input line 64186 Reference `library/tensor/nnet/blocksparse:module-theano.tensor.nnet.blocksparse' on page 804 undefined on input line 64239 Reference `library/tensor/nnet/bn:module-tensor.nnet.bn' on page 803 undefined on input line 64187 Reference `library/tensor/nnet/conv:module-theano.tensor.nnet.abstract_conv' on page 804 undefined on input line 64238 Reference `library/tensor/nnet/ctc:module-theano.tensor.nnet.ctc' on page 804 undefined on input line 64240 Reference `library/tensor/nnet/index:module-theano.tensor.nnet' on page 804 undefined on input line 64237 Reference `library/tensor/nnet/neighbours:module-theano.tensor.nnet.neighbours' on page 804 undefined on input line 64241 Reference `library/tensor/nnet/nnet:module-theano.tensor.nnet.nnet' on page 804 undefined on input line 64242 Reference `library/tensor/opt:module-tensor.opt' on page 803 undefined on input line 64188 Reference `library/tensor/opt:module-theano.tensor.opt' on page 804 undefined on input line 64243 Reference `library/tensor/raw_random:module-theano.tensor.raw_random' on page 804 undefined on input line 64244 Reference `library/tensor/shared_randomstreams:module-theano.tensor.shared_randomstreams' on page 804 undefined on input line 64245 Reference `library/tensor/signal/conv:module-conv' on page 803 undefined on input line 64159 Reference `library/tensor/signal/downsample:module-downsample' on page 803 undefined on input line 64162 Reference `library/tensor/signal/index:module-signal' on page 803 undefined on input line 64176 Reference `library/tensor/signal/pool:module-pool' on page 803 undefined on input line 64169 Reference `library/tensor/slinalg:module-tensor.slinalg' on page 803 undefined on input line 64189 Reference `library/tensor/slinalg:module-theano.tensor.slinalg' on page 804 undefined on input line 64246 Reference `library/tensor/utils:module-tensor.utils' on page 803 undefined on input line 64190 Reference `library/tensor/utils:module-theano.tensor.utils' on page 804 undefined on input line 64247 Reference `library/tests:module-theano.tests.breakpoint' on page 804 undefined on input line 64248 Reference `library/typed_list:module-theano.typed_list.basic' on page 804 undefined on input line 64249 Rule 'makeindex theano.idx': File changes, etc: Changed files, or newly in use since previous run(s): 'theano.idx' Non-existent destination files: 'theano.ind' ------------ Run number 1 of rule 'makeindex theano.idx' ------------ ------------ Running 'makeindex -s python.ist -o "theano.ind" "theano.idx"' ------------ === TeX engine is 'pdfTeX' Latexmk: applying rule 'makeindex theano.idx'... This is makeindex, version 2.15 [TeX Live 2019/dev] (kpathsea + Thai support). Scanning style file ./python.ist.......done (7 attributes redefined, 0 ignored). Scanning input file theano.idx.....done (1966 entries accepted, 0 rejected). Sorting entries....................done (25116 comparisons). Generating output file theano.ind.....done (2553 lines written, 0 warnings). Output written in theano.ind. Transcript written in theano.ilg. Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'theano.aux' 'theano.ind' 'theano.out' ------------ Run number 2 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -recorder "theano.tex"' ------------ Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.19 (TeX Live 2019/dev/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./theano.tex LaTeX2e <2018-12-01> (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/22 v1.8.3 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2018/09/03 v1.4i Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size11.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v3.2a <2019/01/15> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip-2001-04-09.sty)) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) Writing index file theano.idx (./theano.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./theano.out) (./theano.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map} <./theano_logo_allblue_200x46.png>] [2] (./theano.toc) [1] [2] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) Package Fancyhdr Warning: \headheight is too small (12.0pt): Make it at least 13.59999pt. We now make it that large for the rest of the document. This may cause the page layout to be inconsistent, however. [1] [2] Chapter 1. [3] [4 <./talk2010.png>] Chapter 2. [5] [6] Chapter 3. [7] [8] Chapter 4. [9] [10] Chapter 5. [11] [12] Chapter 6. [13] [14] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-broadcastabl e' on page 46 undefined on input line 2774. [46] Underfull \hbox (badness 10000) in paragraph at lines 2779--2780 []\T1/ptm/b/n/10.95 byte\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 bscalar, bvector, bmatrix, brow, bcol, btensor3, btensor4, Underfull \hbox (badness 10000) in paragraph at lines 2782--2783 []\T1/ptm/b/n/10.95 16-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 wsca lar, wvector, wmatrix, wrow, wcol, wtensor3, Underfull \hbox (badness 10000) in paragraph at lines 2785--2786 []\T1/ptm/b/n/10.95 32-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 isca lar, ivector, imatrix, irow, icol, itensor3, Underfull \hbox (badness 10000) in paragraph at lines 2788--2789 []\T1/ptm/b/n/10.95 64-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 lsca lar, lvector, lmatrix, lrow, lcol, ltensor3, Underfull \hbox (badness 10000) in paragraph at lines 2791--2792 []\T1/ptm/b/n/10.95 float\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 fscalar, fvector , fmatrix, frow, fcol, ftensor3, ftensor4, Underfull \hbox (badness 10000) in paragraph at lines 2794--2795 []\T1/ptm/b/n/10.95 double\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 dscalar, dvecto r, dmatrix, drow, dcol, dtensor3, dtensor4, Underfull \hbox (badness 10000) in paragraph at lines 2797--2798 []\T1/ptm/b/n/10.95 complex\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 cscalar, cvect or, cmatrix, crow, ccol, ctensor3, ctensor4, [47] [48 <./logistic.png>] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58 <./dlogistic.png>] [59] [60] [61] [62] [63] [64] [65] Overfull \vbox (1.67064pt too high) detected at line 4001 [66] Overfull \vbox (3.27065pt too high) detected at line 4077 [67] [68] [69] Overfull \vbox (0.82033pt too high) detected at line 4223 [70] [71] [72] [73] [74 <./bcast.png>] [75] [76] [77] [78] LaTeX Warning: Hyper reference `install_macos:gpu-macos' on page 79 undefined o n input line 4765. [79] [80] [81] [82] [83] [84] Underfull \hbox (badness 10000) in paragraph at lines 5130--5131 []\T1/ptm/m/n/10.95 Abstractions to com-pile low-level CUDA code from Python (\ T1/pcr/m/n/10.95 pycuda.driver. [85] [86] [87] [88] [89] [90] [91] [92 <./numerical_no_padding_no_strides.pdf>] [93] [94 <./numerical_padding_strides.pdf>] [95 <./no_padding_no_strides.pdf>] [96] [97 <./arbitrary_padding_no_strides.pdf>] [98 <./same_padding_no_strides.p df>] [99] [100 <./full_padding_no_strides.pdf>] [101 <./no_padding_strides.pdf> ] [102 <./padding_strides.pdf>] [103 <./padding_strides_odd.pdf>] [104] [105] [106] [107] [108 <./no_padding_no_strides_transposed.pdf>] [109 <./arbitr ary_padding_no_strides_transposed.pdf>] [110] [111 <./same_padding_no_strides_t ransposed.pdf>] [112] [113 <./full_padding_no_strides_transposed.pdf>] [114 <./ no_padding_strides_transposed.pdf>] LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship8' on page 115 undefined on input line 6403. LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship11' on pag e 115 undefined on input line 6404. [115] [116 <./padding_strides_transposed.pdf>] [117 <./padding_strides_odd_tran sposed.pdf>] [118 <./dilation.pdf>] [119] [120 <./sep2D.jpg>] [121] [122] [123] Underfull \hbox (badness 10000) in paragraph at lines 6853--6856 [] Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/phv/m/n/10.95 short Overfull \hbox (34.68462pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 FAST_COMPILE| Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 compile.mode.Mode(linker=\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10 .95 py\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , Overfull \hbox (8.40465pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 FAST_RUN| Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 compile.mode.Mode(linker=\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10 .95 cvm\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , Overfull \hbox (14.97464pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 DebugMode| Underfull \hbox (badness 10000) in paragraph at lines 7039--7039 []\T1/ptm/m/n/10.95 Nan-Guard- Underfull \hbox (badness 10000) in paragraph at lines 7039--7039 []\T1/ptm/m/n/10.95 VERY [124] Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/phv/m/n/10.95 Com-pile Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/phv/m/n/10.95 Ex-e-cu-tion Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/ptm/m/n/10.95 o1 [125] Underfull \hbox (badness 10000) in paragraph at lines 7189--7195 []\T1/ptm/m/n/10.95 Theano pro-vides the func-tions \T1/pcr/m/n/10.95 theano.pr inting.pprint() \T1/ptm/m/n/10.95 and [][]\T1/pcr/m/sl/10.95 theano.printing. Underfull \hbox (badness 7133) in paragraph at lines 7196--7203 \T1/ptm/b/n/10.95 Note: \T1/ptm/m/n/10.95 When print-ing Theano func-tions, th ey can some-times be hard to read. To Underfull \hbox (badness 10000) in paragraph at lines 7196--7203 \T1/ptm/m/n/10.95 help with this, you can dis-able some Theano op-ti-miza-tions by us-ing the Theano flag: [126] [127] Overfull \hbox (132.49107pt too wide) in paragraph at lines 7299--7300 [] [128] Overfull \hbox (132.49107pt too wide) in paragraph at lines 7308--7309 [] [129 <./logreg_pydotprint_prediction2.png>] Overfull \hbox (659.4564pt too wide) in paragraph at lines 7317--7318 [] [130 <./logreg_pydotprint_predict2.png>] [131 <./logreg_pydotprint_train2.png>] [132 <./d3viz.png>] [133] Overfull \vbox (2.07271pt too high) detected at line 7485 [134] [135] [136] [137] Underfull \hbox (badness 10000) in paragraph at lines 7685--7687 []\T1/ptm/m/n/10.95 It is pos-si-ble to use this mode by pro-vid-ing the flag i n THEANO_FLAGS, such as: Underfull \hbox (badness 10000) in paragraph at lines 7685--7687 \T1/pcr/m/n/10.95 THEANO_FLAGS="float32,device=gpu,assert_no_cpu_op=\TS1/pcr/m/ n/10.95 '\T1/pcr/m/n/10.95 raise\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 " python test. [138] [139] Underfull \hbox (badness 10000) in paragraph at lines 7787--7792 \T1/ptm/b/n/10.95 Note: \T1/ptm/m/n/10.95 The Theano flags \T1/pcr/m/n/10.95 o ptimizer_including\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 optimizer_excluding \T1 /ptm/m/n/10.95 and Overfull \vbox (3.07274pt too high) detected at line 7844 [140] [141] [142] [143] Overfull \hbox (197.92802pt too wide) in paragraph at lines 8049--8049 [] Underfull \hbox (badness 10000) in paragraph at lines 8049--8049 Underfull \hbox (badness 10000) in paragraph at lines 8105--8106 []\T1/ptm/m/n/10.95 THEANO_FLAGS=optimizer_excluding=fusion:inplace,profile=Tru e python [144] [145] [146 <./apply.png>] [147] [148] [149] [150] [151] Overfull \hbox (6.0pt too wide) in paragraph at lines 8594--8594 []| Overfull \hbox (157.20721pt too wide) in paragraph at lines 8594--8594 [][]| Overfull \hbox (6.0pt too wide) in paragraph at lines 8594--8594 []| Overfull \hbox (157.43991pt too wide) in paragraph at lines 8594--8594 [][]| Overfull \hbox (6.00545pt too wide) in paragraph at lines 8594--8595 [][] [152 <./symbolic_graph_unopt.png> <./symbolic_graph_opt.png>] [153] [154] [155] [156] [157] [158] [159] [160] [161] [162] [163 <./apply_node.png>] [164] [165] [166] Underfull \vbox (badness 10000) detected at line 9593 Overfull \vbox (2.47066pt too high) detected at line 9593 [167] [168] [169] [170] [171] Underfull \hbox (badness 10000) in paragraph at lines 9857--9861 \T1/pcr/m/n/10.95 RopLop_checker.check_rop_lop() \T1/ptm/m/n/10.95 and \T1/pcr/ m/n/10.95 RopLop_checker.check_nondiff_rop()\T1/ptm/m/n/10.95 . [172] [173] [174] [175] Underfull \hbox (badness 10000) in paragraph at lines 10089--10094 []\T1/ptm/m/n/10.95 You can tell Nan-Guard-Mode to do not check a vari-able wit h: \T1/pcr/m/n/10.95 variable.tag. [176] [177] [178] Underfull \hbox (badness 10000) in paragraph at lines 10366--10369 \T1/ptm/m/n/10.95 NPY_ARRAY_F_CONTIGUOUS, NPY_ARRAY_OWNDATA, NPY_ARRAY_ALIGNED, [179] [180] Underfull \hbox (badness 10000) in paragraph at lines 10479--10484 []\T1/ptm/m/n/10.95 This sec-tion de-scribes the meth-ods [][]\T1/pcr/m/sl/10.9 5 Op.c_code()[][]\T1/ptm/m/n/10.95 , [][]\T1/pcr/m/sl/10.95 Op.c_support_code() [][]\T1/ptm/m/n/10.95 , [][]\T1/pcr/m/sl/10.95 Op. [181] [182] Overfull \vbox (2.50832pt too high) detected at line 10740 [183] Underfull \vbox (badness 10000) detected at line 10740 Overfull \vbox (2.47066pt too high) detected at line 10740 [184] Overfull \vbox (1.72316pt too high) detected at line 10893 [185] Underfull \vbox (badness 10000) detected at line 10893 Overfull \vbox (2.47066pt too high) detected at line 10893 [186] [187] [188] Underfull \vbox (badness 10000) detected at line 11032 Overfull \vbox (2.47066pt too high) detected at line 11032 [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 11155--11158 []\T1/ptm/m/n/10.95 In the same way, the macros \T1/pcr/m/n/10.95 DTYPE_OUTPUT_ {i}\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 ITEMSIZE_OUTPUT_{i} \T1/ptm/m/n/10.95 and [191] [192] [193] [194] [195] [196] [197] [198] [199] [200] [201] [202] Overfull \vbox (10.92513pt too high) detected at line 12084 [203] [204] [205] [206] [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 12514--12521 []\T1/ptm/m/n/10.95 If the out-put list of the op is $\OT1/cmr/m/n/10.95 [\OML/ cmm/m/it/10.95 f[]; :::f[]\OT1/cmr/m/n/10.95 ]$\T1/ptm/m/n/10.95 , then the lis t \T1/pcr/m/n/10.95 output_gradients \T1/ptm/m/n/10.95 is [209] Underfull \hbox (badness 10000) in paragraph at lines 12618--12623 []\T1/ptm/m/n/10.95 The grad method Underfull \hbox (badness 10000) in paragraph at lines 12627--12632 []\T1/ptm/m/n/10.95 If [210] [211] [212] [213] [214] Overfull \vbox (0.70735pt too high) detected at line 13035 [215] [216] [217] [218] [219] Underfull \hbox (badness 6412) in paragraph at lines 13289--13296 []\T1/ptm/m/n/10.95 You can ex-tract the 4 fields with [][]\T1/pcr/m/sl/10.95 t heano.sparse.basic.csm_properties()[][]\T1/ptm/m/n/10.95 . You [220] [221] [222] [223] [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 13781--13790 []\T1/ptm/m/n/10.95 The rest of the code is not ab-so-lutely nec-es-sary and it is ba-si-cally ^^Pgood prac-tice^^Q. [226] [227] [228] [229] [230] [231] [232] [233] [234] [235] [236] [237] [238] Overfull \vbox (2.923pt too high) detected at line 14767 [239] [240] Underfull \hbox (badness 10000) in paragraph at lines 14814--14819 []\T1/ptm/m/n/10.95 Also note that [][]\T1/pcr/m/sl/10.95 theano.gpuarray.basic _ops.as_gpuarray_variable()[][] \T1/ptm/m/n/10.95 takes [241] [242] [243] [244] Underfull \vbox (badness 10000) detected at line 15148 Overfull \vbox (2.47066pt too high) detected at line 15148 [245] [246] [247] Underfull \vbox (badness 10000) detected at line 15256 [248] [249] Underfull \hbox (badness 10000) in paragraph at lines 15380--15382 []\T1/ptm/m/it/10.95 Default: \T1/ptm/m/n/10.95 this is de-fined by Op-ti-mizer as \T1/pcr/m/n/10.95 add_requirement(fgraph); [250] [251] [252] Overfull \vbox (0.72308pt too high) detected at line 15585 [253] [254] [255] [256] [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 16041--16042 []\T1/pcr/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compil ing): [259] Underfull \vbox (badness 10000) detected at line 16252 Underfull \vbox (badness 10000) detected at line 16252 [260] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [261] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [262] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [263] [264] Underfull \vbox (badness 10000) detected at line 16378 Overfull \vbox (9.22032pt too high) detected at line 16378 [265] Underfull \hbox (badness 10000) in paragraph at lines 16382--16388 []\T1/pcr/m/n/10.95 0.751816s - (\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 canonica lize\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10. 95 EquilibriumOptimizer\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , 4) - 0. [266] [267] [268] [269] [270] [271] [272] [273] [274] [275] [276] [277] [278] Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Type of Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 scan Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 in-ner in-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 in-ner out-put Underfull \hbox (badness 6910) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 at timestep \T1/phv/m/sl/10.95 t Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ing outer Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ing ar-gu- Underfull \hbox (badness 7777) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ment of the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/sl/10.95 theano.scan() Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 In-di-vid-ual se- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurring Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Singly- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 6157) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 (value at Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 at pre-vi-ous Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 5652) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 mul-ti-ple Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-puts Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 5652) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put val-ues Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 mul-ti-ple fu-ture Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion [279] [280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291] [292] [293] LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18369. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18369. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18621. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd) LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18621. [294] [295] Underfull \hbox (badness 10000) in paragraph at lines 18671--18672 []\T1/pcr/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) -> Underfull \hbox (badness 10000) in paragraph at lines 18675--18677 []\T1/ptm/m/n/10.95 This op-ti-mizes graphs like \T1/pcr/m/n/10.95 reshape(resh ape(x, shape1), shape2) \T1/ptm/m/n/10.95 -> Underfull \hbox (badness 10000) in paragraph at lines 18717--18719 []\T1/ptm/m/n/10.95 This op-ti-mizes graphs like \T1/pcr/m/n/10.95 sum(scalar * tensor) \T1/ptm/m/n/10.95 -> \T1/pcr/m/n/10.95 scalar * [296] [297] [298] Underfull \hbox (badness 10000) in paragraph at lines 18883--18891 []\T1/ptm/m/n/10.95 By de-fault, re-turn a copy of the data. If \T1/pcr/m/n/10. 95 borrow=True \T1/ptm/m/n/10.95 (and Underfull \hbox (badness 10000) in paragraph at lines 18962--18962 []\T1/ptm/m/it/10.95 value\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 strict=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/ 10.95 al- [299] [300] Underfull \hbox (badness 7238) in paragraph at lines 19138--19138 []\T1/ptm/m/it/10.95 self\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 vari-able\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 value=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 up-date=None\T1/ptm/m/n/10.9 5 , \T1/ptm/m/it/10.95 mu-ta-ble=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 mode=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 up-dates=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 givens=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 no_default _updates=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 ac-cept_inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 build_strict=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 al-l ow_input_downcast=None\T1/ptm/m/n/10.95 , [301] Underfull \hbox (badness 10000) in paragraph at lines 19187--19190 []\T1/pcr/b/n/10.95 params \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 list of either Variable or In instances, but Underfull \hbox (badness 10000) in paragraph at lines 19198--19200 []\T1/pcr/b/n/10.95 updates \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 iterable over pairs (shared_variable, Underfull \hbox (badness 8019) in paragraph at lines 19202--19206 []\T1/pcr/b/n/10.95 givens \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 iterable over pairs (Var1, Var2) of Variables. Underfull \hbox (badness 10000) in paragraph at lines 19202--19206 \T1/pcr/m/sl/10.95 List, tuple or dict. The Var1 and Var2 in each pair [302] Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 []\T1/ptm/m/it/10.95 filename\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-puts\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 no_default_updates=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 ac- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 cept_inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nam e=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 re-build_strict=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 a l- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 low_input_downcast=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 pro- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 file=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 on_unused_in put=None\T1/ptm/m/n/10.95 , [303] Underfull \hbox (badness 10000) in paragraph at lines 19334--19334 []\T1/ptm/m/it/10.95 fn\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-put_storage\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 19334--19334 \T1/ptm/m/it/10.95 de-faults\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-pack_sing le\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- [304] [305] Underfull \hbox (badness 5161) in paragraph at lines 19497--19503 []\T1/ptm/m/n/10.95 input. If up-date is`` [306] [307] [308] [309] [310] [311] [312] [313] [314] [315] [316] [317] [318] [319] [320] [321] [322] Underfull \hbox (badness 10000) in paragraph at lines 20996--20996 []\T1/ptm/m/it/10.95 typ\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 code\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 ver-sion=()\T1/ptm/m/n/10.95 , Overfull \hbox (16.37978pt too wide) in paragraph at lines 20996--20996 \T1/ptm/m/it/10.95 c_support_code_apply=None\T1/pcr/m/n/10.95 ) [323] [324] [325] [326] Underfull \hbox (badness 10000) in paragraph at lines 21333--21333 []\T1/ptm/m/it/10.95 self\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 op-ti-mizer='fa st_run'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sta-bil-ity_patience=None\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 check_c_code=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 5985) in paragraph at lines 21333--21333 \T1/ptm/m/it/10.95 check_py_code=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 che ck_isfinite=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re-quire_matching_stride s=None\T1/ptm/m/n/10.95 , [327] [328] Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 []\T1/ptm/m/it/10.95 nan_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 inf_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 big_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 op-ti-mizer='default'\T1/ptm/m/n/10.95 , [329] [330] [331] [332] [333] [334] [335] [336] [337] Overfull \hbox (108.91849pt too wide) in paragraph at lines 22315--22316 \T1/ptm/m/n/10.95 Default: \T1/pcr/m/n/10.95 "compiledir_%(platform)s-%(process or)s-%(python_version)s-%(python_bitwidth)s" [338] Underfull \hbox (badness 10000) in paragraph at lines 22432--22434 \T1/ptm/m/n/10.95 Deprecated, use [][]\T1/pcr/m/sl/10.95 config.dnn.conv.algo_b wd_filter[][] \T1/ptm/m/n/10.95 and [][]\T1/pcr/m/sl/10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 22441--22445 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 winograd_non_fused\TS1/pcr/m/n/10.95 '\T1 /ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/1 0.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_ change\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 7722) in paragraph at lines 22448--22450 []\T1/ptm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/pcr/m/n/10.95 '\T1/pcr /m/n/10.95 none\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/ pcr/m/n/10.95 small\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 ' \T1/pcr/m/n/10.95 fft_tiling\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/ n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 22457--22459 \T1/ptm/m/n/10.95 Deprecated, use [][]\T1/pcr/m/sl/10.95 config.dnn.conv.algo_b wd_filter[][] \T1/ptm/m/n/10.95 and [][]\T1/pcr/m/sl/10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 22466--22469 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 fft_tiling\TS1/pcr/m/n/10.95 '\T1/ptm/m/n /10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T 1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_change\T S1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 tim e_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 22472--22474 []\T1/ptm/m/n/10.95 3d con-vo-lu-tion only sup-ports \TS1/pcr/m/n/10.95 '\T1/pc r/m/n/10.95 none\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1 /pcr/m/n/10.95 small\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , [339] Underfull \hbox (badness 10000) in paragraph at lines 22481--22485 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 winograd_non_fused\TS1/pcr/m/n/10.95 '\T1 /ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/1 0.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_ change\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , [340] [341] [342] [343] [344] [345] [346] [347 <./index_10_0.png>] [348] [349] [350 <./index_24_0.png>] [351] Underfull \hbox (badness 5939) in paragraph at lines 23408--23410 \T1/ptm/m/n/10.95 This func-tion ac-cepts ex-tra pa-ram-e-ters which will be fo r-warded to [][]\T1/pcr/m/sl/10.95 theano.d3viz. Underfull \hbox (badness 5939) in paragraph at lines 23431--23433 \T1/ptm/m/n/10.95 This func-tion ac-cepts ex-tra pa-ram-e-ters which will be fo r-warded to [][]\T1/pcr/m/sl/10.95 theano.d3viz. [352] [353] [354] [355] [356] Overfull \vbox (3.25508pt too high) detected at line 23927 [357] [358] Underfull \hbox (badness 10000) in paragraph at lines 24032--24032 []\T1/ptm/m/it/10.95 i\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 o\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 leaf_formatter=\T1/ptm/m/n/10.95 , [359] Underfull \hbox (badness 10000) in paragraph at lines 24108--24108 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 copy_inputs=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 24146--24146 []\T1/ptm/m/it/10.95 outputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 deps\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 de-bug_print=False\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 com- Underfull \hbox (badness 10000) in paragraph at lines 24146--24146 \T1/ptm/m/it/10.95 pute_deps_cache=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 d eps_cache=None\T1/ptm/m/n/10.95 , [360] [361] Underfull \hbox (badness 10000) in paragraph at lines 24383--24383 []\T1/ptm/m/it/10.95 i\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 op\T1/ptm/m/n/10.9 5 , \T1/ptm/m/it/10.95 leaf_formatter=\T1/ptm/m/n/10.95 , [362] [363] [364] Underfull \hbox (badness 10000) in paragraph at lines 24637--24639 []\T1/ptm/m/n/10.95 For each fea-ture that has a `on_change_input' method, call s: fea- [365] [366] [367] Underfull \hbox (badness 10000) in paragraph at lines 24981--24981 \T1/ptm/m/it/10.95 li-braries=()\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 lib_dirs =()\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 com-pile_args=()\T1/ptm/m/n/10.95 , \ T1/ptm/m/it/10.95 ex- [368] [369] [370] [371] Underfull \hbox (badness 10000) in paragraph at lines 25247--25249 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [372] Underfull \hbox (badness 10000) in paragraph at lines 25388--25389 []\T1/ptm/m/n/10.95 See test \T1/pcr/m/n/10.95 theano.gof.tests.test_types.Test EnumTypes. [373] [374] [375] [376] [377] Overfull \vbox (1.22041pt too high) detected at line 25857 [378] [379] [380] [381] [382] [383] [384] [385] [386] [387] [388] [389] Underfull \hbox (badness 10000) in paragraph at lines 26863--26865 []\T1/ptm/m/n/10.95 See \T1/pcr/m/n/10.95 QuadraticOpFunc \T1/ptm/m/n/10.95 and \T1/pcr/m/n/10.95 QuadraticCOpFunc \T1/ptm/m/n/10.95 in \T1/pcr/m/n/10.95 thea no/gof/tests/ [390] [391] [392] [393] [394] [395] Underfull \hbox (badness 10000) in paragraph at lines 27277--27279 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [396] [397] [398] [399] [400] [401] [402] [403] [404] [405] [406] [407] [408] [409] [410] [411] [412] [413] [414] [415] [416] Underfull \hbox (badness 10000) in paragraph at lines 29322--29322 []\T1/ptm/m/it/10.95 code\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 params\T1/ptm/m /n/10.95 , \T1/ptm/m/it/10.95 name\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 flags\ T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 code- Underfull \hbox (badness 10000) in paragraph at lines 29355--29357 []\T1/ptm/m/n/10.95 It can also have the key \T1/ptm/m/it/10.95 cflags \T1/ptm/ m/n/10.95 which is a string of C flag val-ues like this [417] Underfull \hbox (badness 10000) in paragraph at lines 29429--29429 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam- [418] Underfull \hbox (badness 5119) in paragraph at lines 29476--29476 []\T1/ptm/m/it/10.95 bottom\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 weights\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 top\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-r ec-tion\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 height=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 width=None\T1/ptm/m/ n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29477--29482 \T1/ptm/m/n/10.95 This gen-er-ates the C code for Gpu-Corr3dMM (di-rec-tion=^^Q forward^^Q), Gpu- Underfull \hbox (badness 10000) in paragraph at lines 29497--29502 []\T1/pcr/b/n/10.95 direction \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 forward\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop weights\TS1/pcr/m/sl/10.95 '\T 1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop [419] Underfull \hbox (badness 10000) in paragraph at lines 29596--29596 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 29596--29596 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/1 0.95 , \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 1)\T1/ptm/m/n/10.95 , [420] Underfull \hbox (badness 10000) in paragraph at lines 29667--29672 []\T1/pcr/b/n/10.95 direction \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 forward\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop weights\TS1/pcr/m/sl/10.95 '\T 1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop [421] [422] Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [423] Underfull \hbox (badness 10000) in paragraph at lines 29936--29936 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29936--29936 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [424] Underfull \hbox (badness 10000) in paragraph at lines 30004--30004 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 6220) in paragraph at lines 30004--30004 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [425] Underfull \hbox (badness 5756) in paragraph at lines 30072--30072 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 un- [426] Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [427] Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [428] [429] [430] [431] [432] [433] [434] Underfull \hbox (badness 10000) in paragraph at lines 30943--30943 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\ T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30943--30943 \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , [435] [436] Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\ T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 re-duce_mask=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 , [437] [438] [439] [440] Underfull \hbox (badness 5924) in paragraph at lines 31397--31397 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place_p attern=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31397--31397 \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nfunc_spec=N one\T1/ptm/m/n/10.95 , [441] [442] Underfull \hbox (badness 10000) in paragraph at lines 31617--31617 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [443] Underfull \hbox (badness 10000) in paragraph at lines 31696--31696 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [444] Overfull \hbox (37.40398pt too wide) in paragraph at lines 31794--31794 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (91.124pt too wide) in paragraph at lines 31794--31794 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (45.13405pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 31842--31842 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (51.70404pt too wide) in paragraph at lines 31842--31842 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) [445] [446] Overfull \hbox (37.40398pt too wide) in paragraph at lines 32066--32066 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (91.124pt too wide) in paragraph at lines 32066--32066 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) [447] [448] [449] Overfull \hbox (4.3459pt too wide) in paragraph at lines 32288--32288 []\T1/ptm/m/it/10.95 sparse_grad=False\T1/pcr/m/n/10.95 ) [450] [451] Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 []\T1/ptm/m/it/10.95 idx_list\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place=Fa lse\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 de-stroy-han- Overfull \hbox (4.18106pt too wide) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 dler_tolerate_aliased=None\T1/pcr/m/n/10.95 ) [452] [453] [454] [455] [456] Underfull \hbox (badness 10000) in paragraph at lines 32967--32967 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , [457] [458] [459] [460] [461] [462] [463] [464] Underfull \hbox (badness 7522) in paragraph at lines 33712--33716 []\T1/ptm/m/n/10.95 Alternatively, on Linux, you can set the en-vi-ron-ment var i-ables \T1/pcr/m/n/10.95 LD_LIBRARY_PATH\T1/ptm/m/n/10.95 , [465] [466] Underfull \hbox (badness 10000) in paragraph at lines 33863--33864 [][][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_conv()[][]\T1/ptm/m/n/10.95 , [][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn. Underfull \hbox (badness 10000) in paragraph at lines 33866--33867 [][][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_gradweight()[][]\T1/ptm/m/n/10 .95 , [][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn. Underfull \hbox (badness 10000) in paragraph at lines 33869--33870 [][][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_gradinput()[][]\T1/ptm/m/n/10. 95 , [][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn. [467] [468] [469] Underfull \hbox (badness 10000) in paragraph at lines 34142--34144 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [470] [471] Underfull \hbox (badness 10000) in paragraph at lines 34331--34333 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 []\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 run- Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 ning_averages=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in - Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 place_running_mean=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 in- Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 place_running_var=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 in- [472] Underfull \hbox (badness 10000) in paragraph at lines 34427--34427 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 scale\T1/ptm/m/n/1 0.95 , \T1/ptm/m/it/10.95 bias\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep-silon=0 .0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run-ning_average_factor=0.1\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 run- Underfull \hbox (badness 10000) in paragraph at lines 34452--34452 []\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , [473] Underfull \hbox (badness 10000) in paragraph at lines 34497--34499 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pc r/m/sl/10.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 large\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft_tiling\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , [474] Underfull \hbox (badness 10000) in paragraph at lines 34658--34660 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [475] Underfull \hbox (badness 10000) in paragraph at lines 34697--34697 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=N one\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34711--34713 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 deterministic\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft_tiling\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34735--34735 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=N one\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34749--34751 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 deterministic\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34749--34751 \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_once\TS1/pcr/m/sl/10.95 '\T1/pcr/ m/sl/10.95 ,\T1/ptm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', [476] Underfull \hbox (badness 10000) in paragraph at lines 34814--34815 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 34858--34859 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [477] [478] Underfull \hbox (badness 10000) in paragraph at lines 35019--35021 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [479] Underfull \hbox (badness 10000) in paragraph at lines 35078--35079 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [480] [481] Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 []\T1/ptm/m/it/10.95 dtype\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 hid-den_size\T 1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_layers\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 \T1/ptm/m/it/10.95 rnn_mode\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-put_mode=' linear'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di- Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 \T1/ptm/m/it/10.95 rec-tion_mode='unidirectional'\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 con- Underfull \hbox (badness 10000) in paragraph at lines 35359--35361 []\T1/pcr/b/n/10.95 rnn_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/ sl/10.95 '\T1/pcr/m/sl/10.95 rnn_relu\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 rnn_tanh\TS1/pcr/m/sl/10.95 '\T1/pcr/m/ sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 lstm\TS1/pcr/m/sl/10.95 '\T1 /pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 gru\TS1/pcr/m/sl/10.9 5 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 35376--35378 []\T1/pcr/b/n/10.95 direction_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/ pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 unidirectional\TS1/pcr/m/sl/10.95 '\T1/pcr/m /sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 bidirectional\TS1/pcr/m/sl/ 10.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [482] Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 \T1/ptm/m/it/10.95 mean\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 var\T1/ptm/m/n/10 .95 , \T1/ptm/m/it/10.95 mode='per- Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 \T1/ptm/m/it/10.95 activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep- [483] Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 ep-silon=0.0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run- Overfull \hbox (1.40036pt too wide) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 ning_average_factor=0.1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 , [484] Underfull \hbox (badness 10000) in paragraph at lines 35606--35606 \T1/ptm/m/it/10.95 work-mem=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=Non e\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pre-ci-sion=None\T1/ptm/m/n/10.95 , [485] Underfull \hbox (badness 10000) in paragraph at lines 35646--35649 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 large\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35646--35649 \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_once\TS1/pcr/m/sl/10.95 '\T1/pcr/ m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_on_shape_change\TS1/ pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 ti me_once\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35651--35655 []\T1/pcr/b/n/10.95 precision \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 as_input_f32\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10. 95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 as_input\TS1/pcr/m/sl/10.95 '\T1/p cr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 float16\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 8113) in paragraph at lines 35675--35675 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 conv _mode='conv'\T1/ptm/m/n/10.95 , [486] Underfull \hbox (badness 10000) in paragraph at lines 35720--35724 []\T1/pcr/b/n/10.95 precision \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 as_input_f32\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10. 95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 as_input\TS1/pcr/m/sl/10.95 '\T1/p cr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 float16\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35744--35744 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35752--35752 []\T1/ptm/m/it/10.95 kerns\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 top-grad\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 img_shp\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 35752--35752 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-s am-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35760--35760 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35760--35760 \T1/ptm/m/it/10.95 conv_mode='conv'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pre-c i-sion=None\T1/ptm/m/n/10.95 , [487] Underfull \hbox (badness 10000) in paragraph at lines 35768--35768 []\T1/ptm/m/it/10.95 img\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 top-grad\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 kerns_shp\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 35795--35796 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , [488] [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 36025--36025 \T1/ptm/m/it/10.95 al-low_downcast=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36053--36054 []\T1/pcr/b/n/10.95 with borrow=False and return_internal_type=True does Underfull \hbox (badness 10000) in paragraph at lines 36059--36060 []\T1/pcr/b/n/10.95 in that case, you may get different return types [491 <./plot_fft.png>] Underfull \hbox (badness 10000) in paragraph at lines 36082--36083 []\T1/pcr/b/n/10.95 to this value will be visible to all functions using Underfull \hbox (badness 10000) in paragraph at lines 36136--36136 []\T1/ptm/m/it/10.95 dtype\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 broad-castable \T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 con- [492] [493] [494] [495] Underfull \hbox (badness 10000) in paragraph at lines 36529--36531 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [496] [497] [498] [499] [500] Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 []\T1/ptm/m/it/10.95 value\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/p tm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 strict=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 al- Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 low_downcast=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 bor-row=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 broad- Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 castable=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 tar- [501] [502] [503] [504] [505] Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 []\T1/ptm/m/it/10.95 N\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 buf\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 6110) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 load_x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pos\T1/ptm/m/n/ 10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 count\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 man- Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 , Overfull \hbox (14.06978pt too wide) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 ) [506] Underfull \hbox (badness 6842) in paragraph at lines 37526--37526 []\T1/ptm/m/it/10.95 N\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 buf\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 sm_stride\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 write_sm\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 thread-Pos\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 thread- Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 , Overfull \hbox (20.63977pt too wide) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 ) [507] [508] Overfull \hbox (81.80635pt too wide) in paragraph at lines 37710--37710 []\T1/ptm/m/it/10.95 compute_grad=True\T1/pcr/m/n/10.95 ) [509] [510] Underfull \hbox (badness 10000) in paragraph at lines 37816--37816 []\T1/ptm/m/it/10.95 lower=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37897--37897 []\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 , [511] [512] Underfull \hbox (badness 10000) in paragraph at lines 38054--38056 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [513] Underfull \hbox (badness 10000) in paragraph at lines 38111--38112 []\T1/pcr/b/n/10.95 UPLO \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Specifies whethe r the calculation is done with Underfull \hbox (badness 10000) in paragraph at lines 38177--38177 []\T1/ptm/m/it/10.95 full_matrices=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 c om- [514] [515] Underfull \hbox (badness 10000) in paragraph at lines 38408--38408 []\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 eval_points\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 con-s ider_constant=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dis-con- [516] Underfull \hbox (badness 10000) in paragraph at lines 38454--38454 []\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 eval_points\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dis-c on-nected_outputs='raise'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- [517] [518] [519] [520] Underfull \hbox (badness 10000) in paragraph at lines 38885--38885 []\T1/ptm/m/it/10.95 cost\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 con-sider_constant=None\T1/ptm/m/n/10.95 , \T1/ptm/m /it/10.95 dis-con- Underfull \hbox (badness 10000) in paragraph at lines 38891--38892 []\T1/pcr/b/n/10.95 wrt \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Vector (1-dimensi onal tensor) \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 Variable\TS1/pcr/m/sl/10.9 5 ' \T1/pcr/m/sl/10.95 or list [521] Underfull \hbox (badness 10000) in paragraph at lines 38935--38935 []\T1/ptm/m/it/10.95 expression\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 con-sider_constant=None\T1/ptm/m/n/10.95 , \T1 /ptm/m/it/10.95 dis-con- [522] [523] Underfull \hbox (badness 10000) in paragraph at lines 39172--39172 \T1/ptm/m/it/10.95 abs_tol=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 rel_tol=N one\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 mode=None\T1/ptm/m/n/10.95 , [524] Underfull \hbox (badness 10000) in paragraph at lines 39222--39225 []\T1/pcr/b/n/10.95 cast_to_output_type \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 b ool\T1/ptm/m/n/10.95 ) ^^U if the out-put is float32 and [525] [526] Underfull \hbox (badness 10000) in paragraph at lines 39401--39401 []\T1/ptm/m/it/10.95 obj\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 file_handler\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pro-to-col=3\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 per-sis-tent_id=\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 39479--39479 []\T1/ptm/m/it/10.95 file\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pro-to-col=0\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ex- [528] [529] Overfull \vbox (1.6708pt too high) detected at line 39656 [530] [531] Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 []\T1/ptm/m/it/10.95 fct\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-file=None\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 com-pact=True\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 for- Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 mat='png'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 with_ids=Fal se\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 high_contrast=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 cond_highlight=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 co l-or-Codes=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 max_label_size=70\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 scan _graphs=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 var_with_name_simple=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 print_output_file=True\T1/ptm/m/n/10.95 , [532] [533] [534] [535] [536] [537] Underfull \hbox (badness 10000) in paragraph at lines 40315--40315 []\T1/ptm/m/it/10.95 size=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 a=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 re-place=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 p=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ndim=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype='int64'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 40341--40342 []\T1/pcr/b/n/10.95 Example \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 p = [[98, 01, 01], [01, 49, 50]] and size=1 Underfull \hbox (badness 10000) in paragraph at lines 40344--40345 []\T1/pcr/b/n/10.95 result in [[0],[2]] When setting size=2, this [538] [539] [540] [541] [542] [543] Overfull \vbox (14.32309pt too high) detected at line 40888 [544] Overfull \vbox (1.72308pt too high) detected at line 40953 [545] [546] [547] [548] [549] [550] [551] [552] [553] [554] [555] [556] [557] [558] [559] Underfull \hbox (badness 10000) in paragraph at lines 41940--41940 []\T1/ptm/m/it/10.95 fn\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 se-quences=[]\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts_info=None\T1/ptm/m/n/10.95 , \T1/pt m/m/it/10.95 non_sequences=[]\T1/ptm/m/n/10.95 , [560] [561] [562] [563] [564] [565] Underfull \hbox (badness 10000) in paragraph at lines 42536--42538 []\T1/pcr/m/n/10.95 Binomial \T1/ptm/m/n/10.95 and \T1/pcr/m/n/10.95 csc_fbinom ial\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 csc_dbinomial csr_fbinomial\T1/ptm/m/n /10.95 , [566] [567] [568] [569] [570] [571] Underfull \hbox (badness 10000) in paragraph at lines 43149--43150 []\T1/pcr/b/n/10.95 create a sparse matrix with the same shape as x. Its [572] Overfull \hbox (121.00287pt too wide) in paragraph at lines 43155--43155 [] Underfull \hbox (badness 10000) in paragraph at lines 43155--43155 [573] [574] [575] [576] [577] [578] [579] [580] [581] [582] [583] [584] Underfull \hbox (badness 10000) in paragraph at lines 44354--44354 []\T1/ptm/m/it/10.95 type\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 owner=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 in-dex=None\T1/ptm/m/n/10.95 , [585] [586] [587] [588] [589] [590] [591] [592] [593] [594] [595] [596] [597] [598] [599] [600] [601] [602] [603] Underfull \hbox (badness 10000) in paragraph at lines 46247--46247 \T1/ptm/m/it/10.95 out_dtype=None\T1/ptm/m/n/10.95 , Overfull \hbox (0.60056pt too wide) in paragraph at lines 46247--46247 \T1/ptm/m/it/10.95 sorted_indices=False\T1/pcr/m/n/10.95 ) [604] [605] [606] [607] [608] [609] [610] Overfull \vbox (0.72517pt too high) detected at line 46910 [611] [612] [613] [614] LaTeX Warning: Hyper reference `extending/graphstructures:tutorial-graphfigure' on page 615 undefined on input line 48001. [615] [616] [617] [618] [619] [620] [621] [622] [623] Overfull \vbox (1.70845pt too high) detected at line 49102 [624] Underfull \hbox (badness 10000) in paragraph at lines 49124--49127 []\T1/pcr/b/n/10.95 axis \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 an int or an ite rable object such as list or Underfull \hbox (badness 10000) in paragraph at lines 49158--49161 []\T1/pcr/b/n/10.95 axis \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 an int or an ite rable object such as list or [625] [626] [627] [628] Underfull \hbox (badness 10000) in paragraph at lines 49529--49530 [629] [630] [631] Underfull \hbox (badness 10000) in paragraph at lines 49764--49766 []\T1/ptm/m/n/10.95 older: Overfull \hbox (1.23325pt too wide) in paragraph at lines 49791--49793 [] [632] Underfull \hbox (badness 10000) in paragraph at lines 49936--49936 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\T1/ptm/m /n/10.95 , \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 keep-dims=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n /10.95 , [633] [634] [635] [636] [637] Underfull \hbox (badness 5548) in paragraph at lines 50371--50373 []\T1/ptm/m/n/10.95 This is not a rein-ter-pret cast, but a co-er-cion cast, si m-i-lar to \T1/pcr/m/n/10.95 numpy.asarray(x, [638] [639] [640] [641] [642] [643] Overfull \vbox (1.62054pt too high) detected at line 51049 [644] [645] [646] [647] [648] Underfull \hbox (badness 10000) in paragraph at lines 51390--51393 []\T1/ptm/m/n/10.95 Either cuDNN and the gemm ver-sion can be dis-abled us-ing the Theano flags [649] [650] Underfull \hbox (badness 10000) in paragraph at lines 51520--51524 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 or 6 of int or Underfull \hbox (badness 6741) in paragraph at lines 51526--51530 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 4 or 6 of int or Underfull \hbox (badness 10000) in paragraph at lines 51532--51534 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 51538--51540 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 51541--51545 [] Underfull \hbox (badness 10000) in paragraph at lines 51546--51548 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 51549--51551 [] Underfull \hbox (badness 10000) in paragraph at lines 51552--51555 []\T1/ptm/m/n/10.95 pad Underfull \hbox (badness 10000) in paragraph at lines 51570--51571 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int or [651] Underfull \hbox (badness 10000) in paragraph at lines 51586--51587 []\T1/pcr/b/n/10.95 kwargs \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Any other keyw ord arguments are accepted for Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 out-put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/ 10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor-der _mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 \T1/ptm/m/it/10.95 in-put_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\ T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51634--51636 []\T1/pcr/b/n/10.95 output_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple/li st of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 51638--51642 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 4 of int or [652] Underfull \hbox (badness 10000) in paragraph at lines 51717--51721 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or [653] Underfull \hbox (badness 10000) in paragraph at lines 51723--51727 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 51735--51737 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 51738--51742 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 51743--51745 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 51797--51797 []\T1/ptm/m/it/10.95 signals\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sig-nals_shape=None\T1/ptm/m/n/10.95 , \T1/p tm/m/it/10.95 fil- [654] Underfull \hbox (badness 8019) in paragraph at lines 51873--51877 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int, None or [655] Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 sub-sam-ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [656] Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , Overfull \hbox (44.07277pt too wide) in paragraph at lines 52024--52024 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (37.98465pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 bor- Overfull \hbox (67.66975pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 sam- Overfull \hbox (17.30025pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 fil- Overfull \hbox (46.51445pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 fil- Overfull \hbox (55.6356pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (54.53018pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 un- Overfull \hbox (51.54047pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) [657] Overfull \hbox (50.64276pt too wide) in paragraph at lines 52041--52041 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (44.55464pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 bor- Overfull \hbox (74.23975pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 sam- Overfull \hbox (23.87024pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 fil- Overfull \hbox (53.08444pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 fil- Overfull \hbox (62.2056pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (61.10017pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Overfull \hbox (5.8358pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 un- Overfull \hbox (58.11046pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [658] Overfull \hbox (44.07277pt too wide) in paragraph at lines 52068--52068 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (37.98465pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 bor- Overfull \hbox (67.66975pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 sam- Overfull \hbox (17.30025pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 fil- Overfull \hbox (46.51445pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 fil- Overfull \hbox (55.6356pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (58.36269pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Overfull \hbox (50.64276pt too wide) in paragraph at lines 52085--52085 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (44.55464pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 bor- Overfull \hbox (74.23975pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 sam- Overfull \hbox (23.87024pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 fil- Overfull \hbox (53.08444pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 fil- Overfull \hbox (62.2056pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (64.93268pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) [659] Overfull \hbox (10.9274pt too wide) in paragraph at lines 52102--52102 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Overfull \hbox (30.93279pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (24.84467pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 bor- Overfull \hbox (54.52977pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 sam- Overfull \hbox (18.15424pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 fil- Overfull \hbox (33.37447pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 fil- Overfull \hbox (56.4896pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (41.3902pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 un- Overfull \hbox (38.40048pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Overfull \hbox (17.49739pt too wide) in paragraph at lines 52166--52166 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Overfull \hbox (37.50278pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (31.41466pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 bor- Overfull \hbox (61.09976pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 sam- Overfull \hbox (24.72423pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 fil- Overfull \hbox (39.94446pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 fil- Overfull \hbox (63.05959pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (47.96019pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 un- Overfull \hbox (44.97047pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) [660] Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (8.53983pt too wide) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.49965pt too wide) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 un- [661] Underfull \hbox (badness 10000) in paragraph at lines 52262--52264 []\T1/ptm/m/n/10.95 Generates out-put of [662] Underfull \hbox (badness 10000) in paragraph at lines 52284--52286 []\T1/pcr/m/n/10.95 int1\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 int2 Underfull \hbox (badness 5050) in paragraph at lines 52317--52317 []\T1/ptm/m/it/10.95 img\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 kern\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 d i-la-tion=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-shared=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di- rec- Underfull \hbox (badness 10000) in paragraph at lines 52362--52367 []\T1/pcr/b/n/10.95 shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (s ymbolic or numeric) [663] Underfull \hbox (badness 10000) in paragraph at lines 52392--52392 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ex-pected_shape\T1 /ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52424--52424 []\T1/ptm/m/it/10.95 ratio\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 52432--52434 []\T1/pcr/b/n/10.95 ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or Constant /Scalar Theano tensor of int* Underfull \hbox (badness 10000) in paragraph at lines 52455--52455 []\T1/ptm/m/it/10.95 ratio\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 52463--52465 []\T1/pcr/b/n/10.95 ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or Constant /Scalar Theano tensor of int* [664] Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ra-tio=None\T1 /ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 frac_ratio=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 batch_size=None\T1/ptm/m/n/10.95 , Overfull \hbox (30.15506pt too wide) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 num_input_channels=None\T1/ptm/m/n/10.95 , Overfull \hbox (6.05402pt too wide) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 use_1D_kernel=True\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52501--52506 []\T1/pcr/b/n/10.95 frac_ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tupl e of int or tuple of tuples of [665] Underfull \hbox (badness 10000) in paragraph at lines 52558--52559 []\T1/pcr/b/n/10.95 kshp \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 List/tuple of le ngth \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 convdim\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , indicating the Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 5022) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 in-put_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub- sam- Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 ple=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_flip=Tru e\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 fil-ter_dilation=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- Underfull \hbox (badness 10000) in paragraph at lines 52602--52608 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/in t/Constant] * 2 + [Tensor/int/ [666] Overfull \hbox (18.69075pt too wide) in paragraph at lines 52653--52653 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ker- Overfull \hbox (5.52887pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 out- Overfull \hbox (6.14214pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 bor- Overfull \hbox (4.91574pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (47.18211pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52658--52661 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52663--52666 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52668--52671 []\T1/pcr/b/n/10.95 output_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52673--52677 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 52679--52681 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two [667] Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 []\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil-ters\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (1.96985pt too wide) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 bor- Overfull \hbox (8.53983pt too wide) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/1 0.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 un- [668] Underfull \hbox (badness 10000) in paragraph at lines 52754--52761 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/int /Constant] * 2 + [Tensor/int/ Underfull \hbox (badness 10000) in paragraph at lines 52770--52772 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 52798--52801 []\T1/ptm/m/n/10.95 pad in-put [669] Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 put_grad\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.36867pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 bor- Overfull \hbox (15.10982pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 fil- Overfull \hbox (3.07567pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (1.97025pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 un- [670] Underfull \hbox (badness 10000) in paragraph at lines 52894--52896 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 52922--52925 []\T1/ptm/m/n/10.95 pad in-put [671] Underfull \hbox (badness 10000) in paragraph at lines 53006--53010 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53012--53016 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53024--53026 []\T1/ptm/m/n/10.95 Generates [672] Underfull \hbox (badness 10000) in paragraph at lines 53027--53031 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 53032--53034 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 []\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 fil-ters\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (1.96985pt too wide) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 bor- Overfull \hbox (8.53983pt too wide) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [673] Underfull \hbox (badness 10000) in paragraph at lines 53109--53116 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/int /Constant] * 2 + [Tensor/int/ [674] Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 put_grad\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.36867pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 bor- Overfull \hbox (15.10982pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 fil- Overfull \hbox (3.07567pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (5.80275pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53222--53227 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/in t/Constant] * 2 + [Tensor/int/ [675] Underfull \hbox (badness 10000) in paragraph at lines 53314--53314 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , [676] Overfull \hbox (6.26228pt too wide) in paragraph at lines 53360--53360 []\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (30.20963pt too wide) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (18.94273pt too wide) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53369--53372 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53374--53377 []\T1/pcr/b/n/10.95 top_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) [677] Underfull \hbox (badness 10000) in paragraph at lines 53379--53383 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53385--53387 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two Underfull \hbox (badness 10000) in paragraph at lines 53393--53394 []\T1/pcr/b/n/10.95 num_groups \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 An int whi ch specifies the number of Underfull \hbox (badness 10000) in paragraph at lines 53396--53397 []\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend Overfull \hbox (45.68224pt too wide) in paragraph at lines 53414--53414 []\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 , Overfull \hbox (32.4221pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 bor- Overfull \hbox (31.19571pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 sam- Overfull \hbox (0.78772pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 di- Underfull \hbox (badness 10000) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 la- Overfull \hbox (8.27748pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53422--53423 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or N one. Corresponds to the kernel [678] Underfull \hbox (badness 10000) in paragraph at lines 53434--53435 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53437--53438 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Overfull \hbox (12.12076pt too wide) in paragraph at lines 53454--53454 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (36.77962pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (21.68022pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 un- Overfull \hbox (18.6905pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53463--53466 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int corresponding to the input Underfull \hbox (badness 10000) in paragraph at lines 53468--53471 []\T1/pcr/b/n/10.95 top_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53473--53477 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53479--53481 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two [679] Underfull \hbox (badness 10000) in paragraph at lines 53487--53488 []\T1/pcr/b/n/10.95 num_groups \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 An int whi ch specifies the number of Underfull \hbox (badness 8019) in paragraph at lines 53490--53491 []\T1/pcr/b/n/10.95 unshared \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Boolean valu e. If true, unshared convolution Overfull \hbox (51.54071pt too wide) in paragraph at lines 53509--53509 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Overfull \hbox (38.9921pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 bor- Overfull \hbox (37.7657pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 sam- Overfull \hbox (7.35771pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 di- Overfull \hbox (3.4048pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 la- Overfull \hbox (14.84747pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53518--53519 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or No ne. Corresponds to the input Underfull \hbox (badness 10000) in paragraph at lines 53530--53531 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53533--53534 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 sub-sam-ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (7.76216pt too wide) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 ) [680] Underfull \hbox (badness 10000) in paragraph at lines 53555--53558 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53560--53568 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53570--53574 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53576--53578 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two Underfull \hbox (badness 10000) in paragraph at lines 53583--53584 []\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 sub-sam-ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la- Underfull \hbox (badness 10000) in paragraph at lines 53606--53607 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or No ne. Corresponds to the input [681] Underfull \hbox (badness 10000) in paragraph at lines 53609--53610 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or N one. Corresponds to the kernel Underfull \hbox (badness 10000) in paragraph at lines 53618--53619 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53621--53622 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 depth-wise_fil ters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 num_channels\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 point- Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53662--53666 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int or [682] Underfull \hbox (badness 10000) in paragraph at lines 53668--53672 []\T1/pcr/b/n/10.95 depthwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 4 of Underfull \hbox (badness 10000) in paragraph at lines 53674--53678 []\T1/pcr/b/n/10.95 pointwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 4 of Underfull \hbox (badness 10000) in paragraph at lines 53687--53689 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 53690--53694 [] Underfull \hbox (badness 10000) in paragraph at lines 53695--53697 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 53698--53700 []\T1/ptm/m/n/10.95 and Underfull \hbox (badness 10000) in paragraph at lines 53705--53708 [] [683] Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 depth-wise_fil ters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 num_channels\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 point- Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53766--53770 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53772--53776 []\T1/pcr/b/n/10.95 depthwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 5 of Underfull \hbox (badness 10000) in paragraph at lines 53778--53782 []\T1/pcr/b/n/10.95 pointwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 5 of [684] Underfull \hbox (badness 10000) in paragraph at lines 53791--53793 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 53794--53798 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 53799--53801 []\T1/ptm/m/n/10.95 width, then [685] Underfull \hbox (badness 10000) in paragraph at lines 53930--53931 []\T1/ptm/m/n/10.95 Precision: sig-moid(with or with-out amdlibm) > ul-tra_fast _sigmoid > [686] [687 <./sigmoid_prec.png>] [688] [689] Underfull \hbox (badness 10000) in paragraph at lines 54230--54232 []\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise [690] Underfull \hbox (badness 10000) in paragraph at lines 54270--54272 []\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise [691] [692] Underfull \hbox (badness 10000) in paragraph at lines 54407--54410 []\T1/pcr/b/n/10.95 W2 \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tensor of shape (n _classes, number of features of Underfull \hbox (badness 10000) in paragraph at lines 54415--54420 []\T1/pcr/b/n/10.95 target \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tensor of shap e either (batch_size,) or [693] [694] Underfull \hbox (badness 10000) in paragraph at lines 54538--54538 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 valid\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pc r/m/sl/10.95 '\T1/pcr/m/sl/10.95 ignore_borders\TS1/pcr/m/sl/10.95 '\T1/pcr/m/s l/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 wrap_centered\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , [695] [696] Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 axes='per-activation'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 ep-silon=0.0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run- Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 ning_average_factor=0.1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 , [697] Underfull \hbox (badness 10000) in paragraph at lines 54800--54800 \T1/ptm/m/it/10.95 var\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axes='per-activati on'\T1/ptm/m/n/10.95 , [698] [699] [700] Underfull \hbox (badness 10000) in paragraph at lines 54995--54997 []\T1/ptm/m/n/10.95 Which blocks [701 <./blocksparse.png>] [702] [703] [704] Overfull \hbox (77.97385pt too wide) in paragraph at lines 55299--55299 []\T1/ptm/m/it/10.95 compute_grad=True\T1/ptm/m/n/10.95 , Overfull \hbox (56.41356pt too wide) in paragraph at lines 55299--55299 \T1/ptm/m/it/10.95 openmp=None\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 5260) in paragraph at lines 55318--55320 []\T1/ptm/m/n/10.95 Raw ran-dom pro-vides the random-number draw-ing func-tion- al-ity, that un-der-lies the friendlier [705] [706] Underfull \hbox (badness 10000) in paragraph at lines 55525--55525 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 n=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10 .95 p=0.5\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 55542--55542 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 avg=0.0\T1/ptm/m/n/10.95 , \T1/ptm/m/i t/10.95 std=1.0\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 55559--55559 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 low=0\T1/ptm/m/n/10.95 , [707] [708] Overfull \hbox (77.18507pt too wide) in paragraph at lines 55641--55641 []\T1/ptm/m/it/10.95 raw_random.RandomStreamsBase\T1/pcr/m/n/10.95 ) [709] Underfull \hbox (badness 10000) in paragraph at lines 55756--55756 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 im-age_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m /it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 55756--55756 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor-der _mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 55766--55767 []\T1/pcr/b/n/10.95 input \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Symbolic theano tensor for images to be Underfull \hbox (badness 10000) in paragraph at lines 55769--55770 []\T1/pcr/b/n/10.95 filters \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Symbolic thea no tensor for convolution Underfull \hbox (badness 10000) in paragraph at lines 55821--55821 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ws=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 ig-nore_border=None\T1/ptm/m/n/10.95 , [710] Underfull \hbox (badness 6741) in paragraph at lines 55833--55835 []\T1/pcr/b/n/10.95 ws \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of length 2 or theano vector of ints of size Underfull \hbox (badness 10000) in paragraph at lines 55841--55845 []\T1/pcr/b/n/10.95 stride \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of two i nts or theano vector of ints of Underfull \hbox (badness 10000) in paragraph at lines 55852--55855 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 sum\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS 1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , Underfull \hbox (badness 6741) in paragraph at lines 55885--55887 []\T1/pcr/b/n/10.95 patch_size \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of l ength 2 or theano vector of ints Underfull \hbox (badness 10000) in paragraph at lines 55897--55897 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ws=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 ig-nore_border=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 7558) in paragraph at lines 55897--55897 \T1/ptm/m/it/10.95 stride=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pad=(0\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 0\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 0)\T 1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 mode='max'\T1/ptm/m/n/10.95 , [711] Underfull \hbox (badness 6741) in paragraph at lines 55909--55911 []\T1/pcr/b/n/10.95 ws \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of length 3 or theano vector of ints of size Underfull \hbox (badness 10000) in paragraph at lines 55917--55920 []\T1/pcr/b/n/10.95 st \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of three int s or theano vector of ints of Underfull \hbox (badness 10000) in paragraph at lines 55928--55931 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 sum\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS 1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , [712] [713] [714] [715] [716] Underfull \hbox (badness 10000) in paragraph at lines 56347--56347 []\T1/ptm/m/it/10.95 input_broadcastable\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 new_order\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- [717] [718] Underfull \hbox (badness 10000) in paragraph at lines 56514--56514 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place_p attern=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 56514--56514 \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nfunc_spec=N one\T1/ptm/m/n/10.95 , [719] [720] [721] Underfull \hbox (badness 10000) in paragraph at lines 56822--56822 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [722] Underfull \hbox (badness 10000) in paragraph at lines 56898--56898 []\T1/ptm/m/it/10.95 axis=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype=None \T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 , [723] Underfull \hbox (badness 10000) in paragraph at lines 56990--56990 []\T1/ptm/m/it/10.95 axis=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype=None \T1/ptm/m/n/10.95 , [724] [725] [726] [727] [728] [729] [730] [731] [732] Underfull \hbox (badness 10000) in paragraph at lines 57865--57865 []\T1/ptm/m/it/10.95 return_index=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 r e-turn_inverse=False\T1/ptm/m/n/10.95 , [733] Underfull \hbox (badness 10000) in paragraph at lines 58021--58021 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 weights=None\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 min-length=None\T1/ptm/m/n/10.95 , \T1/ptm/m/i t/10.95 as- [734] Underfull \hbox (badness 10000) in paragraph at lines 58037--58038 []\T1/pcr/b/n/10.95 weights \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 array of the same shape as x with Underfull \hbox (badness 10000) in paragraph at lines 58040--58041 []\T1/pcr/b/n/10.95 minlength \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 A minimum n umber of bins for the output Underfull \hbox (badness 10000) in paragraph at lines 58043--58045 []\T1/pcr/b/n/10.95 assert_nonneg \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 A flag that inserts an assert_op to [735] [736] [737] [738] [739] [740] [741] [742] [743] [744] [745] Underfull \hbox (badness 10000) in paragraph at lines 59111--59111 []\T1/ptm/m/it/10.95 main\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-verse\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 re-cip-ro-cal\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 cal-cu-late\T1/ptm/m/n/10.95 , [746] [747] [748] [749] [750] [751] [752] Underfull \hbox (badness 10000) in paragraph at lines 59738--59740 []\T1/pcr/b/n/10.95 override \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 If False, it mean r is a new object in the [753] Underfull \hbox (badness 10000) in paragraph at lines 59855--59857 \T1/ptm/m/n/10.95 Apply as many times as re-quired the op-ti-miza-tion lo-cal_u seless_rebroadcast and lo- [754] Underfull \hbox (badness 10000) in paragraph at lines 59977--59977 []\T1/ptm/m/it/10.95 OP\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 max_input_fct=] [774] [775] [776] [777] [778] [779] [780] [781] Underfull \hbox (badness 10000) in paragraph at lines 62480--62480 []\T1/ptm/m/it/10.95 type\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 owner=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 in- [782] [783] Underfull \hbox (badness 10000) in paragraph at lines 62676--62680 []\T1/ptm/m/n/10.95 Theano [784] Underfull \hbox (badness 10000) in paragraph at lines 62849--62851 []\T1/ptm/m/n/10.95 Currently only vari-able cre-ated by Ad-vanced-Sub-ten-sor1 is sup-ported. i.e. [785] [786] [787] [788] [789] Underfull \hbox (badness 10000) in paragraph at lines 63154--63155 []\T1/ptm/m/n/10.95 ImportError: (`/home/Nick/.theano/compiledir_Linux-2.6.35-3 1-generic-x86_64-with- Underfull \hbox (badness 10000) in paragraph at lines 63154--63155 \T1/ptm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109 a06ca04b360.so: un-de- [790] [791] [792] [793] [794] [795] [796] [797] [798] [799] [800] [801] [802] Underfull \hbox (badness 10000) in paragraph at lines 64192--64193 []\T1/pcr/m/n/10.95 theano.compile.debugmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 Unix, Win- Underfull \hbox (badness 10000) in paragraph at lines 64196--64197 []\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 Unix, [803] Underfull \hbox (badness 10000) in paragraph at lines 64238--64239 []\T1/pcr/m/n/10.95 theano.tensor.nnet.abstract_conv\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 64241--64242 []\T1/pcr/m/n/10.95 theano.tensor.nnet.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 Unix, Underfull \hbox (badness 10000) in paragraph at lines 64245--64246 []\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams [804] (./theano.ind Overfull \hbox (27.05162pt too wide) in paragraph at lines 10--12 []\T1/pcr/m/n/10.95 __call__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function_module.Function Overfull \hbox (20.6017pt too wide) in paragraph at lines 12--14 []\T1/pcr/m/n/10.95 __call__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.d3v iz.formatting.PyDotFormatter Overfull \hbox (18.07324pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.debugmode.DebugMode Underfull \hbox (badness 10000) in paragraph at lines 21--22 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function.In Underfull \hbox (badness 10000) in paragraph at lines 22--23 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function.Out Overfull \hbox (34.7492pt too wide) in paragraph at lines 24--26 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.sharedvalue.SharedVariable Underfull \hbox (badness 10000) in paragraph at lines 31--32 []\T1/pcr/m/n/10.95 _tensor_py_operators \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 38--40 []\T1/pcr/m/n/10.95 abs_rel_errors() Underfull \hbox (badness 10000) in paragraph at lines 38--40 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gradient.numeric_grad method\T1/pt m/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 40--42 []\T1/pcr/m/n/10.95 AbstractConv \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10.95 AbstractConv2d \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 44--46 []\T1/pcr/m/n/10.95 AbstractConv2d_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in paragraph at lines 46--48 []\T1/pcr/m/n/10.95 AbstractConv2d_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 48--50 []\T1/pcr/m/n/10.95 AbstractConv3d \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 50--52 []\T1/pcr/m/n/10.95 AbstractConv3d_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in paragraph at lines 52--54 []\T1/pcr/m/n/10.95 AbstractConv3d_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10.95 AbstractConv_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 56--58 []\T1/pcr/m/n/10.95 AbstractConv_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 62--64 []\T1/pcr/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 62--64 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.linalg.ops.HintsOptimizer Underfull \hbox (badness 10000) in paragraph at lines 64--66 []\T1/pcr/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 64--66 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.FusionOptimizer Underfull \hbox (badness 10000) in paragraph at lines 66--68 []\T1/pcr/m/n/10.95 add_requirements() Overfull \hbox (10.54869pt too wide) in paragraph at lines 66--68 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.InplaceElemwiseOptimize r Underfull \hbox (badness 10000) in paragraph at lines 68--70 []\T1/pcr/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 68--70 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.ShapeOptimizer [805] Underfull \hbox (badness 10000) in paragraph at lines 72--74 []\T1/pcr/m/n/10.95 add_to_zview() Overfull \hbox (9.78305pt too wide) in paragraph at lines 72--74 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 78--79 []\T1/pcr/m/n/10.95 age_thresh_use \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fi g.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 80--81 []\T1/pcr/m/n/10.95 algo_bwd_data \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.dnn.conv at- Underfull \hbox (badness 7030) in paragraph at lines 91--92 []\T1/pcr/m/n/10.95 allow_output_prealloc \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig.config.scan Underfull \hbox (badness 10000) in paragraph at lines 92--93 []\T1/pcr/m/n/10.95 alpha_merge() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 105--106 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarr ay.dnn.NoCuDNNRaise Underfull \hbox (badness 10000) in paragraph at lines 106--107 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarr ay.dnn.RNNBlock Overfull \hbox (7.2207pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbo x.linalg.ops.HintsOptimizer Underfull \hbox (badness 10000) in paragraph at lines 109--110 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.FusionOptimizer Overfull \hbox (18.61914pt too wide) in paragraph at lines 110--112 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.InplaceElemwiseOptimizer Underfull \hbox (badness 10000) in paragraph at lines 112--113 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.ShapeOptimizer Underfull \hbox (badness 10000) in paragraph at lines 113--114 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.UnShapeOptimizer Overfull \hbox (33.74168pt too wide) in paragraph at lines 114--116 []\T1/pcr/m/n/10.95 apply_colors \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.d 3viz.formatting.PyDotFormatter Underfull \hbox (badness 10000) in paragraph at lines 116--117 []\T1/pcr/m/n/10.95 apply_rebroadcast_opt() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 118--119 []\T1/pcr/m/n/10.95 argmax() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 120--121 []\T1/pcr/m/n/10.95 argmin() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 6125) in paragraph at lines 121--123 []\T1/pcr/m/n/10.95 argsort() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 123--125 []\T1/pcr/m/n/10.95 as_gpuarray_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 127--129 []\T1/pcr/m/n/10.95 as_sparse_or_tensor_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 129--130 []\T1/pcr/m/n/10.95 as_sparse_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 131--132 []\T1/pcr/m/n/10.95 as_tensor_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 133--135 []\T1/pcr/m/n/10.95 assert_conv_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 137--139 []\T1/pcr/m/n/10.95 assert_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 139--140 []\T1/pcr/m/n/10.95 astype() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 145--146 []\T1/pcr/m/n/10.95 BadDestroyMap \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n [806] Underfull \hbox (badness 10000) in paragraph at lines 146--147 []\T1/pcr/m/n/10.95 BadOptimization \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 147--148 []\T1/pcr/m/n/10.95 BadThunkOutput \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 148--149 []\T1/pcr/m/n/10.95 BadViewMap \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 152--154 []\T1/pcr/m/n/10.95 BaseAbstractConv \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 154--155 []\T1/pcr/m/n/10.95 BaseGpuCorr3dMM \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 156--158 []\T1/pcr/m/n/10.95 batch_normalization() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 163--164 []\T1/pcr/m/n/10.95 batched_tensordot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10.95 bilinear_kernel_1D() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 167--169 []\T1/pcr/m/n/10.95 bilinear_kernel_2D() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 169--171 []\T1/pcr/m/n/10.95 bilinear_upsampling() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 171--173 []\T1/pcr/m/n/10.95 binary_crossentropy() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 175--176 []\T1/pcr/m/n/10.95 binomial() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10.95 border_mode_to_pad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 5652) in paragraph at lines 185--186 []\T1/pcr/m/n/10.95 borrow \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function.Out at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 186--187 []\T1/pcr/m/n/10.95 broadcast_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Overfull \hbox (22.05878pt too wide) in paragraph at lines 187--189 []\T1/pcr/m/n/10.95 broadcastable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Overfull \hbox (19.14554pt too wide) in paragraph at lines 189--191 []\T1/pcr/m/n/10.95 broadcastable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. tensor._tensor_py_operators Overfull \hbox (9.70728pt too wide) in paragraph at lines 197--199 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 199--200 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 200--201 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 201--202 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (8.9188pt too wide) in paragraph at lines 203--204 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 204--206 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10.95 c_cleanup_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 211--212 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.DeepCopyOp Underfull \hbox (badness 10000) in paragraph at lines 212--213 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.Rebroadcast Underfull \hbox (badness 10000) in paragraph at lines 213--214 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.Shape method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 215--216 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.SpecifyShape [807] Underfull \hbox (badness 10000) in paragraph at lines 217--218 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuAlloc Overfull \hbox (20.16408pt too wide) in paragraph at lines 218--220 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuAllocEmpty Overfull \hbox (19.57288pt too wide) in paragraph at lines 220--222 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 222--223 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuEye Overfull \hbox (12.99205pt too wide) in paragraph at lines 223--225 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuFromHost Underfull \hbox (badness 10000) in paragraph at lines 225--226 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuJoin Overfull \hbox (6.17024pt too wide) in paragraph at lines 226--228 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuReshape Underfull \hbox (badness 10000) in paragraph at lines 228--229 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuSplit Overfull \hbox (12.99205pt too wide) in paragraph at lines 230--232 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.HostFromGpu Overfull \hbox (47.38577pt too wide) in paragraph at lines 233--235 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorr3dMM_gradInputs Overfull \hbox (54.28418pt too wide) in paragraph at lines 235--237 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorr3dMM_gradWeights Underfull \hbox (badness 10000) in paragraph at lines 237--238 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorrMM Overfull \hbox (36.43579pt too wide) in paragraph at lines 238--240 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorrMM_gradInputs Overfull \hbox (43.3342pt too wide) in paragraph at lines 240--242 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorrMM_gradWeights Underfull \hbox (badness 10000) in paragraph at lines 242--243 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuDot22 Underfull \hbox (badness 10000) in paragraph at lines 243--244 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuGemm Underfull \hbox (badness 10000) in paragraph at lines 245--246 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuGemv Underfull \hbox (badness 10000) in paragraph at lines 246--247 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuGer Underfull \hbox (badness 10000) in paragraph at lines 247--248 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.dnn.DnnVersion Overfull \hbox (2.25044pt too wide) in paragraph at lines 248--249 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.dnn.GpuDnnPoolDesc Overfull \hbox (31.55196pt too wide) in paragraph at lines 249--251 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuCAReduceCPY Overfull \hbox (35.19838pt too wide) in paragraph at lines 251--253 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuCAReduceCuda Overfull \hbox (7.22098pt too wide) in paragraph at lines 253--254 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 255--256 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuErfinv Overfull \hbox (36.26048pt too wide) in paragraph at lines 256--258 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.neighbours.GpuImages2Neibs Overfull \hbox (111.65028pt too wide) in paragraph at lines 258--260 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (133.14497pt too wide) in paragraph at lines 260--262 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 262--263 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuSoftmax Overfull \hbox (18.95961pt too wide) in paragraph at lines 263--265 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuSoftmaxWithBias Overfull \hbox (73.07405pt too wide) in paragraph at lines 265--267 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (104.53331pt too wide) in paragraph at lines 267--269 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (59.09103pt too wide) in paragraph at lines 269--271 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuAdvancedSubtensor1 Overfull \hbox (10.44048pt too wide) in paragraph at lines 271--273 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 273--274 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandb ox.rng_mrg.DotModulo Overfull \hbox (23.14203pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spars e.basic.StructuredDotGradCSC Overfull \hbox (22.5289pt too wide) in paragraph at lines 277--279 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spars e.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 279--280 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.elemwise.CAReduce Underfull \hbox (badness 10000) in paragraph at lines 280--281 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.elemwise.Elemwise Overfull \hbox (8.73169pt too wide) in paragraph at lines 281--283 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.elemwise.MulWithoutZeros Overfull \hbox (4.1441pt too wide) in paragraph at lines 283--285 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 285--286 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.extra_ops.CumOp Overfull \hbox (5.9836pt too wide) in paragraph at lines 286--288 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.extra_ops.SearchsortedOp [808] Underfull \hbox (badness 10000) in paragraph at lines 290--291 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed _list.basic.GetItem Underfull \hbox (badness 10000) in paragraph at lines 291--292 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed _list.basic.Length Underfull \hbox (badness 10000) in paragraph at lines 292--293 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed _list.basic.Reverse Underfull \hbox (badness 10000) in paragraph at lines 294--295 []\T1/pcr/m/n/10.95 c_code_cache_version() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 CLink-er-Type Underfull \hbox (badness 10000) in paragraph at lines 296--298 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 296--298 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.DeepCopyOp Underfull \hbox (badness 10000) in paragraph at lines 298--300 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 300--302 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 300--302 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.Shape method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 302--304 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 302--304 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.Shape_i method\T1/ptm/ m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 304--306 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 304--306 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape Underfull \hbox (badness 10000) in paragraph at lines 306--308 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 306--308 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.ViewOp method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 308--310 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 308--310 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 310--312 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 310--312 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CDataType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 312--314 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 312--314 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CEnumType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 314--316 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 314--316 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 316--318 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 316--318 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.EnumType method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 318--320 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 320--322 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 320--322 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAlloc Underfull \hbox (badness 10000) in paragraph at lines 322--324 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (5.52364pt too wide) in paragraph at lines 322--324 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 324--326 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (4.93243pt too wide) in paragraph at lines 324--326 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 326--328 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 326--328 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuEye Underfull \hbox (badness 10000) in paragraph at lines 328--330 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 328--330 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuFromHost Underfull \hbox (badness 10000) in paragraph at lines 330--332 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 330--332 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuJoin Underfull \hbox (badness 10000) in paragraph at lines 332--334 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 332--334 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuReshape Underfull \hbox (badness 10000) in paragraph at lines 334--336 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 334--336 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuSplit Underfull \hbox (badness 10000) in paragraph at lines 336--338 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 336--338 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuToGpu Underfull \hbox (badness 10000) in paragraph at lines 338--340 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 338--340 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.HostFromGpu Underfull \hbox (badness 10000) in paragraph at lines 340--342 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (0.66197pt too wide) in paragraph at lines 340--342 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM Underfull \hbox (badness 10000) in paragraph at lines 342--344 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 342--344 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 344--346 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 346--348 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 348--350 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 348--350 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGemmBatch Underfull \hbox (badness 10000) in paragraph at lines 350--352 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 352--354 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 352--354 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGer method\T1/ptm /m/n/10.95 ), [809] Underfull \hbox (badness 10000) in paragraph at lines 354--356 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 354--356 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnBase method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 356--358 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 356--358 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 358--360 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 358--360 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 360--362 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 360--362 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Underfull \hbox (badness 10000) in paragraph at lines 362--364 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 362--364 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 364--366 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (21.62004pt too wide) in paragraph at lines 364--366 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.neighbours.GpuImages2Neib s Underfull \hbox (badness 10000) in paragraph at lines 366--368 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (97.00984pt too wide) in paragraph at lines 366--368 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuCrossentropySoftm ax1HotWithBiasDx Underfull \hbox (badness 10000) in paragraph at lines 368--370 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (118.50453pt too wide) in paragraph at lines 368--370 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuCrossentropySoftm axArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 370--372 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 370--372 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmax Underfull \hbox (badness 10000) in paragraph at lines 372--374 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (4.31917pt too wide) in paragraph at lines 372--374 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmaxWithBias Underfull \hbox (badness 10000) in paragraph at lines 374--376 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (58.43361pt too wide) in paragraph at lines 374--376 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 376--378 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (89.89287pt too wide) in paragraph at lines 376--378 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (44.45059pt too wide) in paragraph at lines 378--380 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedSubt ensor1 Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (9.78305pt too wide) in paragraph at lines 380--382 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 388--390 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.DotModulo Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (8.50159pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSC Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (7.88846pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.MulWithoutZeros Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 398--400 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Prod method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 400--402 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 402--404 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.MakeVector method\T1/pt m/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 410--412 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Append method\T1/ ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 414--416 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Insert method\T1/ ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 416--418 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 416--418 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Length method\T1/ ptm/m/n/10.95 ), [810] Underfull \hbox (badness 10000) in paragraph at lines 418--420 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 6125) in paragraph at lines 418--420 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Reverse method\T1 /ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 420--421 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/i t/10.95 Op Underfull \hbox (badness 10000) in paragraph at lines 421--423 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Overfull \hbox (12.44383pt too wide) in paragraph at lines 421--423 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.CGpuKernelBase Underfull \hbox (badness 10000) in paragraph at lines 423--425 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Overfull \hbox (16.91151pt too wide) in paragraph at lines 423--425 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY Underfull \hbox (badness 10000) in paragraph at lines 425--427 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Overfull \hbox (20.55794pt too wide) in paragraph at lines 425--427 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 10000) in paragraph at lines 427--429 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Underfull \hbox (badness 10000) in paragraph at lines 427--429 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.CAReduce Underfull \hbox (badness 10000) in paragraph at lines 429--431 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Underfull \hbox (badness 10000) in paragraph at lines 429--431 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 432--434 []\T1/pcr/m/n/10.95 c_code_helper() Overfull \hbox (0.66197pt too wide) in paragraph at lines 432--434 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM Underfull \hbox (badness 10000) in paragraph at lines 434--436 []\T1/pcr/m/n/10.95 c_code_helper() Underfull \hbox (badness 10000) in paragraph at lines 434--436 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 436--438 []\T1/pcr/m/n/10.95 c_code_reduce_01X() Overfull \hbox (20.55794pt too wide) in paragraph at lines 436--438 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 10000) in paragraph at lines 440--442 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 440--442 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 442--443 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 442--443 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CDataType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 443--444 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnBase method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 444--446 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 444--446 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 446--448 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Overfull \hbox (9.70728pt too wide) in paragraph at lines 450--452 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 452--453 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 453--454 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 454--455 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (8.9188pt too wide) in paragraph at lines 456--457 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 457--459 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 460--461 []\T1/pcr/m/n/10.95 c_element_type() Underfull \hbox (badness 10000) in paragraph at lines 460--461 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 461--463 []\T1/pcr/m/n/10.95 c_element_type() Underfull \hbox (badness 10000) in paragraph at lines 461--463 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Overfull \hbox (9.70728pt too wide) in paragraph at lines 464--466 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 466--467 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 467--468 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CEnumType Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 469--470 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (8.9188pt too wide) in paragraph at lines 471--472 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 472--474 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 474--475 []\T1/pcr/m/n/10.95 c_extract_out() Underfull \hbox (badness 10000) in paragraph at lines 474--475 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType [811] Underfull \hbox (badness 10000) in paragraph at lines 480--482 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (5.52364pt too wide) in paragraph at lines 480--482 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 482--484 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (4.93243pt too wide) in paragraph at lines 482--484 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 484--486 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 484--486 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuFromHost Underfull \hbox (badness 10000) in paragraph at lines 486--488 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 486--488 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuSplit Underfull \hbox (badness 10000) in paragraph at lines 488--490 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (0.66197pt too wide) in paragraph at lines 488--490 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM Underfull \hbox (badness 10000) in paragraph at lines 490--492 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 490--492 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 492--493 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 492--493 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BlasOp method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 493--494 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 493--494 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnBase method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 496--498 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 496--498 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 498--500 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 500--502 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (118.50453pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuCrossentropySoftm axArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (58.43361pt too wide) in paragraph at lines 504--506 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (89.89287pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 508--510 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 510--512 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuContextType Overfull \hbox (9.70728pt too wide) in paragraph at lines 514--516 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 516--517 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Overfull \hbox (11.89706pt too wide) in paragraph at lines 517--519 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAlloc Overfull \hbox (39.87405pt too wide) in paragraph at lines 519--521 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAllocEmpty Overfull \hbox (39.28285pt too wide) in paragraph at lines 521--523 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuContiguous Overfull \hbox (32.70203pt too wide) in paragraph at lines 523--525 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuFromHost Overfull \hbox (7.36388pt too wide) in paragraph at lines 525--527 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuJoin Overfull \hbox (8.86389pt too wide) in paragraph at lines 527--529 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuSplit Overfull \hbox (35.01239pt too wide) in paragraph at lines 529--531 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.BaseGpuCorr3dMM Overfull \hbox (24.06241pt too wide) in paragraph at lines 531--533 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 533--534 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.BlasOp Overfull \hbox (17.19707pt too wide) in paragraph at lines 534--535 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemmBatch Underfull \hbox (badness 10000) in paragraph at lines 535--536 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.DnnBase Overfull \hbox (24.82932pt too wide) in paragraph at lines 537--539 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvDesc Overfull \hbox (21.96042pt too wide) in paragraph at lines 539--541 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnPoolDesc Overfull \hbox (54.90836pt too wide) in paragraph at lines 541--543 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuCAReduceCuda Overfull \hbox (26.93095pt too wide) in paragraph at lines 543--545 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuElemwise Overfull \hbox (16.75864pt too wide) in paragraph at lines 545--547 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuErfcinv Overfull \hbox (11.28392pt too wide) in paragraph at lines 547--549 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuErfinv Overfull \hbox (25.00443pt too wide) in paragraph at lines 549--551 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaBase [812] Overfull \hbox (55.97046pt too wide) in paragraph at lines 551--553 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.neighbours.GpuImages2Neibs Overfull \hbox (131.36026pt too wide) in paragraph at lines 553--555 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (152.85495pt too wide) in paragraph at lines 555--557 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Overfull \hbox (38.66959pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuSoftmaxWithBias Overfull \hbox (92.78403pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (124.24329pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (44.13347pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Overfull \hbox (8.9188pt too wide) in paragraph at lines 566--567 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 567--569 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 572--573 []\T1/pcr/m/n/10.95 c_init() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.p arams_type.ParamsType Underfull \hbox (badness 6675) in paragraph at lines 575--576 []\T1/pcr/m/n/10.95 c_init() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.t ype.EnumType method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 577--578 []\T1/pcr/m/n/10.95 c_init() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Overfull \hbox (22.84726pt too wide) in paragraph at lines 581--583 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 583--584 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.blas.BlasOp Overfull \hbox (22.05878pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Overfull \hbox (30.52295pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 590--592 []\T1/pcr/m/n/10.95 c_init_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 590--592 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 592--594 []\T1/pcr/m/n/10.95 c_init_code_struct() Overfull \hbox (58.43361pt too wide) in paragraph at lines 592--594 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 594--596 []\T1/pcr/m/n/10.95 c_init_code_struct() Overfull \hbox (9.78305pt too wide) in paragraph at lines 594--596 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 596--598 []\T1/pcr/m/n/10.95 c_init_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 596--598 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 598--599 []\T1/pcr/m/n/10.95 c_is_simple() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.CLinkerType Overfull \hbox (16.27727pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 603--604 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 604--605 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.DnnBase Overfull \hbox (0.71742pt too wide) in paragraph at lines 605--606 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.DnnVersion Overfull \hbox (31.3993pt too wide) in paragraph at lines 606--608 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.GpuDnnConvDesc Overfull \hbox (28.53041pt too wide) in paragraph at lines 608--610 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.GpuDnnPoolDesc Overfull \hbox (31.57442pt too wide) in paragraph at lines 610--612 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.linalg.GpuMagmaBase Overfull \hbox (15.48878pt too wide) in paragraph at lines 612--614 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.type.GpuArrayType Overfull \hbox (22.84726pt too wide) in paragraph at lines 616--618 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 618--619 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.CDataType Overfull \hbox (7.28741pt too wide) in paragraph at lines 620--621 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.dnn.DnnVersion Overfull \hbox (37.9693pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.dnn.GpuDnnConvDesc Overfull \hbox (35.1004pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.dnn.GpuDnnPoolDesc [813] Overfull \hbox (38.14441pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.linalg.GpuMagmaBase Overfull \hbox (22.05878pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 629--630 []\T1/pcr/m/n/10.95 c_literal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 632--634 []\T1/pcr/m/n/10.95 c_no_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 632--634 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 637--639 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 637--639 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 639--640 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 639--640 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CDataType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 640--641 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 640--641 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CEnumType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 642--644 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 642--644 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuJoin Underfull \hbox (badness 10000) in paragraph at lines 644--646 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 644--646 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 646--648 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (20.55794pt too wide) in paragraph at lines 646--648 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 10000) in paragraph at lines 648--650 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (21.62004pt too wide) in paragraph at lines 648--650 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.neighbours.GpuImages2Neib s Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (44.45059pt too wide) in paragraph at lines 650--652 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedSubt ensor1 Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (9.78305pt too wide) in paragraph at lines 652--654 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 654--656 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 654--656 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 656--658 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 656--658 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 658--660 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 658--660 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 662--664 []\T1/pcr/m/n/10.95 c_support_code_apply() Underfull \hbox (badness 10000) in paragraph at lines 662--664 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape Underfull \hbox (badness 10000) in paragraph at lines 664--666 []\T1/pcr/m/n/10.95 c_support_code_apply() Underfull \hbox (badness 10000) in paragraph at lines 664--666 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\T1/pcr/m/n/10.95 c_support_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 667--669 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10.95 c_support_code_struct() Overfull \hbox (58.43361pt too wide) in paragraph at lines 669--671 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10.95 c_support_code_struct() Overfull \hbox (89.89287pt too wide) in paragraph at lines 671--673 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10.95 c_support_code_struct() Overfull \hbox (9.78305pt too wide) in paragraph at lines 673--675 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 675--677 []\T1/pcr/m/n/10.95 c_support_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 675--677 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 681--682 []\T1/pcr/m/n/10.95 c_sync() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 682--683 []\T1/pcr/m/n/10.95 c_to_string() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.EnumType Underfull \hbox (badness 10000) in paragraph at lines 687--688 []\T1/pcr/m/n/10.95 CAReduceDtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n [814] Underfull \hbox (badness 10000) in paragraph at lines 694--696 []\T1/pcr/m/n/10.95 causal_conv1d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 700--701 []\T1/pcr/m/n/10.95 CGpuKernelBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 701--702 []\T1/pcr/m/n/10.95 change_input() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano .gof.FunctionGraph Underfull \hbox (badness 10000) in paragraph at lines 702--704 []\T1/pcr/m/n/10.95 check_and_convert_boolean_masks() Underfull \hbox (badness 10000) in paragraph at lines 702--704 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule theano.gpuarray.subtensor\T1/p tm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 706--708 []\T1/pcr/m/n/10.95 check_for_x_over_absX() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 708--709 []\T1/pcr/m/n/10.95 check_integrity() Underfull \hbox (badness 10000) in paragraph at lines 708--709 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 709--711 []\T1/pcr/m/n/10.95 check_preallocated_output \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 con- Underfull \hbox (badness 7522) in paragraph at lines 711--713 []\T1/pcr/m/n/10.95 check_preallocated_output_ndim \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 con- Overfull \hbox (41.24295pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10.95 choice() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandb ox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 720--721 []\T1/pcr/m/n/10.95 choose() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 726--727 []\T1/pcr/m/n/10.95 clip() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 734--735 []\T1/pcr/m/n/10.95 clone() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.ty pe.PureType.Constant Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10.95 clone() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.ty pe.PureType.Variable Underfull \hbox (badness 10000) in paragraph at lines 736--737 []\T1/pcr/m/n/10.95 clone_get_equiv() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 737--738 []\T1/pcr/m/n/10.95 clone_get_equiv() Underfull \hbox (badness 10000) in paragraph at lines 737--738 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 738--740 []\T1/pcr/m/n/10.95 clone_with_new_inputs() Underfull \hbox (badness 10000) in paragraph at lines 740--742 []\T1/pcr/m/n/10.95 code_version() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 744--745 []\T1/pcr/m/n/10.95 collect_callbacks() Underfull \hbox (badness 10000) in paragraph at lines 744--745 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 746--747 []\T1/pcr/m/n/10.95 CompatUnpickler \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 750--751 []\T1/pcr/m/n/10.95 compile_limit \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.traceback at- Underfull \hbox (badness 10000) in paragraph at lines 759--760 []\T1/pcr/m/n/10.95 conf() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators [815] Underfull \hbox (badness 10000) in paragraph at lines 761--762 []\T1/pcr/m/n/10.95 conj() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Overfull \hbox (6.00555pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10.95 conjugate() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 766--767 []\T1/pcr/m/n/10.95 consider_constant() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 772--773 []\T1/pcr/m/n/10.95 Constant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 777--778 []\T1/pcr/m/n/10.95 constructors \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 778--779 []\T1/pcr/m/n/10.95 ConstructSparseFromList \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Overfull \hbox (28.17921pt too wide) in paragraph at lines 779--781 []\T1/pcr/m/n/10.95 container \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.sharedvalue.SharedVariable Overfull \hbox (15.48878pt too wide) in paragraph at lines 782--784 []\T1/pcr/m/n/10.95 context_name \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.type.GpuArrayType Overfull \hbox (42.57806pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10.95 conv() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nnet.abstract_conv.BaseAbstractConv Underfull \hbox (badness 10000) in paragraph at lines 789--790 []\T1/pcr/m/n/10.95 conv2d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 792--794 []\T1/pcr/m/n/10.95 conv2d_grad_wrt_inputs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 794--796 []\T1/pcr/m/n/10.95 conv2d_grad_wrt_weights() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 796--797 []\T1/pcr/m/n/10.95 conv2d_transpose() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 798--799 []\T1/pcr/m/n/10.95 conv3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 799--800 []\T1/pcr/m/n/10.95 conv3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 800--802 []\T1/pcr/m/n/10.95 conv3d_grad_wrt_inputs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 802--804 []\T1/pcr/m/n/10.95 conv3d_grad_wrt_weights() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10.95 convert_variable() Underfull \hbox (badness 10000) in paragraph at lines 805--807 []\T1/pcr/m/n/10.95 convert_variable() Underfull \hbox (badness 10000) in paragraph at lines 805--807 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 807--808 []\T1/pcr/m/n/10.95 ConvolutionIndices \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 808--809 []\T1/pcr/m/n/10.95 convolve() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Overfull \hbox (0.77165pt too wide) in paragraph at lines 809--811 []\T1/pcr/m/n/10.95 copy() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function_module.Function Underfull \hbox (badness 10000) in paragraph at lines 811--812 []\T1/pcr/m/n/10.95 copy() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Overfull \hbox (44.13347pt too wide) in paragraph at lines 812--814 []\T1/pcr/m/n/10.95 copy_into() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Overfull \hbox (44.13347pt too wide) in paragraph at lines 814--816 []\T1/pcr/m/n/10.95 copy_of_x() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 820--821 []\T1/pcr/m/n/10.95 CpuContiguous \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 822--823 []\T1/pcr/m/n/10.95 csc_from_dense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 828--829 []\T1/pcr/m/n/10.95 csm_properties \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule [816] Underfull \hbox (badness 10000) in paragraph at lines 833--834 []\T1/pcr/m/n/10.95 csr_from_dense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 855--856 []\T1/pcr/m/n/10.95 DebugModeError \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 856--857 []\T1/pcr/m/n/10.95 debugprint \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig.co nfig.profiling at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 859--861 []\T1/pcr/m/n/10.95 default_infer_shape() Underfull \hbox (badness 5374) in paragraph at lines 859--861 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.ShapeFeature method\T1/ ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 862--863 []\T1/pcr/m/n/10.95 default_output() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thea no.gof.graph.Apply Underfull \hbox (badness 10000) in paragraph at lines 863--864 []\T1/pcr/m/n/10.95 dense_from_sparse \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 864--865 []\T1/pcr/m/n/10.95 DenseFromSparse \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (12.57555pt too wide) in paragraph at lines 880--882 []\T1/pcr/m/n/10.95 dimshuffle() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 882--883 []\T1/pcr/m/n/10.95 disconnected_grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 5119) in paragraph at lines 886--887 []\T1/pcr/m/n/10.95 disown() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.F unctionGraph method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 887--889 []\T1/pcr/m/n/10.95 dnn_batch_normalization_test() \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10.95 dnn_batch_normalization_train() \T1/ptm/m/n/10.95 (\T1/ptm/ m/it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 893--894 []\T1/pcr/m/n/10.95 dnn_gradinput() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 894--895 []\T1/pcr/m/n/10.95 dnn_gradinput3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 895--896 []\T1/pcr/m/n/10.95 dnn_gradweight() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 896--897 []\T1/pcr/m/n/10.95 dnn_gradweight3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 898--899 []\T1/pcr/m/n/10.95 dnn_spatialtf() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 902--904 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 902--904 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAlloc [817] Underfull \hbox (badness 10000) in paragraph at lines 904--906 []\T1/pcr/m/n/10.95 do_constant_folding() Overfull \hbox (5.52364pt too wide) in paragraph at lines 904--906 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 906--908 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 906--908 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 908--910 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 908--910 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 910--912 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 910--912 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Underfull \hbox (badness 10000) in paragraph at lines 912--914 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 912--914 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.io.MPIRecv method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 914--916 []\T1/pcr/m/n/10.95 do_constant_folding() Overfull \hbox (41.0776pt too wide) in paragraph at lines 914--916 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.nnet.abstract_conv.BaseAbst ractConv Underfull \hbox (badness 10000) in paragraph at lines 916--918 []\T1/pcr/m/n/10.95 do_type_checking() Overfull \hbox (9.78305pt too wide) in paragraph at lines 916--918 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 926--927 []\T1/pcr/m/n/10.95 dtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray .type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10.95 dtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators at- Overfull \hbox (22.05878pt too wide) in paragraph at lines 930--932 []\T1/pcr/m/n/10.95 dtype_specs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 949--950 []\T1/pcr/m/n/10.95 ensure_sorted_indices \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 950--951 []\T1/pcr/m/n/10.95 EnsureSortedIndices \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c lass in Underfull \hbox (badness 10000) in paragraph at lines 951--953 []\T1/pcr/m/n/10.95 enum_from_alias() Underfull \hbox (badness 10000) in paragraph at lines 951--953 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 966--967 []\T1/pcr/m/n/10.95 eval() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.typ e.PureType.Variable Overfull \hbox (42.1842pt too wide) in paragraph at lines 967--969 []\T1/pcr/m/n/10.95 evaluate() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spa rse.sandbox.sp.ConvolutionIndices Underfull \hbox (badness 10000) in paragraph at lines 971--972 []\T1/pcr/m/n/10.95 excluding() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.mode.Mode Underfull \hbox (badness 10000) in paragraph at lines 972--973 []\T1/pcr/m/n/10.95 execute_callbacks() Underfull \hbox (badness 10000) in paragraph at lines 972--973 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Overfull \hbox (3.13728pt too wide) in paragraph at lines 980--981 []\T1/pcr/m/n/10.95 extended() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType [818] Underfull \hbox (badness 10000) in paragraph at lines 991--992 []\T1/pcr/m/n/10.95 fill() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 992--993 []\T1/pcr/m/n/10.95 fill_diagonal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 993--995 []\T1/pcr/m/n/10.95 fill_diagonal_offset() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 996--997 []\T1/pcr/m/n/10.95 FillDiagonalOffset \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 998--999 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.p arams_type.ParamsType Underfull \hbox (badness 6675) in paragraph at lines 1000--1001 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.t ype.EnumType method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1003--1004 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 1005--1006 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gradi ent.DisconnectedType Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10.95 filter_variable() Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 1010--1011 []\T1/pcr/m/n/10.95 find_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ul e Overfull \hbox (0.77165pt too wide) in paragraph at lines 1011--1013 []\T1/pcr/m/n/10.95 finder \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function_module.Function Underfull \hbox (badness 6125) in paragraph at lines 1015--1017 []\T1/pcr/m/n/10.95 flatten() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Overfull \hbox (8.73242pt too wide) in paragraph at lines 1020--1021 []\T1/pcr/m/n/10.95 flops() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarr ay.blas.BaseGpuCorr3dMM Overfull \hbox (49.14806pt too wide) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10.95 flops() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .nnet.abstract_conv.BaseAbstractConv Overfull \hbox (0.77165pt too wide) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10.95 free() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function_module.Function Underfull \hbox (badness 10000) in paragraph at lines 1032--1033 []\T1/pcr/m/n/10.95 fromalias() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Underfull \hbox (badness 10000) in paragraph at lines 1034--1035 []\T1/pcr/m/n/10.95 Function \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1038--1039 []\T1/pcr/m/n/10.95 function_dump() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Overfull \hbox (46.6842pt too wide) in paragraph at lines 1049--1051 []\T1/pcr/m/n/10.95 gen() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.s hared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1051--1052 []\T1/pcr/m/n/10.95 general_toposort() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1053--1054 []\T1/pcr/m/n/10.95 get_aliases() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.EnumType [819] Underfull \hbox (badness 10000) in paragraph at lines 1056--1058 []\T1/pcr/m/n/10.95 get_constant() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano .tensor.opt.Canonizer Underfull \hbox (badness 10000) in paragraph at lines 1058--1059 []\T1/pcr/m/n/10.95 get_context() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1061--1063 []\T1/pcr/m/n/10.95 get_conv_gradinputs_shape_1axis() Underfull \hbox (badness 10000) in paragraph at lines 1061--1063 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1065--1067 []\T1/pcr/m/n/10.95 get_conv_gradweights_shape_1axis() Underfull \hbox (badness 10000) in paragraph at lines 1065--1067 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1067--1069 []\T1/pcr/m/n/10.95 get_conv_output_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1069--1071 []\T1/pcr/m/n/10.95 get_conv_shape_1axis() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Overfull \hbox (3.13728pt too wide) in paragraph at lines 1071--1072 []\T1/pcr/m/n/10.95 get_enum() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType Overfull \hbox (9.70728pt too wide) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10.95 get_field() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1074--1076 []\T1/pcr/m/n/10.95 get_helper_c_code_args() Overfull \hbox (9.78305pt too wide) in paragraph at lines 1074--1076 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 1077--1078 []\T1/pcr/m/n/10.95 get_item_2lists \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1079--1080 []\T1/pcr/m/n/10.95 get_item_scalar \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 []\T1/pcr/m/n/10.95 get_out_shape() Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConv Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 []\T1/pcr/m/n/10.95 get_output_info() Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 []\T1/pcr/m/n/10.95 get_param_size() Overfull \hbox (16.27727pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10.95 get_params() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1090--1091 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.graph.Apply Underfull \hbox (badness 10000) in paragraph at lines 1091--1092 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.graph.Node Underfull \hbox (badness 10000) in paragraph at lines 1092--1093 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.graph.Variable Overfull \hbox (12.22554pt too wide) in paragraph at lines 1093--1095 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.PureType.Variable Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 []\T1/pcr/m/n/10.95 get_scalar_constant_value() Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1097--1098 []\T1/pcr/m/n/10.95 get_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 1100--1102 []\T1/pcr/m/n/10.95 get_substream_rstates() Overfull \hbox (26.60251pt too wide) in paragraph at lines 1100--1102 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.MRG_RandomStreams Overfull \hbox (3.13728pt too wide) in paragraph at lines 1102--1103 []\T1/pcr/m/n/10.95 get_type() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType Overfull \hbox (41.3192pt too wide) in paragraph at lines 1103--1105 []\T1/pcr/m/n/10.95 get_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.sharedvalue.SharedVariable Overfull \hbox (56.16759pt too wide) in paragraph at lines 1105--1107 []\T1/pcr/m/n/10.95 get_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArraySharedVariable Underfull \hbox (badness 10000) in paragraph at lines 1111--1112 []\T1/pcr/m/n/10.95 GetItem2ListsGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1113--1114 []\T1/pcr/m/n/10.95 GetItemListGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (59.93423pt too wide) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.basic_ops.CGpuKernelBase Overfull \hbox (18.3358pt too wide) in paragraph at lines 1120--1122 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.basic_ops.GpuEye Overfull \hbox (52.63068pt too wide) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.basic_ops.GpuKernelBase [820] Overfull \hbox (64.40192pt too wide) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.elemwise.GpuCAReduceCPY Overfull \hbox (68.04834pt too wide) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.elemwise.GpuCAReduceCuda Overfull \hbox (69.11044pt too wide) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.neighbours.GpuImages2Neibs Overfull \hbox (144.50024pt too wide) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (165.99493pt too wide) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Overfull \hbox (12.25862pt too wide) in paragraph at lines 1134--1135 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuSoftmax Overfull \hbox (51.80957pt too wide) in paragraph at lines 1135--1137 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuSoftmaxWithBias Overfull \hbox (137.38327pt too wide) in paragraph at lines 1137--1139 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 1139--1141 []\T1/pcr/m/n/10.95 gpu_matrix_inverse() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1142--1143 []\T1/pcr/m/n/10.95 gpu_supported() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 6110) in paragraph at lines 1146--1148 []\T1/pcr/m/n/10.95 GpuAdvancedBooleanSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1148--1150 []\T1/pcr/m/n/10.95 GpuAdvancedIncSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10.95 GpuAdvancedIncSubtensor1 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10.95 GpuAdvancedSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10.95 GpuAdvancedSubtensor1 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1159--1160 []\T1/pcr/m/n/10.95 GpuAllocDiag \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1160--1161 []\T1/pcr/m/n/10.95 GpuAllocEmpty \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1163--1164 []\T1/pcr/m/n/10.95 GpuArrayConstant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1164--1165 []\T1/pcr/m/n/10.95 GpuArraySharedVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1165--1166 []\T1/pcr/m/n/10.95 GpuArraySignature \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1167--1168 []\T1/pcr/m/n/10.95 GpuArrayVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1168--1169 []\T1/pcr/m/n/10.95 GpuCAReduce \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1169--1170 []\T1/pcr/m/n/10.95 GpuCAReduceCPY \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1170--1171 []\T1/pcr/m/n/10.95 GpuCAReduceCuda \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (19.7822pt too wide) in paragraph at lines 1172--1174 []\T1/pcr/m/n/10.95 GpuConnectionistTemporalClassification Underfull \hbox (badness 10000) in paragraph at lines 1174--1175 []\T1/pcr/m/n/10.95 GpuContextType \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1175--1176 []\T1/pcr/m/n/10.95 GpuContiguous \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1177--1178 []\T1/pcr/m/n/10.95 GpuCorr3dMM_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1178--1180 []\T1/pcr/m/n/10.95 GpuCorr3dMM_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 1181--1182 []\T1/pcr/m/n/10.95 GpuCorrMM_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1182--1183 []\T1/pcr/m/n/10.95 GpuCorrMM_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (6.64221pt too wide) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10.95 GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (32.92218pt too wide) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10.95 GpuCrossentropySoftmaxArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 []\T1/pcr/m/n/10.95 GpuCublasTriangularSolve \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1189--1190 []\T1/pcr/m/n/10.95 GpuCusolverSolve \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1190--1191 []\T1/pcr/m/n/10.95 GpuDimShuffle \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1191--1192 []\T1/pcr/m/n/10.95 GpuDnnBatchNorm \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1192--1193 []\T1/pcr/m/n/10.95 GpuDnnBatchNormGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1193--1194 []\T1/pcr/m/n/10.95 GpuDnnBatchNormInference \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in [821] Underfull \hbox (badness 10000) in paragraph at lines 1195--1196 []\T1/pcr/m/n/10.95 GpuDnnConvDesc \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1196--1197 []\T1/pcr/m/n/10.95 GpuDnnConvGradI \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1197--1198 []\T1/pcr/m/n/10.95 GpuDnnConvGradW \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1198--1199 []\T1/pcr/m/n/10.95 GpuDnnDropoutOp \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1200--1201 []\T1/pcr/m/n/10.95 GpuDnnPoolBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1201--1202 []\T1/pcr/m/n/10.95 GpuDnnPoolDesc \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1202--1203 []\T1/pcr/m/n/10.95 GpuDnnPoolGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1203--1204 []\T1/pcr/m/n/10.95 GpuDnnReduction \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1204--1205 []\T1/pcr/m/n/10.95 GpuDnnRNNGradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1205--1206 []\T1/pcr/m/n/10.95 GpuDnnRNNGradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1208--1209 []\T1/pcr/m/n/10.95 GpuDnnSoftmaxBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1209--1210 []\T1/pcr/m/n/10.95 GpuDnnSoftmaxGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1210--1211 []\T1/pcr/m/n/10.95 GpuDnnTransformerGradI \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1211--1212 []\T1/pcr/m/n/10.95 GpuDnnTransformerGradT \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1212--1213 []\T1/pcr/m/n/10.95 GpuDnnTransformerGrid \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1213--1214 []\T1/pcr/m/n/10.95 GpuDnnTransformerSampler \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1215--1216 []\T1/pcr/m/n/10.95 GpuElemwise \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1218--1219 []\T1/pcr/m/n/10.95 GpuExtractDiag \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1220--1221 []\T1/pcr/m/n/10.95 GpuFromHost \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1225--1226 []\T1/pcr/m/n/10.95 GpuImages2Neibs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1226--1227 []\T1/pcr/m/n/10.95 GpuIncSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1228--1229 []\T1/pcr/m/n/10.95 GpuKernelBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1230--1231 []\T1/pcr/m/n/10.95 GpuMagmaCholesky \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1232--1233 []\T1/pcr/m/n/10.95 GpuMagmaMatrixInverse \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1235--1236 []\T1/pcr/m/n/10.95 GpuReshape \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1237--1238 []\T1/pcr/m/n/10.95 GpuSoftmaxWithBias \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1239--1240 []\T1/pcr/m/n/10.95 GpuSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1241--1243 []\T1/pcr/m/n/10.95 grab_cpu_scalar() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1245--1246 []\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. extra_ops.FillDiagonal Overfull \hbox (4.80063pt too wide) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. extra_ops.FillDiagonalOffset Underfull \hbox (badness 10000) in paragraph at lines 1249--1250 []\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nlinalg.MatrixInverse [822] Underfull \hbox (badness 10000) in paragraph at lines 1251--1252 []\T1/pcr/m/n/10.95 grad_not_implemented() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1253--1254 []\T1/pcr/m/n/10.95 grad_undefined() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1271--1272 []\T1/pcr/m/n/10.95 guess_n_streams() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1276--1277 []\T1/pcr/m/n/10.95 hard_sigmoid() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1277--1278 []\T1/pcr/m/n/10.95 has_alias() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (3.13728pt too wide) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10.95 has_type() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1279--1280 []\T1/pcr/m/n/10.95 hash_from_file() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1280--1281 []\T1/pcr/m/n/10.95 hash_from_ndarray() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1283--1284 []\T1/pcr/m/n/10.95 HintsFeature \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1284--1285 []\T1/pcr/m/n/10.95 HintsOptimizer \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1286--1287 []\T1/pcr/m/n/10.95 HostFromGpu \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1293--1294 []\T1/pcr/m/n/10.95 ignore_bug_before \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con -fig.config.warn Underfull \hbox (badness 10000) in paragraph at lines 1295--1296 []\T1/pcr/m/n/10.95 imag \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10.95 images2neibs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Overfull \hbox (67.52292pt too wide) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10.95 inc_rstate() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.s andbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1310--1311 []\T1/pcr/m/n/10.95 including() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.mode.Mode Underfull \hbox (badness 10000) in paragraph at lines 1313--1315 []\T1/pcr/m/n/10.95 infer_context_name() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1318--1319 []\T1/pcr/m/n/10.95 init_r() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 1319--1321 []\T1/pcr/m/n/10.95 inline_reduce() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule [823] Underfull \hbox (badness 10000) in paragraph at lines 1323--1325 []\T1/pcr/m/n/10.95 inline_softmax() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1328--1330 []\T1/pcr/m/n/10.95 inplace_allocempty() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1333--1334 []\T1/pcr/m/n/10.95 InplaceElemwiseOptimizer \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Overfull \hbox (27.05162pt too wide) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10.95 inv_finder \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function_module.Function Underfull \hbox (badness 10000) in paragraph at lines 1341--1342 []\T1/pcr/m/n/10.95 InvalidValueError \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1343--1344 []\T1/pcr/m/n/10.95 io_connection_pattern() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1349--1350 []\T1/pcr/m/n/10.95 is_equal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1350--1351 []\T1/pcr/m/n/10.95 is_in_ancestors() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1351--1352 []\T1/pcr/m/n/10.95 is_inverse_pair() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1352--1353 []\T1/pcr/m/n/10.95 is_same_graph() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1354--1355 []\T1/pcr/m/n/10.95 is_valid_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thea no.gof.type.Generic Underfull \hbox (badness 8038) in paragraph at lines 1355--1356 []\T1/pcr/m/n/10.95 is_valid_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thea no.gof.type.PureType Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 []\T1/pcr/m/n/10.95 kernel_version() Overfull \hbox (5.14027pt too wide) in paragraph at lines 1368--1370 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuKernelBase Underfull \hbox (badness 10000) in paragraph at lines 1374--1375 []\T1/pcr/m/n/10.95 L_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. elemwise.Prod method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1375--1376 []\T1/pcr/m/n/10.95 L_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nlinalg.MatrixPinv Underfull \hbox (badness 10000) in paragraph at lines 1392--1393 []\T1/pcr/m/n/10.95 linker \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .mode.Mode at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1393--1394 []\T1/pcr/m/n/10.95 list_contexts() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1394--1395 []\T1/pcr/m/n/10.95 list_of_nodes() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1399--1400 []\T1/pcr/m/n/10.95 local_add_mul_fusion() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule [824] Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10.95 local_alloc_elemwise_assert \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 con- Underfull \hbox (badness 10000) in paragraph at lines 1402--1403 []\T1/pcr/m/n/10.95 local_elemwise_fusion() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1419--1420 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.Rebroadcast Underfull \hbox (badness 10000) in paragraph at lines 1420--1421 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.Shape Underfull \hbox (badness 10000) in paragraph at lines 1421--1422 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.Shape_i Underfull \hbox (badness 10000) in paragraph at lines 1423--1424 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.ViewOp Overfull \hbox (11.89706pt too wide) in paragraph at lines 1424--1426 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAlloc Overfull \hbox (39.87405pt too wide) in paragraph at lines 1426--1428 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAllocEmpty Overfull \hbox (39.28285pt too wide) in paragraph at lines 1428--1430 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuContiguous Overfull \hbox (5.19582pt too wide) in paragraph at lines 1430--1431 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuEye Overfull \hbox (32.70203pt too wide) in paragraph at lines 1431--1433 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuFromHost Overfull \hbox (7.36388pt too wide) in paragraph at lines 1433--1435 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuJoin Overfull \hbox (25.88022pt too wide) in paragraph at lines 1435--1437 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuReshape Overfull \hbox (8.86389pt too wide) in paragraph at lines 1437--1439 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuSplit Overfull \hbox (18.19356pt too wide) in paragraph at lines 1439--1441 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuToGpu Overfull \hbox (32.70203pt too wide) in paragraph at lines 1441--1443 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.HostFromGpu Overfull \hbox (13.72581pt too wide) in paragraph at lines 1443--1444 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorr3dMM Overfull \hbox (67.09575pt too wide) in paragraph at lines 1444--1446 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorr3dMM_gradInputs Overfull \hbox (73.99416pt too wide) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorr3dMM_gradWeights Overfull \hbox (2.77583pt too wide) in paragraph at lines 1448--1449 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorrMM Overfull \hbox (56.14577pt too wide) in paragraph at lines 1449--1451 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorrMM_gradInputs Overfull \hbox (63.04417pt too wide) in paragraph at lines 1451--1453 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorrMM_gradWeights Underfull \hbox (badness 10000) in paragraph at lines 1453--1454 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuDot22 Underfull \hbox (badness 10000) in paragraph at lines 1454--1455 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemm Overfull \hbox (17.19707pt too wide) in paragraph at lines 1455--1456 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemmBatch Underfull \hbox (badness 10000) in paragraph at lines 1456--1457 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemv Underfull \hbox (badness 10000) in paragraph at lines 1457--1458 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGer Overfull \hbox (30.58902pt too wide) in paragraph at lines 1459--1461 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnBatchNorm Overfull \hbox (53.54013pt too wide) in paragraph at lines 1461--1463 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnBatchNormGrad Overfull \hbox (71.53047pt too wide) in paragraph at lines 1463--1465 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnBatchNormInference Overfull \hbox (2.94058pt too wide) in paragraph at lines 1465--1466 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConv Overfull \hbox (24.82932pt too wide) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvDesc Overfull \hbox (29.538pt too wide) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvGradI Overfull \hbox (35.013pt too wide) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvGradW Overfull \hbox (30.26059pt too wide) in paragraph at lines 1472--1474 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnDropoutOp Overfull \hbox (21.96042pt too wide) in paragraph at lines 1475--1477 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnPoolDesc [825] Overfull \hbox (23.0228pt too wide) in paragraph at lines 1477--1479 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnPoolGrad Overfull \hbox (24.66504pt too wide) in paragraph at lines 1479--1481 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnReduction Overfull \hbox (51.88657pt too wide) in paragraph at lines 1481--1483 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnRNNGradInputs Overfull \hbox (58.78497pt too wide) in paragraph at lines 1483--1485 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnRNNGradWeights Overfull \hbox (14.9416pt too wide) in paragraph at lines 1485--1486 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnRNNOp Overfull \hbox (15.54375pt too wide) in paragraph at lines 1486--1487 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnSoftmax Overfull \hbox (38.49486pt too wide) in paragraph at lines 1487--1489 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnSoftmaxGrad Overfull \hbox (61.45668pt too wide) in paragraph at lines 1489--1491 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerGradI Overfull \hbox (63.8985pt too wide) in paragraph at lines 1491--1493 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerGradT Overfull \hbox (55.54353pt too wide) in paragraph at lines 1493--1495 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerGrid Overfull \hbox (71.35524pt too wide) in paragraph at lines 1495--1497 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerSampler Overfull \hbox (51.26193pt too wide) in paragraph at lines 1497--1499 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuCAReduceCPY Overfull \hbox (54.90836pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuCAReduceCuda Overfull \hbox (33.42462pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuDimShuffle Overfull \hbox (26.93095pt too wide) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuElemwise Overfull \hbox (10.40785pt too wide) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuCholesky Overfull \hbox (72.59232pt too wide) in paragraph at lines 1507--1509 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuCublasTriangularSolve Overfull \hbox (33.63246pt too wide) in paragraph at lines 1509--1511 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuCusolverSolve Overfull \hbox (43.7505pt too wide) in paragraph at lines 1511--1513 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaCholesky Overfull \hbox (24.40225pt too wide) in paragraph at lines 1513--1515 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaEigh Overfull \hbox (65.20123pt too wide) in paragraph at lines 1515--1517 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaMatrixInverse Overfull \hbox (18.31413pt too wide) in paragraph at lines 1517--1518 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaQR Overfull \hbox (23.78912pt too wide) in paragraph at lines 1518--1520 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaSVD Overfull \hbox (55.97046pt too wide) in paragraph at lines 1520--1522 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.neighbours.GpuImages2Neibs Overfull \hbox (131.36026pt too wide) in paragraph at lines 1522--1524 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (152.85495pt too wide) in paragraph at lines 1524--1526 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Overfull \hbox (38.66959pt too wide) in paragraph at lines 1527--1529 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuSoftmaxWithBias Overfull \hbox (123.80515pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedBooleanIncSubtensor Overfull \hbox (109.82213pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedBooleanSubtensor Overfull \hbox (87.30904pt too wide) in paragraph at lines 1533--1535 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor Overfull \hbox (92.78403pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (124.24329pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (73.32602pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedSubtensor Overfull \hbox (78.80101pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedSubtensor1 Overfull \hbox (31.2564pt too wide) in paragraph at lines 1543--1545 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAllocDiag Overfull \hbox (40.2134pt too wide) in paragraph at lines 1545--1547 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuExtractDiag Overfull \hbox (44.13347pt too wide) in paragraph at lines 1547--1549 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Overfull \hbox (30.15045pt too wide) in paragraph at lines 1549--1551 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuSubtensor Underfull \hbox (badness 6961) in paragraph at lines 1551--1552 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.mi sc.doubleop.DoubleOp Underfull \hbox (badness 10000) in paragraph at lines 1552--1553 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sa ndbox.linalg.ops.Hint Overfull \hbox (10.87894pt too wide) in paragraph at lines 1553--1554 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sa ndbox.rng_mrg.DotModulo Overfull \hbox (17.77719pt too wide) in paragraph at lines 1554--1556 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sa ndbox.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 1556--1557 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.AddSD Underfull \hbox (badness 10000) in paragraph at lines 1557--1558 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.AddSS Underfull \hbox (badness 10000) in paragraph at lines 1558--1559 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.AddSSData [826] Overfull \hbox (50.13338pt too wide) in paragraph at lines 1561--1563 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.ConstructSparseFromList Underfull \hbox (badness 10000) in paragraph at lines 1563--1564 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.CSM Underfull \hbox (badness 10000) in paragraph at lines 1564--1565 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.CSMGrad Overfull \hbox (5.20613pt too wide) in paragraph at lines 1565--1566 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.CSMProperties Overfull \hbox (17.86447pt too wide) in paragraph at lines 1566--1568 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.DenseFromSparse Underfull \hbox (badness 10000) in paragraph at lines 1568--1569 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Diag Overfull \hbox (28.39796pt too wide) in paragraph at lines 1570--1572 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.EnsureSortedIndices Underfull \hbox (badness 10000) in paragraph at lines 1572--1573 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItem2d Overfull \hbox (21.95935pt too wide) in paragraph at lines 1574--1576 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItem2ListsGrad Underfull \hbox (badness 10000) in paragraph at lines 1576--1577 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItemList Overfull \hbox (12.22493pt too wide) in paragraph at lines 1577--1579 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItemListGrad Overfull \hbox (1.4284pt too wide) in paragraph at lines 1579--1580 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItemScalar Underfull \hbox (badness 10000) in paragraph at lines 1580--1581 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.HStack Underfull \hbox (badness 10000) in paragraph at lines 1581--1582 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.MulSD Underfull \hbox (badness 10000) in paragraph at lines 1582--1583 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.MulSS Underfull \hbox (badness 10000) in paragraph at lines 1583--1584 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.MulSV Underfull \hbox (badness 10000) in paragraph at lines 1585--1586 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Remove0 Overfull \hbox (0.83736pt too wide) in paragraph at lines 1586--1587 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.RowScaleCSC Overfull \hbox (17.86447pt too wide) in paragraph at lines 1588--1590 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.SparseFromDense Underfull \hbox (badness 10000) in paragraph at lines 1590--1591 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.SpSum Overfull \hbox (9.44412pt too wide) in paragraph at lines 1591--1593 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.SquareDiagonal Overfull \hbox (13.19978pt too wide) in paragraph at lines 1593--1595 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.StructuredAddSV Overfull \hbox (42.852pt too wide) in paragraph at lines 1596--1598 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.StructuredDotGradCSC Overfull \hbox (42.23888pt too wide) in paragraph at lines 1598--1600 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 1600--1601 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Transpose Underfull \hbox (badness 10000) in paragraph at lines 1601--1602 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.TrueDot Underfull \hbox (badness 10000) in paragraph at lines 1602--1603 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Usmm Overfull \hbox (9.04996pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.sandbox.sp2.Binomial Overfull \hbox (23.04381pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.sandbox.sp2.Multinomial Overfull \hbox (2.69905pt too wide) in paragraph at lines 1607--1608 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.sandbox.sp2.Poisson Underfull \hbox (badness 10000) in paragraph at lines 1608--1609 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.All Underfull \hbox (badness 10000) in paragraph at lines 1609--1610 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.Any Overfull \hbox (24.64217pt too wide) in paragraph at lines 1611--1613 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.CAReduceDtype Overfull \hbox (0.73868pt too wide) in paragraph at lines 1613--1614 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.DimShuffle Underfull \hbox (badness 10000) in paragraph at lines 1615--1616 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.Bartlett Overfull \hbox (23.85408pt too wide) in paragraph at lines 1616--1618 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 1618--1619 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.CumOp Underfull \hbox (badness 10000) in paragraph at lines 1619--1620 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.DiffOp Overfull \hbox (11.68863pt too wide) in paragraph at lines 1620--1622 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.FillDiagonal Overfull \hbox (37.65059pt too wide) in paragraph at lines 1622--1624 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.FillDiagonalOffset Overfull \hbox (27.86154pt too wide) in paragraph at lines 1624--1626 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.RavelMultiIndex [827] Overfull \hbox (25.69357pt too wide) in paragraph at lines 1627--1629 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 1629--1630 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.Unique Overfull \hbox (14.91896pt too wide) in paragraph at lines 1630--1632 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.UnravelIndex Underfull \hbox (badness 10000) in paragraph at lines 1632--1633 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.LoadFromDisk Underfull \hbox (badness 10000) in paragraph at lines 1633--1634 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPIRecv Underfull \hbox (badness 10000) in paragraph at lines 1634--1635 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPIRecvWait Underfull \hbox (badness 10000) in paragraph at lines 1635--1636 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPISend Underfull \hbox (badness 10000) in paragraph at lines 1636--1637 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPISendWait Underfull \hbox (badness 10000) in paragraph at lines 1637--1638 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.AllocDiag Underfull \hbox (badness 10000) in paragraph at lines 1640--1641 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.Eigh Underfull \hbox (badness 10000) in paragraph at lines 1641--1642 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.EighGrad Underfull \hbox (badness 10000) in paragraph at lines 1642--1643 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.lstsq Overfull \hbox (4.64763pt too wide) in paragraph at lines 1643--1645 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.MatrixInverse Underfull \hbox (badness 6893) in paragraph at lines 1645--1646 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.MatrixPinv Underfull \hbox (badness 10000) in paragraph at lines 1646--1647 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.QRFull Overfull \hbox (6.41081pt too wide) in paragraph at lines 1647--1649 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.QRIncomplete Underfull \hbox (badness 10000) in paragraph at lines 1649--1650 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.SVD Underfull \hbox (badness 10000) in paragraph at lines 1650--1651 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.TensorInv Overfull \hbox (54.14145pt too wide) in paragraph at lines 1652--1654 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.abstract_conv.AbstractConv Overfull \hbox (107.51138pt too wide) in paragraph at lines 1654--1656 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.abstract_conv.AbstractConv_gradInputs Overfull \hbox (114.40979pt too wide) in paragraph at lines 1656--1658 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.abstract_conv.AbstractConv_gradWeights Overfull \hbox (65.64963pt too wide) in paragraph at lines 1658--1660 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.blocksparse.SparseBlockGemv Overfull \hbox (65.66046pt too wide) in paragraph at lines 1660--1662 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.blocksparse.SparseBlockOuter Underfull \hbox (badness 10000) in paragraph at lines 1663--1664 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.MakeVector Underfull \hbox (badness 10000) in paragraph at lines 1664--1665 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Cholesky Overfull \hbox (4.93245pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.CholeskyGrad Underfull \hbox (badness 10000) in paragraph at lines 1667--1668 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Eigvalsh Overfull \hbox (3.22433pt too wide) in paragraph at lines 1668--1670 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.EigvalshGrad Underfull \hbox (badness 10000) in paragraph at lines 1670--1671 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Expm Underfull \hbox (badness 10000) in paragraph at lines 1671--1672 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.ExpmGrad Underfull \hbox (badness 10000) in paragraph at lines 1672--1673 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Solve Overfull \hbox (18.5431pt too wide) in paragraph at lines 1673--1675 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te sts.breakpoint.PdbBreakpoint Underfull \hbox (badness 10000) in paragraph at lines 1675--1676 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Append Underfull \hbox (badness 10000) in paragraph at lines 1676--1677 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Count Underfull \hbox (badness 10000) in paragraph at lines 1677--1678 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Extend Underfull \hbox (badness 10000) in paragraph at lines 1678--1679 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.GetItem Underfull \hbox (badness 10000) in paragraph at lines 1679--1680 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Index Underfull \hbox (badness 10000) in paragraph at lines 1680--1681 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Insert Underfull \hbox (badness 10000) in paragraph at lines 1681--1682 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Length Underfull \hbox (badness 7273) in paragraph at lines 1682--1683 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.MakeList Underfull \hbox (badness 10000) in paragraph at lines 1683--1684 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Remove Underfull \hbox (badness 10000) in paragraph at lines 1684--1685 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Reverse [828] Underfull \hbox (badness 10000) in paragraph at lines 1686--1687 []\T1/pcr/m/n/10.95 make_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 1688--1689 []\T1/pcr/m/n/10.95 make_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thean o.gof.type.PureType Underfull \hbox (badness 10000) in paragraph at lines 1689--1691 []\T1/pcr/m/n/10.95 make_view_array() Overfull \hbox (9.78305pt too wide) in paragraph at lines 1689--1691 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 1696--1697 []\T1/pcr/m/n/10.95 matrix_power() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1700--1701 []\T1/pcr/m/n/10.95 max() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1702--1703 []\T1/pcr/m/n/10.95 max_err() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.grad ient.numeric_grad Underfull \hbox (badness 10000) in paragraph at lines 1705--1706 []\T1/pcr/m/n/10.95 max_pool() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1706--1708 []\T1/pcr/m/n/10.95 max_pool_2d_same_size() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1711--1712 []\T1/pcr/m/n/10.95 mean() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10.95 merge_num_denum() Underfull \hbox (badness 10000) in paragraph at lines 1714--1716 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.Canonizer method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1716--1717 []\T1/pcr/m/n/10.95 merge_two_slices() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\T1/pcr/m/n/10.95 min() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 7963) in paragraph at lines 1721--1722 []\T1/pcr/m/n/10.95 min_memory_size \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-f ig.config.profiling at- Underfull \hbox (badness 7963) in paragraph at lines 1722--1723 []\T1/pcr/m/n/10.95 min_peak_memory \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-f ig.config.profiling at- Underfull \hbox (badness 10000) in paragraph at lines 1727--1728 []\T1/pcr/m/n/10.95 move_to_gpu() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1728--1729 []\T1/pcr/m/n/10.95 mpi_send_wait_key() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1734--1735 []\T1/pcr/m/n/10.95 MRG_RandomStreams \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10.95 mrg_uniform_base \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1744--1745 []\T1/pcr/m/n/10.95 Multinomial \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1745--1746 []\T1/pcr/m/n/10.95 multinomial() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Overfull \hbox (74.09291pt too wide) in paragraph at lines 1746--1748 []\T1/pcr/m/n/10.95 multinomial() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. sandbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1748--1749 []\T1/pcr/m/n/10.95 multMatVect() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1749--1750 []\T1/pcr/m/n/10.95 MulWithoutZeros \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 6691) in paragraph at lines 1750--1751 []\T1/pcr/m/n/10.95 mutable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compil e.function.In at-tribute\T1/ptm/m/n/10.95 ), [829] Underfull \hbox (badness 10000) in paragraph at lines 1757--1758 []\T1/pcr/m/n/10.95 name \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray. type.GpuArrayType at- Underfull \hbox (badness 10000) in paragraph at lines 1759--1760 []\T1/pcr/m/n/10.95 NanGuardMode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1760--1761 []\T1/pcr/m/n/10.95 ndim \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray. type.GpuArrayType at- Underfull \hbox (badness 10000) in paragraph at lines 1761--1763 []\T1/pcr/m/n/10.95 ndim \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 []\T1/pcr/m/n/10.95 neibs2images() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Overfull \hbox (27.17169pt too wide) in paragraph at lines 1777--1779 []\T1/pcr/m/n/10.95 node_colors \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.d3 viz.formatting.PyDotFormatter Underfull \hbox (badness 10000) in paragraph at lines 1780--1781 []\T1/pcr/m/n/10.95 nodes_constructed() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 6125) in paragraph at lines 1781--1783 []\T1/pcr/m/n/10.95 nonzero() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1783--1785 []\T1/pcr/m/n/10.95 nonzero_values() Underfull \hbox (badness 10000) in paragraph at lines 1783--1785 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1785--1786 []\T1/pcr/m/n/10.95 norm() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Overfull \hbox (41.24295pt too wide) in paragraph at lines 1787--1789 []\T1/pcr/m/n/10.95 normal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandb ox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1795--1797 []\T1/pcr/m/n/10.95 nvcc_kernel() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1801--1802 []\T1/pcr/m/n/10.95 on_attach() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 []\T1/pcr/m/n/10.95 on_change_input() Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.toolbox.Feature method\T1/ptm/ m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1803--1804 []\T1/pcr/m/n/10.95 on_detach() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1804--1805 []\T1/pcr/m/n/10.95 on_import() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1806--1807 []\T1/pcr/m/n/10.95 on_prune() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1824--1825 []\T1/pcr/m/n/10.95 optimizer \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.mode.Mode at- Underfull \hbox (badness 10000) in paragraph at lines 1825--1826 []\T1/pcr/m/n/10.95 optimizer_excluding \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c on-fig.config at- [830] Underfull \hbox (badness 10000) in paragraph at lines 1832--1833 []\T1/pcr/m/n/10.95 orderings() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.FunctionGraph Underfull \hbox (badness 10000) in paragraph at lines 1833--1834 []\T1/pcr/m/n/10.95 orderings() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1838--1839 []\T1/pcr/m/n/10.95 output_merge() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1843--1844 []\T1/pcr/m/n/10.95 pad_dims() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1847--1848 []\T1/pcr/m/n/10.95 patternbroadcast() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1849--1850 []\T1/pcr/m/n/10.95 PdbBreakpoint \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1851--1852 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.ops.DeepCopyOp Underfull \hbox (badness 10000) in paragraph at lines 1853--1854 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.ops.Rebroadcast Underfull \hbox (badness 10000) in paragraph at lines 1856--1857 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.ops.SpecifyShape Overfull \hbox (26.73407pt too wide) in paragraph at lines 1859--1861 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuAllocEmpty Overfull \hbox (19.56204pt too wide) in paragraph at lines 1861--1863 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuFromHost Overfull \hbox (12.74023pt too wide) in paragraph at lines 1864--1866 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuReshape Overfull \hbox (5.05357pt too wide) in paragraph at lines 1866--1867 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuToGpu Overfull \hbox (19.56204pt too wide) in paragraph at lines 1867--1869 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.HostFromGpu Underfull \hbox (badness 10000) in paragraph at lines 1869--1870 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuDot22 Underfull \hbox (badness 10000) in paragraph at lines 1870--1871 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuGemm Underfull \hbox (badness 10000) in paragraph at lines 1871--1872 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuGemv Underfull \hbox (badness 10000) in paragraph at lines 1872--1873 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuGer Overfull \hbox (38.12195pt too wide) in paragraph at lines 1873--1875 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuCAReduceCPY Overfull \hbox (41.76837pt too wide) in paragraph at lines 1875--1877 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuCAReduceCuda Overfull \hbox (20.28464pt too wide) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuDimShuffle Overfull \hbox (13.79097pt too wide) in paragraph at lines 1879--1880 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuElemwise Overfull \hbox (59.45233pt too wide) in paragraph at lines 1881--1883 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.linalg.GpuCublasTriangularSolve Overfull \hbox (20.49248pt too wide) in paragraph at lines 1883--1885 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.linalg.GpuCusolverSolve Overfull \hbox (42.83047pt too wide) in paragraph at lines 1885--1887 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.neighbours.GpuImages2Neibs Overfull \hbox (79.64404pt too wide) in paragraph at lines 1887--1889 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (111.1033pt too wide) in paragraph at lines 1889--1891 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (65.66103pt too wide) in paragraph at lines 1891--1893 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAdvancedSubtensor1 Overfull \hbox (18.11641pt too wide) in paragraph at lines 1893--1895 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAllocDiag Overfull \hbox (27.07341pt too wide) in paragraph at lines 1895--1897 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuExtractDiag Overfull \hbox (30.99348pt too wide) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuIncSubtensor Overfull \hbox (17.01047pt too wide) in paragraph at lines 1899--1901 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 1901--1902 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.misc .doubleop.DoubleOp Underfull \hbox (badness 10000) in paragraph at lines 1902--1903 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sand box.linalg.ops.Hint [831] Overfull \hbox (4.6372pt too wide) in paragraph at lines 1904--1905 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sand box.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 1907--1908 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.AddSSData Underfull \hbox (badness 6445) in paragraph at lines 1908--1909 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Cast method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1909--1910 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.ColScaleCSC Overfull \hbox (36.9934pt too wide) in paragraph at lines 1910--1912 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.ConstructSparseFromList Underfull \hbox (badness 10000) in paragraph at lines 1913--1914 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.CSMGrad Underfull \hbox (badness 10000) in paragraph at lines 1914--1915 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.CSMProperties Overfull \hbox (4.72449pt too wide) in paragraph at lines 1915--1916 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.DenseFromSparse Underfull \hbox (badness 10000) in paragraph at lines 1917--1918 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Dot method\T1/ptm/m/n/10.95 ), Overfull \hbox (15.25798pt too wide) in paragraph at lines 1918--1920 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.EnsureSortedIndices Underfull \hbox (badness 10000) in paragraph at lines 1920--1921 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItem2d Underfull \hbox (badness 10000) in paragraph at lines 1921--1922 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItem2Lists Overfull \hbox (8.81937pt too wide) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItem2ListsGrad Underfull \hbox (badness 10000) in paragraph at lines 1924--1925 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItemList Underfull \hbox (badness 10000) in paragraph at lines 1926--1927 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItemScalar Underfull \hbox (badness 10000) in paragraph at lines 1931--1932 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Neg method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1932--1933 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Remove0 Underfull \hbox (badness 10000) in paragraph at lines 1933--1934 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.RowScaleCSC Underfull \hbox (badness 10000) in paragraph at lines 1934--1935 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.SamplingDot Overfull \hbox (4.72449pt too wide) in paragraph at lines 1935--1936 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.SparseFromDense Underfull \hbox (badness 10000) in paragraph at lines 1939--1940 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.StructuredDot Overfull \hbox (29.71202pt too wide) in paragraph at lines 1940--1942 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.StructuredDotGradCSC Overfull \hbox (29.09889pt too wide) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 1944--1945 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Transpose Underfull \hbox (badness 10000) in paragraph at lines 1945--1946 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.TrueDot Overfull \hbox (35.61421pt too wide) in paragraph at lines 1948--1950 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.sandbox.sp.ConvolutionIndices Overfull \hbox (9.90382pt too wide) in paragraph at lines 1951--1953 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.sandbox.sp2.Multinomial Underfull \hbox (badness 10000) in paragraph at lines 1953--1954 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.sandbox.sp2.Poisson Underfull \hbox (badness 10000) in paragraph at lines 1954--1955 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.elemwise.CAReduce Underfull \hbox (badness 10000) in paragraph at lines 1955--1956 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.elemwise.DimShuffle Underfull \hbox (badness 10000) in paragraph at lines 1956--1957 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 1957--1958 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.Bartlett [832] Overfull \hbox (10.7141pt too wide) in paragraph at lines 1958--1960 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 1960--1961 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.CumOp Underfull \hbox (badness 10000) in paragraph at lines 1961--1962 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.DiffOp Overfull \hbox (24.5106pt too wide) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.FillDiagonalOffset Overfull \hbox (14.72156pt too wide) in paragraph at lines 1966--1968 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.RavelMultiIndex Underfull \hbox (badness 10000) in paragraph at lines 1968--1969 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.RepeatOp Overfull \hbox (12.55359pt too wide) in paragraph at lines 1969--1971 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 1971--1972 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.Unique Overfull \hbox (1.77898pt too wide) in paragraph at lines 1972--1974 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.UnravelIndex Underfull \hbox (badness 10000) in paragraph at lines 1974--1975 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.io.LoadFromDisk Underfull \hbox (badness 10000) in paragraph at lines 1976--1977 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.io.MPIRecvWait Underfull \hbox (badness 10000) in paragraph at lines 1978--1979 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.io.MPISendWait Underfull \hbox (badness 10000) in paragraph at lines 1979--1980 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.AllocDiag Underfull \hbox (badness 5446) in paragraph at lines 1981--1982 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.Eig method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1983--1984 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.EighGrad Underfull \hbox (badness 10000) in paragraph at lines 1985--1986 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.MatrixInverse Underfull \hbox (badness 10000) in paragraph at lines 1986--1987 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.MatrixPinv Underfull \hbox (badness 10000) in paragraph at lines 1987--1988 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.QRFull Underfull \hbox (badness 5036) in paragraph at lines 1988--1989 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.QRIncomplete Underfull \hbox (badness 10000) in paragraph at lines 1990--1991 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.TensorInv Underfull \hbox (badness 10000) in paragraph at lines 1991--1992 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.TensorSolve Overfull \hbox (41.00146pt too wide) in paragraph at lines 1992--1994 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.abstract_conv.AbstractConv Overfull \hbox (94.3714pt too wide) in paragraph at lines 1994--1996 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.abstract_conv.AbstractConv_gradInputs Overfull \hbox (101.2698pt too wide) in paragraph at lines 1996--1998 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.abstract_conv.AbstractConv_gradWeights Overfull \hbox (52.50964pt too wide) in paragraph at lines 1998--2000 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.blocksparse.SparseBlockGemv Overfull \hbox (52.52048pt too wide) in paragraph at lines 2000--2002 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.blocksparse.SparseBlockOuter Underfull \hbox (badness 10000) in paragraph at lines 2002--2003 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.opt.Assert method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2003--2004 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.opt.MakeVector Underfull \hbox (badness 10000) in paragraph at lines 2004--2005 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.Cholesky Underfull \hbox (badness 10000) in paragraph at lines 2005--2006 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.CholeskyGrad Underfull \hbox (badness 10000) in paragraph at lines 2006--2007 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.Eigvalsh Underfull \hbox (badness 10000) in paragraph at lines 2007--2008 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.EigvalshGrad Underfull \hbox (badness 10000) in paragraph at lines 2009--2010 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.ExpmGrad Overfull \hbox (5.40312pt too wide) in paragraph at lines 2011--2013 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.test s.breakpoint.PdbBreakpoint Underfull \hbox (badness 10000) in paragraph at lines 2013--2014 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Append Underfull \hbox (badness 10000) in paragraph at lines 2014--2015 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Count Underfull \hbox (badness 10000) in paragraph at lines 2015--2016 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Extend Underfull \hbox (badness 10000) in paragraph at lines 2016--2017 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.GetItem Underfull \hbox (badness 10000) in paragraph at lines 2017--2018 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Index [833] Underfull \hbox (badness 10000) in paragraph at lines 2018--2019 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Insert Underfull \hbox (badness 10000) in paragraph at lines 2019--2020 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Length Underfull \hbox (badness 10000) in paragraph at lines 2020--2021 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.MakeList Underfull \hbox (badness 10000) in paragraph at lines 2021--2022 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Remove Underfull \hbox (badness 10000) in paragraph at lines 2022--2023 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Reverse Underfull \hbox (badness 10000) in paragraph at lines 2023--2024 []\T1/pcr/m/n/10.95 permutation() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2031--2032 []\T1/pcr/m/n/10.95 preload_cache \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnDropoutOp Underfull \hbox (badness 10000) in paragraph at lines 2034--2036 []\T1/pcr/m/n/10.95 prepare_node() Overfull \hbox (16.91151pt too wide) in paragraph at lines 2034--2036 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY Underfull \hbox (badness 10000) in paragraph at lines 2036--2038 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2036--2038 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCholesky Underfull \hbox (badness 10000) in paragraph at lines 2038--2040 []\T1/pcr/m/n/10.95 prepare_node() Overfull \hbox (38.2419pt too wide) in paragraph at lines 2038--2040 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCublasTriangula rSolve Underfull \hbox (badness 10000) in paragraph at lines 2040--2042 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2040--2042 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCusolverSolve Underfull \hbox (badness 10000) in paragraph at lines 2042--2044 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2042--2044 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaSVD Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 2054--2055 []\T1/pcr/m/n/10.95 prod() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2055--2056 []\T1/pcr/m/n/10.95 ProdWithoutZeros \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2062--2063 []\T1/pcr/m/n/10.95 ptp() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2068--2069 []\T1/pcr/m/n/10.95 PyDotFormatter \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 []\T1/pcr/m/n/10.95 python_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 2073--2075 []\T1/pcr/m/n/10.95 python_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 2073--2075 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise [834] Underfull \hbox (badness 10000) in paragraph at lines 2088--2089 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .ops.SpecifyShape Underfull \hbox (badness 10000) in paragraph at lines 2090--2091 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarra y.basic_ops.GpuToGpu Underfull \hbox (badness 10000) in paragraph at lines 2092--2093 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gradien t.DisconnectedGrad Underfull \hbox (badness 10000) in paragraph at lines 2095--2096 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.misc.do ubleop.DoubleOp Overfull \hbox (10.47336pt too wide) in paragraph at lines 2096--2098 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox .rng_mrg.mrg_uniform_base Overfull \hbox (17.28342pt too wide) in paragraph at lines 2098--2100 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse. basic.ConstructSparseFromList Underfull \hbox (badness 10000) in paragraph at lines 2100--2101 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. elemwise.DimShuffle Underfull \hbox (badness 10000) in paragraph at lines 2101--2102 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 2103--2104 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nlinalg.MatrixInverse Overfull \hbox (21.29149pt too wide) in paragraph at lines 2104--2106 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nnet.abstract_conv.AbstractConv Underfull \hbox (badness 10000) in paragraph at lines 2107--2109 []\T1/pcr/m/n/10.95 random_integers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2109--2111 []\T1/pcr/m/n/10.95 random_state_type() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2111--2112 []\T1/pcr/m/n/10.95 RandomFunction \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2112--2113 []\T1/pcr/m/n/10.95 RandomStateType \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2113--2115 []\T1/pcr/m/n/10.95 RandomStreams \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 2113--2115 \T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2115--2116 []\T1/pcr/m/n/10.95 RandomStreamsBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 2116--2118 []\T1/pcr/m/n/10.95 RandomVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2116--2118 \T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2118--2119 []\T1/pcr/m/n/10.95 ravel() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor ._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2119--2121 []\T1/pcr/m/n/10.95 ravel_multi_index() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2121--2122 []\T1/pcr/m/n/10.95 RavelMultiIndex \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2122--2123 []\T1/pcr/m/n/10.95 real \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 2127--2128 []\T1/pcr/m/n/10.95 reg_context() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2128--2130 []\T1/pcr/m/n/10.95 register_deep_copy_op_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 2132--2134 []\T1/pcr/m/n/10.95 register_shape_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2134--2136 []\T1/pcr/m/n/10.95 register_shape_i_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2136--2138 []\T1/pcr/m/n/10.95 register_specify_shape_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/ m/it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 2138--2140 []\T1/pcr/m/n/10.95 register_view_op_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2147--2148 []\T1/pcr/m/n/10.95 remove_gxx_opt \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fi g.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2150--2152 []\T1/pcr/m/n/10.95 repeat() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators [835] Underfull \hbox (badness 10000) in paragraph at lines 2154--2155 []\T1/pcr/m/n/10.95 replace_all() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.FunctionGraph Underfull \hbox (badness 10000) in paragraph at lines 2155--2156 []\T1/pcr/m/n/10.95 replace_patterns() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2156--2158 []\T1/pcr/m/n/10.95 replace_validate() Underfull \hbox (badness 10000) in paragraph at lines 2156--2158 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.toolbox.ReplaceValidate Underfull \hbox (badness 10000) in paragraph at lines 2160--2161 []\T1/pcr/m/n/10.95 requiring() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.mode.Mode Underfull \hbox (badness 6125) in paragraph at lines 2162--2164 []\T1/pcr/m/n/10.95 reshape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Overfull \hbox (35.77805pt too wide) in paragraph at lines 2169--2171 []\T1/pcr/m/n/10.95 rng \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.sha red_randomstreams.RandomVariable Underfull \hbox (badness 10000) in paragraph at lines 2176--2178 []\T1/pcr/m/n/10.95 round() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor ._tensor_py_operators Underfull \hbox (badness 5578) in paragraph at lines 2186--2187 []\T1/pcr/m/n/10.95 same_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2194--2195 []\T1/pcr/m/n/10.95 scalarconsts_rest() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2198--2199 []\T1/pcr/m/n/10.95 searchsorted() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2199--2200 []\T1/pcr/m/n/10.95 SearchsortedOp \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (28.10297pt too wide) in paragraph at lines 2200--2202 []\T1/pcr/m/n/10.95 seed() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox .rng_mrg.MRG_RandomStreams Overfull \hbox (53.2542pt too wide) in paragraph at lines 2202--2204 []\T1/pcr/m/n/10.95 seed() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. shared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2206--2208 []\T1/pcr/m/n/10.95 separable_conv2d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2208--2210 []\T1/pcr/m/n/10.95 separable_conv3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2210--2211 []\T1/pcr/m/n/10.95 set_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.ShapeFeature Overfull \hbox (41.3192pt too wide) in paragraph at lines 2213--2215 []\T1/pcr/m/n/10.95 set_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.sharedvalue.SharedVariable Overfull \hbox (56.16759pt too wide) in paragraph at lines 2215--2217 []\T1/pcr/m/n/10.95 set_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArraySharedVariable Underfull \hbox (badness 10000) in paragraph at lines 2219--2220 []\T1/pcr/m/n/10.95 seterr_invalid \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fi g.config.numpy at- Underfull \hbox (badness 10000) in paragraph at lines 2220--2221 []\T1/pcr/m/n/10.95 seterr_over \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig.c onfig.numpy at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2228--2229 []\T1/pcr/m/n/10.95 shape_ir() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ten sor.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2229--2230 []\T1/pcr/m/n/10.95 shape_of_variables() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule [836] Underfull \hbox (badness 10000) in paragraph at lines 2240--2241 []\T1/pcr/m/n/10.95 shared() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2241--2243 []\T1/pcr/m/n/10.95 shared_constructor() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2243--2244 []\T1/pcr/m/n/10.95 SharedVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2244--2246 []\T1/pcr/m/n/10.95 SharedVariable Underfull \hbox (badness 10000) in paragraph at lines 2244--2246 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2250--2251 []\T1/pcr/m/n/10.95 simple_extract_stack() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2251--2252 []\T1/pcr/m/n/10.95 simplify() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ten sor.opt.Canonizer Underfull \hbox (badness 10000) in paragraph at lines 2252--2254 []\T1/pcr/m/n/10.95 simplify_constants() Underfull \hbox (badness 10000) in paragraph at lines 2252--2254 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.Canonizer method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2254--2256 []\T1/pcr/m/n/10.95 simplify_factors() Underfull \hbox (badness 10000) in paragraph at lines 2254--2256 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.Canonizer method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2256--2257 []\T1/pcr/m/n/10.95 single_stream \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.gpuarray at- Underfull \hbox (badness 10000) in paragraph at lines 2263--2265 []\T1/pcr/m/n/10.95 solve_lower_triangular() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2265--2266 []\T1/pcr/m/n/10.95 solve_symmetric \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 2266--2268 []\T1/pcr/m/n/10.95 solve_upper_triangular() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2268--2270 []\T1/pcr/m/n/10.95 sort() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2270--2271 []\T1/pcr/m/n/10.95 sp_ones_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2272--2273 []\T1/pcr/m/n/10.95 sp_zeros_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 2275--2277 []\T1/pcr/m/n/10.95 sparse_block_dot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2278--2279 []\T1/pcr/m/n/10.95 sparse_formats \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2280--2282 []\T1/pcr/m/n/10.95 sparse_random_inputs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2282--2284 []\T1/pcr/m/n/10.95 SparseBlockGemv \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2284--2286 []\T1/pcr/m/n/10.95 SparseBlockOuter \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2287--2288 []\T1/pcr/m/n/10.95 SparseConstantSignature \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 2288--2289 []\T1/pcr/m/n/10.95 SparseFromDense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2292--2294 []\T1/pcr/m/n/10.95 spectral_radius_bound() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2294--2295 []\T1/pcr/m/n/10.95 split_params() [837] Underfull \hbox (badness 10000) in paragraph at lines 2298--2299 []\T1/pcr/m/n/10.95 square_diagonal \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 6125) in paragraph at lines 2301--2303 []\T1/pcr/m/n/10.95 squeeze() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2307--2308 []\T1/pcr/m/n/10.95 std() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2308--2309 []\T1/pcr/m/n/10.95 StochasticOrder \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2312--2313 []\T1/pcr/m/n/10.95 structured_add_s_v \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2313--2314 []\T1/pcr/m/n/10.95 structured_dot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 2314--2315 []\T1/pcr/m/n/10.95 StructuredAddSV \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2316--2317 []\T1/pcr/m/n/10.95 StructuredDotGradCSC \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2317--2318 []\T1/pcr/m/n/10.95 StructuredDotGradCSR \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2323--2324 []\T1/pcr/m/n/10.95 sum() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2326--2328 []\T1/pcr/m/n/10.95 supports_c_code() Overfull \hbox (20.55794pt too wide) in paragraph at lines 2326--2328 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 5388) in paragraph at lines 2336--2337 []\T1/pcr/m/n/10.95 T \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._tens or_py_operators at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2337--2338 []\T1/pcr/m/n/10.95 take() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2357--2358 []\T1/pcr/m/n/10.95 TensorSharedVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2359--2360 []\T1/pcr/m/n/10.95 tensorsolve() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2367--2368 []\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 mod-ule\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2369--2370 []\T1/pcr/m/n/10.95 theano.compile.sharedvalue \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 mod-ule\T1/ptm/m/n/10.95 ), [838] Underfull \hbox (badness 10000) in paragraph at lines 2389--2390 []\T1/pcr/m/n/10.95 theano.gpuarray.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 mod-ule\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2404--2405 []\T1/pcr/m/n/10.95 theano.sparse.sandbox.truedot \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 mod- Underfull \hbox (badness 10000) in paragraph at lines 2411--2412 []\T1/pcr/m/n/10.95 theano.tensor.nnet.abstract_conv Underfull \hbox (badness 10000) in paragraph at lines 2414--2415 []\T1/pcr/m/n/10.95 theano.tensor.nnet.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 mod- Underfull \hbox (badness 10000) in paragraph at lines 2418--2419 []\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams Underfull \hbox (badness 10000) in paragraph at lines 2428--2429 []\T1/pcr/m/n/10.95 to_one_hot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 2432--2433 []\T1/pcr/m/n/10.95 trace() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor ._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2437--2438 []\T1/pcr/m/n/10.95 transform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.Canonizer Overfull \hbox (6.00555pt too wide) in paragraph at lines 2440--2442 []\T1/pcr/m/n/10.95 transpose() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2444--2446 []\T1/pcr/m/n/10.95 truncated_normal() Overfull \hbox (26.60251pt too wide) in paragraph at lines 2444--2446 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2449--2450 []\T1/pcr/m/n/10.95 type \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 2450--2451 []\T1/pcr/m/n/10.95 typecode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2451--2452 []\T1/pcr/m/n/10.95 TypedListConstant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in [839] Underfull \hbox (badness 10000) in paragraph at lines 2452--2453 []\T1/pcr/m/n/10.95 TypedListVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 2456--2458 []\T1/pcr/m/n/10.95 ultra_fast_sigmoid() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2459--2460 []\T1/pcr/m/n/10.95 undefined_grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 2461--2462 []\T1/pcr/m/n/10.95 uniform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Overfull \hbox (47.81294pt too wide) in paragraph at lines 2462--2464 []\T1/pcr/m/n/10.95 uniform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sand box.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2466--2467 []\T1/pcr/m/n/10.95 unpack() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2467--2468 []\T1/pcr/m/n/10.95 unpad_dims() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 2468--2469 []\T1/pcr/m/n/10.95 unravel_index() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Overfull \hbox (81.99802pt too wide) in paragraph at lines 2471--2473 []\T1/pcr/m/n/10.95 unshared2d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor.nnet.abstract_conv.BaseAbstractConv Overfull \hbox (55.48802pt too wide) in paragraph at lines 2474--2476 []\T1/pcr/m/n/10.95 update \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. shared_randomstreams.RandomVariable Underfull \hbox (badness 10000) in paragraph at lines 2476--2477 []\T1/pcr/m/n/10.95 update_shape() Underfull \hbox (badness 5374) in paragraph at lines 2476--2477 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.ShapeFeature method\T1/ ptm/m/n/10.95 ), Overfull \hbox (72.96417pt too wide) in paragraph at lines 2477--2479 []\T1/pcr/m/n/10.95 updates() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.shared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2487--2488 []\T1/pcr/m/n/10.95 value \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type .PureType.Constant at- Underfull \hbox (badness 10000) in paragraph at lines 2488--2490 []\T1/pcr/m/n/10.95 value_validity_msg() Overfull \hbox (9.70728pt too wide) in paragraph at lines 2491--2493 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 2493--2494 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Underfull \hbox (badness 10000) in paragraph at lines 2494--2495 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.PureType Overfull \hbox (8.9188pt too wide) in paragraph at lines 2495--2497 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 2497--2499 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 2500--2502 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2500--2502 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 2502--2503 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2502--2503 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.EnumType method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2503--2504 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2504--2506 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2504--2506 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2507--2508 []\T1/pcr/m/n/10.95 var() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2513--2514 []\T1/pcr/m/n/10.95 Variable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2515--2516 []\T1/pcr/m/n/10.95 variables_and_orphans() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule [840] Underfull \hbox (badness 10000) in paragraph at lines 2531--2533 []\T1/pcr/m/n/10.95 warn_input_not_reused \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con- Underfull \hbox (badness 8189) in paragraph at lines 2533--2534 []\T1/pcr/m/n/10.95 warn_no_version \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-f ig.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2535--2536 []\T1/pcr/m/n/10.95 work_dtype() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 2538--2539 []\T1/pcr/m/n/10.95 write_w() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Overfull \hbox (12.57555pt too wide) in paragraph at lines 2550--2552 []\T1/pcr/m/n/10.95 zeros_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor._tensor_py_operators [841]) (./theano.aux) Package rerunfilecheck Warning: File `theano.out' has changed. (rerunfilecheck) Rerun to get outlines right (rerunfilecheck) or use package `bookmark'. LaTeX Warning: There were undefined references. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on theano.pdf (845 pages, 3766385 bytes). Transcript written on theano.log. Latexmk: Index file 'theano.idx' was written Latexmk: References changed. Latexmk: Log file says output to 'theano.pdf' Rule 'pdflatex': File changes, etc: Changed files, or newly in use since previous run(s): 'theano.aux' 'theano.out' 'theano.toc' ------------ Run number 3 of rule 'pdflatex' ------------ ------------ Running 'pdflatex -recorder "theano.tex"' ------------ === TeX engine is 'pdfTeX' Latexmk: applying rule 'pdflatex'... This is pdfTeX, Version 3.14159265-2.6-1.40.19 (TeX Live 2019/dev/Debian) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode (./theano.tex LaTeX2e <2018-12-01> (./sphinxmanual.cls Document Class: sphinxmanual 2018/12/22 v1.8.3 Document class (Sphinx manual) (/usr/share/texlive/texmf-dist/tex/latex/base/report.cls Document Class: report 2018/09/03 v1.4i Standard LaTeX document class (/usr/share/texlive/texmf-dist/tex/latex/base/size11.clo))) (/usr/share/texlive/texmf-dist/tex/latex/base/inputenc.sty) (/usr/share/texlive/texmf-dist/tex/latex/cmap/cmap.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/fontenc.sty (/usr/share/texlive/texmf-dist/tex/latex/base/t1enc.def)<>) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsmath.sty For additional information on amsmath, use the `?' option. (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amstext.sty (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsgen.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsbsy.sty) (/usr/share/texlive/texmf-dist/tex/latex/amsmath/amsopn.sty)) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amssymb.sty (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/amsfonts.sty)) (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.sty (/usr/share/texlive/texmf-dist/tex/generic/babel/switch.def) (/usr/share/texlive/texmf-dist/tex/generic/babel-english/english.ldf (/usr/share/texlive/texmf-dist/tex/generic/babel/babel.def (/usr/share/texlive/texmf-dist/tex/generic/babel/txtbabel.def)))) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/times.sty) (/usr/share/texlive/texmf-dist/tex/latex/fncychap/fncychap.sty) (./sphinx.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ltxcmds.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphicx.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/keyval.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics/graphics.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics/trig.sty) (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/graphics.cfg) (/usr/share/texlive/texmf-dist/tex/latex/graphics-def/pdftex.def))) (/usr/share/texlive/texmf-dist/tex/latex/fancyhdr/fancyhdr.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/textcomp.sty (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.def (/usr/share/texlive/texmf-dist/tex/latex/base/ts1enc.dfu))) (/usr/share/texlive/texmf-dist/tex/latex/titlesec/titlesec.sty) (/usr/share/texlive/texmf-dist/tex/latex/tabulary/tabulary.sty (/usr/share/texlive/texmf-dist/tex/latex/tools/array.sty)) (/usr/share/texlive/texmf-dist/tex/latex/tools/longtable.sty) (/usr/share/texlive/texmf-dist/tex/latex/varwidth/varwidth.sty) (./sphinxmulticell.sty) (/usr/share/texlive/texmf-dist/tex/latex/base/makeidx.sty) (/usr/share/texlive/texmf-dist/tex/latex/framed/framed.sty) (/usr/share/texlive/texmf-dist/tex/latex/xcolor/xcolor.sty (/usr/share/texlive/texmf-dist/tex/latex/graphics-cfg/color.cfg)) (/usr/share/texlive/texmf-dist/tex/latex/fancyvrb/fancyvrb.sty Style option: `fancyvrb' v3.2a <2019/01/15> (tvz)) (./footnotehyper-sphinx.sty) (/usr/share/texlive/texmf-dist/tex/latex/float/float.sty) (/usr/share/texlive/texmf-dist/tex/latex/wrapfig/wrapfig.sty) (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip.sty (/usr/share/texlive/texmf-dist/tex/latex/parskip/parskip-2001-04-09.sty)) (/usr/share/texlive/texmf-dist/tex/latex/base/alltt.sty) (/usr/share/texlive/texmf-dist/tex/latex/upquote/upquote.sty) (/usr/share/texlive/texmf-dist/tex/latex/capt-of/capt-of.sty) (/usr/share/texlive/texmf-dist/tex/latex/needspace/needspace.sty) (./sphinxhighlight.sty) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/kvoptions.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/kvsetkeys.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/infwarerr.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/etexcmds.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifluatex.sty))))) (/usr/share/texlive/texmf-dist/tex/latex/geometry/geometry.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifpdf.sty) (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/ifvtex.sty) (/usr/share/texlive/texmf-dist/tex/generic/ifxetex/ifxetex.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-hyperref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/hobsub-generic.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/auxhook.sty) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/pd1enc.def) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/hyperref.cfg) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/puenc.def) (/usr/share/texlive/texmf-dist/tex/latex/url/url.sty)) (/usr/share/texlive/texmf-dist/tex/latex/hyperref/hpdftex.def (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/rerunfilecheck.sty)) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/hypcap.sty) Writing index file theano.idx (./theano.aux) (/usr/share/texlive/texmf-dist/tex/latex/base/ts1cmr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1ptm.fd) (/usr/share/texlive/texmf-dist/tex/context/base/mkii/supp-pdf.mkii [Loading MPS to PDF converter (version 2006.09.02).] ) (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/epstopdf-base.sty (/usr/share/texlive/texmf-dist/tex/latex/oberdiek/grfext.sty) (/usr/share/texlive/texmf-dist/tex/latex/latexconfig/epstopdf-sys.cfg)) *geometry* driver: auto-detecting *geometry* detected driver: pdftex (/usr/share/texlive/texmf-dist/tex/latex/hyperref/nameref.sty (/usr/share/texlive/texmf-dist/tex/generic/oberdiek/gettitlestring.sty)) (./theano.out) (./theano.out) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1pcr.fd) (/usr/share/texlive/texmf-dist/tex/latex/psnfss/t1phv.fd)<><><><> (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd) (/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd) [1{/var/lib/texmf/fo nts/map/pdftex/updmap/pdftex.map} <./theano_logo_allblue_200x46.png>] [2] (./theano.toc) [1] [2] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1ptm.fd) Package Fancyhdr Warning: \headheight is too small (12.0pt): Make it at least 13.59999pt. We now make it that large for the rest of the document. This may cause the page layout to be inconsistent, however. [1] [2] Chapter 1. [3] [4 <./talk2010.png>] Chapter 2. [5] [6] Chapter 3. [7] [8] Chapter 4. [9] [10] Chapter 5. [11] [12] Chapter 6. [13] [14] (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1pcr.fd) [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] LaTeX Warning: Hyper reference `library/tensor/basic:libdoc-tensor-broadcastabl e' on page 46 undefined on input line 2774. [46] Underfull \hbox (badness 10000) in paragraph at lines 2779--2780 []\T1/ptm/b/n/10.95 byte\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 bscalar, bvector, bmatrix, brow, bcol, btensor3, btensor4, Underfull \hbox (badness 10000) in paragraph at lines 2782--2783 []\T1/ptm/b/n/10.95 16-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 wsca lar, wvector, wmatrix, wrow, wcol, wtensor3, Underfull \hbox (badness 10000) in paragraph at lines 2785--2786 []\T1/ptm/b/n/10.95 32-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 isca lar, ivector, imatrix, irow, icol, itensor3, Underfull \hbox (badness 10000) in paragraph at lines 2788--2789 []\T1/ptm/b/n/10.95 64-bit in-te-gers\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 lsca lar, lvector, lmatrix, lrow, lcol, ltensor3, Underfull \hbox (badness 10000) in paragraph at lines 2791--2792 []\T1/ptm/b/n/10.95 float\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 fscalar, fvector , fmatrix, frow, fcol, ftensor3, ftensor4, Underfull \hbox (badness 10000) in paragraph at lines 2794--2795 []\T1/ptm/b/n/10.95 double\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 dscalar, dvecto r, dmatrix, drow, dcol, dtensor3, dtensor4, Underfull \hbox (badness 10000) in paragraph at lines 2797--2798 []\T1/ptm/b/n/10.95 complex\T1/ptm/m/n/10.95 : \T1/pcr/m/n/10.95 cscalar, cvect or, cmatrix, crow, ccol, ctensor3, ctensor4, [47] [48 <./logistic.png>] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58 <./dlogistic.png>] [59] [60] [61] [62] [63] [64] [65] Overfull \vbox (1.67064pt too high) detected at line 4001 [66] Overfull \vbox (3.27065pt too high) detected at line 4077 [67] [68] [69] Overfull \vbox (0.82033pt too high) detected at line 4223 [70] [71] [72] [73] [74 <./bcast.png>] [75] [76] [77] [78] LaTeX Warning: Hyper reference `install_macos:gpu-macos' on page 79 undefined o n input line 4765. [79] [80] [81] [82] [83] [84] Underfull \hbox (badness 10000) in paragraph at lines 5130--5131 []\T1/ptm/m/n/10.95 Abstractions to com-pile low-level CUDA code from Python (\ T1/pcr/m/n/10.95 pycuda.driver. [85] [86] [87] [88] [89] [90] [91] [92 <./numerical_no_padding_no_strides.pdf>] [93] [94 <./numerical_padding_strides.pdf>] [95 <./no_padding_no_strides.pdf>] [96] [97 <./arbitrary_padding_no_strides.pdf>] [98 <./same_padding_no_strides.p df>] [99] [100 <./full_padding_no_strides.pdf>] [101 <./no_padding_strides.pdf> ] [102 <./padding_strides.pdf>] [103 <./padding_strides_odd.pdf>] [104] [105] [106] [107] [108 <./no_padding_no_strides_transposed.pdf>] [109 <./arbitr ary_padding_no_strides_transposed.pdf>] [110] [111 <./same_padding_no_strides_t ransposed.pdf>] [112] [113 <./full_padding_no_strides_transposed.pdf>] [114 <./ no_padding_strides_transposed.pdf>] LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship8' on page 115 undefined on input line 6403. LaTeX Warning: Hyper reference `tutorial/conv_arithmetic:relationship11' on pag e 115 undefined on input line 6404. [115] [116 <./padding_strides_transposed.pdf>] [117 <./padding_strides_odd_tran sposed.pdf>] [118 <./dilation.pdf>] [119] [120 <./sep2D.jpg>] [121] [122] [123] Underfull \hbox (badness 10000) in paragraph at lines 6853--6856 [] Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/phv/m/n/10.95 short Overfull \hbox (34.68462pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 FAST_COMPILE| Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 compile.mode.Mode(linker=\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10 .95 py\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , Overfull \hbox (8.40465pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 FAST_RUN| Underfull \hbox (badness 10000) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 compile.mode.Mode(linker=\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10 .95 cvm\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , Overfull \hbox (14.97464pt too wide) in paragraph at lines 6903--6903 []\T1/pcr/m/n/10.95 DebugMode| Underfull \hbox (badness 10000) in paragraph at lines 7039--7039 []\T1/ptm/m/n/10.95 Nan-Guard- Underfull \hbox (badness 10000) in paragraph at lines 7039--7039 []\T1/ptm/m/n/10.95 VERY [124] Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/phv/m/n/10.95 Com-pile Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/phv/m/n/10.95 Ex-e-cu-tion Underfull \hbox (badness 10000) in paragraph at lines 7136--7136 []\T1/ptm/m/n/10.95 o1 [125] Underfull \hbox (badness 10000) in paragraph at lines 7189--7195 []\T1/ptm/m/n/10.95 Theano pro-vides the func-tions \T1/pcr/m/n/10.95 theano.pr inting.pprint() \T1/ptm/m/n/10.95 and [][]\T1/pcr/m/sl/10.95 theano.printing. Underfull \hbox (badness 7133) in paragraph at lines 7196--7203 \T1/ptm/b/n/10.95 Note: \T1/ptm/m/n/10.95 When print-ing Theano func-tions, th ey can some-times be hard to read. To Underfull \hbox (badness 10000) in paragraph at lines 7196--7203 \T1/ptm/m/n/10.95 help with this, you can dis-able some Theano op-ti-miza-tions by us-ing the Theano flag: [126] [127] Overfull \hbox (132.49107pt too wide) in paragraph at lines 7299--7300 [] [128] Overfull \hbox (132.49107pt too wide) in paragraph at lines 7308--7309 [] [129 <./logreg_pydotprint_prediction2.png>] Overfull \hbox (659.4564pt too wide) in paragraph at lines 7317--7318 [] [130 <./logreg_pydotprint_predict2.png>] [131 <./logreg_pydotprint_train2.png>] [132 <./d3viz.png>] [133] Overfull \vbox (2.07271pt too high) detected at line 7485 [134] [135] [136] [137] Underfull \hbox (badness 10000) in paragraph at lines 7685--7687 []\T1/ptm/m/n/10.95 It is pos-si-ble to use this mode by pro-vid-ing the flag i n THEANO_FLAGS, such as: Underfull \hbox (badness 10000) in paragraph at lines 7685--7687 \T1/pcr/m/n/10.95 THEANO_FLAGS="float32,device=gpu,assert_no_cpu_op=\TS1/pcr/m/ n/10.95 '\T1/pcr/m/n/10.95 raise\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 " python test. [138] [139] Underfull \hbox (badness 10000) in paragraph at lines 7787--7792 \T1/ptm/b/n/10.95 Note: \T1/ptm/m/n/10.95 The Theano flags \T1/pcr/m/n/10.95 o ptimizer_including\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 optimizer_excluding \T1 /ptm/m/n/10.95 and Overfull \vbox (3.07274pt too high) detected at line 7844 [140] [141] [142] [143] Overfull \hbox (197.92802pt too wide) in paragraph at lines 8049--8049 [] Underfull \hbox (badness 10000) in paragraph at lines 8049--8049 Underfull \hbox (badness 10000) in paragraph at lines 8105--8106 []\T1/ptm/m/n/10.95 THEANO_FLAGS=optimizer_excluding=fusion:inplace,profile=Tru e python [144] [145] [146 <./apply.png>] [147] [148] [149] [150] [151] Overfull \hbox (6.0pt too wide) in paragraph at lines 8594--8594 []| Overfull \hbox (157.20721pt too wide) in paragraph at lines 8594--8594 [][]| Overfull \hbox (6.0pt too wide) in paragraph at lines 8594--8594 []| Overfull \hbox (157.43991pt too wide) in paragraph at lines 8594--8594 [][]| Overfull \hbox (6.00545pt too wide) in paragraph at lines 8594--8595 [][] [152 <./symbolic_graph_unopt.png> <./symbolic_graph_opt.png>] [153] [154] [155] [156] [157] [158] [159] [160] [161] [162] [163 <./apply_node.png>] [164] [165] [166] Underfull \vbox (badness 10000) detected at line 9593 Overfull \vbox (2.47066pt too high) detected at line 9593 [167] [168] [169] [170] [171] Underfull \hbox (badness 10000) in paragraph at lines 9857--9861 \T1/pcr/m/n/10.95 RopLop_checker.check_rop_lop() \T1/ptm/m/n/10.95 and \T1/pcr/ m/n/10.95 RopLop_checker.check_nondiff_rop()\T1/ptm/m/n/10.95 . [172] [173] [174] [175] Underfull \hbox (badness 10000) in paragraph at lines 10089--10094 []\T1/ptm/m/n/10.95 You can tell Nan-Guard-Mode to do not check a vari-able wit h: \T1/pcr/m/n/10.95 variable.tag. [176] [177] [178] Underfull \hbox (badness 10000) in paragraph at lines 10366--10369 \T1/ptm/m/n/10.95 NPY_ARRAY_F_CONTIGUOUS, NPY_ARRAY_OWNDATA, NPY_ARRAY_ALIGNED, [179] [180] Underfull \hbox (badness 10000) in paragraph at lines 10479--10484 []\T1/ptm/m/n/10.95 This sec-tion de-scribes the meth-ods [][]\T1/pcr/m/sl/10.9 5 Op.c_code()[][]\T1/ptm/m/n/10.95 , [][]\T1/pcr/m/sl/10.95 Op.c_support_code() [][]\T1/ptm/m/n/10.95 , [][]\T1/pcr/m/sl/10.95 Op. [181] [182] Overfull \vbox (2.50832pt too high) detected at line 10740 [183] Underfull \vbox (badness 10000) detected at line 10740 Overfull \vbox (2.47066pt too high) detected at line 10740 [184] Overfull \vbox (1.72316pt too high) detected at line 10893 [185] Underfull \vbox (badness 10000) detected at line 10893 Overfull \vbox (2.47066pt too high) detected at line 10893 [186] [187] [188] Underfull \vbox (badness 10000) detected at line 11032 Overfull \vbox (2.47066pt too high) detected at line 11032 [189] [190] Underfull \hbox (badness 10000) in paragraph at lines 11155--11158 []\T1/ptm/m/n/10.95 In the same way, the macros \T1/pcr/m/n/10.95 DTYPE_OUTPUT_ {i}\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 ITEMSIZE_OUTPUT_{i} \T1/ptm/m/n/10.95 and [191] [192] [193] [194] [195] [196] [197] [198] [199] [200] [201] [202] Overfull \vbox (10.92513pt too high) detected at line 12084 [203] [204] [205] [206] [207] [208] Underfull \hbox (badness 10000) in paragraph at lines 12514--12521 []\T1/ptm/m/n/10.95 If the out-put list of the op is $\OT1/cmr/m/n/10.95 [\OML/ cmm/m/it/10.95 f[]; :::f[]\OT1/cmr/m/n/10.95 ]$\T1/ptm/m/n/10.95 , then the lis t \T1/pcr/m/n/10.95 output_gradients \T1/ptm/m/n/10.95 is [209] Underfull \hbox (badness 10000) in paragraph at lines 12618--12623 []\T1/ptm/m/n/10.95 The grad method Underfull \hbox (badness 10000) in paragraph at lines 12627--12632 []\T1/ptm/m/n/10.95 If [210] [211] [212] [213] [214] Overfull \vbox (0.70735pt too high) detected at line 13035 [215] [216] [217] [218] [219] Underfull \hbox (badness 6412) in paragraph at lines 13289--13296 []\T1/ptm/m/n/10.95 You can ex-tract the 4 fields with [][]\T1/pcr/m/sl/10.95 t heano.sparse.basic.csm_properties()[][]\T1/ptm/m/n/10.95 . You [220] [221] [222] [223] [224] [225] Underfull \hbox (badness 10000) in paragraph at lines 13781--13790 []\T1/ptm/m/n/10.95 The rest of the code is not ab-so-lutely nec-es-sary and it is ba-si-cally ^^Pgood prac-tice^^Q. [226] [227] [228] [229] [230] [231] [232] [233] [234] [235] [236] [237] [238] Overfull \vbox (2.923pt too high) detected at line 14767 [239] [240] Underfull \hbox (badness 10000) in paragraph at lines 14814--14819 []\T1/ptm/m/n/10.95 Also note that [][]\T1/pcr/m/sl/10.95 theano.gpuarray.basic _ops.as_gpuarray_variable()[][] \T1/ptm/m/n/10.95 takes [241] [242] [243] [244] Underfull \vbox (badness 10000) detected at line 15148 Overfull \vbox (2.47066pt too high) detected at line 15148 [245] [246] [247] Underfull \vbox (badness 10000) detected at line 15256 [248] [249] Underfull \hbox (badness 10000) in paragraph at lines 15380--15382 []\T1/ptm/m/it/10.95 Default: \T1/ptm/m/n/10.95 this is de-fined by Op-ti-mizer as \T1/pcr/m/n/10.95 add_requirement(fgraph); [250] [251] [252] Overfull \vbox (0.72308pt too high) detected at line 15585 [253] [254] [255] [256] [257] [258] Underfull \hbox (badness 10000) in paragraph at lines 16041--16042 []\T1/pcr/m/n/10.95 Theano Linker time (includes C, CUDA code generation/compil ing): [259] Underfull \vbox (badness 10000) detected at line 16252 Underfull \vbox (badness 10000) detected at line 16252 [260] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [261] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [262] Underfull \vbox (badness 10000) detected at line 16252 Overfull \vbox (2.47066pt too high) detected at line 16252 [263] [264] Underfull \vbox (badness 10000) detected at line 16378 Overfull \vbox (9.22032pt too high) detected at line 16378 [265] Underfull \hbox (badness 10000) in paragraph at lines 16382--16388 []\T1/pcr/m/n/10.95 0.751816s - (\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 canonica lize\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10. 95 EquilibriumOptimizer\TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 , 4) - 0. [266] [267] [268] [269] [270] [271] [272] [273] [274] [275] [276] [277] [278] Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Type of Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 scan Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 in-ner in-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 in-ner out-put Underfull \hbox (badness 6910) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 at timestep \T1/phv/m/sl/10.95 t Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 (in-dexed from Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ing outer Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/phv/m/n/10.95 Cor-re-spond- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ing ar-gu- Underfull \hbox (badness 7777) in paragraph at lines 17361--17361 \T1/phv/m/n/10.95 ment of the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/phv/m/sl/10.95 theano.scan() Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 In-di-vid-ual se- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Non- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurring Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/it/10.95 No cor-re- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/it/10.95 spond-ing Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Singly- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 6157) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 (value at Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 at pre-vi-ous Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-put Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 5652) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Multiply- Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 recurrent Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 mul-ti-ple Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 out-puts Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Ini-tial val- Underfull \hbox (badness 5652) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 ues for the Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 re-quired Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 timesteps Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put value Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Out-put val-ues Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 \T1/ptm/m/n/10.95 mul-ti-ple fu-ture Underfull \hbox (badness 10000) in paragraph at lines 17361--17361 []\T1/ptm/m/n/10.95 Con-cate-na-tion [279] [280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291] [292] [293] LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18369. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18369. LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18621. (/usr/share/texlive/texmf-dist/tex/latex/psnfss/ts1phv.fd) LaTeX Warning: Hyper reference `optimizations:o4' on page 294 undefined on inpu t line 18621. LaTeX Warning: Hyper reference `optimizations:o1' on page 294 undefined on inpu t line 18621. [294] [295] Underfull \hbox (badness 10000) in paragraph at lines 18671--18672 []\T1/pcr/m/n/10.95 inc_subtensor(a,b,idx) + inc_subtensor(a,c,idx) -> Underfull \hbox (badness 10000) in paragraph at lines 18675--18677 []\T1/ptm/m/n/10.95 This op-ti-mizes graphs like \T1/pcr/m/n/10.95 reshape(resh ape(x, shape1), shape2) \T1/ptm/m/n/10.95 -> Underfull \hbox (badness 10000) in paragraph at lines 18717--18719 []\T1/ptm/m/n/10.95 This op-ti-mizes graphs like \T1/pcr/m/n/10.95 sum(scalar * tensor) \T1/ptm/m/n/10.95 -> \T1/pcr/m/n/10.95 scalar * [296] [297] [298] Underfull \hbox (badness 10000) in paragraph at lines 18883--18891 []\T1/ptm/m/n/10.95 By de-fault, re-turn a copy of the data. If \T1/pcr/m/n/10. 95 borrow=True \T1/ptm/m/n/10.95 (and Underfull \hbox (badness 10000) in paragraph at lines 18962--18962 []\T1/ptm/m/it/10.95 value\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 strict=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/ 10.95 al- [299] [300] Underfull \hbox (badness 7238) in paragraph at lines 19138--19138 []\T1/ptm/m/it/10.95 self\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 vari-able\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 value=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 up-date=None\T1/ptm/m/n/10.9 5 , \T1/ptm/m/it/10.95 mu-ta-ble=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 mode=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 up-dates=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 givens=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 no_default _updates=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 ac-cept_inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- Underfull \hbox (badness 10000) in paragraph at lines 19182--19182 \T1/ptm/m/it/10.95 build_strict=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 al-l ow_input_downcast=None\T1/ptm/m/n/10.95 , [301] Underfull \hbox (badness 10000) in paragraph at lines 19187--19190 []\T1/pcr/b/n/10.95 params \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 list of either Variable or In instances, but Underfull \hbox (badness 10000) in paragraph at lines 19198--19200 []\T1/pcr/b/n/10.95 updates \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 iterable over pairs (shared_variable, Underfull \hbox (badness 8019) in paragraph at lines 19202--19206 []\T1/pcr/b/n/10.95 givens \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 iterable over pairs (Var1, Var2) of Variables. Underfull \hbox (badness 10000) in paragraph at lines 19202--19206 \T1/pcr/m/sl/10.95 List, tuple or dict. The Var1 and Var2 in each pair [302] Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 []\T1/ptm/m/it/10.95 filename\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-puts\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 no_default_updates=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 ac- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 cept_inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nam e=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 re-build_strict=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 a l- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 low_input_downcast=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 pro- Underfull \hbox (badness 10000) in paragraph at lines 19297--19297 \T1/ptm/m/it/10.95 file=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 on_unused_in put=None\T1/ptm/m/n/10.95 , [303] Underfull \hbox (badness 10000) in paragraph at lines 19334--19334 []\T1/ptm/m/it/10.95 fn\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-put_storage\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 19334--19334 \T1/ptm/m/it/10.95 de-faults\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-pack_sing le\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- [304] [305] Underfull \hbox (badness 5161) in paragraph at lines 19497--19503 []\T1/ptm/m/n/10.95 input. If up-date is`` [306] [307] [308] [309] [310] [311] [312] [313] [314] [315] [316] [317] [318] [319] [320] [321] [322] Underfull \hbox (badness 10000) in paragraph at lines 20996--20996 []\T1/ptm/m/it/10.95 typ\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 code\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 ver-sion=()\T1/ptm/m/n/10.95 , Overfull \hbox (16.37978pt too wide) in paragraph at lines 20996--20996 \T1/ptm/m/it/10.95 c_support_code_apply=None\T1/pcr/m/n/10.95 ) [323] [324] [325] [326] Underfull \hbox (badness 10000) in paragraph at lines 21333--21333 []\T1/ptm/m/it/10.95 self\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 op-ti-mizer='fa st_run'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sta-bil-ity_patience=None\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 check_c_code=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 5985) in paragraph at lines 21333--21333 \T1/ptm/m/it/10.95 check_py_code=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 che ck_isfinite=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re-quire_matching_stride s=None\T1/ptm/m/n/10.95 , [327] [328] Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 []\T1/ptm/m/it/10.95 nan_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 inf_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 big_is_error=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 21503--21503 \T1/ptm/m/it/10.95 op-ti-mizer='default'\T1/ptm/m/n/10.95 , [329] [330] [331] [332] [333] [334] [335] [336] [337] Overfull \hbox (108.91849pt too wide) in paragraph at lines 22315--22316 \T1/ptm/m/n/10.95 Default: \T1/pcr/m/n/10.95 "compiledir_%(platform)s-%(process or)s-%(python_version)s-%(python_bitwidth)s" [338] Underfull \hbox (badness 10000) in paragraph at lines 22432--22434 \T1/ptm/m/n/10.95 Deprecated, use [][]\T1/pcr/m/sl/10.95 config.dnn.conv.algo_b wd_filter[][] \T1/ptm/m/n/10.95 and [][]\T1/pcr/m/sl/10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 22441--22445 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 winograd_non_fused\TS1/pcr/m/n/10.95 '\T1 /ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/1 0.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_ change\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 7722) in paragraph at lines 22448--22450 []\T1/ptm/m/n/10.95 3d con-vo-lu-tion only sup-port \TS1/pcr/m/n/10.95 '\T1/pcr /m/n/10.95 none\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/ pcr/m/n/10.95 small\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 ' \T1/pcr/m/n/10.95 fft_tiling\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/ n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 22457--22459 \T1/ptm/m/n/10.95 Deprecated, use [][]\T1/pcr/m/sl/10.95 config.dnn.conv.algo_b wd_filter[][] \T1/ptm/m/n/10.95 and [][]\T1/pcr/m/sl/10.95 config.dnn.conv. Underfull \hbox (badness 10000) in paragraph at lines 22466--22469 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 fft_tiling\TS1/pcr/m/n/10.95 '\T1/ptm/m/n /10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T 1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_change\T S1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 tim e_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 22472--22474 []\T1/ptm/m/n/10.95 3d con-vo-lu-tion only sup-ports \TS1/pcr/m/n/10.95 '\T1/pc r/m/n/10.95 none\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1 /pcr/m/n/10.95 small\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , [339] Underfull \hbox (badness 10000) in paragraph at lines 22481--22485 \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 winograd_non_fused\TS1/pcr/m/n/10.95 '\T1 /ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_once\TS1/pcr/m/n/1 0.95 '\T1/ptm/m/n/10.95 , \TS1/pcr/m/n/10.95 '\T1/pcr/m/n/10.95 guess_on_shape_ change\TS1/pcr/m/n/10.95 '\T1/ptm/m/n/10.95 , [340] [341] [342] [343] [344] [345] [346] [347 <./index_10_0.png>] [348] [349] [350 <./index_24_0.png>] [351] Underfull \hbox (badness 5939) in paragraph at lines 23408--23410 \T1/ptm/m/n/10.95 This func-tion ac-cepts ex-tra pa-ram-e-ters which will be fo r-warded to [][]\T1/pcr/m/sl/10.95 theano.d3viz. Underfull \hbox (badness 5939) in paragraph at lines 23431--23433 \T1/ptm/m/n/10.95 This func-tion ac-cepts ex-tra pa-ram-e-ters which will be fo r-warded to [][]\T1/pcr/m/sl/10.95 theano.d3viz. [352] [353] [354] [355] [356] Overfull \vbox (3.25508pt too high) detected at line 23927 [357] [358] Underfull \hbox (badness 10000) in paragraph at lines 24032--24032 []\T1/ptm/m/it/10.95 i\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 o\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 leaf_formatter=\T1/ptm/m/n/10.95 , [359] Underfull \hbox (badness 10000) in paragraph at lines 24108--24108 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 copy_inputs=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 24146--24146 []\T1/ptm/m/it/10.95 outputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 deps\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 de-bug_print=False\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 com- Underfull \hbox (badness 10000) in paragraph at lines 24146--24146 \T1/ptm/m/it/10.95 pute_deps_cache=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 d eps_cache=None\T1/ptm/m/n/10.95 , [360] [361] Underfull \hbox (badness 10000) in paragraph at lines 24383--24383 []\T1/ptm/m/it/10.95 i\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 op\T1/ptm/m/n/10.9 5 , \T1/ptm/m/it/10.95 leaf_formatter=\T1/ptm/m/n/10.95 , [362] [363] [364] Underfull \hbox (badness 10000) in paragraph at lines 24637--24639 []\T1/ptm/m/n/10.95 For each fea-ture that has a `on_change_input' method, call s: fea- [365] [366] [367] Underfull \hbox (badness 10000) in paragraph at lines 24981--24981 \T1/ptm/m/it/10.95 li-braries=()\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 lib_dirs =()\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 com-pile_args=()\T1/ptm/m/n/10.95 , \ T1/ptm/m/it/10.95 ex- [368] [369] [370] [371] Underfull \hbox (badness 10000) in paragraph at lines 25247--25249 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [372] Underfull \hbox (badness 10000) in paragraph at lines 25388--25389 []\T1/ptm/m/n/10.95 See test \T1/pcr/m/n/10.95 theano.gof.tests.test_types.Test EnumTypes. [373] [374] [375] [376] [377] Overfull \vbox (1.22041pt too high) detected at line 25857 [378] [379] [380] [381] [382] [383] [384] [385] [386] [387] [388] [389] Underfull \hbox (badness 10000) in paragraph at lines 26863--26865 []\T1/ptm/m/n/10.95 See \T1/pcr/m/n/10.95 QuadraticOpFunc \T1/ptm/m/n/10.95 and \T1/pcr/m/n/10.95 QuadraticCOpFunc \T1/ptm/m/n/10.95 in \T1/pcr/m/n/10.95 thea no/gof/tests/ [390] [391] [392] [393] [394] [395] Underfull \hbox (badness 10000) in paragraph at lines 27277--27279 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [396] [397] [398] [399] [400] [401] [402] [403] [404] [405] [406] [407] [408] [409] [410] [411] [412] [413] [414] [415] [416] Underfull \hbox (badness 10000) in paragraph at lines 29322--29322 []\T1/ptm/m/it/10.95 code\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 params\T1/ptm/m /n/10.95 , \T1/ptm/m/it/10.95 name\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 flags\ T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 code- Underfull \hbox (badness 10000) in paragraph at lines 29355--29357 []\T1/ptm/m/n/10.95 It can also have the key \T1/ptm/m/it/10.95 cflags \T1/ptm/ m/n/10.95 which is a string of C flag val-ues like this [417] Underfull \hbox (badness 10000) in paragraph at lines 29429--29429 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam- [418] Underfull \hbox (badness 5119) in paragraph at lines 29476--29476 []\T1/ptm/m/it/10.95 bottom\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 weights\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 top\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-r ec-tion\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 height=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 width=None\T1/ptm/m/ n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29477--29482 \T1/ptm/m/n/10.95 This gen-er-ates the C code for Gpu-Corr3dMM (di-rec-tion=^^Q forward^^Q), Gpu- Underfull \hbox (badness 10000) in paragraph at lines 29497--29502 []\T1/pcr/b/n/10.95 direction \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 forward\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop weights\TS1/pcr/m/sl/10.95 '\T 1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop [419] Underfull \hbox (badness 10000) in paragraph at lines 29596--29596 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 29596--29596 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/1 0.95 , \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 1)\T1/ptm/m/n/10.95 , [420] Underfull \hbox (badness 10000) in paragraph at lines 29667--29672 []\T1/pcr/b/n/10.95 direction \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 forward\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop weights\TS1/pcr/m/sl/10.95 '\T 1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 backprop [421] [422] Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29824--29824 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [423] Underfull \hbox (badness 10000) in paragraph at lines 29936--29936 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 29936--29936 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [424] Underfull \hbox (badness 10000) in paragraph at lines 30004--30004 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 6220) in paragraph at lines 30004--30004 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [425] Underfull \hbox (badness 5756) in paragraph at lines 30072--30072 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 un- [426] Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30189--30189 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [427] Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 []\T1/ptm/m/it/10.95 border_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30257--30257 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [428] [429] [430] [431] [432] [433] [434] Underfull \hbox (badness 10000) in paragraph at lines 30943--30943 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\ T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 30943--30943 \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , [435] [436] Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\ T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 re-duce_mask=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31097--31097 \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 , [437] [438] [439] [440] Underfull \hbox (badness 5924) in paragraph at lines 31397--31397 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place_p attern=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 31397--31397 \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nfunc_spec=N one\T1/ptm/m/n/10.95 , [441] [442] Underfull \hbox (badness 10000) in paragraph at lines 31617--31617 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [443] Underfull \hbox (badness 10000) in paragraph at lines 31696--31696 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [444] Overfull \hbox (37.40398pt too wide) in paragraph at lines 31794--31794 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (91.124pt too wide) in paragraph at lines 31794--31794 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 31826--31826 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (45.13405pt too wide) in paragraph at lines 31826--31826 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 31842--31842 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (51.70404pt too wide) in paragraph at lines 31842--31842 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) [445] [446] Overfull \hbox (37.40398pt too wide) in paragraph at lines 32066--32066 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , Overfull \hbox (91.124pt too wide) in paragraph at lines 32066--32066 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/pcr/m/n/10.95 ) [447] [448] [449] Overfull \hbox (4.3459pt too wide) in paragraph at lines 32288--32288 []\T1/ptm/m/it/10.95 sparse_grad=False\T1/pcr/m/n/10.95 ) [450] [451] Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 []\T1/ptm/m/it/10.95 idx_list\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place=Fa lse\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 set_instead_of_inc=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 de-stroy-han- Overfull \hbox (4.18106pt too wide) in paragraph at lines 32536--32536 \T1/ptm/m/it/10.95 dler_tolerate_aliased=None\T1/pcr/m/n/10.95 ) [452] [453] [454] [455] [456] Underfull \hbox (badness 10000) in paragraph at lines 32967--32967 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , [457] [458] [459] [460] [461] [462] [463] [464] Underfull \hbox (badness 7522) in paragraph at lines 33712--33716 []\T1/ptm/m/n/10.95 Alternatively, on Linux, you can set the en-vi-ron-ment var i-ables \T1/pcr/m/n/10.95 LD_LIBRARY_PATH\T1/ptm/m/n/10.95 , [465] [466] Underfull \hbox (badness 10000) in paragraph at lines 33863--33864 [][][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_conv()[][]\T1/ptm/m/n/10.95 , [][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn. Underfull \hbox (badness 10000) in paragraph at lines 33866--33867 [][][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_gradweight()[][]\T1/ptm/m/n/10 .95 , [][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn. Underfull \hbox (badness 10000) in paragraph at lines 33869--33870 [][][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn.dnn_gradinput()[][]\T1/ptm/m/n/10. 95 , [][]\T1/pcr/m/sl/10.95 theano.gpuarray.dnn. [467] [468] [469] Underfull \hbox (badness 10000) in paragraph at lines 34142--34144 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [470] [471] Underfull \hbox (badness 10000) in paragraph at lines 34331--34333 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 []\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 run- Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 ning_averages=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in - Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 place_running_mean=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10. 95 in- Underfull \hbox (badness 10000) in paragraph at lines 34387--34387 \T1/ptm/m/it/10.95 place_running_var=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.9 5 in- [472] Underfull \hbox (badness 10000) in paragraph at lines 34427--34427 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 scale\T1/ptm/m/n/1 0.95 , \T1/ptm/m/it/10.95 bias\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep-silon=0 .0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run-ning_average_factor=0.1\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 run- Underfull \hbox (badness 10000) in paragraph at lines 34452--34452 []\T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , [473] Underfull \hbox (badness 10000) in paragraph at lines 34497--34499 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pc r/m/sl/10.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 large\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft_tiling\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , [474] Underfull \hbox (badness 10000) in paragraph at lines 34658--34660 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [475] Underfull \hbox (badness 10000) in paragraph at lines 34697--34697 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=N one\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34711--34713 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 deterministic\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft_tiling\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34735--34735 []\T1/ptm/m/it/10.95 inplace=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=N one\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34749--34751 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 deterministic\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 34749--34751 \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_once\TS1/pcr/m/sl/10.95 '\T1/pcr/ m/sl/10.95 ,\T1/ptm/m/n/10.95 ) ^^U `guess_on_shape_change', `time_once', [476] Underfull \hbox (badness 10000) in paragraph at lines 34814--34815 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 34858--34859 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [477] [478] Underfull \hbox (badness 10000) in paragraph at lines 35019--35021 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [479] Underfull \hbox (badness 10000) in paragraph at lines 35078--35079 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [480] [481] Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 []\T1/ptm/m/it/10.95 dtype\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 hid-den_size\T 1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_layers\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 \T1/ptm/m/it/10.95 rnn_mode\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-put_mode=' linear'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di- Underfull \hbox (badness 10000) in paragraph at lines 35342--35342 \T1/ptm/m/it/10.95 rec-tion_mode='unidirectional'\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 con- Underfull \hbox (badness 10000) in paragraph at lines 35359--35361 []\T1/pcr/b/n/10.95 rnn_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/ sl/10.95 '\T1/pcr/m/sl/10.95 rnn_relu\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 rnn_tanh\TS1/pcr/m/sl/10.95 '\T1/pcr/m/ sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 lstm\TS1/pcr/m/sl/10.95 '\T1 /pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 gru\TS1/pcr/m/sl/10.9 5 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U Underfull \hbox (badness 10000) in paragraph at lines 35376--35378 []\T1/pcr/b/n/10.95 direction_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/ pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 unidirectional\TS1/pcr/m/sl/10.95 '\T1/pcr/m /sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 bidirectional\TS1/pcr/m/sl/ 10.95 '\T1/pcr/m/sl/10.95 }\T1/ptm/m/n/10.95 ) ^^U [482] Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 \T1/ptm/m/it/10.95 mean\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 var\T1/ptm/m/n/10 .95 , \T1/ptm/m/it/10.95 mode='per- Underfull \hbox (badness 10000) in paragraph at lines 35453--35453 \T1/ptm/m/it/10.95 activation'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ep- [483] Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 mode='per-activation'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 ep-silon=0.0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run- Overfull \hbox (1.40036pt too wide) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 ning_average_factor=0.1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35512--35512 \T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 , [484] Underfull \hbox (badness 10000) in paragraph at lines 35606--35606 \T1/ptm/m/it/10.95 work-mem=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 algo=Non e\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pre-ci-sion=None\T1/ptm/m/n/10.95 , [485] Underfull \hbox (badness 10000) in paragraph at lines 35646--35649 []\T1/pcr/b/n/10.95 algo \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 none\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr /m/sl/10.95 '\T1/pcr/m/sl/10.95 small\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 large\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/ 10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 fft\TS1/pcr/m/sl/10.95 '\T1/pcr /m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35646--35649 \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_once\TS1/pcr/m/sl/10.95 '\T1/pcr/ m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 guess_on_shape_change\TS1/ pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 ti me_once\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35651--35655 []\T1/pcr/b/n/10.95 precision \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 as_input_f32\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10. 95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 as_input\TS1/pcr/m/sl/10.95 '\T1/p cr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 float16\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 8113) in paragraph at lines 35675--35675 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 conv _mode='conv'\T1/ptm/m/n/10.95 , [486] Underfull \hbox (badness 10000) in paragraph at lines 35720--35724 []\T1/pcr/b/n/10.95 precision \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m /sl/10.95 '\T1/pcr/m/sl/10.95 as_input_f32\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10. 95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 as_input\TS1/pcr/m/sl/10.95 '\T1/p cr/m/sl/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 float16\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35744--35744 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35752--35752 []\T1/ptm/m/it/10.95 kerns\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 top-grad\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 img_shp\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 35752--35752 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub-s am-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35760--35760 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la-tion=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 35760--35760 \T1/ptm/m/it/10.95 conv_mode='conv'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pre-c i-sion=None\T1/ptm/m/n/10.95 , [487] Underfull \hbox (badness 10000) in paragraph at lines 35768--35768 []\T1/ptm/m/it/10.95 img\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 top-grad\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 kerns_shp\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 35795--35796 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl /10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_exc_pad\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 , [488] [489] [490] Underfull \hbox (badness 10000) in paragraph at lines 36025--36025 \T1/ptm/m/it/10.95 al-low_downcast=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36053--36054 []\T1/pcr/b/n/10.95 with borrow=False and return_internal_type=True does Underfull \hbox (badness 10000) in paragraph at lines 36059--36060 []\T1/pcr/b/n/10.95 in that case, you may get different return types [491 <./plot_fft.png>] Underfull \hbox (badness 10000) in paragraph at lines 36082--36083 []\T1/pcr/b/n/10.95 to this value will be visible to all functions using Underfull \hbox (badness 10000) in paragraph at lines 36136--36136 []\T1/ptm/m/it/10.95 dtype\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 broad-castable \T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 con- [492] [493] [494] [495] Underfull \hbox (badness 10000) in paragraph at lines 36529--36531 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [496] [497] [498] [499] [500] Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 []\T1/ptm/m/it/10.95 value\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 name=None\T1/p tm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 strict=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 al- Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 low_downcast=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 bor-row=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 broad- Underfull \hbox (badness 10000) in paragraph at lines 36995--36995 \T1/ptm/m/it/10.95 castable=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 tar- [501] [502] [503] [504] [505] Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 []\T1/ptm/m/it/10.95 N\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 buf\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 6110) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 load_x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pos\T1/ptm/m/n/ 10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 count\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 man- Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 , Overfull \hbox (14.06978pt too wide) in paragraph at lines 37421--37421 \T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 ) [506] Underfull \hbox (badness 6842) in paragraph at lines 37526--37526 []\T1/ptm/m/it/10.95 N\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 buf\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 stride_x\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 sm_stride\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 write_sm\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 thread-Pos\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 thread- Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 stride_b=''\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 load_b=''\T1/ptm/m/n/10.95 , Overfull \hbox (20.63977pt too wide) in paragraph at lines 37526--37526 \T1/ptm/m/it/10.95 dtype='float32'\T1/pcr/m/n/10.95 ) [507] [508] Overfull \hbox (81.80635pt too wide) in paragraph at lines 37710--37710 []\T1/ptm/m/it/10.95 compute_grad=True\T1/pcr/m/n/10.95 ) [509] [510] Underfull \hbox (badness 10000) in paragraph at lines 37816--37816 []\T1/ptm/m/it/10.95 lower=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 37897--37897 []\T1/ptm/m/it/10.95 A_structure='general'\T1/ptm/m/n/10.95 , [511] [512] Underfull \hbox (badness 10000) in paragraph at lines 38054--38056 []\T1/ptm/m/n/10.95 The com-piler will search the di-rec-to-ries spec-i-fied by the en-vi-ron-ment vari-able [513] Underfull \hbox (badness 10000) in paragraph at lines 38111--38112 []\T1/pcr/b/n/10.95 UPLO \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Specifies whethe r the calculation is done with Underfull \hbox (badness 10000) in paragraph at lines 38177--38177 []\T1/ptm/m/it/10.95 full_matrices=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 c om- [514] [515] Underfull \hbox (badness 10000) in paragraph at lines 38408--38408 []\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 eval_points\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 con-s ider_constant=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dis-con- [516] Underfull \hbox (badness 10000) in paragraph at lines 38454--38454 []\T1/ptm/m/it/10.95 f\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/10. 95 , \T1/ptm/m/it/10.95 eval_points\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dis-c on-nected_outputs='raise'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 re- [517] [518] [519] [520] Underfull \hbox (badness 10000) in paragraph at lines 38885--38885 []\T1/ptm/m/it/10.95 cost\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 con-sider_constant=None\T1/ptm/m/n/10.95 , \T1/ptm/m /it/10.95 dis-con- Underfull \hbox (badness 10000) in paragraph at lines 38891--38892 []\T1/pcr/b/n/10.95 wrt \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Vector (1-dimensi onal tensor) \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 Variable\TS1/pcr/m/sl/10.9 5 ' \T1/pcr/m/sl/10.95 or list [521] Underfull \hbox (badness 10000) in paragraph at lines 38935--38935 []\T1/ptm/m/it/10.95 expression\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 wrt\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 con-sider_constant=None\T1/ptm/m/n/10.95 , \T1 /ptm/m/it/10.95 dis-con- [522] [523] Underfull \hbox (badness 10000) in paragraph at lines 39172--39172 \T1/ptm/m/it/10.95 abs_tol=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 rel_tol=N one\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 mode=None\T1/ptm/m/n/10.95 , [524] Underfull \hbox (badness 10000) in paragraph at lines 39222--39225 []\T1/pcr/b/n/10.95 cast_to_output_type \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 b ool\T1/ptm/m/n/10.95 ) ^^U if the out-put is float32 and [525] [526] Underfull \hbox (badness 10000) in paragraph at lines 39401--39401 []\T1/ptm/m/it/10.95 obj\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 file_handler\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pro-to-col=3\T1/ptm/m/n/10.95 , \T1/ptm/m/it /10.95 per-sis-tent_id=\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 39479--39479 []\T1/ptm/m/it/10.95 file\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pro-to-col=0\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ex- [528] [529] Overfull \vbox (1.6708pt too high) detected at line 39656 [530] [531] Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 []\T1/ptm/m/it/10.95 fct\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-file=None\T1 /ptm/m/n/10.95 , \T1/ptm/m/it/10.95 com-pact=True\T1/ptm/m/n/10.95 , \T1/ptm/m/ it/10.95 for- Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 mat='png'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 with_ids=Fal se\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 high_contrast=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 cond_highlight=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 co l-or-Codes=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 max_label_size=70\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 scan _graphs=False\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 39833--39833 \T1/ptm/m/it/10.95 var_with_name_simple=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 print_output_file=True\T1/ptm/m/n/10.95 , [532] [533] [534] [535] [536] [537] Underfull \hbox (badness 10000) in paragraph at lines 40315--40315 []\T1/ptm/m/it/10.95 size=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 a=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 re-place=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 p=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ndim=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype='int64'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 40341--40342 []\T1/pcr/b/n/10.95 Example \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 p = [[98, 01, 01], [01, 49, 50]] and size=1 Underfull \hbox (badness 10000) in paragraph at lines 40344--40345 []\T1/pcr/b/n/10.95 result in [[0],[2]] When setting size=2, this [538] [539] [540] [541] [542] [543] Overfull \vbox (14.32309pt too high) detected at line 40888 [544] Overfull \vbox (1.72308pt too high) detected at line 40953 [545] [546] [547] [548] [549] [550] [551] [552] [553] [554] [555] [556] [557] [558] [559] Underfull \hbox (badness 10000) in paragraph at lines 41940--41940 []\T1/ptm/m/it/10.95 fn\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 se-quences=[]\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out-puts_info=None\T1/ptm/m/n/10.95 , \T1/pt m/m/it/10.95 non_sequences=[]\T1/ptm/m/n/10.95 , [560] [561] [562] [563] [564] [565] Underfull \hbox (badness 10000) in paragraph at lines 42536--42538 []\T1/pcr/m/n/10.95 Binomial \T1/ptm/m/n/10.95 and \T1/pcr/m/n/10.95 csc_fbinom ial\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 csc_dbinomial csr_fbinomial\T1/ptm/m/n /10.95 , [566] [567] [568] [569] [570] [571] Underfull \hbox (badness 10000) in paragraph at lines 43149--43150 []\T1/pcr/b/n/10.95 create a sparse matrix with the same shape as x. Its [572] Overfull \hbox (121.00287pt too wide) in paragraph at lines 43155--43155 [] Underfull \hbox (badness 10000) in paragraph at lines 43155--43155 [573] [574] [575] [576] [577] [578] [579] [580] [581] [582] [583] [584] Underfull \hbox (badness 10000) in paragraph at lines 44354--44354 []\T1/ptm/m/it/10.95 type\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 owner=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 in-dex=None\T1/ptm/m/n/10.95 , [585] [586] [587] [588] [589] [590] [591] [592] [593] [594] [595] [596] [597] [598] [599] [600] [601] [602] [603] Underfull \hbox (badness 10000) in paragraph at lines 46247--46247 \T1/ptm/m/it/10.95 out_dtype=None\T1/ptm/m/n/10.95 , Overfull \hbox (0.60056pt too wide) in paragraph at lines 46247--46247 \T1/ptm/m/it/10.95 sorted_indices=False\T1/pcr/m/n/10.95 ) [604] [605] [606] [607] [608] [609] [610] Overfull \vbox (0.72517pt too high) detected at line 46910 [611] [612] [613] [614] LaTeX Warning: Hyper reference `extending/graphstructures:tutorial-graphfigure' on page 615 undefined on input line 48001. [615] [616] [617] [618] [619] [620] [621] [622] [623] Overfull \vbox (1.70845pt too high) detected at line 49102 [624] Underfull \hbox (badness 10000) in paragraph at lines 49124--49127 []\T1/pcr/b/n/10.95 axis \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 an int or an ite rable object such as list or Underfull \hbox (badness 10000) in paragraph at lines 49158--49161 []\T1/pcr/b/n/10.95 axis \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 an int or an ite rable object such as list or [625] [626] [627] [628] Underfull \hbox (badness 10000) in paragraph at lines 49529--49530 [629] [630] [631] Underfull \hbox (badness 10000) in paragraph at lines 49764--49766 []\T1/ptm/m/n/10.95 older: Overfull \hbox (1.23325pt too wide) in paragraph at lines 49791--49793 [] [632] Underfull \hbox (badness 10000) in paragraph at lines 49936--49936 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axis=None\T1/ptm/m /n/10.95 , \T1/ptm/m/it/10.95 dtype=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 keep-dims=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n /10.95 , [633] [634] [635] [636] [637] Underfull \hbox (badness 5548) in paragraph at lines 50371--50373 []\T1/ptm/m/n/10.95 This is not a rein-ter-pret cast, but a co-er-cion cast, si m-i-lar to \T1/pcr/m/n/10.95 numpy.asarray(x, [638] [639] [640] [641] [642] [643] Overfull \vbox (1.62054pt too high) detected at line 51049 [644] [645] [646] [647] [648] Underfull \hbox (badness 10000) in paragraph at lines 51390--51393 []\T1/ptm/m/n/10.95 Either cuDNN and the gemm ver-sion can be dis-abled us-ing the Theano flags [649] [650] Underfull \hbox (badness 10000) in paragraph at lines 51520--51524 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 or 6 of int or Underfull \hbox (badness 6741) in paragraph at lines 51526--51530 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 4 or 6 of int or Underfull \hbox (badness 10000) in paragraph at lines 51532--51534 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 51538--51540 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 51541--51545 [] Underfull \hbox (badness 10000) in paragraph at lines 51546--51548 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 51549--51551 [] Underfull \hbox (badness 10000) in paragraph at lines 51552--51555 []\T1/ptm/m/n/10.95 pad Underfull \hbox (badness 10000) in paragraph at lines 51570--51571 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int or [651] Underfull \hbox (badness 10000) in paragraph at lines 51586--51587 []\T1/pcr/b/n/10.95 kwargs \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Any other keyw ord arguments are accepted for Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 out-put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/ 10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor-der _mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51615--51615 \T1/ptm/m/it/10.95 in-put_dilation=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\ T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51634--51636 []\T1/pcr/b/n/10.95 output_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple/li st of len 4 of int or Constant Underfull \hbox (badness 10000) in paragraph at lines 51638--51642 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 4 of int or [652] Underfull \hbox (badness 10000) in paragraph at lines 51717--51721 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or [653] Underfull \hbox (badness 10000) in paragraph at lines 51723--51727 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 51735--51737 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 51738--51742 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 51743--51745 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 51797--51797 []\T1/ptm/m/it/10.95 signals\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sig-nals_shape=None\T1/ptm/m/n/10.95 , \T1/p tm/m/it/10.95 fil- [654] Underfull \hbox (badness 8019) in paragraph at lines 51873--51877 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int, None or [655] Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 sub-sam-ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 51920--51920 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- [656] Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52014--52014 \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , Overfull \hbox (44.07277pt too wide) in paragraph at lines 52024--52024 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (37.98465pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 bor- Overfull \hbox (67.66975pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 sam- Overfull \hbox (17.30025pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 fil- Overfull \hbox (46.51445pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 fil- Overfull \hbox (55.6356pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (54.53018pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 un- Overfull \hbox (51.54047pt too wide) in paragraph at lines 52024--52024 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) [657] Overfull \hbox (50.64276pt too wide) in paragraph at lines 52041--52041 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (44.55464pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 bor- Overfull \hbox (74.23975pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 sam- Overfull \hbox (23.87024pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 fil- Overfull \hbox (53.08444pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 fil- Overfull \hbox (62.2056pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (61.10017pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Overfull \hbox (5.8358pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 un- Overfull \hbox (58.11046pt too wide) in paragraph at lines 52041--52041 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 fil-ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52058--52058 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [658] Overfull \hbox (44.07277pt too wide) in paragraph at lines 52068--52068 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (37.98465pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 bor- Overfull \hbox (67.66975pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 sam- Overfull \hbox (17.30025pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 fil- Overfull \hbox (46.51445pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 fil- Overfull \hbox (55.6356pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (58.36269pt too wide) in paragraph at lines 52068--52068 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Overfull \hbox (50.64276pt too wide) in paragraph at lines 52085--52085 []\T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (44.55464pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 bor- Overfull \hbox (74.23975pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 sam- Overfull \hbox (23.87024pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 fil- Overfull \hbox (53.08444pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 fil- Overfull \hbox (62.2056pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , Overfull \hbox (3.0983pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (64.93268pt too wide) in paragraph at lines 52085--52085 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) [659] Overfull \hbox (10.9274pt too wide) in paragraph at lines 52102--52102 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Overfull \hbox (30.93279pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (24.84467pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 bor- Overfull \hbox (54.52977pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 sam- Overfull \hbox (18.15424pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 fil- Overfull \hbox (33.37447pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 fil- Overfull \hbox (56.4896pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (41.3902pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 un- Overfull \hbox (38.40048pt too wide) in paragraph at lines 52102--52102 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Overfull \hbox (17.49739pt too wide) in paragraph at lines 52166--52166 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Overfull \hbox (37.50278pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (31.41466pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 kshp=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 bor- Overfull \hbox (61.09976pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 sam- Overfull \hbox (24.72423pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 fil- Overfull \hbox (39.94446pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 fil- Overfull \hbox (63.05959pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (47.96019pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 un- Overfull \hbox (44.97047pt too wide) in paragraph at lines 52166--52166 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) [660] Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 []\T1/ptm/m/it/10.95 convdim\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 imshp=None\T1/ptm/m/n/10.95 , Overfull \hbox (8.53983pt too wide) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 ple=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.49965pt too wide) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52230--52230 \T1/ptm/m/it/10.95 un- [661] Underfull \hbox (badness 10000) in paragraph at lines 52262--52264 []\T1/ptm/m/n/10.95 Generates out-put of [662] Underfull \hbox (badness 10000) in paragraph at lines 52284--52286 []\T1/pcr/m/n/10.95 int1\T1/ptm/m/n/10.95 , \T1/pcr/m/n/10.95 int2 Underfull \hbox (badness 5050) in paragraph at lines 52317--52317 []\T1/ptm/m/it/10.95 img\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 kern\T1/ptm/m/n/ 10.95 , \T1/ptm/m/it/10.95 mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 d i-la-tion=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un-shared=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di- rec- Underfull \hbox (badness 10000) in paragraph at lines 52362--52367 []\T1/pcr/b/n/10.95 shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (s ymbolic or numeric) [663] Underfull \hbox (badness 10000) in paragraph at lines 52392--52392 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ex-pected_shape\T1 /ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52424--52424 []\T1/ptm/m/it/10.95 ratio\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 52432--52434 []\T1/pcr/b/n/10.95 ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or Constant /Scalar Theano tensor of int* Underfull \hbox (badness 10000) in paragraph at lines 52455--52455 []\T1/ptm/m/it/10.95 ratio\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nor-mal- Underfull \hbox (badness 10000) in paragraph at lines 52463--52465 []\T1/pcr/b/n/10.95 ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or Constant /Scalar Theano tensor of int* [664] Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ra-tio=None\T1 /ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 frac_ratio=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 batch_size=None\T1/ptm/m/n/10.95 , Overfull \hbox (30.15506pt too wide) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 num_input_channels=None\T1/ptm/m/n/10.95 , Overfull \hbox (6.05402pt too wide) in paragraph at lines 52486--52486 \T1/ptm/m/it/10.95 use_1D_kernel=True\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52501--52506 []\T1/pcr/b/n/10.95 frac_ratio \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tupl e of int or tuple of tuples of [665] Underfull \hbox (badness 10000) in paragraph at lines 52558--52559 []\T1/pcr/b/n/10.95 kshp \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 List/tuple of le ngth \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 convdim\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , indicating the Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 5022) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 in-put_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub- sam- Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 ple=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ter_flip=Tru e\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 fil-ter_dilation=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52583--52583 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 un- Underfull \hbox (badness 10000) in paragraph at lines 52602--52608 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/in t/Constant] * 2 + [Tensor/int/ [666] Overfull \hbox (18.69075pt too wide) in paragraph at lines 52653--52653 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ker- Overfull \hbox (5.52887pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 out- Overfull \hbox (6.14214pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 bor- Overfull \hbox (4.91574pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (47.18211pt too wide) in paragraph at lines 52653--52653 \T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 52658--52661 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52663--52666 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52668--52671 []\T1/pcr/b/n/10.95 output_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 52673--52677 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 52679--52681 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two [667] Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 []\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil-ters\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (1.96985pt too wide) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 bor- Overfull \hbox (8.53983pt too wide) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/1 0.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52727--52727 \T1/ptm/m/it/10.95 un- [668] Underfull \hbox (badness 10000) in paragraph at lines 52754--52761 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/int /Constant] * 2 + [Tensor/int/ Underfull \hbox (badness 10000) in paragraph at lines 52770--52772 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 52798--52801 []\T1/ptm/m/n/10.95 pad in-put [669] Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 put_grad\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.36867pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 bor- Overfull \hbox (15.10982pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 fil- Overfull \hbox (3.07567pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (1.97025pt too wide) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 52863--52863 \T1/ptm/m/it/10.95 un- [670] Underfull \hbox (badness 10000) in paragraph at lines 52894--52896 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 str, int or a tuple of two ints or pairs Underfull \hbox (badness 10000) in paragraph at lines 52922--52925 []\T1/ptm/m/n/10.95 pad in-put [671] Underfull \hbox (badness 10000) in paragraph at lines 53006--53010 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53012--53016 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tu ple/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53024--53026 []\T1/ptm/m/n/10.95 Generates [672] Underfull \hbox (badness 10000) in paragraph at lines 53027--53031 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 53032--53034 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 []\T1/ptm/m/it/10.95 output_grad\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 fil-ters\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 put_shape\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (1.96985pt too wide) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 bor- Overfull \hbox (8.53983pt too wide) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53086--53086 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , [673] Underfull \hbox (badness 10000) in paragraph at lines 53109--53116 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/int /Constant] * 2 + [Tensor/int/ [674] Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 out- Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 put_grad\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (10.36867pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 put_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 bor- Overfull \hbox (15.10982pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 ter_flip=True\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 fil- Overfull \hbox (3.07567pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 ter_dilation=(1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Overfull \hbox (5.80275pt too wide) in paragraph at lines 53204--53204 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53222--53227 []\T1/pcr/b/n/10.95 filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 [None/in t/Constant] * 2 + [Tensor/int/ [675] Underfull \hbox (badness 10000) in paragraph at lines 53314--53314 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , [676] Overfull \hbox (6.26228pt too wide) in paragraph at lines 53360--53360 []\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (30.20963pt too wide) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (18.94273pt too wide) in paragraph at lines 53360--53360 \T1/ptm/m/it/10.95 num_groups=1\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53369--53372 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53374--53377 []\T1/pcr/b/n/10.95 top_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) [677] Underfull \hbox (badness 10000) in paragraph at lines 53379--53383 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53385--53387 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two Underfull \hbox (badness 10000) in paragraph at lines 53393--53394 []\T1/pcr/b/n/10.95 num_groups \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 An int whi ch specifies the number of Underfull \hbox (badness 10000) in paragraph at lines 53396--53397 []\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend Overfull \hbox (45.68224pt too wide) in paragraph at lines 53414--53414 []\T1/ptm/m/it/10.95 kernel_shape\T1/ptm/m/n/10.95 , Overfull \hbox (32.4221pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Overfull \hbox (3.30629pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 bor- Overfull \hbox (31.19571pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Overfull \hbox (3.52524pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 sub- Overfull \hbox (5.9561pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 sam- Overfull \hbox (0.78772pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 di- Underfull \hbox (badness 10000) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 la- Overfull \hbox (8.27748pt too wide) in paragraph at lines 53414--53414 \T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53422--53423 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or N one. Corresponds to the kernel [678] Underfull \hbox (badness 10000) in paragraph at lines 53434--53435 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53437--53438 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Overfull \hbox (12.12076pt too wide) in paragraph at lines 53454--53454 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 bor- Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 sub-sam- Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (36.77962pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 ter_dilation=None\T1/ptm/m/n/10.95 , Overfull \hbox (21.68022pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 num_groups=1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 un- Overfull \hbox (18.6905pt too wide) in paragraph at lines 53454--53454 \T1/ptm/m/it/10.95 shared=False\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53463--53466 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int corresponding to the input Underfull \hbox (badness 10000) in paragraph at lines 53468--53471 []\T1/pcr/b/n/10.95 top_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53473--53477 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53479--53481 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two [679] Underfull \hbox (badness 10000) in paragraph at lines 53487--53488 []\T1/pcr/b/n/10.95 num_groups \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 An int whi ch specifies the number of Underfull \hbox (badness 8019) in paragraph at lines 53490--53491 []\T1/pcr/b/n/10.95 unshared \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Boolean valu e. If true, unshared convolution Overfull \hbox (51.54071pt too wide) in paragraph at lines 53509--53509 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Overfull \hbox (38.9921pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 top_shape\T1/ptm/m/n/10.95 , Overfull \hbox (9.87628pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 bor- Overfull \hbox (37.7657pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 der_mode\T1/ptm/m/n/10.95 , Overfull \hbox (10.09523pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 sub- Overfull \hbox (12.5261pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 sam- Overfull \hbox (7.35771pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 ple\T1/ptm/m/n/10.95 , Overfull \hbox (3.4048pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 di- Overfull \hbox (3.4048pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 la- Overfull \hbox (14.84747pt too wide) in paragraph at lines 53509--53509 \T1/ptm/m/it/10.95 tion\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 10000) in paragraph at lines 53518--53519 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or No ne. Corresponds to the input Underfull \hbox (badness 10000) in paragraph at lines 53530--53531 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53533--53534 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 sub-sam-ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Overfull \hbox (7.76216pt too wide) in paragraph at lines 53550--53550 \T1/ptm/m/it/10.95 ter_dilation=None\T1/pcr/m/n/10.95 ) [680] Underfull \hbox (badness 10000) in paragraph at lines 53555--53558 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53560--53568 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of int (symbolic or numeric) Underfull \hbox (badness 10000) in paragraph at lines 53570--53574 []\T1/pcr/b/n/10.95 border_mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 string, i nt (symbolic or numeric) or Underfull \hbox (badness 10000) in paragraph at lines 53576--53578 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of in t (symbolic or numeric) Its two Underfull \hbox (badness 10000) in paragraph at lines 53583--53584 []\T1/pcr/b/n/10.95 - The shape of the convolution output does not depend Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 []\T1/ptm/m/it/10.95 image_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 ker-nel_shape\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 bor-der_mode\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53601--53601 \T1/ptm/m/it/10.95 sub-sam-ple\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 di-la- Underfull \hbox (badness 10000) in paragraph at lines 53606--53607 []\T1/pcr/b/n/10.95 image_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or No ne. Corresponds to the input [681] Underfull \hbox (badness 10000) in paragraph at lines 53609--53610 []\T1/pcr/b/n/10.95 kernel_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int or N one. Corresponds to the kernel Underfull \hbox (badness 10000) in paragraph at lines 53618--53619 []\T1/pcr/b/n/10.95 subsample \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It mus t correspond to the subsampling Underfull \hbox (badness 10000) in paragraph at lines 53621--53622 []\T1/pcr/b/n/10.95 dilation \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 int. It must correspond to the dilation on Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 depth-wise_fil ters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 num_channels\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 point- Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/p tm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53638--53638 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53662--53666 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 4 of int or [682] Underfull \hbox (badness 10000) in paragraph at lines 53668--53672 []\T1/pcr/b/n/10.95 depthwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 4 of Underfull \hbox (badness 10000) in paragraph at lines 53674--53678 []\T1/pcr/b/n/10.95 pointwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 4 of Underfull \hbox (badness 10000) in paragraph at lines 53687--53689 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 53690--53694 [] Underfull \hbox (badness 10000) in paragraph at lines 53695--53697 []\T1/ptm/m/n/10.95 width, then Underfull \hbox (badness 10000) in paragraph at lines 53698--53700 []\T1/ptm/m/n/10.95 and Underfull \hbox (badness 10000) in paragraph at lines 53705--53708 [] [683] Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 depth-wise_fil ters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 point-wise_filters\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 num_channels\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 point- Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 wise_filter_shape=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 bor-der_mode='valid'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 sub-sam-ple=(1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 1\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 1)\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 53742--53742 \T1/ptm/m/it/10.95 fil-ter_flip=True\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 53766--53770 []\T1/pcr/b/n/10.95 input_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 None, tup le/list of len 5 of int or Underfull \hbox (badness 10000) in paragraph at lines 53772--53776 []\T1/pcr/b/n/10.95 depthwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 5 of Underfull \hbox (badness 10000) in paragraph at lines 53778--53782 []\T1/pcr/b/n/10.95 pointwise_filter_shape \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.9 5 None, tuple/list of len 5 of [684] Underfull \hbox (badness 10000) in paragraph at lines 53791--53793 []\T1/ptm/m/n/10.95 Generates Underfull \hbox (badness 10000) in paragraph at lines 53794--53798 []\T1/ptm/m/n/10.95 then per- Underfull \hbox (badness 10000) in paragraph at lines 53799--53801 []\T1/ptm/m/n/10.95 width, then [685] Underfull \hbox (badness 10000) in paragraph at lines 53930--53931 []\T1/ptm/m/n/10.95 Precision: sig-moid(with or with-out amdlibm) > ul-tra_fast _sigmoid > [686] [687 <./sigmoid_prec.png>] [688] [689] Underfull \hbox (badness 10000) in paragraph at lines 54230--54232 []\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise [690] Underfull \hbox (badness 10000) in paragraph at lines 54270--54272 []\T1/ptm/m/n/10.95 a sym-bolic ten-sor, where the fol-low-ing is ap-plied el-e -men-t-wise [691] [692] Underfull \hbox (badness 10000) in paragraph at lines 54407--54410 []\T1/pcr/b/n/10.95 W2 \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tensor of shape (n _classes, number of features of Underfull \hbox (badness 10000) in paragraph at lines 54415--54420 []\T1/pcr/b/n/10.95 target \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tensor of shap e either (batch_size,) or [693] [694] Underfull \hbox (badness 10000) in paragraph at lines 54538--54538 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 valid\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pc r/m/sl/10.95 '\T1/pcr/m/sl/10.95 ignore_borders\TS1/pcr/m/sl/10.95 '\T1/pcr/m/s l/10.95 , \TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 wrap_centered\TS1/pcr/m/sl/10 .95 '\T1/pcr/m/sl/10.95 , [695] [696] Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 []\T1/ptm/m/it/10.95 inputs\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 gamma\T1/ptm/ m/n/10.95 , \T1/ptm/m/it/10.95 beta\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 axes='per-activation'\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 ep-silon=0.0001\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 run- Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 ning_average_factor=0.1\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 54702--54702 \T1/ptm/m/it/10.95 run-ning_mean=None\T1/ptm/m/n/10.95 , [697] Underfull \hbox (badness 10000) in paragraph at lines 54800--54800 \T1/ptm/m/it/10.95 var\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 axes='per-activati on'\T1/ptm/m/n/10.95 , [698] [699] [700] Underfull \hbox (badness 10000) in paragraph at lines 54995--54997 []\T1/ptm/m/n/10.95 Which blocks [701 <./blocksparse.png>] [702] [703] [704] Overfull \hbox (77.97385pt too wide) in paragraph at lines 55299--55299 []\T1/ptm/m/it/10.95 compute_grad=True\T1/ptm/m/n/10.95 , Overfull \hbox (56.41356pt too wide) in paragraph at lines 55299--55299 \T1/ptm/m/it/10.95 openmp=None\T1/pcr/m/n/10.95 ) Underfull \hbox (badness 5260) in paragraph at lines 55318--55320 []\T1/ptm/m/n/10.95 Raw ran-dom pro-vides the random-number draw-ing func-tion- al-ity, that un-der-lies the friendlier [705] [706] Underfull \hbox (badness 10000) in paragraph at lines 55525--55525 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 n=1\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10 .95 p=0.5\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 55542--55542 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 avg=0.0\T1/ptm/m/n/10.95 , \T1/ptm/m/i t/10.95 std=1.0\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 55559--55559 []\T1/ptm/m/it/10.95 random_state\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 size=No ne\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 low=0\T1/ptm/m/n/10.95 , [707] [708] Overfull \hbox (77.18507pt too wide) in paragraph at lines 55641--55641 []\T1/ptm/m/it/10.95 raw_random.RandomStreamsBase\T1/pcr/m/n/10.95 ) [709] Underfull \hbox (badness 10000) in paragraph at lines 55756--55756 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 fil-ters\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 im-age_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m /it/10.95 fil- Underfull \hbox (badness 10000) in paragraph at lines 55756--55756 \T1/ptm/m/it/10.95 ter_shape=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 bor-der _mode='valid'\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 sub- Underfull \hbox (badness 10000) in paragraph at lines 55766--55767 []\T1/pcr/b/n/10.95 input \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Symbolic theano tensor for images to be Underfull \hbox (badness 10000) in paragraph at lines 55769--55770 []\T1/pcr/b/n/10.95 filters \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 Symbolic thea no tensor for convolution Underfull \hbox (badness 10000) in paragraph at lines 55821--55821 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ws=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 ig-nore_border=None\T1/ptm/m/n/10.95 , [710] Underfull \hbox (badness 6741) in paragraph at lines 55833--55835 []\T1/pcr/b/n/10.95 ws \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of length 2 or theano vector of ints of size Underfull \hbox (badness 10000) in paragraph at lines 55841--55845 []\T1/pcr/b/n/10.95 stride \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of two i nts or theano vector of ints of Underfull \hbox (badness 10000) in paragraph at lines 55852--55855 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 sum\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS 1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , Underfull \hbox (badness 6741) in paragraph at lines 55885--55887 []\T1/pcr/b/n/10.95 patch_size \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of l ength 2 or theano vector of ints Underfull \hbox (badness 10000) in paragraph at lines 55897--55897 []\T1/ptm/m/it/10.95 input\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 ws=None\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 ig-nore_border=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 7558) in paragraph at lines 55897--55897 \T1/ptm/m/it/10.95 stride=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 pad=(0\T1/ ptm/m/n/10.95 , \T1/ptm/m/it/10.95 0\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 0)\T 1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 mode='max'\T1/ptm/m/n/10.95 , [711] Underfull \hbox (badness 6741) in paragraph at lines 55909--55911 []\T1/pcr/b/n/10.95 ws \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of length 3 or theano vector of ints of size Underfull \hbox (badness 10000) in paragraph at lines 55917--55920 []\T1/pcr/b/n/10.95 st \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 tuple of three int s or theano vector of ints of Underfull \hbox (badness 10000) in paragraph at lines 55928--55931 []\T1/pcr/b/n/10.95 mode \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 {\TS1/pcr/m/sl/1 0.95 '\T1/pcr/m/sl/10.95 max\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS1/pcr/ m/sl/10.95 '\T1/pcr/m/sl/10.95 sum\TS1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 , \TS 1/pcr/m/sl/10.95 '\T1/pcr/m/sl/10.95 average_inc_pad\TS1/pcr/m/sl/10.95 '\T1/pc r/m/sl/10.95 , [712] [713] [714] [715] [716] Underfull \hbox (badness 10000) in paragraph at lines 56347--56347 []\T1/ptm/m/it/10.95 input_broadcastable\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 new_order\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in- [717] [718] Underfull \hbox (badness 10000) in paragraph at lines 56514--56514 []\T1/ptm/m/it/10.95 scalar_op\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-place_p attern=None\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 56514--56514 \T1/ptm/m/it/10.95 name=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 nfunc_spec=N one\T1/ptm/m/n/10.95 , [719] [720] [721] Underfull \hbox (badness 10000) in paragraph at lines 56822--56822 []\T1/ptm/m/it/10.95 output_types_preference=None\T1/ptm/m/n/10.95 , [722] Underfull \hbox (badness 10000) in paragraph at lines 56898--56898 []\T1/ptm/m/it/10.95 axis=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype=None \T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 acc_dtype=None\T1/ptm/m/n/10.95 , [723] Underfull \hbox (badness 10000) in paragraph at lines 56990--56990 []\T1/ptm/m/it/10.95 axis=None\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 dtype=None \T1/ptm/m/n/10.95 , [724] [725] [726] [727] [728] [729] [730] [731] [732] Underfull \hbox (badness 10000) in paragraph at lines 57865--57865 []\T1/ptm/m/it/10.95 return_index=False\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 r e-turn_inverse=False\T1/ptm/m/n/10.95 , [733] Underfull \hbox (badness 10000) in paragraph at lines 58021--58021 []\T1/ptm/m/it/10.95 x\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 weights=None\T1/pt m/m/n/10.95 , \T1/ptm/m/it/10.95 min-length=None\T1/ptm/m/n/10.95 , \T1/ptm/m/i t/10.95 as- [734] Underfull \hbox (badness 10000) in paragraph at lines 58037--58038 []\T1/pcr/b/n/10.95 weights \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 array of the same shape as x with Underfull \hbox (badness 10000) in paragraph at lines 58040--58041 []\T1/pcr/b/n/10.95 minlength \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 A minimum n umber of bins for the output Underfull \hbox (badness 10000) in paragraph at lines 58043--58045 []\T1/pcr/b/n/10.95 assert_nonneg \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 A flag that inserts an assert_op to [735] [736] [737] [738] [739] [740] [741] [742] [743] [744] [745] Underfull \hbox (badness 10000) in paragraph at lines 59111--59111 []\T1/ptm/m/it/10.95 main\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 in-verse\T1/ptm /m/n/10.95 , \T1/ptm/m/it/10.95 re-cip-ro-cal\T1/ptm/m/n/10.95 , \T1/ptm/m/it/1 0.95 cal-cu-late\T1/ptm/m/n/10.95 , [746] [747] [748] [749] [750] [751] [752] Underfull \hbox (badness 10000) in paragraph at lines 59738--59740 []\T1/pcr/b/n/10.95 override \T1/ptm/m/n/10.95 (\T1/pcr/m/sl/10.95 If False, it mean r is a new object in the [753] Underfull \hbox (badness 10000) in paragraph at lines 59855--59857 \T1/ptm/m/n/10.95 Apply as many times as re-quired the op-ti-miza-tion lo-cal_u seless_rebroadcast and lo- [754] Underfull \hbox (badness 10000) in paragraph at lines 59977--59977 []\T1/ptm/m/it/10.95 OP\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 max_input_fct=] [774] [775] [776] [777] [778] [779] [780] [781] Underfull \hbox (badness 10000) in paragraph at lines 62480--62480 []\T1/ptm/m/it/10.95 type\T1/ptm/m/n/10.95 , \T1/ptm/m/it/10.95 owner=None\T1/p tm/m/n/10.95 , \T1/ptm/m/it/10.95 in- [782] [783] Underfull \hbox (badness 10000) in paragraph at lines 62676--62680 []\T1/ptm/m/n/10.95 Theano [784] Underfull \hbox (badness 10000) in paragraph at lines 62849--62851 []\T1/ptm/m/n/10.95 Currently only vari-able cre-ated by Ad-vanced-Sub-ten-sor1 is sup-ported. i.e. [785] [786] [787] [788] [789] Underfull \hbox (badness 10000) in paragraph at lines 63154--63155 []\T1/ptm/m/n/10.95 ImportError: (`/home/Nick/.theano/compiledir_Linux-2.6.35-3 1-generic-x86_64-with- Underfull \hbox (badness 10000) in paragraph at lines 63154--63155 \T1/ptm/m/n/10.95 Ubuntu-10.10-maverick^^U2.6.6/tmpIhWJaI/0c99c52c82f7ddc775109 a06ca04b360.so: un-de- [790] [791] [792] [793] [794] [795] [796] [797] [798] [799] [800] [801] [802] Underfull \hbox (badness 10000) in paragraph at lines 64192--64193 []\T1/pcr/m/n/10.95 theano.compile.debugmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 Unix, Win- Underfull \hbox (badness 10000) in paragraph at lines 64196--64197 []\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 Unix, [803] Underfull \hbox (badness 10000) in paragraph at lines 64238--64239 []\T1/pcr/m/n/10.95 theano.tensor.nnet.abstract_conv\T1/ptm/m/n/10.95 , Underfull \hbox (badness 10000) in paragraph at lines 64241--64242 []\T1/pcr/m/n/10.95 theano.tensor.nnet.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 Unix, Underfull \hbox (badness 10000) in paragraph at lines 64245--64246 []\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams [804] (./theano.ind Overfull \hbox (27.05162pt too wide) in paragraph at lines 10--12 []\T1/pcr/m/n/10.95 __call__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function_module.Function Overfull \hbox (20.6017pt too wide) in paragraph at lines 12--14 []\T1/pcr/m/n/10.95 __call__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.d3v iz.formatting.PyDotFormatter Overfull \hbox (18.07324pt too wide) in paragraph at lines 19--21 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.debugmode.DebugMode Underfull \hbox (badness 10000) in paragraph at lines 21--22 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function.In Underfull \hbox (badness 10000) in paragraph at lines 22--23 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function.Out Overfull \hbox (34.7492pt too wide) in paragraph at lines 24--26 []\T1/pcr/m/n/10.95 __init__() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.sharedvalue.SharedVariable Underfull \hbox (badness 10000) in paragraph at lines 31--32 []\T1/pcr/m/n/10.95 _tensor_py_operators \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 38--40 []\T1/pcr/m/n/10.95 abs_rel_errors() Underfull \hbox (badness 10000) in paragraph at lines 38--40 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gradient.numeric_grad method\T1/pt m/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 40--42 []\T1/pcr/m/n/10.95 AbstractConv \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 42--44 []\T1/pcr/m/n/10.95 AbstractConv2d \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 44--46 []\T1/pcr/m/n/10.95 AbstractConv2d_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in paragraph at lines 46--48 []\T1/pcr/m/n/10.95 AbstractConv2d_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 48--50 []\T1/pcr/m/n/10.95 AbstractConv3d \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 50--52 []\T1/pcr/m/n/10.95 AbstractConv3d_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 class in Underfull \hbox (badness 10000) in paragraph at lines 52--54 []\T1/pcr/m/n/10.95 AbstractConv3d_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 54--56 []\T1/pcr/m/n/10.95 AbstractConv_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 56--58 []\T1/pcr/m/n/10.95 AbstractConv_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 62--64 []\T1/pcr/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 62--64 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.linalg.ops.HintsOptimizer Underfull \hbox (badness 10000) in paragraph at lines 64--66 []\T1/pcr/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 64--66 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.FusionOptimizer Underfull \hbox (badness 10000) in paragraph at lines 66--68 []\T1/pcr/m/n/10.95 add_requirements() Overfull \hbox (10.54869pt too wide) in paragraph at lines 66--68 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.InplaceElemwiseOptimize r Underfull \hbox (badness 10000) in paragraph at lines 68--70 []\T1/pcr/m/n/10.95 add_requirements() Underfull \hbox (badness 10000) in paragraph at lines 68--70 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.ShapeOptimizer [805] Underfull \hbox (badness 10000) in paragraph at lines 72--74 []\T1/pcr/m/n/10.95 add_to_zview() Overfull \hbox (9.78305pt too wide) in paragraph at lines 72--74 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 78--79 []\T1/pcr/m/n/10.95 age_thresh_use \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fi g.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 80--81 []\T1/pcr/m/n/10.95 algo_bwd_data \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.dnn.conv at- Underfull \hbox (badness 7030) in paragraph at lines 91--92 []\T1/pcr/m/n/10.95 allow_output_prealloc \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig.config.scan Underfull \hbox (badness 10000) in paragraph at lines 92--93 []\T1/pcr/m/n/10.95 alpha_merge() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 105--106 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarr ay.dnn.NoCuDNNRaise Underfull \hbox (badness 10000) in paragraph at lines 106--107 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarr ay.dnn.RNNBlock Overfull \hbox (7.2207pt too wide) in paragraph at lines 107--109 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbo x.linalg.ops.HintsOptimizer Underfull \hbox (badness 10000) in paragraph at lines 109--110 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.FusionOptimizer Overfull \hbox (18.61914pt too wide) in paragraph at lines 110--112 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.InplaceElemwiseOptimizer Underfull \hbox (badness 10000) in paragraph at lines 112--113 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.ShapeOptimizer Underfull \hbox (badness 10000) in paragraph at lines 113--114 []\T1/pcr/m/n/10.95 apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .opt.UnShapeOptimizer Overfull \hbox (33.74168pt too wide) in paragraph at lines 114--116 []\T1/pcr/m/n/10.95 apply_colors \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.d 3viz.formatting.PyDotFormatter Underfull \hbox (badness 10000) in paragraph at lines 116--117 []\T1/pcr/m/n/10.95 apply_rebroadcast_opt() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 118--119 []\T1/pcr/m/n/10.95 argmax() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 120--121 []\T1/pcr/m/n/10.95 argmin() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 6125) in paragraph at lines 121--123 []\T1/pcr/m/n/10.95 argsort() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 123--125 []\T1/pcr/m/n/10.95 as_gpuarray_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 127--129 []\T1/pcr/m/n/10.95 as_sparse_or_tensor_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 129--130 []\T1/pcr/m/n/10.95 as_sparse_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 131--132 []\T1/pcr/m/n/10.95 as_tensor_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 133--135 []\T1/pcr/m/n/10.95 assert_conv_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 137--139 []\T1/pcr/m/n/10.95 assert_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 139--140 []\T1/pcr/m/n/10.95 astype() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 145--146 []\T1/pcr/m/n/10.95 BadDestroyMap \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n [806] Underfull \hbox (badness 10000) in paragraph at lines 146--147 []\T1/pcr/m/n/10.95 BadOptimization \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 147--148 []\T1/pcr/m/n/10.95 BadThunkOutput \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 148--149 []\T1/pcr/m/n/10.95 BadViewMap \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 152--154 []\T1/pcr/m/n/10.95 BaseAbstractConv \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 154--155 []\T1/pcr/m/n/10.95 BaseGpuCorr3dMM \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 156--158 []\T1/pcr/m/n/10.95 batch_normalization() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 163--164 []\T1/pcr/m/n/10.95 batched_tensordot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 165--167 []\T1/pcr/m/n/10.95 bilinear_kernel_1D() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 167--169 []\T1/pcr/m/n/10.95 bilinear_kernel_2D() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 169--171 []\T1/pcr/m/n/10.95 bilinear_upsampling() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 171--173 []\T1/pcr/m/n/10.95 binary_crossentropy() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 175--176 []\T1/pcr/m/n/10.95 binomial() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 182--184 []\T1/pcr/m/n/10.95 border_mode_to_pad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 5652) in paragraph at lines 185--186 []\T1/pcr/m/n/10.95 borrow \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function.Out at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 186--187 []\T1/pcr/m/n/10.95 broadcast_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Overfull \hbox (22.05878pt too wide) in paragraph at lines 187--189 []\T1/pcr/m/n/10.95 broadcastable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Overfull \hbox (19.14554pt too wide) in paragraph at lines 189--191 []\T1/pcr/m/n/10.95 broadcastable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. tensor._tensor_py_operators Overfull \hbox (9.70728pt too wide) in paragraph at lines 197--199 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 199--200 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 200--201 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 201--202 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (8.9188pt too wide) in paragraph at lines 203--204 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 204--206 []\T1/pcr/m/n/10.95 c_cleanup() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 207--209 []\T1/pcr/m/n/10.95 c_cleanup_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 207--209 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 211--212 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.DeepCopyOp Underfull \hbox (badness 10000) in paragraph at lines 212--213 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.Rebroadcast Underfull \hbox (badness 10000) in paragraph at lines 213--214 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.Shape method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 215--216 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compi le.ops.SpecifyShape [807] Underfull \hbox (badness 10000) in paragraph at lines 217--218 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuAlloc Overfull \hbox (20.16408pt too wide) in paragraph at lines 218--220 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuAllocEmpty Overfull \hbox (19.57288pt too wide) in paragraph at lines 220--222 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 222--223 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuEye Overfull \hbox (12.99205pt too wide) in paragraph at lines 223--225 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuFromHost Underfull \hbox (badness 10000) in paragraph at lines 225--226 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuJoin Overfull \hbox (6.17024pt too wide) in paragraph at lines 226--228 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuReshape Underfull \hbox (badness 10000) in paragraph at lines 228--229 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.GpuSplit Overfull \hbox (12.99205pt too wide) in paragraph at lines 230--232 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.basic_ops.HostFromGpu Overfull \hbox (47.38577pt too wide) in paragraph at lines 233--235 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorr3dMM_gradInputs Overfull \hbox (54.28418pt too wide) in paragraph at lines 235--237 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorr3dMM_gradWeights Underfull \hbox (badness 10000) in paragraph at lines 237--238 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorrMM Overfull \hbox (36.43579pt too wide) in paragraph at lines 238--240 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorrMM_gradInputs Overfull \hbox (43.3342pt too wide) in paragraph at lines 240--242 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuCorrMM_gradWeights Underfull \hbox (badness 10000) in paragraph at lines 242--243 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuDot22 Underfull \hbox (badness 10000) in paragraph at lines 243--244 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuGemm Underfull \hbox (badness 10000) in paragraph at lines 245--246 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuGemv Underfull \hbox (badness 10000) in paragraph at lines 246--247 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.blas.GpuGer Underfull \hbox (badness 10000) in paragraph at lines 247--248 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.dnn.DnnVersion Overfull \hbox (2.25044pt too wide) in paragraph at lines 248--249 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.dnn.GpuDnnPoolDesc Overfull \hbox (31.55196pt too wide) in paragraph at lines 249--251 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuCAReduceCPY Overfull \hbox (35.19838pt too wide) in paragraph at lines 251--253 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuCAReduceCuda Overfull \hbox (7.22098pt too wide) in paragraph at lines 253--254 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 255--256 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.elemwise.GpuErfinv Overfull \hbox (36.26048pt too wide) in paragraph at lines 256--258 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.neighbours.GpuImages2Neibs Overfull \hbox (111.65028pt too wide) in paragraph at lines 258--260 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (133.14497pt too wide) in paragraph at lines 260--262 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 262--263 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuSoftmax Overfull \hbox (18.95961pt too wide) in paragraph at lines 263--265 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.nnet.GpuSoftmaxWithBias Overfull \hbox (73.07405pt too wide) in paragraph at lines 265--267 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (104.53331pt too wide) in paragraph at lines 267--269 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (59.09103pt too wide) in paragraph at lines 269--271 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuAdvancedSubtensor1 Overfull \hbox (10.44048pt too wide) in paragraph at lines 271--273 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 273--274 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandb ox.rng_mrg.DotModulo Overfull \hbox (23.14203pt too wide) in paragraph at lines 275--277 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spars e.basic.StructuredDotGradCSC Overfull \hbox (22.5289pt too wide) in paragraph at lines 277--279 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spars e.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 279--280 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.elemwise.CAReduce Underfull \hbox (badness 10000) in paragraph at lines 280--281 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.elemwise.Elemwise Overfull \hbox (8.73169pt too wide) in paragraph at lines 281--283 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.elemwise.MulWithoutZeros Overfull \hbox (4.1441pt too wide) in paragraph at lines 283--285 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 285--286 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.extra_ops.CumOp Overfull \hbox (5.9836pt too wide) in paragraph at lines 286--288 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.extra_ops.SearchsortedOp [808] Underfull \hbox (badness 10000) in paragraph at lines 290--291 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed _list.basic.GetItem Underfull \hbox (badness 10000) in paragraph at lines 291--292 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed _list.basic.Length Underfull \hbox (badness 10000) in paragraph at lines 292--293 []\T1/pcr/m/n/10.95 c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed _list.basic.Reverse Underfull \hbox (badness 10000) in paragraph at lines 294--295 []\T1/pcr/m/n/10.95 c_code_cache_version() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 CLink-er-Type Underfull \hbox (badness 10000) in paragraph at lines 296--298 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 296--298 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.DeepCopyOp Underfull \hbox (badness 10000) in paragraph at lines 298--300 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 300--302 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 300--302 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.Shape method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 302--304 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 302--304 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.Shape_i method\T1/ptm/ m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 304--306 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 304--306 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape Underfull \hbox (badness 10000) in paragraph at lines 306--308 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 306--308 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.ViewOp method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 308--310 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 308--310 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 310--312 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 310--312 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CDataType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 312--314 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 312--314 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CEnumType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 314--316 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 314--316 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 316--318 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 316--318 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.EnumType method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 318--320 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 320--322 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 320--322 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAlloc Underfull \hbox (badness 10000) in paragraph at lines 322--324 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (5.52364pt too wide) in paragraph at lines 322--324 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 324--326 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (4.93243pt too wide) in paragraph at lines 324--326 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 326--328 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 326--328 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuEye Underfull \hbox (badness 10000) in paragraph at lines 328--330 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 328--330 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuFromHost Underfull \hbox (badness 10000) in paragraph at lines 330--332 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 330--332 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuJoin Underfull \hbox (badness 10000) in paragraph at lines 332--334 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 332--334 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuReshape Underfull \hbox (badness 10000) in paragraph at lines 334--336 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 334--336 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuSplit Underfull \hbox (badness 10000) in paragraph at lines 336--338 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 336--338 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuToGpu Underfull \hbox (badness 10000) in paragraph at lines 338--340 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 338--340 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.HostFromGpu Underfull \hbox (badness 10000) in paragraph at lines 340--342 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (0.66197pt too wide) in paragraph at lines 340--342 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM Underfull \hbox (badness 10000) in paragraph at lines 342--344 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 342--344 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 344--346 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 346--348 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 348--350 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 348--350 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGemmBatch Underfull \hbox (badness 10000) in paragraph at lines 350--352 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 352--354 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 352--354 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.GpuGer method\T1/ptm /m/n/10.95 ), [809] Underfull \hbox (badness 10000) in paragraph at lines 354--356 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 354--356 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnBase method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 356--358 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 356--358 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 358--360 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 358--360 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 360--362 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 360--362 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Underfull \hbox (badness 10000) in paragraph at lines 362--364 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 362--364 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 364--366 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (21.62004pt too wide) in paragraph at lines 364--366 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.neighbours.GpuImages2Neib s Underfull \hbox (badness 10000) in paragraph at lines 366--368 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (97.00984pt too wide) in paragraph at lines 366--368 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuCrossentropySoftm ax1HotWithBiasDx Underfull \hbox (badness 10000) in paragraph at lines 368--370 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (118.50453pt too wide) in paragraph at lines 368--370 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuCrossentropySoftm axArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 370--372 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 370--372 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmax Underfull \hbox (badness 10000) in paragraph at lines 372--374 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (4.31917pt too wide) in paragraph at lines 372--374 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuSoftmaxWithBias Underfull \hbox (badness 10000) in paragraph at lines 374--376 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (58.43361pt too wide) in paragraph at lines 374--376 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 376--378 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (89.89287pt too wide) in paragraph at lines 376--378 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 378--380 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (44.45059pt too wide) in paragraph at lines 378--380 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedSubt ensor1 Underfull \hbox (badness 10000) in paragraph at lines 380--382 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (9.78305pt too wide) in paragraph at lines 380--382 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 382--384 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 382--384 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 384--386 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 384--386 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 386--388 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 386--388 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 388--390 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 388--390 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.DotModulo Underfull \hbox (badness 10000) in paragraph at lines 390--392 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 390--392 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 392--394 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (8.50159pt too wide) in paragraph at lines 392--394 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSC Underfull \hbox (badness 10000) in paragraph at lines 394--396 []\T1/pcr/m/n/10.95 c_code_cache_version() Overfull \hbox (7.88846pt too wide) in paragraph at lines 394--396 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 396--398 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 396--398 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.MulWithoutZeros Underfull \hbox (badness 10000) in paragraph at lines 398--400 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 398--400 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Prod method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 400--402 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 400--402 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 402--404 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 404--406 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 404--406 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 406--408 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 408--410 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 408--410 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.MakeVector method\T1/pt m/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 410--412 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 410--412 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Append method\T1/ ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 412--414 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 414--416 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 414--416 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Insert method\T1/ ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 416--418 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 10000) in paragraph at lines 416--418 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Length method\T1/ ptm/m/n/10.95 ), [810] Underfull \hbox (badness 10000) in paragraph at lines 418--420 []\T1/pcr/m/n/10.95 c_code_cache_version() Underfull \hbox (badness 6125) in paragraph at lines 418--420 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.typed_list.basic.Reverse method\T1 /ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 420--421 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() \T1/ptm/m/n/10.95 (\T1/ptm/m/i t/10.95 Op Underfull \hbox (badness 10000) in paragraph at lines 421--423 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Overfull \hbox (12.44383pt too wide) in paragraph at lines 421--423 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.CGpuKernelBase Underfull \hbox (badness 10000) in paragraph at lines 423--425 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Overfull \hbox (16.91151pt too wide) in paragraph at lines 423--425 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY Underfull \hbox (badness 10000) in paragraph at lines 425--427 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Overfull \hbox (20.55794pt too wide) in paragraph at lines 425--427 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 10000) in paragraph at lines 427--429 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Underfull \hbox (badness 10000) in paragraph at lines 427--429 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.CAReduce Underfull \hbox (badness 10000) in paragraph at lines 429--431 []\T1/pcr/m/n/10.95 c_code_cache_version_apply() Underfull \hbox (badness 10000) in paragraph at lines 429--431 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 432--434 []\T1/pcr/m/n/10.95 c_code_helper() Overfull \hbox (0.66197pt too wide) in paragraph at lines 432--434 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM Underfull \hbox (badness 10000) in paragraph at lines 434--436 []\T1/pcr/m/n/10.95 c_code_helper() Underfull \hbox (badness 10000) in paragraph at lines 434--436 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 436--438 []\T1/pcr/m/n/10.95 c_code_reduce_01X() Overfull \hbox (20.55794pt too wide) in paragraph at lines 436--438 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 10000) in paragraph at lines 440--442 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 440--442 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 442--443 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 442--443 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CDataType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 443--444 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 443--444 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnBase method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 444--446 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 444--446 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 446--448 []\T1/pcr/m/n/10.95 c_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 446--448 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Overfull \hbox (9.70728pt too wide) in paragraph at lines 450--452 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 452--453 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 453--454 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 454--455 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (8.9188pt too wide) in paragraph at lines 456--457 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 457--459 []\T1/pcr/m/n/10.95 c_declare() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 460--461 []\T1/pcr/m/n/10.95 c_element_type() Underfull \hbox (badness 10000) in paragraph at lines 460--461 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 461--463 []\T1/pcr/m/n/10.95 c_element_type() Underfull \hbox (badness 10000) in paragraph at lines 461--463 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Overfull \hbox (9.70728pt too wide) in paragraph at lines 464--466 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 466--467 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 467--468 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CEnumType Underfull \hbox (badness 10000) in paragraph at lines 468--469 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 469--470 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (8.9188pt too wide) in paragraph at lines 471--472 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 472--474 []\T1/pcr/m/n/10.95 c_extract() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 474--475 []\T1/pcr/m/n/10.95 c_extract_out() Underfull \hbox (badness 10000) in paragraph at lines 474--475 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CLinkerType method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 477--479 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 477--479 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType [811] Underfull \hbox (badness 10000) in paragraph at lines 480--482 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (5.52364pt too wide) in paragraph at lines 480--482 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 482--484 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (4.93243pt too wide) in paragraph at lines 482--484 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 484--486 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 484--486 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuFromHost Underfull \hbox (badness 10000) in paragraph at lines 486--488 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 486--488 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuSplit Underfull \hbox (badness 10000) in paragraph at lines 488--490 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (0.66197pt too wide) in paragraph at lines 488--490 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorr3dMM Underfull \hbox (badness 10000) in paragraph at lines 490--492 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 490--492 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 492--493 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 492--493 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.blas.BlasOp method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 493--494 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 493--494 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnBase method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 494--496 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 494--496 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 496--498 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 496--498 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 498--500 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 498--500 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Underfull \hbox (badness 10000) in paragraph at lines 500--502 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 500--502 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase Underfull \hbox (badness 10000) in paragraph at lines 502--504 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (118.50453pt too wide) in paragraph at lines 502--504 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.nnet.GpuCrossentropySoftm axArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 504--506 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (58.43361pt too wide) in paragraph at lines 504--506 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 506--508 []\T1/pcr/m/n/10.95 c_header_dirs() Overfull \hbox (89.89287pt too wide) in paragraph at lines 506--508 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 508--510 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 508--510 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 510--512 []\T1/pcr/m/n/10.95 c_header_dirs() Underfull \hbox (badness 10000) in paragraph at lines 510--512 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuContextType Overfull \hbox (9.70728pt too wide) in paragraph at lines 514--516 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 516--517 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CDataType Overfull \hbox (11.89706pt too wide) in paragraph at lines 517--519 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAlloc Overfull \hbox (39.87405pt too wide) in paragraph at lines 519--521 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAllocEmpty Overfull \hbox (39.28285pt too wide) in paragraph at lines 521--523 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuContiguous Overfull \hbox (32.70203pt too wide) in paragraph at lines 523--525 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuFromHost Overfull \hbox (7.36388pt too wide) in paragraph at lines 525--527 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuJoin Overfull \hbox (8.86389pt too wide) in paragraph at lines 527--529 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuSplit Overfull \hbox (35.01239pt too wide) in paragraph at lines 529--531 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.BaseGpuCorr3dMM Overfull \hbox (24.06241pt too wide) in paragraph at lines 531--533 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.BaseGpuCorrMM Underfull \hbox (badness 10000) in paragraph at lines 533--534 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.BlasOp Overfull \hbox (17.19707pt too wide) in paragraph at lines 534--535 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemmBatch Underfull \hbox (badness 10000) in paragraph at lines 535--536 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.DnnBase Overfull \hbox (24.82932pt too wide) in paragraph at lines 537--539 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvDesc Overfull \hbox (21.96042pt too wide) in paragraph at lines 539--541 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnPoolDesc Overfull \hbox (54.90836pt too wide) in paragraph at lines 541--543 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuCAReduceCuda Overfull \hbox (26.93095pt too wide) in paragraph at lines 543--545 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuElemwise Overfull \hbox (16.75864pt too wide) in paragraph at lines 545--547 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuErfcinv Overfull \hbox (11.28392pt too wide) in paragraph at lines 547--549 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuErfinv Overfull \hbox (25.00443pt too wide) in paragraph at lines 549--551 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaBase [812] Overfull \hbox (55.97046pt too wide) in paragraph at lines 551--553 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.neighbours.GpuImages2Neibs Overfull \hbox (131.36026pt too wide) in paragraph at lines 553--555 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (152.85495pt too wide) in paragraph at lines 555--557 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Overfull \hbox (38.66959pt too wide) in paragraph at lines 558--560 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuSoftmaxWithBias Overfull \hbox (92.78403pt too wide) in paragraph at lines 560--562 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (124.24329pt too wide) in paragraph at lines 562--564 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (44.13347pt too wide) in paragraph at lines 564--566 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Overfull \hbox (8.9188pt too wide) in paragraph at lines 566--567 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 567--569 []\T1/pcr/m/n/10.95 c_headers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 572--573 []\T1/pcr/m/n/10.95 c_init() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.p arams_type.ParamsType Underfull \hbox (badness 6675) in paragraph at lines 575--576 []\T1/pcr/m/n/10.95 c_init() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.t ype.EnumType method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 577--578 []\T1/pcr/m/n/10.95 c_init() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Overfull \hbox (22.84726pt too wide) in paragraph at lines 581--583 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 583--584 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.blas.BlasOp Overfull \hbox (22.05878pt too wide) in paragraph at lines 584--586 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Overfull \hbox (30.52295pt too wide) in paragraph at lines 586--588 []\T1/pcr/m/n/10.95 c_init_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 590--592 []\T1/pcr/m/n/10.95 c_init_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 590--592 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 592--594 []\T1/pcr/m/n/10.95 c_init_code_struct() Overfull \hbox (58.43361pt too wide) in paragraph at lines 592--594 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 594--596 []\T1/pcr/m/n/10.95 c_init_code_struct() Overfull \hbox (9.78305pt too wide) in paragraph at lines 594--596 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 596--598 []\T1/pcr/m/n/10.95 c_init_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 596--598 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 598--599 []\T1/pcr/m/n/10.95 c_is_simple() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.CLinkerType Overfull \hbox (16.27727pt too wide) in paragraph at lines 601--603 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 603--604 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 604--605 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.DnnBase Overfull \hbox (0.71742pt too wide) in paragraph at lines 605--606 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.DnnVersion Overfull \hbox (31.3993pt too wide) in paragraph at lines 606--608 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.GpuDnnConvDesc Overfull \hbox (28.53041pt too wide) in paragraph at lines 608--610 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.dnn.GpuDnnPoolDesc Overfull \hbox (31.57442pt too wide) in paragraph at lines 610--612 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.linalg.GpuMagmaBase Overfull \hbox (15.48878pt too wide) in paragraph at lines 612--614 []\T1/pcr/m/n/10.95 c_lib_dirs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.type.GpuArrayType Overfull \hbox (22.84726pt too wide) in paragraph at lines 616--618 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 618--619 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.CDataType Overfull \hbox (7.28741pt too wide) in paragraph at lines 620--621 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.dnn.DnnVersion Overfull \hbox (37.9693pt too wide) in paragraph at lines 621--623 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.dnn.GpuDnnConvDesc Overfull \hbox (35.1004pt too wide) in paragraph at lines 623--625 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.dnn.GpuDnnPoolDesc [813] Overfull \hbox (38.14441pt too wide) in paragraph at lines 625--627 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.linalg.GpuMagmaBase Overfull \hbox (22.05878pt too wide) in paragraph at lines 627--629 []\T1/pcr/m/n/10.95 c_libraries() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 629--630 []\T1/pcr/m/n/10.95 c_literal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.CLinkerType Underfull \hbox (badness 10000) in paragraph at lines 632--634 []\T1/pcr/m/n/10.95 c_no_compile_args() Underfull \hbox (badness 10000) in paragraph at lines 632--634 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 637--639 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 637--639 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 639--640 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 639--640 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CDataType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 640--641 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 640--641 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.CEnumType method\T1/ptm/m /n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 642--644 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 642--644 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuJoin Underfull \hbox (badness 10000) in paragraph at lines 644--646 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 644--646 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 646--648 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (20.55794pt too wide) in paragraph at lines 646--648 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 10000) in paragraph at lines 648--650 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (21.62004pt too wide) in paragraph at lines 648--650 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.neighbours.GpuImages2Neib s Underfull \hbox (badness 10000) in paragraph at lines 650--652 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (44.45059pt too wide) in paragraph at lines 650--652 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedSubt ensor1 Underfull \hbox (badness 10000) in paragraph at lines 652--654 []\T1/pcr/m/n/10.95 c_support_code() Overfull \hbox (9.78305pt too wide) in paragraph at lines 652--654 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 654--656 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 654--656 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 656--658 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 656--658 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 658--660 []\T1/pcr/m/n/10.95 c_support_code() Underfull \hbox (badness 10000) in paragraph at lines 658--660 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 662--664 []\T1/pcr/m/n/10.95 c_support_code_apply() Underfull \hbox (badness 10000) in paragraph at lines 662--664 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile.ops.SpecifyShape Underfull \hbox (badness 10000) in paragraph at lines 664--666 []\T1/pcr/m/n/10.95 c_support_code_apply() Underfull \hbox (badness 10000) in paragraph at lines 664--666 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 667--669 []\T1/pcr/m/n/10.95 c_support_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 667--669 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 669--671 []\T1/pcr/m/n/10.95 c_support_code_struct() Overfull \hbox (58.43361pt too wide) in paragraph at lines 669--671 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1 Underfull \hbox (badness 10000) in paragraph at lines 671--673 []\T1/pcr/m/n/10.95 c_support_code_struct() Overfull \hbox (89.89287pt too wide) in paragraph at lines 671--673 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuAdvancedIncS ubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 673--675 []\T1/pcr/m/n/10.95 c_support_code_struct() Overfull \hbox (9.78305pt too wide) in paragraph at lines 673--675 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 675--677 []\T1/pcr/m/n/10.95 c_support_code_struct() Underfull \hbox (badness 10000) in paragraph at lines 675--677 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 681--682 []\T1/pcr/m/n/10.95 c_sync() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 682--683 []\T1/pcr/m/n/10.95 c_to_string() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.EnumType Underfull \hbox (badness 10000) in paragraph at lines 687--688 []\T1/pcr/m/n/10.95 CAReduceDtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n [814] Underfull \hbox (badness 10000) in paragraph at lines 694--696 []\T1/pcr/m/n/10.95 causal_conv1d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 700--701 []\T1/pcr/m/n/10.95 CGpuKernelBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 701--702 []\T1/pcr/m/n/10.95 change_input() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano .gof.FunctionGraph Underfull \hbox (badness 10000) in paragraph at lines 702--704 []\T1/pcr/m/n/10.95 check_and_convert_boolean_masks() Underfull \hbox (badness 10000) in paragraph at lines 702--704 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule theano.gpuarray.subtensor\T1/p tm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 706--708 []\T1/pcr/m/n/10.95 check_for_x_over_absX() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 708--709 []\T1/pcr/m/n/10.95 check_integrity() Underfull \hbox (badness 10000) in paragraph at lines 708--709 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 709--711 []\T1/pcr/m/n/10.95 check_preallocated_output \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 con- Underfull \hbox (badness 7522) in paragraph at lines 711--713 []\T1/pcr/m/n/10.95 check_preallocated_output_ndim \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 con- Overfull \hbox (41.24295pt too wide) in paragraph at lines 715--717 []\T1/pcr/m/n/10.95 choice() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandb ox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 720--721 []\T1/pcr/m/n/10.95 choose() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 726--727 []\T1/pcr/m/n/10.95 clip() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 734--735 []\T1/pcr/m/n/10.95 clone() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.ty pe.PureType.Constant Underfull \hbox (badness 10000) in paragraph at lines 735--736 []\T1/pcr/m/n/10.95 clone() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.ty pe.PureType.Variable Underfull \hbox (badness 10000) in paragraph at lines 736--737 []\T1/pcr/m/n/10.95 clone_get_equiv() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 737--738 []\T1/pcr/m/n/10.95 clone_get_equiv() Underfull \hbox (badness 10000) in paragraph at lines 737--738 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 738--740 []\T1/pcr/m/n/10.95 clone_with_new_inputs() Underfull \hbox (badness 10000) in paragraph at lines 740--742 []\T1/pcr/m/n/10.95 code_version() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 744--745 []\T1/pcr/m/n/10.95 collect_callbacks() Underfull \hbox (badness 10000) in paragraph at lines 744--745 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 746--747 []\T1/pcr/m/n/10.95 CompatUnpickler \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 750--751 []\T1/pcr/m/n/10.95 compile_limit \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.traceback at- Underfull \hbox (badness 10000) in paragraph at lines 759--760 []\T1/pcr/m/n/10.95 conf() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators [815] Underfull \hbox (badness 10000) in paragraph at lines 761--762 []\T1/pcr/m/n/10.95 conj() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Overfull \hbox (6.00555pt too wide) in paragraph at lines 762--764 []\T1/pcr/m/n/10.95 conjugate() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 766--767 []\T1/pcr/m/n/10.95 consider_constant() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 772--773 []\T1/pcr/m/n/10.95 Constant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 777--778 []\T1/pcr/m/n/10.95 constructors \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 778--779 []\T1/pcr/m/n/10.95 ConstructSparseFromList \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Overfull \hbox (28.17921pt too wide) in paragraph at lines 779--781 []\T1/pcr/m/n/10.95 container \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.sharedvalue.SharedVariable Overfull \hbox (15.48878pt too wide) in paragraph at lines 782--784 []\T1/pcr/m/n/10.95 context_name \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g puarray.type.GpuArrayType Overfull \hbox (42.57806pt too wide) in paragraph at lines 786--788 []\T1/pcr/m/n/10.95 conv() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nnet.abstract_conv.BaseAbstractConv Underfull \hbox (badness 10000) in paragraph at lines 789--790 []\T1/pcr/m/n/10.95 conv2d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 792--794 []\T1/pcr/m/n/10.95 conv2d_grad_wrt_inputs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 794--796 []\T1/pcr/m/n/10.95 conv2d_grad_wrt_weights() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 796--797 []\T1/pcr/m/n/10.95 conv2d_transpose() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 798--799 []\T1/pcr/m/n/10.95 conv3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 799--800 []\T1/pcr/m/n/10.95 conv3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 800--802 []\T1/pcr/m/n/10.95 conv3d_grad_wrt_inputs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 802--804 []\T1/pcr/m/n/10.95 conv3d_grad_wrt_weights() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 804--805 []\T1/pcr/m/n/10.95 convert_variable() Underfull \hbox (badness 10000) in paragraph at lines 805--807 []\T1/pcr/m/n/10.95 convert_variable() Underfull \hbox (badness 10000) in paragraph at lines 805--807 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 807--808 []\T1/pcr/m/n/10.95 ConvolutionIndices \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 808--809 []\T1/pcr/m/n/10.95 convolve() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Overfull \hbox (0.77165pt too wide) in paragraph at lines 809--811 []\T1/pcr/m/n/10.95 copy() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function_module.Function Underfull \hbox (badness 10000) in paragraph at lines 811--812 []\T1/pcr/m/n/10.95 copy() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Overfull \hbox (44.13347pt too wide) in paragraph at lines 812--814 []\T1/pcr/m/n/10.95 copy_into() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Overfull \hbox (44.13347pt too wide) in paragraph at lines 814--816 []\T1/pcr/m/n/10.95 copy_of_x() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 820--821 []\T1/pcr/m/n/10.95 CpuContiguous \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 822--823 []\T1/pcr/m/n/10.95 csc_from_dense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 828--829 []\T1/pcr/m/n/10.95 csm_properties \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule [816] Underfull \hbox (badness 10000) in paragraph at lines 833--834 []\T1/pcr/m/n/10.95 csr_from_dense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 855--856 []\T1/pcr/m/n/10.95 DebugModeError \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 856--857 []\T1/pcr/m/n/10.95 debugprint \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig.co nfig.profiling at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 859--861 []\T1/pcr/m/n/10.95 default_infer_shape() Underfull \hbox (badness 5374) in paragraph at lines 859--861 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.ShapeFeature method\T1/ ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 862--863 []\T1/pcr/m/n/10.95 default_output() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thea no.gof.graph.Apply Underfull \hbox (badness 10000) in paragraph at lines 863--864 []\T1/pcr/m/n/10.95 dense_from_sparse \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 864--865 []\T1/pcr/m/n/10.95 DenseFromSparse \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (12.57555pt too wide) in paragraph at lines 880--882 []\T1/pcr/m/n/10.95 dimshuffle() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 882--883 []\T1/pcr/m/n/10.95 disconnected_grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 5119) in paragraph at lines 886--887 []\T1/pcr/m/n/10.95 disown() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.F unctionGraph method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 887--889 []\T1/pcr/m/n/10.95 dnn_batch_normalization_test() \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 889--891 []\T1/pcr/m/n/10.95 dnn_batch_normalization_train() \T1/ptm/m/n/10.95 (\T1/ptm/ m/it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 893--894 []\T1/pcr/m/n/10.95 dnn_gradinput() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 894--895 []\T1/pcr/m/n/10.95 dnn_gradinput3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 895--896 []\T1/pcr/m/n/10.95 dnn_gradweight() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 896--897 []\T1/pcr/m/n/10.95 dnn_gradweight3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 898--899 []\T1/pcr/m/n/10.95 dnn_spatialtf() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 902--904 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 902--904 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAlloc [817] Underfull \hbox (badness 10000) in paragraph at lines 904--906 []\T1/pcr/m/n/10.95 do_constant_folding() Overfull \hbox (5.52364pt too wide) in paragraph at lines 904--906 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuAllocEmpty Underfull \hbox (badness 10000) in paragraph at lines 906--908 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 906--908 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.DnnVersion Underfull \hbox (badness 10000) in paragraph at lines 908--910 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 908--910 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConvDesc Underfull \hbox (badness 10000) in paragraph at lines 910--912 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 910--912 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnPoolDesc Underfull \hbox (badness 10000) in paragraph at lines 912--914 []\T1/pcr/m/n/10.95 do_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 912--914 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.io.MPIRecv method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 914--916 []\T1/pcr/m/n/10.95 do_constant_folding() Overfull \hbox (41.0776pt too wide) in paragraph at lines 914--916 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.nnet.abstract_conv.BaseAbst ractConv Underfull \hbox (badness 10000) in paragraph at lines 916--918 []\T1/pcr/m/n/10.95 do_type_checking() Overfull \hbox (9.78305pt too wide) in paragraph at lines 916--918 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 926--927 []\T1/pcr/m/n/10.95 dtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray .type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 927--929 []\T1/pcr/m/n/10.95 dtype \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators at- Overfull \hbox (22.05878pt too wide) in paragraph at lines 930--932 []\T1/pcr/m/n/10.95 dtype_specs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 949--950 []\T1/pcr/m/n/10.95 ensure_sorted_indices \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 950--951 []\T1/pcr/m/n/10.95 EnsureSortedIndices \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c lass in Underfull \hbox (badness 10000) in paragraph at lines 951--953 []\T1/pcr/m/n/10.95 enum_from_alias() Underfull \hbox (badness 10000) in paragraph at lines 951--953 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 966--967 []\T1/pcr/m/n/10.95 eval() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.typ e.PureType.Variable Overfull \hbox (42.1842pt too wide) in paragraph at lines 967--969 []\T1/pcr/m/n/10.95 evaluate() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spa rse.sandbox.sp.ConvolutionIndices Underfull \hbox (badness 10000) in paragraph at lines 971--972 []\T1/pcr/m/n/10.95 excluding() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.mode.Mode Underfull \hbox (badness 10000) in paragraph at lines 972--973 []\T1/pcr/m/n/10.95 execute_callbacks() Underfull \hbox (badness 10000) in paragraph at lines 972--973 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.FunctionGraph method\T1/ptm/m/ n/10.95 ), Overfull \hbox (3.13728pt too wide) in paragraph at lines 980--981 []\T1/pcr/m/n/10.95 extended() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType [818] Underfull \hbox (badness 10000) in paragraph at lines 991--992 []\T1/pcr/m/n/10.95 fill() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 992--993 []\T1/pcr/m/n/10.95 fill_diagonal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 993--995 []\T1/pcr/m/n/10.95 fill_diagonal_offset() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 996--997 []\T1/pcr/m/n/10.95 FillDiagonalOffset \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 998--999 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.p arams_type.ParamsType Underfull \hbox (badness 6675) in paragraph at lines 1000--1001 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.t ype.EnumType method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1003--1004 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 1005--1006 []\T1/pcr/m/n/10.95 filter() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gradi ent.DisconnectedType Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 []\T1/pcr/m/n/10.95 filter_variable() Underfull \hbox (badness 10000) in paragraph at lines 1008--1010 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 1010--1011 []\T1/pcr/m/n/10.95 find_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ul e Overfull \hbox (0.77165pt too wide) in paragraph at lines 1011--1013 []\T1/pcr/m/n/10.95 finder \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function_module.Function Underfull \hbox (badness 6125) in paragraph at lines 1015--1017 []\T1/pcr/m/n/10.95 flatten() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Overfull \hbox (8.73242pt too wide) in paragraph at lines 1020--1021 []\T1/pcr/m/n/10.95 flops() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarr ay.blas.BaseGpuCorr3dMM Overfull \hbox (49.14806pt too wide) in paragraph at lines 1022--1024 []\T1/pcr/m/n/10.95 flops() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor .nnet.abstract_conv.BaseAbstractConv Overfull \hbox (0.77165pt too wide) in paragraph at lines 1030--1032 []\T1/pcr/m/n/10.95 free() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .function_module.Function Underfull \hbox (badness 10000) in paragraph at lines 1032--1033 []\T1/pcr/m/n/10.95 fromalias() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Underfull \hbox (badness 10000) in paragraph at lines 1034--1035 []\T1/pcr/m/n/10.95 Function \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1038--1039 []\T1/pcr/m/n/10.95 function_dump() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Overfull \hbox (46.6842pt too wide) in paragraph at lines 1049--1051 []\T1/pcr/m/n/10.95 gen() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.s hared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1051--1052 []\T1/pcr/m/n/10.95 general_toposort() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1053--1054 []\T1/pcr/m/n/10.95 get_aliases() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.EnumType [819] Underfull \hbox (badness 10000) in paragraph at lines 1056--1058 []\T1/pcr/m/n/10.95 get_constant() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano .tensor.opt.Canonizer Underfull \hbox (badness 10000) in paragraph at lines 1058--1059 []\T1/pcr/m/n/10.95 get_context() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1061--1063 []\T1/pcr/m/n/10.95 get_conv_gradinputs_shape_1axis() Underfull \hbox (badness 10000) in paragraph at lines 1061--1063 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1065--1067 []\T1/pcr/m/n/10.95 get_conv_gradweights_shape_1axis() Underfull \hbox (badness 10000) in paragraph at lines 1065--1067 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1067--1069 []\T1/pcr/m/n/10.95 get_conv_output_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1069--1071 []\T1/pcr/m/n/10.95 get_conv_shape_1axis() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Overfull \hbox (3.13728pt too wide) in paragraph at lines 1071--1072 []\T1/pcr/m/n/10.95 get_enum() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType Overfull \hbox (9.70728pt too wide) in paragraph at lines 1072--1074 []\T1/pcr/m/n/10.95 get_field() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1074--1076 []\T1/pcr/m/n/10.95 get_helper_c_code_args() Overfull \hbox (9.78305pt too wide) in paragraph at lines 1074--1076 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 1077--1078 []\T1/pcr/m/n/10.95 get_item_2lists \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1079--1080 []\T1/pcr/m/n/10.95 get_item_scalar \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 []\T1/pcr/m/n/10.95 get_out_shape() Underfull \hbox (badness 10000) in paragraph at lines 1081--1083 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnConv Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 []\T1/pcr/m/n/10.95 get_output_info() Underfull \hbox (badness 10000) in paragraph at lines 1083--1085 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 1085--1087 []\T1/pcr/m/n/10.95 get_param_size() Overfull \hbox (16.27727pt too wide) in paragraph at lines 1088--1090 []\T1/pcr/m/n/10.95 get_params() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1090--1091 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.graph.Apply Underfull \hbox (badness 10000) in paragraph at lines 1091--1092 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.graph.Node Underfull \hbox (badness 10000) in paragraph at lines 1092--1093 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.graph.Variable Overfull \hbox (12.22554pt too wide) in paragraph at lines 1093--1095 []\T1/pcr/m/n/10.95 get_parents() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.type.PureType.Variable Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 []\T1/pcr/m/n/10.95 get_scalar_constant_value() Underfull \hbox (badness 10000) in paragraph at lines 1095--1097 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1097--1098 []\T1/pcr/m/n/10.95 get_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 1100--1102 []\T1/pcr/m/n/10.95 get_substream_rstates() Overfull \hbox (26.60251pt too wide) in paragraph at lines 1100--1102 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.MRG_RandomStreams Overfull \hbox (3.13728pt too wide) in paragraph at lines 1102--1103 []\T1/pcr/m/n/10.95 get_type() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType Overfull \hbox (41.3192pt too wide) in paragraph at lines 1103--1105 []\T1/pcr/m/n/10.95 get_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.sharedvalue.SharedVariable Overfull \hbox (56.16759pt too wide) in paragraph at lines 1105--1107 []\T1/pcr/m/n/10.95 get_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArraySharedVariable Underfull \hbox (badness 10000) in paragraph at lines 1111--1112 []\T1/pcr/m/n/10.95 GetItem2ListsGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1113--1114 []\T1/pcr/m/n/10.95 GetItemListGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (59.93423pt too wide) in paragraph at lines 1118--1120 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.basic_ops.CGpuKernelBase Overfull \hbox (18.3358pt too wide) in paragraph at lines 1120--1122 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.basic_ops.GpuEye Overfull \hbox (52.63068pt too wide) in paragraph at lines 1122--1124 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.basic_ops.GpuKernelBase [820] Overfull \hbox (64.40192pt too wide) in paragraph at lines 1124--1126 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.elemwise.GpuCAReduceCPY Overfull \hbox (68.04834pt too wide) in paragraph at lines 1126--1128 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.elemwise.GpuCAReduceCuda Overfull \hbox (69.11044pt too wide) in paragraph at lines 1128--1130 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.neighbours.GpuImages2Neibs Overfull \hbox (144.50024pt too wide) in paragraph at lines 1130--1132 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (165.99493pt too wide) in paragraph at lines 1132--1134 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Overfull \hbox (12.25862pt too wide) in paragraph at lines 1134--1135 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuSoftmax Overfull \hbox (51.80957pt too wide) in paragraph at lines 1135--1137 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.nnet.GpuSoftmaxWithBias Overfull \hbox (137.38327pt too wide) in paragraph at lines 1137--1139 []\T1/pcr/m/n/10.95 gpu_kernels() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gpuarray.subtensor.GpuAdvancedIncSubtensor1_dev20 Underfull \hbox (badness 10000) in paragraph at lines 1139--1141 []\T1/pcr/m/n/10.95 gpu_matrix_inverse() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1142--1143 []\T1/pcr/m/n/10.95 gpu_supported() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 6110) in paragraph at lines 1146--1148 []\T1/pcr/m/n/10.95 GpuAdvancedBooleanSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1148--1150 []\T1/pcr/m/n/10.95 GpuAdvancedIncSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 1150--1152 []\T1/pcr/m/n/10.95 GpuAdvancedIncSubtensor1 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1154--1156 []\T1/pcr/m/n/10.95 GpuAdvancedSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1156--1158 []\T1/pcr/m/n/10.95 GpuAdvancedSubtensor1 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1159--1160 []\T1/pcr/m/n/10.95 GpuAllocDiag \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1160--1161 []\T1/pcr/m/n/10.95 GpuAllocEmpty \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1163--1164 []\T1/pcr/m/n/10.95 GpuArrayConstant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1164--1165 []\T1/pcr/m/n/10.95 GpuArraySharedVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1165--1166 []\T1/pcr/m/n/10.95 GpuArraySignature \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1167--1168 []\T1/pcr/m/n/10.95 GpuArrayVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1168--1169 []\T1/pcr/m/n/10.95 GpuCAReduce \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ul e Underfull \hbox (badness 10000) in paragraph at lines 1169--1170 []\T1/pcr/m/n/10.95 GpuCAReduceCPY \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1170--1171 []\T1/pcr/m/n/10.95 GpuCAReduceCuda \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (19.7822pt too wide) in paragraph at lines 1172--1174 []\T1/pcr/m/n/10.95 GpuConnectionistTemporalClassification Underfull \hbox (badness 10000) in paragraph at lines 1174--1175 []\T1/pcr/m/n/10.95 GpuContextType \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1175--1176 []\T1/pcr/m/n/10.95 GpuContiguous \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1177--1178 []\T1/pcr/m/n/10.95 GpuCorr3dMM_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1178--1180 []\T1/pcr/m/n/10.95 GpuCorr3dMM_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 1181--1182 []\T1/pcr/m/n/10.95 GpuCorrMM_gradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1182--1183 []\T1/pcr/m/n/10.95 GpuCorrMM_gradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (6.64221pt too wide) in paragraph at lines 1183--1185 []\T1/pcr/m/n/10.95 GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (32.92218pt too wide) in paragraph at lines 1185--1187 []\T1/pcr/m/n/10.95 GpuCrossentropySoftmaxArgmax1HotWithBias Underfull \hbox (badness 10000) in paragraph at lines 1187--1189 []\T1/pcr/m/n/10.95 GpuCublasTriangularSolve \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1189--1190 []\T1/pcr/m/n/10.95 GpuCusolverSolve \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1190--1191 []\T1/pcr/m/n/10.95 GpuDimShuffle \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1191--1192 []\T1/pcr/m/n/10.95 GpuDnnBatchNorm \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1192--1193 []\T1/pcr/m/n/10.95 GpuDnnBatchNormGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1193--1194 []\T1/pcr/m/n/10.95 GpuDnnBatchNormInference \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in [821] Underfull \hbox (badness 10000) in paragraph at lines 1195--1196 []\T1/pcr/m/n/10.95 GpuDnnConvDesc \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1196--1197 []\T1/pcr/m/n/10.95 GpuDnnConvGradI \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1197--1198 []\T1/pcr/m/n/10.95 GpuDnnConvGradW \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1198--1199 []\T1/pcr/m/n/10.95 GpuDnnDropoutOp \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1200--1201 []\T1/pcr/m/n/10.95 GpuDnnPoolBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1201--1202 []\T1/pcr/m/n/10.95 GpuDnnPoolDesc \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1202--1203 []\T1/pcr/m/n/10.95 GpuDnnPoolGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1203--1204 []\T1/pcr/m/n/10.95 GpuDnnReduction \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1204--1205 []\T1/pcr/m/n/10.95 GpuDnnRNNGradInputs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c lass in Underfull \hbox (badness 10000) in paragraph at lines 1205--1206 []\T1/pcr/m/n/10.95 GpuDnnRNNGradWeights \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1208--1209 []\T1/pcr/m/n/10.95 GpuDnnSoftmaxBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1209--1210 []\T1/pcr/m/n/10.95 GpuDnnSoftmaxGrad \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1210--1211 []\T1/pcr/m/n/10.95 GpuDnnTransformerGradI \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1211--1212 []\T1/pcr/m/n/10.95 GpuDnnTransformerGradT \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 class in Underfull \hbox (badness 10000) in paragraph at lines 1212--1213 []\T1/pcr/m/n/10.95 GpuDnnTransformerGrid \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1213--1214 []\T1/pcr/m/n/10.95 GpuDnnTransformerSampler \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Underfull \hbox (badness 10000) in paragraph at lines 1215--1216 []\T1/pcr/m/n/10.95 GpuElemwise \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1218--1219 []\T1/pcr/m/n/10.95 GpuExtractDiag \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1220--1221 []\T1/pcr/m/n/10.95 GpuFromHost \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1225--1226 []\T1/pcr/m/n/10.95 GpuImages2Neibs \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1226--1227 []\T1/pcr/m/n/10.95 GpuIncSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1228--1229 []\T1/pcr/m/n/10.95 GpuKernelBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1230--1231 []\T1/pcr/m/n/10.95 GpuMagmaCholesky \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1232--1233 []\T1/pcr/m/n/10.95 GpuMagmaMatrixInverse \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1235--1236 []\T1/pcr/m/n/10.95 GpuReshape \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1237--1238 []\T1/pcr/m/n/10.95 GpuSoftmaxWithBias \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cl ass in Underfull \hbox (badness 10000) in paragraph at lines 1239--1240 []\T1/pcr/m/n/10.95 GpuSubtensor \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1241--1243 []\T1/pcr/m/n/10.95 grab_cpu_scalar() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1245--1246 []\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. extra_ops.FillDiagonal Overfull \hbox (4.80063pt too wide) in paragraph at lines 1246--1248 []\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. extra_ops.FillDiagonalOffset Underfull \hbox (badness 10000) in paragraph at lines 1249--1250 []\T1/pcr/m/n/10.95 grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nlinalg.MatrixInverse [822] Underfull \hbox (badness 10000) in paragraph at lines 1251--1252 []\T1/pcr/m/n/10.95 grad_not_implemented() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1253--1254 []\T1/pcr/m/n/10.95 grad_undefined() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1271--1272 []\T1/pcr/m/n/10.95 guess_n_streams() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1276--1277 []\T1/pcr/m/n/10.95 hard_sigmoid() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1277--1278 []\T1/pcr/m/n/10.95 has_alias() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Overfull \hbox (3.13728pt too wide) in paragraph at lines 1278--1279 []\T1/pcr/m/n/10.95 has_type() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 1279--1280 []\T1/pcr/m/n/10.95 hash_from_file() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1280--1281 []\T1/pcr/m/n/10.95 hash_from_ndarray() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1283--1284 []\T1/pcr/m/n/10.95 HintsFeature \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1284--1285 []\T1/pcr/m/n/10.95 HintsOptimizer \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1286--1287 []\T1/pcr/m/n/10.95 HostFromGpu \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1293--1294 []\T1/pcr/m/n/10.95 ignore_bug_before \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con -fig.config.warn Underfull \hbox (badness 10000) in paragraph at lines 1295--1296 []\T1/pcr/m/n/10.95 imag \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 1297--1299 []\T1/pcr/m/n/10.95 images2neibs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Overfull \hbox (67.52292pt too wide) in paragraph at lines 1303--1305 []\T1/pcr/m/n/10.95 inc_rstate() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.s andbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1310--1311 []\T1/pcr/m/n/10.95 including() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.mode.Mode Underfull \hbox (badness 10000) in paragraph at lines 1313--1315 []\T1/pcr/m/n/10.95 infer_context_name() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1318--1319 []\T1/pcr/m/n/10.95 init_r() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 1319--1321 []\T1/pcr/m/n/10.95 inline_reduce() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule [823] Underfull \hbox (badness 10000) in paragraph at lines 1323--1325 []\T1/pcr/m/n/10.95 inline_softmax() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 1328--1330 []\T1/pcr/m/n/10.95 inplace_allocempty() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1333--1334 []\T1/pcr/m/n/10.95 InplaceElemwiseOptimizer \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 class in Overfull \hbox (27.05162pt too wide) in paragraph at lines 1339--1341 []\T1/pcr/m/n/10.95 inv_finder \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.com pile.function_module.Function Underfull \hbox (badness 10000) in paragraph at lines 1341--1342 []\T1/pcr/m/n/10.95 InvalidValueError \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1343--1344 []\T1/pcr/m/n/10.95 io_connection_pattern() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1349--1350 []\T1/pcr/m/n/10.95 is_equal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1350--1351 []\T1/pcr/m/n/10.95 is_in_ancestors() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1351--1352 []\T1/pcr/m/n/10.95 is_inverse_pair() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1352--1353 []\T1/pcr/m/n/10.95 is_same_graph() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1354--1355 []\T1/pcr/m/n/10.95 is_valid_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thea no.gof.type.Generic Underfull \hbox (badness 8038) in paragraph at lines 1355--1356 []\T1/pcr/m/n/10.95 is_valid_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thea no.gof.type.PureType Underfull \hbox (badness 10000) in paragraph at lines 1368--1370 []\T1/pcr/m/n/10.95 kernel_version() Overfull \hbox (5.14027pt too wide) in paragraph at lines 1368--1370 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.basic_ops.GpuKernelBase Underfull \hbox (badness 10000) in paragraph at lines 1374--1375 []\T1/pcr/m/n/10.95 L_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. elemwise.Prod method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1375--1376 []\T1/pcr/m/n/10.95 L_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nlinalg.MatrixPinv Underfull \hbox (badness 10000) in paragraph at lines 1392--1393 []\T1/pcr/m/n/10.95 linker \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .mode.Mode at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1393--1394 []\T1/pcr/m/n/10.95 list_contexts() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1394--1395 []\T1/pcr/m/n/10.95 list_of_nodes() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 1399--1400 []\T1/pcr/m/n/10.95 local_add_mul_fusion() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule [824] Underfull \hbox (badness 10000) in paragraph at lines 1400--1402 []\T1/pcr/m/n/10.95 local_alloc_elemwise_assert \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 con- Underfull \hbox (badness 10000) in paragraph at lines 1402--1403 []\T1/pcr/m/n/10.95 local_elemwise_fusion() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1419--1420 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.Rebroadcast Underfull \hbox (badness 10000) in paragraph at lines 1420--1421 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.Shape Underfull \hbox (badness 10000) in paragraph at lines 1421--1422 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.Shape_i Underfull \hbox (badness 10000) in paragraph at lines 1423--1424 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.ops.ViewOp Overfull \hbox (11.89706pt too wide) in paragraph at lines 1424--1426 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAlloc Overfull \hbox (39.87405pt too wide) in paragraph at lines 1426--1428 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuAllocEmpty Overfull \hbox (39.28285pt too wide) in paragraph at lines 1428--1430 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuContiguous Overfull \hbox (5.19582pt too wide) in paragraph at lines 1430--1431 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuEye Overfull \hbox (32.70203pt too wide) in paragraph at lines 1431--1433 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuFromHost Overfull \hbox (7.36388pt too wide) in paragraph at lines 1433--1435 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuJoin Overfull \hbox (25.88022pt too wide) in paragraph at lines 1435--1437 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuReshape Overfull \hbox (8.86389pt too wide) in paragraph at lines 1437--1439 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuSplit Overfull \hbox (18.19356pt too wide) in paragraph at lines 1439--1441 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.GpuToGpu Overfull \hbox (32.70203pt too wide) in paragraph at lines 1441--1443 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.basic_ops.HostFromGpu Overfull \hbox (13.72581pt too wide) in paragraph at lines 1443--1444 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorr3dMM Overfull \hbox (67.09575pt too wide) in paragraph at lines 1444--1446 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorr3dMM_gradInputs Overfull \hbox (73.99416pt too wide) in paragraph at lines 1446--1448 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorr3dMM_gradWeights Overfull \hbox (2.77583pt too wide) in paragraph at lines 1448--1449 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorrMM Overfull \hbox (56.14577pt too wide) in paragraph at lines 1449--1451 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorrMM_gradInputs Overfull \hbox (63.04417pt too wide) in paragraph at lines 1451--1453 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuCorrMM_gradWeights Underfull \hbox (badness 10000) in paragraph at lines 1453--1454 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuDot22 Underfull \hbox (badness 10000) in paragraph at lines 1454--1455 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemm Overfull \hbox (17.19707pt too wide) in paragraph at lines 1455--1456 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemmBatch Underfull \hbox (badness 10000) in paragraph at lines 1456--1457 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGemv Underfull \hbox (badness 10000) in paragraph at lines 1457--1458 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.blas.GpuGer Overfull \hbox (30.58902pt too wide) in paragraph at lines 1459--1461 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnBatchNorm Overfull \hbox (53.54013pt too wide) in paragraph at lines 1461--1463 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnBatchNormGrad Overfull \hbox (71.53047pt too wide) in paragraph at lines 1463--1465 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnBatchNormInference Overfull \hbox (2.94058pt too wide) in paragraph at lines 1465--1466 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConv Overfull \hbox (24.82932pt too wide) in paragraph at lines 1466--1468 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvDesc Overfull \hbox (29.538pt too wide) in paragraph at lines 1468--1470 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvGradI Overfull \hbox (35.013pt too wide) in paragraph at lines 1470--1472 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnConvGradW Overfull \hbox (30.26059pt too wide) in paragraph at lines 1472--1474 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnDropoutOp Overfull \hbox (21.96042pt too wide) in paragraph at lines 1475--1477 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnPoolDesc [825] Overfull \hbox (23.0228pt too wide) in paragraph at lines 1477--1479 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnPoolGrad Overfull \hbox (24.66504pt too wide) in paragraph at lines 1479--1481 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnReduction Overfull \hbox (51.88657pt too wide) in paragraph at lines 1481--1483 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnRNNGradInputs Overfull \hbox (58.78497pt too wide) in paragraph at lines 1483--1485 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnRNNGradWeights Overfull \hbox (14.9416pt too wide) in paragraph at lines 1485--1486 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnRNNOp Overfull \hbox (15.54375pt too wide) in paragraph at lines 1486--1487 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnSoftmax Overfull \hbox (38.49486pt too wide) in paragraph at lines 1487--1489 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnSoftmaxGrad Overfull \hbox (61.45668pt too wide) in paragraph at lines 1489--1491 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerGradI Overfull \hbox (63.8985pt too wide) in paragraph at lines 1491--1493 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerGradT Overfull \hbox (55.54353pt too wide) in paragraph at lines 1493--1495 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerGrid Overfull \hbox (71.35524pt too wide) in paragraph at lines 1495--1497 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.dnn.GpuDnnTransformerSampler Overfull \hbox (51.26193pt too wide) in paragraph at lines 1497--1499 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuCAReduceCPY Overfull \hbox (54.90836pt too wide) in paragraph at lines 1499--1501 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuCAReduceCuda Overfull \hbox (33.42462pt too wide) in paragraph at lines 1501--1503 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuDimShuffle Overfull \hbox (26.93095pt too wide) in paragraph at lines 1503--1505 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.elemwise.GpuElemwise Overfull \hbox (10.40785pt too wide) in paragraph at lines 1505--1507 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuCholesky Overfull \hbox (72.59232pt too wide) in paragraph at lines 1507--1509 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuCublasTriangularSolve Overfull \hbox (33.63246pt too wide) in paragraph at lines 1509--1511 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuCusolverSolve Overfull \hbox (43.7505pt too wide) in paragraph at lines 1511--1513 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaCholesky Overfull \hbox (24.40225pt too wide) in paragraph at lines 1513--1515 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaEigh Overfull \hbox (65.20123pt too wide) in paragraph at lines 1515--1517 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaMatrixInverse Overfull \hbox (18.31413pt too wide) in paragraph at lines 1517--1518 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaQR Overfull \hbox (23.78912pt too wide) in paragraph at lines 1518--1520 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.linalg.GpuMagmaSVD Overfull \hbox (55.97046pt too wide) in paragraph at lines 1520--1522 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.neighbours.GpuImages2Neibs Overfull \hbox (131.36026pt too wide) in paragraph at lines 1522--1524 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmax1HotWithBiasDx Overfull \hbox (152.85495pt too wide) in paragraph at lines 1524--1526 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuCrossentropySoftmaxArgmax1HotWithBias Overfull \hbox (38.66959pt too wide) in paragraph at lines 1527--1529 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.nnet.GpuSoftmaxWithBias Overfull \hbox (123.80515pt too wide) in paragraph at lines 1529--1531 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedBooleanIncSubtensor Overfull \hbox (109.82213pt too wide) in paragraph at lines 1531--1533 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedBooleanSubtensor Overfull \hbox (87.30904pt too wide) in paragraph at lines 1533--1535 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor Overfull \hbox (92.78403pt too wide) in paragraph at lines 1535--1537 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (124.24329pt too wide) in paragraph at lines 1537--1539 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (73.32602pt too wide) in paragraph at lines 1539--1541 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedSubtensor Overfull \hbox (78.80101pt too wide) in paragraph at lines 1541--1543 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAdvancedSubtensor1 Overfull \hbox (31.2564pt too wide) in paragraph at lines 1543--1545 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuAllocDiag Overfull \hbox (40.2134pt too wide) in paragraph at lines 1545--1547 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuExtractDiag Overfull \hbox (44.13347pt too wide) in paragraph at lines 1547--1549 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuIncSubtensor Overfull \hbox (30.15045pt too wide) in paragraph at lines 1549--1551 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.subtensor.GpuSubtensor Underfull \hbox (badness 6961) in paragraph at lines 1551--1552 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.mi sc.doubleop.DoubleOp Underfull \hbox (badness 10000) in paragraph at lines 1552--1553 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sa ndbox.linalg.ops.Hint Overfull \hbox (10.87894pt too wide) in paragraph at lines 1553--1554 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sa ndbox.rng_mrg.DotModulo Overfull \hbox (17.77719pt too wide) in paragraph at lines 1554--1556 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sa ndbox.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 1556--1557 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.AddSD Underfull \hbox (badness 10000) in paragraph at lines 1557--1558 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.AddSS Underfull \hbox (badness 10000) in paragraph at lines 1558--1559 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.AddSSData [826] Overfull \hbox (50.13338pt too wide) in paragraph at lines 1561--1563 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.ConstructSparseFromList Underfull \hbox (badness 10000) in paragraph at lines 1563--1564 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.CSM Underfull \hbox (badness 10000) in paragraph at lines 1564--1565 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.CSMGrad Overfull \hbox (5.20613pt too wide) in paragraph at lines 1565--1566 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.CSMProperties Overfull \hbox (17.86447pt too wide) in paragraph at lines 1566--1568 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.DenseFromSparse Underfull \hbox (badness 10000) in paragraph at lines 1568--1569 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Diag Overfull \hbox (28.39796pt too wide) in paragraph at lines 1570--1572 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.EnsureSortedIndices Underfull \hbox (badness 10000) in paragraph at lines 1572--1573 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItem2d Overfull \hbox (21.95935pt too wide) in paragraph at lines 1574--1576 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItem2ListsGrad Underfull \hbox (badness 10000) in paragraph at lines 1576--1577 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItemList Overfull \hbox (12.22493pt too wide) in paragraph at lines 1577--1579 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItemListGrad Overfull \hbox (1.4284pt too wide) in paragraph at lines 1579--1580 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.GetItemScalar Underfull \hbox (badness 10000) in paragraph at lines 1580--1581 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.HStack Underfull \hbox (badness 10000) in paragraph at lines 1581--1582 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.MulSD Underfull \hbox (badness 10000) in paragraph at lines 1582--1583 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.MulSS Underfull \hbox (badness 10000) in paragraph at lines 1583--1584 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.MulSV Underfull \hbox (badness 10000) in paragraph at lines 1585--1586 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Remove0 Overfull \hbox (0.83736pt too wide) in paragraph at lines 1586--1587 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.RowScaleCSC Overfull \hbox (17.86447pt too wide) in paragraph at lines 1588--1590 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.SparseFromDense Underfull \hbox (badness 10000) in paragraph at lines 1590--1591 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.SpSum Overfull \hbox (9.44412pt too wide) in paragraph at lines 1591--1593 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.SquareDiagonal Overfull \hbox (13.19978pt too wide) in paragraph at lines 1593--1595 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.StructuredAddSV Overfull \hbox (42.852pt too wide) in paragraph at lines 1596--1598 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.StructuredDotGradCSC Overfull \hbox (42.23888pt too wide) in paragraph at lines 1598--1600 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 1600--1601 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Transpose Underfull \hbox (badness 10000) in paragraph at lines 1601--1602 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.TrueDot Underfull \hbox (badness 10000) in paragraph at lines 1602--1603 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.basic.Usmm Overfull \hbox (9.04996pt too wide) in paragraph at lines 1603--1605 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.sandbox.sp2.Binomial Overfull \hbox (23.04381pt too wide) in paragraph at lines 1605--1607 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.sandbox.sp2.Multinomial Overfull \hbox (2.69905pt too wide) in paragraph at lines 1607--1608 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sp arse.sandbox.sp2.Poisson Underfull \hbox (badness 10000) in paragraph at lines 1608--1609 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.All Underfull \hbox (badness 10000) in paragraph at lines 1609--1610 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.Any Overfull \hbox (24.64217pt too wide) in paragraph at lines 1611--1613 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.CAReduceDtype Overfull \hbox (0.73868pt too wide) in paragraph at lines 1613--1614 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.elemwise.DimShuffle Underfull \hbox (badness 10000) in paragraph at lines 1615--1616 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.Bartlett Overfull \hbox (23.85408pt too wide) in paragraph at lines 1616--1618 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 1618--1619 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.CumOp Underfull \hbox (badness 10000) in paragraph at lines 1619--1620 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.DiffOp Overfull \hbox (11.68863pt too wide) in paragraph at lines 1620--1622 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.FillDiagonal Overfull \hbox (37.65059pt too wide) in paragraph at lines 1622--1624 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.FillDiagonalOffset Overfull \hbox (27.86154pt too wide) in paragraph at lines 1624--1626 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.RavelMultiIndex [827] Overfull \hbox (25.69357pt too wide) in paragraph at lines 1627--1629 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 1629--1630 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.Unique Overfull \hbox (14.91896pt too wide) in paragraph at lines 1630--1632 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.extra_ops.UnravelIndex Underfull \hbox (badness 10000) in paragraph at lines 1632--1633 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.LoadFromDisk Underfull \hbox (badness 10000) in paragraph at lines 1633--1634 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPIRecv Underfull \hbox (badness 10000) in paragraph at lines 1634--1635 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPIRecvWait Underfull \hbox (badness 10000) in paragraph at lines 1635--1636 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPISend Underfull \hbox (badness 10000) in paragraph at lines 1636--1637 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.io.MPISendWait Underfull \hbox (badness 10000) in paragraph at lines 1637--1638 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.AllocDiag Underfull \hbox (badness 10000) in paragraph at lines 1640--1641 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.Eigh Underfull \hbox (badness 10000) in paragraph at lines 1641--1642 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.EighGrad Underfull \hbox (badness 10000) in paragraph at lines 1642--1643 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.lstsq Overfull \hbox (4.64763pt too wide) in paragraph at lines 1643--1645 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.MatrixInverse Underfull \hbox (badness 6893) in paragraph at lines 1645--1646 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.MatrixPinv Underfull \hbox (badness 10000) in paragraph at lines 1646--1647 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.QRFull Overfull \hbox (6.41081pt too wide) in paragraph at lines 1647--1649 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.QRIncomplete Underfull \hbox (badness 10000) in paragraph at lines 1649--1650 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.SVD Underfull \hbox (badness 10000) in paragraph at lines 1650--1651 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nlinalg.TensorInv Overfull \hbox (54.14145pt too wide) in paragraph at lines 1652--1654 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.abstract_conv.AbstractConv Overfull \hbox (107.51138pt too wide) in paragraph at lines 1654--1656 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.abstract_conv.AbstractConv_gradInputs Overfull \hbox (114.40979pt too wide) in paragraph at lines 1656--1658 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.abstract_conv.AbstractConv_gradWeights Overfull \hbox (65.64963pt too wide) in paragraph at lines 1658--1660 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.blocksparse.SparseBlockGemv Overfull \hbox (65.66046pt too wide) in paragraph at lines 1660--1662 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.nnet.blocksparse.SparseBlockOuter Underfull \hbox (badness 10000) in paragraph at lines 1663--1664 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.MakeVector Underfull \hbox (badness 10000) in paragraph at lines 1664--1665 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Cholesky Overfull \hbox (4.93245pt too wide) in paragraph at lines 1665--1667 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.CholeskyGrad Underfull \hbox (badness 10000) in paragraph at lines 1667--1668 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Eigvalsh Overfull \hbox (3.22433pt too wide) in paragraph at lines 1668--1670 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.EigvalshGrad Underfull \hbox (badness 10000) in paragraph at lines 1670--1671 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Expm Underfull \hbox (badness 10000) in paragraph at lines 1671--1672 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.ExpmGrad Underfull \hbox (badness 10000) in paragraph at lines 1672--1673 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.slinalg.Solve Overfull \hbox (18.5431pt too wide) in paragraph at lines 1673--1675 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te sts.breakpoint.PdbBreakpoint Underfull \hbox (badness 10000) in paragraph at lines 1675--1676 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Append Underfull \hbox (badness 10000) in paragraph at lines 1676--1677 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Count Underfull \hbox (badness 10000) in paragraph at lines 1677--1678 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Extend Underfull \hbox (badness 10000) in paragraph at lines 1678--1679 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.GetItem Underfull \hbox (badness 10000) in paragraph at lines 1679--1680 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Index Underfull \hbox (badness 10000) in paragraph at lines 1680--1681 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Insert Underfull \hbox (badness 10000) in paragraph at lines 1681--1682 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Length Underfull \hbox (badness 7273) in paragraph at lines 1682--1683 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.MakeList Underfull \hbox (badness 10000) in paragraph at lines 1683--1684 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Remove Underfull \hbox (badness 10000) in paragraph at lines 1684--1685 []\T1/pcr/m/n/10.95 make_node() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ty ped_list.basic.Reverse [828] Underfull \hbox (badness 10000) in paragraph at lines 1686--1687 []\T1/pcr/m/n/10.95 make_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.g of.type.CDataType Underfull \hbox (badness 10000) in paragraph at lines 1688--1689 []\T1/pcr/m/n/10.95 make_variable() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 thean o.gof.type.PureType Underfull \hbox (badness 10000) in paragraph at lines 1689--1691 []\T1/pcr/m/n/10.95 make_view_array() Overfull \hbox (9.78305pt too wide) in paragraph at lines 1689--1691 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.subtensor.GpuIncSubtensor Underfull \hbox (badness 10000) in paragraph at lines 1696--1697 []\T1/pcr/m/n/10.95 matrix_power() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1700--1701 []\T1/pcr/m/n/10.95 max() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1702--1703 []\T1/pcr/m/n/10.95 max_err() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.grad ient.numeric_grad Underfull \hbox (badness 10000) in paragraph at lines 1705--1706 []\T1/pcr/m/n/10.95 max_pool() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1706--1708 []\T1/pcr/m/n/10.95 max_pool_2d_same_size() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1711--1712 []\T1/pcr/m/n/10.95 mean() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1714--1716 []\T1/pcr/m/n/10.95 merge_num_denum() Underfull \hbox (badness 10000) in paragraph at lines 1714--1716 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.Canonizer method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1716--1717 []\T1/pcr/m/n/10.95 merge_two_slices() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1720--1721 []\T1/pcr/m/n/10.95 min() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 7963) in paragraph at lines 1721--1722 []\T1/pcr/m/n/10.95 min_memory_size \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-f ig.config.profiling at- Underfull \hbox (badness 7963) in paragraph at lines 1722--1723 []\T1/pcr/m/n/10.95 min_peak_memory \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-f ig.config.profiling at- Underfull \hbox (badness 10000) in paragraph at lines 1727--1728 []\T1/pcr/m/n/10.95 move_to_gpu() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1728--1729 []\T1/pcr/m/n/10.95 mpi_send_wait_key() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1734--1735 []\T1/pcr/m/n/10.95 MRG_RandomStreams \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 1736--1737 []\T1/pcr/m/n/10.95 mrg_uniform_base \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 1744--1745 []\T1/pcr/m/n/10.95 Multinomial \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1745--1746 []\T1/pcr/m/n/10.95 multinomial() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Overfull \hbox (74.09291pt too wide) in paragraph at lines 1746--1748 []\T1/pcr/m/n/10.95 multinomial() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. sandbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1748--1749 []\T1/pcr/m/n/10.95 multMatVect() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1749--1750 []\T1/pcr/m/n/10.95 MulWithoutZeros \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 6691) in paragraph at lines 1750--1751 []\T1/pcr/m/n/10.95 mutable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compil e.function.In at-tribute\T1/ptm/m/n/10.95 ), [829] Underfull \hbox (badness 10000) in paragraph at lines 1757--1758 []\T1/pcr/m/n/10.95 name \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray. type.GpuArrayType at- Underfull \hbox (badness 10000) in paragraph at lines 1759--1760 []\T1/pcr/m/n/10.95 NanGuardMode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 1760--1761 []\T1/pcr/m/n/10.95 ndim \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray. type.GpuArrayType at- Underfull \hbox (badness 10000) in paragraph at lines 1761--1763 []\T1/pcr/m/n/10.95 ndim \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 1769--1771 []\T1/pcr/m/n/10.95 neibs2images() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Overfull \hbox (27.17169pt too wide) in paragraph at lines 1777--1779 []\T1/pcr/m/n/10.95 node_colors \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.d3 viz.formatting.PyDotFormatter Underfull \hbox (badness 10000) in paragraph at lines 1780--1781 []\T1/pcr/m/n/10.95 nodes_constructed() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 6125) in paragraph at lines 1781--1783 []\T1/pcr/m/n/10.95 nonzero() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1783--1785 []\T1/pcr/m/n/10.95 nonzero_values() Underfull \hbox (badness 10000) in paragraph at lines 1783--1785 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 1785--1786 []\T1/pcr/m/n/10.95 norm() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Overfull \hbox (41.24295pt too wide) in paragraph at lines 1787--1789 []\T1/pcr/m/n/10.95 normal() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandb ox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 1795--1797 []\T1/pcr/m/n/10.95 nvcc_kernel() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 1801--1802 []\T1/pcr/m/n/10.95 on_attach() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 []\T1/pcr/m/n/10.95 on_change_input() Underfull \hbox (badness 10000) in paragraph at lines 1802--1803 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.toolbox.Feature method\T1/ptm/ m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1803--1804 []\T1/pcr/m/n/10.95 on_detach() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1804--1805 []\T1/pcr/m/n/10.95 on_import() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1806--1807 []\T1/pcr/m/n/10.95 on_prune() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof .toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1824--1825 []\T1/pcr/m/n/10.95 optimizer \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.mode.Mode at- Underfull \hbox (badness 10000) in paragraph at lines 1825--1826 []\T1/pcr/m/n/10.95 optimizer_excluding \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 c on-fig.config at- [830] Underfull \hbox (badness 10000) in paragraph at lines 1832--1833 []\T1/pcr/m/n/10.95 orderings() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.FunctionGraph Underfull \hbox (badness 10000) in paragraph at lines 1833--1834 []\T1/pcr/m/n/10.95 orderings() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.toolbox.Feature Underfull \hbox (badness 10000) in paragraph at lines 1838--1839 []\T1/pcr/m/n/10.95 output_merge() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 1843--1844 []\T1/pcr/m/n/10.95 pad_dims() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1847--1848 []\T1/pcr/m/n/10.95 patternbroadcast() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 1849--1850 []\T1/pcr/m/n/10.95 PdbBreakpoint \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 1851--1852 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.ops.DeepCopyOp Underfull \hbox (badness 10000) in paragraph at lines 1853--1854 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.ops.Rebroadcast Underfull \hbox (badness 10000) in paragraph at lines 1856--1857 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.comp ile.ops.SpecifyShape Overfull \hbox (26.73407pt too wide) in paragraph at lines 1859--1861 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuAllocEmpty Overfull \hbox (19.56204pt too wide) in paragraph at lines 1861--1863 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuFromHost Overfull \hbox (12.74023pt too wide) in paragraph at lines 1864--1866 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuReshape Overfull \hbox (5.05357pt too wide) in paragraph at lines 1866--1867 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.GpuToGpu Overfull \hbox (19.56204pt too wide) in paragraph at lines 1867--1869 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.basic_ops.HostFromGpu Underfull \hbox (badness 10000) in paragraph at lines 1869--1870 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuDot22 Underfull \hbox (badness 10000) in paragraph at lines 1870--1871 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuGemm Underfull \hbox (badness 10000) in paragraph at lines 1871--1872 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuGemv Underfull \hbox (badness 10000) in paragraph at lines 1872--1873 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.blas.GpuGer Overfull \hbox (38.12195pt too wide) in paragraph at lines 1873--1875 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuCAReduceCPY Overfull \hbox (41.76837pt too wide) in paragraph at lines 1875--1877 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuCAReduceCuda Overfull \hbox (20.28464pt too wide) in paragraph at lines 1877--1879 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuDimShuffle Overfull \hbox (13.79097pt too wide) in paragraph at lines 1879--1880 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.elemwise.GpuElemwise Overfull \hbox (59.45233pt too wide) in paragraph at lines 1881--1883 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.linalg.GpuCublasTriangularSolve Overfull \hbox (20.49248pt too wide) in paragraph at lines 1883--1885 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.linalg.GpuCusolverSolve Overfull \hbox (42.83047pt too wide) in paragraph at lines 1885--1887 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.neighbours.GpuImages2Neibs Overfull \hbox (79.64404pt too wide) in paragraph at lines 1887--1889 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAdvancedIncSubtensor1 Overfull \hbox (111.1033pt too wide) in paragraph at lines 1889--1891 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAdvancedIncSubtensor1_dev20 Overfull \hbox (65.66103pt too wide) in paragraph at lines 1891--1893 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAdvancedSubtensor1 Overfull \hbox (18.11641pt too wide) in paragraph at lines 1893--1895 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuAllocDiag Overfull \hbox (27.07341pt too wide) in paragraph at lines 1895--1897 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuExtractDiag Overfull \hbox (30.99348pt too wide) in paragraph at lines 1897--1899 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuIncSubtensor Overfull \hbox (17.01047pt too wide) in paragraph at lines 1899--1901 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpua rray.subtensor.GpuSubtensor Underfull \hbox (badness 10000) in paragraph at lines 1901--1902 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.misc .doubleop.DoubleOp Underfull \hbox (badness 10000) in paragraph at lines 1902--1903 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sand box.linalg.ops.Hint [831] Overfull \hbox (4.6372pt too wide) in paragraph at lines 1904--1905 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sand box.rng_mrg.mrg_uniform Underfull \hbox (badness 10000) in paragraph at lines 1907--1908 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.AddSSData Underfull \hbox (badness 6445) in paragraph at lines 1908--1909 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Cast method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1909--1910 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.ColScaleCSC Overfull \hbox (36.9934pt too wide) in paragraph at lines 1910--1912 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.ConstructSparseFromList Underfull \hbox (badness 10000) in paragraph at lines 1913--1914 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.CSMGrad Underfull \hbox (badness 10000) in paragraph at lines 1914--1915 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.CSMProperties Overfull \hbox (4.72449pt too wide) in paragraph at lines 1915--1916 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.DenseFromSparse Underfull \hbox (badness 10000) in paragraph at lines 1917--1918 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Dot method\T1/ptm/m/n/10.95 ), Overfull \hbox (15.25798pt too wide) in paragraph at lines 1918--1920 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.EnsureSortedIndices Underfull \hbox (badness 10000) in paragraph at lines 1920--1921 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItem2d Underfull \hbox (badness 10000) in paragraph at lines 1921--1922 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItem2Lists Overfull \hbox (8.81937pt too wide) in paragraph at lines 1922--1924 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItem2ListsGrad Underfull \hbox (badness 10000) in paragraph at lines 1924--1925 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItemList Underfull \hbox (badness 10000) in paragraph at lines 1926--1927 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.GetItemScalar Underfull \hbox (badness 10000) in paragraph at lines 1931--1932 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Neg method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1932--1933 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Remove0 Underfull \hbox (badness 10000) in paragraph at lines 1933--1934 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.RowScaleCSC Underfull \hbox (badness 10000) in paragraph at lines 1934--1935 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.SamplingDot Overfull \hbox (4.72449pt too wide) in paragraph at lines 1935--1936 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.SparseFromDense Underfull \hbox (badness 10000) in paragraph at lines 1939--1940 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.StructuredDot Overfull \hbox (29.71202pt too wide) in paragraph at lines 1940--1942 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.StructuredDotGradCSC Overfull \hbox (29.09889pt too wide) in paragraph at lines 1942--1944 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.StructuredDotGradCSR Underfull \hbox (badness 10000) in paragraph at lines 1944--1945 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.Transpose Underfull \hbox (badness 10000) in paragraph at lines 1945--1946 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.basic.TrueDot Overfull \hbox (35.61421pt too wide) in paragraph at lines 1948--1950 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.sandbox.sp.ConvolutionIndices Overfull \hbox (9.90382pt too wide) in paragraph at lines 1951--1953 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.sandbox.sp2.Multinomial Underfull \hbox (badness 10000) in paragraph at lines 1953--1954 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.spar se.sandbox.sp2.Poisson Underfull \hbox (badness 10000) in paragraph at lines 1954--1955 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.elemwise.CAReduce Underfull \hbox (badness 10000) in paragraph at lines 1955--1956 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.elemwise.DimShuffle Underfull \hbox (badness 10000) in paragraph at lines 1956--1957 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 1957--1958 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.Bartlett [832] Overfull \hbox (10.7141pt too wide) in paragraph at lines 1958--1960 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.CpuContiguous Underfull \hbox (badness 10000) in paragraph at lines 1960--1961 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.CumOp Underfull \hbox (badness 10000) in paragraph at lines 1961--1962 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.DiffOp Overfull \hbox (24.5106pt too wide) in paragraph at lines 1964--1966 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.FillDiagonalOffset Overfull \hbox (14.72156pt too wide) in paragraph at lines 1966--1968 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.RavelMultiIndex Underfull \hbox (badness 10000) in paragraph at lines 1968--1969 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.RepeatOp Overfull \hbox (12.55359pt too wide) in paragraph at lines 1969--1971 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.SearchsortedOp Underfull \hbox (badness 10000) in paragraph at lines 1971--1972 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.Unique Overfull \hbox (1.77898pt too wide) in paragraph at lines 1972--1974 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.extra_ops.UnravelIndex Underfull \hbox (badness 10000) in paragraph at lines 1974--1975 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.io.LoadFromDisk Underfull \hbox (badness 10000) in paragraph at lines 1976--1977 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.io.MPIRecvWait Underfull \hbox (badness 10000) in paragraph at lines 1978--1979 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.io.MPISendWait Underfull \hbox (badness 10000) in paragraph at lines 1979--1980 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.AllocDiag Underfull \hbox (badness 5446) in paragraph at lines 1981--1982 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.Eig method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 1983--1984 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.EighGrad Underfull \hbox (badness 10000) in paragraph at lines 1985--1986 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.MatrixInverse Underfull \hbox (badness 10000) in paragraph at lines 1986--1987 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.MatrixPinv Underfull \hbox (badness 10000) in paragraph at lines 1987--1988 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.QRFull Underfull \hbox (badness 5036) in paragraph at lines 1988--1989 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.QRIncomplete Underfull \hbox (badness 10000) in paragraph at lines 1990--1991 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.TensorInv Underfull \hbox (badness 10000) in paragraph at lines 1991--1992 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nlinalg.TensorSolve Overfull \hbox (41.00146pt too wide) in paragraph at lines 1992--1994 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.abstract_conv.AbstractConv Overfull \hbox (94.3714pt too wide) in paragraph at lines 1994--1996 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.abstract_conv.AbstractConv_gradInputs Overfull \hbox (101.2698pt too wide) in paragraph at lines 1996--1998 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.abstract_conv.AbstractConv_gradWeights Overfull \hbox (52.50964pt too wide) in paragraph at lines 1998--2000 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.blocksparse.SparseBlockGemv Overfull \hbox (52.52048pt too wide) in paragraph at lines 2000--2002 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.nnet.blocksparse.SparseBlockOuter Underfull \hbox (badness 10000) in paragraph at lines 2002--2003 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.opt.Assert method\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2003--2004 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.opt.MakeVector Underfull \hbox (badness 10000) in paragraph at lines 2004--2005 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.Cholesky Underfull \hbox (badness 10000) in paragraph at lines 2005--2006 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.CholeskyGrad Underfull \hbox (badness 10000) in paragraph at lines 2006--2007 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.Eigvalsh Underfull \hbox (badness 10000) in paragraph at lines 2007--2008 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.EigvalshGrad Underfull \hbox (badness 10000) in paragraph at lines 2009--2010 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.slinalg.ExpmGrad Overfull \hbox (5.40312pt too wide) in paragraph at lines 2011--2013 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.test s.breakpoint.PdbBreakpoint Underfull \hbox (badness 10000) in paragraph at lines 2013--2014 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Append Underfull \hbox (badness 10000) in paragraph at lines 2014--2015 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Count Underfull \hbox (badness 10000) in paragraph at lines 2015--2016 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Extend Underfull \hbox (badness 10000) in paragraph at lines 2016--2017 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.GetItem Underfull \hbox (badness 10000) in paragraph at lines 2017--2018 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Index [833] Underfull \hbox (badness 10000) in paragraph at lines 2018--2019 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Insert Underfull \hbox (badness 10000) in paragraph at lines 2019--2020 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Length Underfull \hbox (badness 10000) in paragraph at lines 2020--2021 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.MakeList Underfull \hbox (badness 10000) in paragraph at lines 2021--2022 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Remove Underfull \hbox (badness 10000) in paragraph at lines 2022--2023 []\T1/pcr/m/n/10.95 perform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.type d_list.basic.Reverse Underfull \hbox (badness 10000) in paragraph at lines 2023--2024 []\T1/pcr/m/n/10.95 permutation() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2031--2032 []\T1/pcr/m/n/10.95 preload_cache \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2032--2034 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.dnn.GpuDnnDropoutOp Underfull \hbox (badness 10000) in paragraph at lines 2034--2036 []\T1/pcr/m/n/10.95 prepare_node() Overfull \hbox (16.91151pt too wide) in paragraph at lines 2034--2036 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCPY Underfull \hbox (badness 10000) in paragraph at lines 2036--2038 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2036--2038 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCholesky Underfull \hbox (badness 10000) in paragraph at lines 2038--2040 []\T1/pcr/m/n/10.95 prepare_node() Overfull \hbox (38.2419pt too wide) in paragraph at lines 2038--2040 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCublasTriangula rSolve Underfull \hbox (badness 10000) in paragraph at lines 2040--2042 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2040--2042 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuCusolverSolve Underfull \hbox (badness 10000) in paragraph at lines 2042--2044 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2042--2044 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaBase Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2044--2046 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.linalg.GpuMagmaSVD Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 []\T1/pcr/m/n/10.95 prepare_node() Underfull \hbox (badness 10000) in paragraph at lines 2046--2048 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 2054--2055 []\T1/pcr/m/n/10.95 prod() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2055--2056 []\T1/pcr/m/n/10.95 ProdWithoutZeros \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2062--2063 []\T1/pcr/m/n/10.95 ptp() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2068--2069 []\T1/pcr/m/n/10.95 PyDotFormatter \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 []\T1/pcr/m/n/10.95 python_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 2071--2073 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuElemwise Underfull \hbox (badness 10000) in paragraph at lines 2073--2075 []\T1/pcr/m/n/10.95 python_constant_folding() Underfull \hbox (badness 10000) in paragraph at lines 2073--2075 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.elemwise.Elemwise [834] Underfull \hbox (badness 10000) in paragraph at lines 2088--2089 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.compile .ops.SpecifyShape Underfull \hbox (badness 10000) in paragraph at lines 2090--2091 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarra y.basic_ops.GpuToGpu Underfull \hbox (badness 10000) in paragraph at lines 2092--2093 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gradien t.DisconnectedGrad Underfull \hbox (badness 10000) in paragraph at lines 2095--2096 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.misc.do ubleop.DoubleOp Overfull \hbox (10.47336pt too wide) in paragraph at lines 2096--2098 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox .rng_mrg.mrg_uniform_base Overfull \hbox (17.28342pt too wide) in paragraph at lines 2098--2100 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sparse. basic.ConstructSparseFromList Underfull \hbox (badness 10000) in paragraph at lines 2100--2101 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. elemwise.DimShuffle Underfull \hbox (badness 10000) in paragraph at lines 2101--2102 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. elemwise.Elemwise Underfull \hbox (badness 10000) in paragraph at lines 2103--2104 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nlinalg.MatrixInverse Overfull \hbox (21.29149pt too wide) in paragraph at lines 2104--2106 []\T1/pcr/m/n/10.95 R_op() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. nnet.abstract_conv.AbstractConv Underfull \hbox (badness 10000) in paragraph at lines 2107--2109 []\T1/pcr/m/n/10.95 random_integers() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2109--2111 []\T1/pcr/m/n/10.95 random_state_type() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2111--2112 []\T1/pcr/m/n/10.95 RandomFunction \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2112--2113 []\T1/pcr/m/n/10.95 RandomStateType \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2113--2115 []\T1/pcr/m/n/10.95 RandomStreams \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class i n Underfull \hbox (badness 10000) in paragraph at lines 2113--2115 \T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2115--2116 []\T1/pcr/m/n/10.95 RandomStreamsBase \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 2116--2118 []\T1/pcr/m/n/10.95 RandomVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2116--2118 \T1/ptm/m/it/10.95 theano.tensor.shared_randomstreams\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2118--2119 []\T1/pcr/m/n/10.95 ravel() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor ._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2119--2121 []\T1/pcr/m/n/10.95 ravel_multi_index() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2121--2122 []\T1/pcr/m/n/10.95 RavelMultiIndex \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2122--2123 []\T1/pcr/m/n/10.95 real \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 2127--2128 []\T1/pcr/m/n/10.95 reg_context() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2128--2130 []\T1/pcr/m/n/10.95 register_deep_copy_op_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m /it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 2132--2134 []\T1/pcr/m/n/10.95 register_shape_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2134--2136 []\T1/pcr/m/n/10.95 register_shape_i_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2136--2138 []\T1/pcr/m/n/10.95 register_specify_shape_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/ m/it/10.95 in Underfull \hbox (badness 10000) in paragraph at lines 2138--2140 []\T1/pcr/m/n/10.95 register_view_op_c_code() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/1 0.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2147--2148 []\T1/pcr/m/n/10.95 remove_gxx_opt \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fi g.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2150--2152 []\T1/pcr/m/n/10.95 repeat() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r._tensor_py_operators [835] Underfull \hbox (badness 10000) in paragraph at lines 2154--2155 []\T1/pcr/m/n/10.95 replace_all() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano. gof.FunctionGraph Underfull \hbox (badness 10000) in paragraph at lines 2155--2156 []\T1/pcr/m/n/10.95 replace_patterns() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2156--2158 []\T1/pcr/m/n/10.95 replace_validate() Underfull \hbox (badness 10000) in paragraph at lines 2156--2158 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.toolbox.ReplaceValidate Underfull \hbox (badness 10000) in paragraph at lines 2160--2161 []\T1/pcr/m/n/10.95 requiring() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.mode.Mode Underfull \hbox (badness 6125) in paragraph at lines 2162--2164 []\T1/pcr/m/n/10.95 reshape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Overfull \hbox (35.77805pt too wide) in paragraph at lines 2169--2171 []\T1/pcr/m/n/10.95 rng \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.sha red_randomstreams.RandomVariable Underfull \hbox (badness 10000) in paragraph at lines 2176--2178 []\T1/pcr/m/n/10.95 round() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor ._tensor_py_operators Underfull \hbox (badness 5578) in paragraph at lines 2186--2187 []\T1/pcr/m/n/10.95 same_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2194--2195 []\T1/pcr/m/n/10.95 scalarconsts_rest() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 i n mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2198--2199 []\T1/pcr/m/n/10.95 searchsorted() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2199--2200 []\T1/pcr/m/n/10.95 SearchsortedOp \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Overfull \hbox (28.10297pt too wide) in paragraph at lines 2200--2202 []\T1/pcr/m/n/10.95 seed() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox .rng_mrg.MRG_RandomStreams Overfull \hbox (53.2542pt too wide) in paragraph at lines 2202--2204 []\T1/pcr/m/n/10.95 seed() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. shared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2206--2208 []\T1/pcr/m/n/10.95 separable_conv2d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2208--2210 []\T1/pcr/m/n/10.95 separable_conv3d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2210--2211 []\T1/pcr/m/n/10.95 set_shape() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.ShapeFeature Overfull \hbox (41.3192pt too wide) in paragraph at lines 2213--2215 []\T1/pcr/m/n/10.95 set_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.co mpile.sharedvalue.SharedVariable Overfull \hbox (56.16759pt too wide) in paragraph at lines 2215--2217 []\T1/pcr/m/n/10.95 set_value() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArraySharedVariable Underfull \hbox (badness 10000) in paragraph at lines 2219--2220 []\T1/pcr/m/n/10.95 seterr_invalid \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fi g.config.numpy at- Underfull \hbox (badness 10000) in paragraph at lines 2220--2221 []\T1/pcr/m/n/10.95 seterr_over \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig.c onfig.numpy at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2228--2229 []\T1/pcr/m/n/10.95 shape_ir() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ten sor.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2229--2230 []\T1/pcr/m/n/10.95 shape_of_variables() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule [836] Underfull \hbox (badness 10000) in paragraph at lines 2240--2241 []\T1/pcr/m/n/10.95 shared() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2241--2243 []\T1/pcr/m/n/10.95 shared_constructor() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2243--2244 []\T1/pcr/m/n/10.95 SharedVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2244--2246 []\T1/pcr/m/n/10.95 SharedVariable Underfull \hbox (badness 10000) in paragraph at lines 2244--2246 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2250--2251 []\T1/pcr/m/n/10.95 simple_extract_stack() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2251--2252 []\T1/pcr/m/n/10.95 simplify() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.ten sor.opt.Canonizer Underfull \hbox (badness 10000) in paragraph at lines 2252--2254 []\T1/pcr/m/n/10.95 simplify_constants() Underfull \hbox (badness 10000) in paragraph at lines 2252--2254 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.Canonizer method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2254--2256 []\T1/pcr/m/n/10.95 simplify_factors() Underfull \hbox (badness 10000) in paragraph at lines 2254--2256 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.Canonizer method\T1/ptm /m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2256--2257 []\T1/pcr/m/n/10.95 single_stream \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-fig .config.gpuarray at- Underfull \hbox (badness 10000) in paragraph at lines 2263--2265 []\T1/pcr/m/n/10.95 solve_lower_triangular() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2265--2266 []\T1/pcr/m/n/10.95 solve_symmetric \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 2266--2268 []\T1/pcr/m/n/10.95 solve_upper_triangular() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10 .95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2268--2270 []\T1/pcr/m/n/10.95 sort() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2270--2271 []\T1/pcr/m/n/10.95 sp_ones_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2272--2273 []\T1/pcr/m/n/10.95 sp_zeros_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 10000) in paragraph at lines 2275--2277 []\T1/pcr/m/n/10.95 sparse_block_dot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2278--2279 []\T1/pcr/m/n/10.95 sparse_formats \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod -ule Underfull \hbox (badness 10000) in paragraph at lines 2280--2282 []\T1/pcr/m/n/10.95 sparse_random_inputs() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.9 5 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2282--2284 []\T1/pcr/m/n/10.95 SparseBlockGemv \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2284--2286 []\T1/pcr/m/n/10.95 SparseBlockOuter \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 clas s in Underfull \hbox (badness 10000) in paragraph at lines 2287--2288 []\T1/pcr/m/n/10.95 SparseConstantSignature \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 class in Underfull \hbox (badness 10000) in paragraph at lines 2288--2289 []\T1/pcr/m/n/10.95 SparseFromDense \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2292--2294 []\T1/pcr/m/n/10.95 spectral_radius_bound() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2294--2295 []\T1/pcr/m/n/10.95 split_params() [837] Underfull \hbox (badness 10000) in paragraph at lines 2298--2299 []\T1/pcr/m/n/10.95 square_diagonal \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Underfull \hbox (badness 6125) in paragraph at lines 2301--2303 []\T1/pcr/m/n/10.95 squeeze() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2307--2308 []\T1/pcr/m/n/10.95 std() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2308--2309 []\T1/pcr/m/n/10.95 StochasticOrder \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2312--2313 []\T1/pcr/m/n/10.95 structured_add_s_v \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2313--2314 []\T1/pcr/m/n/10.95 structured_dot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 2314--2315 []\T1/pcr/m/n/10.95 StructuredAddSV \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2316--2317 []\T1/pcr/m/n/10.95 StructuredDotGradCSC \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2317--2318 []\T1/pcr/m/n/10.95 StructuredDotGradCSR \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2323--2324 []\T1/pcr/m/n/10.95 sum() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2326--2328 []\T1/pcr/m/n/10.95 supports_c_code() Overfull \hbox (20.55794pt too wide) in paragraph at lines 2326--2328 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.elemwise.GpuCAReduceCuda Underfull \hbox (badness 5388) in paragraph at lines 2336--2337 []\T1/pcr/m/n/10.95 T \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._tens or_py_operators at-tribute\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2337--2338 []\T1/pcr/m/n/10.95 take() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. _tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2357--2358 []\T1/pcr/m/n/10.95 TensorSharedVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 class in Underfull \hbox (badness 10000) in paragraph at lines 2359--2360 []\T1/pcr/m/n/10.95 tensorsolve() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod- ule Underfull \hbox (badness 10000) in paragraph at lines 2367--2368 []\T1/pcr/m/n/10.95 theano.compile.nanguardmode \T1/ptm/m/n/10.95 (\T1/ptm/m/it /10.95 mod-ule\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2369--2370 []\T1/pcr/m/n/10.95 theano.compile.sharedvalue \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 mod-ule\T1/ptm/m/n/10.95 ), [838] Underfull \hbox (badness 10000) in paragraph at lines 2389--2390 []\T1/pcr/m/n/10.95 theano.gpuarray.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/it/ 10.95 mod-ule\T1/ptm/m/n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2404--2405 []\T1/pcr/m/n/10.95 theano.sparse.sandbox.truedot \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 mod- Underfull \hbox (badness 10000) in paragraph at lines 2411--2412 []\T1/pcr/m/n/10.95 theano.tensor.nnet.abstract_conv Underfull \hbox (badness 10000) in paragraph at lines 2414--2415 []\T1/pcr/m/n/10.95 theano.tensor.nnet.neighbours \T1/ptm/m/n/10.95 (\T1/ptm/m/ it/10.95 mod- Underfull \hbox (badness 10000) in paragraph at lines 2418--2419 []\T1/pcr/m/n/10.95 theano.tensor.shared_randomstreams Underfull \hbox (badness 10000) in paragraph at lines 2428--2429 []\T1/pcr/m/n/10.95 to_one_hot() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 2432--2433 []\T1/pcr/m/n/10.95 trace() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor ._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2437--2438 []\T1/pcr/m/n/10.95 transform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor.opt.Canonizer Overfull \hbox (6.00555pt too wide) in paragraph at lines 2440--2442 []\T1/pcr/m/n/10.95 transpose() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.te nsor._tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2444--2446 []\T1/pcr/m/n/10.95 truncated_normal() Overfull \hbox (26.60251pt too wide) in paragraph at lines 2444--2446 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sandbox.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2449--2450 []\T1/pcr/m/n/10.95 type \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._t ensor_py_operators at- Underfull \hbox (badness 10000) in paragraph at lines 2450--2451 []\T1/pcr/m/n/10.95 typecode \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2451--2452 []\T1/pcr/m/n/10.95 TypedListConstant \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in [839] Underfull \hbox (badness 10000) in paragraph at lines 2452--2453 []\T1/pcr/m/n/10.95 TypedListVariable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 cla ss in Underfull \hbox (badness 10000) in paragraph at lines 2456--2458 []\T1/pcr/m/n/10.95 ultra_fast_sigmoid() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Underfull \hbox (badness 10000) in paragraph at lines 2459--2460 []\T1/pcr/m/n/10.95 undefined_grad() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in m od-ule Underfull \hbox (badness 10000) in paragraph at lines 2461--2462 []\T1/pcr/m/n/10.95 uniform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Overfull \hbox (47.81294pt too wide) in paragraph at lines 2462--2464 []\T1/pcr/m/n/10.95 uniform() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.sand box.rng_mrg.MRG_RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2466--2467 []\T1/pcr/m/n/10.95 unpack() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tenso r.opt.ShapeFeature Underfull \hbox (badness 10000) in paragraph at lines 2467--2468 []\T1/pcr/m/n/10.95 unpad_dims() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 2468--2469 []\T1/pcr/m/n/10.95 unravel_index() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mo d-ule Overfull \hbox (81.99802pt too wide) in paragraph at lines 2471--2473 []\T1/pcr/m/n/10.95 unshared2d() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor.nnet.abstract_conv.BaseAbstractConv Overfull \hbox (55.48802pt too wide) in paragraph at lines 2474--2476 []\T1/pcr/m/n/10.95 update \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor. shared_randomstreams.RandomVariable Underfull \hbox (badness 10000) in paragraph at lines 2476--2477 []\T1/pcr/m/n/10.95 update_shape() Underfull \hbox (badness 5374) in paragraph at lines 2476--2477 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor.opt.ShapeFeature method\T1/ ptm/m/n/10.95 ), Overfull \hbox (72.96417pt too wide) in paragraph at lines 2477--2479 []\T1/pcr/m/n/10.95 updates() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tens or.shared_randomstreams.RandomStreams Underfull \hbox (badness 10000) in paragraph at lines 2487--2488 []\T1/pcr/m/n/10.95 value \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type .PureType.Constant at- Underfull \hbox (badness 10000) in paragraph at lines 2488--2490 []\T1/pcr/m/n/10.95 value_validity_msg() Overfull \hbox (9.70728pt too wide) in paragraph at lines 2491--2493 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 2493--2494 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.EnumType Underfull \hbox (badness 10000) in paragraph at lines 2494--2495 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.go f.type.PureType Overfull \hbox (8.9188pt too wide) in paragraph at lines 2495--2497 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuArrayType Overfull \hbox (17.38297pt too wide) in paragraph at lines 2497--2499 []\T1/pcr/m/n/10.95 values_eq() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gp uarray.type.GpuContextType Underfull \hbox (badness 10000) in paragraph at lines 2500--2502 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2500--2502 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.params_type.ParamsType Underfull \hbox (badness 10000) in paragraph at lines 2502--2503 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2502--2503 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gof.type.EnumType method\T1/ptm/m/ n/10.95 ), Underfull \hbox (badness 10000) in paragraph at lines 2503--2504 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2504--2506 []\T1/pcr/m/n/10.95 values_eq_approx() Underfull \hbox (badness 10000) in paragraph at lines 2504--2506 \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuarray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2507--2508 []\T1/pcr/m/n/10.95 var() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.tensor._ tensor_py_operators Underfull \hbox (badness 10000) in paragraph at lines 2513--2514 []\T1/pcr/m/n/10.95 Variable \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.gpuar ray.type.GpuArrayType Underfull \hbox (badness 10000) in paragraph at lines 2515--2516 []\T1/pcr/m/n/10.95 variables_and_orphans() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10. 95 in mod-ule [840] Underfull \hbox (badness 10000) in paragraph at lines 2531--2533 []\T1/pcr/m/n/10.95 warn_input_not_reused \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con- Underfull \hbox (badness 8189) in paragraph at lines 2533--2534 []\T1/pcr/m/n/10.95 warn_no_version \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 con-f ig.config.cmodule at- Underfull \hbox (badness 10000) in paragraph at lines 2535--2536 []\T1/pcr/m/n/10.95 work_dtype() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-u le Underfull \hbox (badness 10000) in paragraph at lines 2538--2539 []\T1/pcr/m/n/10.95 write_w() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 in mod-ule Overfull \hbox (12.57555pt too wide) in paragraph at lines 2550--2552 []\T1/pcr/m/n/10.95 zeros_like() \T1/ptm/m/n/10.95 (\T1/ptm/m/it/10.95 theano.t ensor._tensor_py_operators [841]) (./theano.aux) LaTeX Warning: There were undefined references. ) (see the transcript file for additional information){/usr/share/texlive/texmf-d ist/fonts/enc/dvips/base/8r.enc} Output written on theano.pdf (845 pages, 3766250 bytes). Transcript written on theano.log. Latexmk: Index file 'theano.idx' was written Latexmk: Log file says output to 'theano.pdf' === TeX engine is 'pdfTeX' Latexmk: All targets (theano.pdf) are up-to-date make[2]: Leaving directory '/tmp/tmpvdg7sbe3' rst2html README.rst README.html cat NEWS.txt HISTORY.txt | gzip -n -9 > NEWS.gz make[1]: Leaving directory '/build/theano-1.0.3+dfsg' debian/rules override_dh_auto_test make[1]: Entering directory '/build/theano-1.0.3+dfsg' PYBUILD_SYSTEM=custom PYBUILD_TEST_ARGS='PYTHONPATH=. {interpreter} theano/tests/run_tests_in_batch.py' dh_auto_test I: pybuild base:217: PYTHONPATH=. python2.7 theano/tests/run_tests_in_batch.py #################### # COLLECTING TESTS # #################### ................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................. ---------------------------------------------------------------------- Ran 6433 tests in 15.503s OK ################################### # RUNNING TESTS IN BATCHES OF 100 # ################################### #1 test_compute_test_value (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #2 test_connection_pattern_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #3 test_connection_pattern_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #4 test_connection_pattern_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #5 test_connection_pattern_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #6 test_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #7 test_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #8 test_grad_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #9 test_grad_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #10 test_grad_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #11 test_grad_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #12 test_infer_shape (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #13 test_lop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #14 test_lop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #15 test_nested_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #16 test_nested_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #17 test_rop_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #18 test_rop_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #19 test_rop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #20 test_rop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #21 test_shared_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #22 test_shared_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #23 test_shared_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #24 test_shared_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #25 test_size_changes_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #26 test_size_changes_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #27 test_straightforward_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #28 test_straightforward_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #29 test_aliased_outputs_bad (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #30 test_aliased_outputs_ok (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #31 test_aliased_outputs_ok_output (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #32 test_aliased_outputs_ok_shadow (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #33 test_badviewmap_c (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #34 test_badviewmap_ref (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #35 test_badviewmap_slice (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #36 test_goodviewmap (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #37 test_check_isfinite (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok #38 test_check_isfinite_disabled (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok #39 test_f_contiguous (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok #40 test_f_contiguous_out (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok #41 test_output_broadcast_tensor (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok #42 theano.compile.tests.test_debugmode.test0 ... ok #43 theano.compile.tests.test_debugmode.test_badthunkoutput ... ok #44 theano.compile.tests.test_debugmode.test_badoptimization ... ok #45 theano.compile.tests.test_debugmode.test_badoptimization_opt_err ... ok #46 theano.compile.tests.test_debugmode.test_stochasticoptimization ... ok #47 theano.compile.tests.test_debugmode.test_just_c_code ... ok #48 theano.compile.tests.test_debugmode.test_baddestroymap ... ok #49 theano.compile.tests.test_debugmode.test_baddestroymap_c ... ok #50 test_explicit_shared_input (theano.compile.tests.test_function.TestFunctionIn) ... ok #51 test_in_allow_downcast_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok #52 test_in_allow_downcast_int (theano.compile.tests.test_function.TestFunctionIn) ... ok #53 test_in_allow_downcast_vector_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok #54 test_in_mutable (theano.compile.tests.test_function.TestFunctionIn) ... ok #55 test_in_shared_variable (theano.compile.tests.test_function.TestFunctionIn) ... ok #56 test_in_strict (theano.compile.tests.test_function.TestFunctionIn) ... ok #57 test_in_update (theano.compile.tests.test_function.TestFunctionIn) ... ok #58 test_in_update_shared (theano.compile.tests.test_function.TestFunctionIn) ... ok #59 test_in_update_wrong_dtype (theano.compile.tests.test_function.TestFunctionIn) ... ok #60 theano.compile.tests.test_function.test_function_dump ... ok #61 test_borrow_input (theano.compile.tests.test_function_module.T_function) ... ok #62 test_borrow_output (theano.compile.tests.test_function_module.T_function) ... ok #63 test_check_for_aliased_inputs (theano.compile.tests.test_function_module.T_function) ... ok #64 test_constant_output (theano.compile.tests.test_function_module.T_function) ... ok #65 test_copy (theano.compile.tests.test_function_module.T_function) ... ok #66 test_copy_delete_updates (theano.compile.tests.test_function_module.T_function) ... ok #67 test_copy_share_memory (theano.compile.tests.test_function_module.T_function) ... ok #68 test_default_values (theano.compile.tests.test_function_module.T_function) ... ok #69 test_disconnected_input (theano.compile.tests.test_function_module.T_function) ... ok #70 test_empty (theano.compile.tests.test_function_module.T_function) ... ok #71 test_extra_inputs (theano.compile.tests.test_function_module.T_function) ... ok #72 test_free (theano.compile.tests.test_function_module.T_function) ... ok #73 test_givens_input_var (theano.compile.tests.test_function_module.T_function) ... ok #74 test_input_anon_singleton (theano.compile.tests.test_function_module.T_function) ... ok #75 test_input_anon_unpack (theano.compile.tests.test_function_module.T_function) ... ok #76 test_masked_input (theano.compile.tests.test_function_module.T_function) ... ok #77 test_missing_inputs (theano.compile.tests.test_function_module.T_function) ... ok #78 test_naming_rule0 (theano.compile.tests.test_function_module.T_function) ... ok #79 test_naming_rule1 (theano.compile.tests.test_function_module.T_function) ... ok #80 test_naming_rule2 (theano.compile.tests.test_function_module.T_function) ... ok #81 test_naming_rule3 (theano.compile.tests.test_function_module.T_function) ... ok #82 test_naming_rule4 (theano.compile.tests.test_function_module.T_function) ... ok #83 test_none (theano.compile.tests.test_function_module.T_function) ... SKIP: See #254: Using None as function output leads to [] return value #84 test_same_names (theano.compile.tests.test_function_module.T_function) ... ok #85 test_shared_state0 (theano.compile.tests.test_function_module.T_function) ... ok #86 test_shared_state1 (theano.compile.tests.test_function_module.T_function) ... ok #87 test_shared_state2 (theano.compile.tests.test_function_module.T_function) ... ok #88 test_shared_state_not_implicit (theano.compile.tests.test_function_module.T_function) ... ok #89 test_state_access (theano.compile.tests.test_function_module.T_function) ... ok #90 test_swap_SharedVariable (theano.compile.tests.test_function_module.T_function) ... ok #91 test_swap_SharedVariable_with_given (theano.compile.tests.test_function_module.T_function) ... ok #92 test_weird_names (theano.compile.tests.test_function_module.T_function) ... ok #93 test_broken_pickle_with_shared (theano.compile.tests.test_function_module.T_picklefunction) ... ok #94 test_deepcopy (theano.compile.tests.test_function_module.T_picklefunction) ... ok #95 test_deepcopy_shared_container (theano.compile.tests.test_function_module.T_picklefunction) ... ok #96 test_deepcopy_trust_input (theano.compile.tests.test_function_module.T_picklefunction) ... ok #97 test_multiple_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok #98 test_optimizations_preserved (theano.compile.tests.test_function_module.T_picklefunction) ... ok #99 test_output_keys (theano.compile.tests.test_function_module.T_picklefunction) ... ok #100 test_pickle (theano.compile.tests.test_function_module.T_picklefunction) ... ok ---------------------------------------------------------------------- Ran 100 tests in 223.695s OK (SKIP=1) 2% done in 226.096s (failed: 0) #101 test_pickle_class_with_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok #102 theano.compile.tests.test_function_module.test_empty_givens_updates ... ok #103 theano.compile.tests.test_function_module.test_sync_update ... SKIP: pygpu not installed #104 test_function_name (theano.compile.tests.test_function_name.FunctionName) ... ok #105 test_nnet (theano.compile.tests.test_misc.TestNnet) ... ok #106 theano.compile.tests.test_mode.test_no_output_from_implace ... ok #107 theano.compile.tests.test_mode.test_including ... ok #108 test1 (theano.compile.tests.test_modes.T_bunch_of_modes) ... ok #109 test_1 (theano.compile.tests.test_modes.T_old_problem) ... ok #110 theano.compile.tests.test_monitormode.test_detect_nan ... ok #111 theano.compile.tests.test_monitormode.test_optimizer ... ok #112 theano.compile.tests.test_monitormode.test_not_inplace ... ok #113 theano.compile.tests.test_nanguardmode.test_NanGuardMode ... /build/theano-1.0.3+dfsg/theano/compile/nanguardmode.py:150: RuntimeWarning: All-NaN slice encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #114 test_1arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #115 test_2arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #116 test_infer_shape (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #117 test_pickle (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #118 theano.compile.tests.test_ops.test_shape_i_hash ... ok #119 test_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #120 test_no_aliasing_0 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #121 test_no_aliasing_1 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #122 test_no_aliasing_2 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #123 test_no_aliasing_2b (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #124 test_partial_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #125 test_potential_output_aliasing_induced_by_updates (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #126 test_shared_constructor_copies (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #127 test_sparse_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #128 test_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #129 test_allow_input_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #130 test_clone0 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #131 test_default_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #132 test_default_scalar_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #133 test_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #134 test_default_updates_chained (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #135 test_default_updates_expressions (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #136 test_default_updates_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #137 test_default_updates_multiple (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #138 test_default_updates_partial_graph (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #139 test_doc (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #140 test_duplicate_inputs (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #141 test_duplicate_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #142 test_givens (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #143 test_givens_replaces_shared_variable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #144 test_givens_replaces_shared_variable2 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #145 test_no_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #146 test_no_shared_as_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #147 test_param_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #148 test_param_allow_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #149 test_param_allow_downcast_vector_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #150 test_param_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #151 test_param_strict (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #152 test_shared (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #153 test_shared_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #154 test_update (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #155 test_update_equiv (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #156 test_update_err_broadcast (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #157 test_update_same (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #158 test1 (theano.compile.tests.test_pfunc.Test_rebuild_strict) ... ok #159 test_ifelse (theano.compile.tests.test_profiling.Test_profiling) ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:887: UserWarning: CVM does not support memory profile, using Stack VM. 'CVM does not support memory profile, using Stack VM.') ok #160 test_profiling (theano.compile.tests.test_profiling.Test_profiling) ... ok #161 test_create_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #162 test_ctors (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #163 test_err_symbolic_variable (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #164 test_scalar_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #165 test_scalar_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #166 test_strict_generic (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #167 test_tensor_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #168 test_tensor_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #169 test_use_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #170 test_mlp (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #171 test_mlp_profiled (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #172 test_ofg (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #173 test_ofg_nested (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #174 test_ofg_simple (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #175 test_mlp (theano.d3viz.tests.test_formatting.TestPyDotFormatter) ... ok #176 test_ofg (theano.d3viz.tests.test_formatting.TestPyDotFormatter) ... ok #177 test_ofg_nested (theano.d3viz.tests.test_formatting.TestPyDotFormatter) ... ok #178 theano.gof.tests.test_cc.test_clinker_straightforward ... ok #179 theano.gof.tests.test_cc.test_clinker_literal_inlining ... ok #180 theano.gof.tests.test_cc.test_clinker_literal_cache ... ok #181 theano.gof.tests.test_cc.test_clinker_single_node ... ok #182 theano.gof.tests.test_cc.test_clinker_dups ... ok #183 theano.gof.tests.test_cc.test_clinker_not_used_inputs ... ok #184 theano.gof.tests.test_cc.test_clinker_dups_inner ... ok #185 theano.gof.tests.test_cc.test_opwiseclinker_straightforward ... ok #186 theano.gof.tests.test_cc.test_opwiseclinker_constant ... ok #187 theano.gof.tests.test_cc.test_duallinker_straightforward ... ok #188 theano.gof.tests.test_cc.test_duallinker_mismatch ... ok #189 theano.gof.tests.test_cc.test_c_fail_error ... ok #190 theano.gof.tests.test_cc.test_shared_input_output ... ok #191 theano.gof.tests.test_cmodule.test_inter_process_cache ... ok #192 theano.gof.tests.test_cmodule.test_flag_detection ... ok #193 theano.gof.tests.test_compiledir.test_short_platform ... ok #194 test_compute_flag (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #195 test_constant (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #196 test_disabled_during_compilation (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #197 test_empty_elemwise (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #198 test_incorrect_type (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #199 test_ndarray (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #200 test_no_c_code (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok ---------------------------------------------------------------------- Ran 100 tests in 158.781s OK (SKIP=1) 0.0581646137166 0.0581646137166 0.0581646137166 0.0581646137166 4% done in 161.727s (failed: 0) #201 test_no_perform (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #202 test_overided_function (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #203 test_scan (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #204 test_scan_err1 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #205 test_scan_err2 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #206 test_shared (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #207 test_string_var (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #208 test_variable_only (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #209 theano.gof.tests.test_destroyhandler.test_value_repl_2 ... ok #210 theano.gof.tests.test_destroyhandler.test_misc ... ok #211 theano.gof.tests.test_destroyhandler.test_aliased_inputs_replacement ... ok #212 theano.gof.tests.test_destroyhandler.test_indestructible ... ok #213 theano.gof.tests.test_destroyhandler.test_usage_loop_through_views_2 ... ok #214 theano.gof.tests.test_destroyhandler.test_destroyers_loop ... ok #215 theano.gof.tests.test_destroyhandler.test_aliased_inputs ... ok #216 theano.gof.tests.test_destroyhandler.test_aliased_inputs2 ... ok #217 theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate ... ok #218 theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate2 ... ok #219 theano.gof.tests.test_destroyhandler.test_same_aliased_inputs_ignored ... ok #220 theano.gof.tests.test_destroyhandler.test_different_aliased_inputs_ignored ... ok #221 theano.gof.tests.test_destroyhandler.test_indestructible_through_views ... ok #222 theano.gof.tests.test_destroyhandler.test_indirect ... ok #223 theano.gof.tests.test_destroyhandler.test_indirect_2 ... ok #224 theano.gof.tests.test_destroyhandler.test_long_destroyers_loop ... ok #225 theano.gof.tests.test_destroyhandler.test_misc_2 ... ok #226 theano.gof.tests.test_destroyhandler.test_multi_destroyers ... ok #227 theano.gof.tests.test_destroyhandler.test_multi_destroyers_through_views ... ok #228 theano.gof.tests.test_destroyhandler.test_repair_destroy_path ... ok #229 theano.gof.tests.test_destroyhandler.test_usage_loop ... ok #230 theano.gof.tests.test_destroyhandler.test_usage_loop_through_views ... ok #231 theano.gof.tests.test_destroyhandler.test_usage_loop_insert_views ... ok #232 theano.gof.tests.test_destroyhandler.test_value_repl ... ok #233 theano.gof.tests.test_destroyhandler.test_multiple_inplace ... ok #234 test_clone (theano.gof.tests.test_fg.TFunctionGraph) ... ok #235 test_constant_cache_error (theano.gof.tests.test_fg.TFunctionGraph) ... ok #236 test_node_outputs_not_used (theano.gof.tests.test_fg.TFunctionGraph) ... ok #237 test_pickle (theano.gof.tests.test_fg.TFunctionGraph) ... ok #238 theano.gof.tests.test_graph.TestAutoName.test_auto_name ... ok #239 theano.gof.tests.test_graph.TestAutoName.test_clone ... ok #240 theano.gof.tests.test_graph.TestAutoName.test_constant ... ok #241 theano.gof.tests.test_graph.TestAutoName.test_randomvariable ... ok #242 theano.gof.tests.test_graph.TestAutoName.test_sparsevariable ... ok #243 theano.gof.tests.test_graph.TestAutoName.test_tensorvariable ... ok #244 theano.gof.tests.test_graph.TestClone.test_accurate ... ok #245 theano.gof.tests.test_graph.TestClone.test_constant ... ok #246 theano.gof.tests.test_graph.TestClone.test_copy ... ok #247 theano.gof.tests.test_graph.TestClone.test_not_destructive ... ok #248 test_eval (theano.gof.tests.test_graph.TestEval) ... ok #249 theano.gof.tests.test_graph.TestInputs.test_inputs ... ok #250 theano.gof.tests.test_graph.TestInputs.test_inputs_deep ... ok #251 test_full_graph (theano.gof.tests.test_graph.TestIsSameGraph) ... ok #252 test_merge_only (theano.gof.tests.test_graph.TestIsSameGraph) ... ok #253 test_single_var (theano.gof.tests.test_graph.TestIsSameGraph) ... ok #254 theano.gof.tests.test_graph.TestStr.test_as_string ... ok #255 theano.gof.tests.test_graph.TestStr.test_as_string_deep ... ok #256 theano.gof.tests.test_graph.TestStr.test_cutoff ... ok #257 theano.gof.tests.test_graph.TestStr.test_multiple_references ... ok #258 theano.gof.tests.test_graph.TestToposort.test_0 ... ok #259 theano.gof.tests.test_graph.TestToposort.test_1 ... ok #260 theano.gof.tests.test_graph.TestToposort.test_2 ... ok #261 theano.gof.tests.test_graph.TestToposort.test_3 ... ok #262 theano.gof.tests.test_graph.TestToposort.test_4 ... ok #263 theano.gof.tests.test_graph.TestToposort.test_5 ... ok #264 theano.gof.tests.test_graph_opt_caching.test_graph_opt_caching ... ok #265 theano.gof.tests.test_lazy.test_ifelse ... ok #266 theano.gof.tests.test_lazy.more_complex_test ... ok #267 test_constant (theano.gof.tests.test_link.TestPerformLinker) ... ok #268 test_function (theano.gof.tests.test_link.TestPerformLinker) ... ok #269 test_input_dependency0 (theano.gof.tests.test_link.TestPerformLinker) ... ok #270 test_input_output_same (theano.gof.tests.test_link.TestPerformLinker) ... ok #271 test_skiphole (theano.gof.tests.test_link.TestPerformLinker) ... ok #272 test_thunk (theano.gof.tests.test_link.TestPerformLinker) ... ok #273 test_0 (theano.gof.tests.test_link.TestWrapLinker) ... ok #274 test_1 (theano.gof.tests.test_link.TestWrapLinker) ... ok #275 theano.gof.tests.test_link.test_sort_schedule_fn ... ok #276 theano.gof.tests.test_link.test_container_deepcopy ... ok #277 test_no_c_code (theano.gof.tests.test_op.TestMakeThunk) ... ok #278 test_no_make_node (theano.gof.tests.test_op.TestMakeThunk) ... ok #279 test_no_perform (theano.gof.tests.test_op.TestMakeThunk) ... ok #280 theano.gof.tests.test_op.TestOp.test_op_no_input ... ok #281 theano.gof.tests.test_op.TestOp.test_op_struct ... ok #282 theano.gof.tests.test_op.TestOp.test_sanity_0 ... ok #283 theano.gof.tests.test_op.TestOp.test_validate ... ok #284 theano.gof.tests.test_op.test_test_value_python_objects ... ok #285 theano.gof.tests.test_op.test_test_value_ndarray ... ok #286 theano.gof.tests.test_op.test_test_value_constant ... ok #287 theano.gof.tests.test_op.test_test_value_shared ... ok #288 theano.gof.tests.test_op.test_test_value_op ... ok #289 get_debug_values should return [] when debugger is off ... ok #290 theano.gof.tests.test_op.test_get_det_debug_values_ignore ... ok #291 theano.gof.tests.test_op.test_get_debug_values_success ... ok #292 theano.gof.tests.test_op.test_get_debug_values_exc ... ok #293 theano.gof.tests.test_op.test_debug_error_message ... ok #294 theano.gof.tests.test_opt.TestEquilibrium.test_1 ... ok #295 theano.gof.tests.test_opt.TestEquilibrium.test_2 ... ok #296 theano.gof.tests.test_opt.TestEquilibrium.test_low_use_ratio ... ok #297 theano.gof.tests.test_opt.TestMergeOptimizer.test_both_assert_merge_identical ... ok #298 theano.gof.tests.test_opt.TestMergeOptimizer.test_constant_merging ... ok #299 theano.gof.tests.test_opt.TestMergeOptimizer.test_deep_merge ... ok #300 theano.gof.tests.test_opt.TestMergeOptimizer.test_identical_constant_args ... ok ---------------------------------------------------------------------- Ran 100 tests in 191.842s OK 6% done in 194.191s (failed: 0) #301 theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_noinput ... ok #302 theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_outputs ... ok #303 theano.gof.tests.test_opt.TestMergeOptimizer.test_multiple_merges ... ok #304 theano.gof.tests.test_opt.TestMergeOptimizer.test_no_merge ... ok #305 theano.gof.tests.test_opt.TestMergeOptimizer.test_straightforward ... ok #306 theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward ... ok #307 theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward_2 ... ok #308 theano.gof.tests.test_opt.TestPatternOptimizer.test_ambiguous ... ok #309 theano.gof.tests.test_opt.TestPatternOptimizer.test_constant_unification ... ok #310 theano.gof.tests.test_opt.TestPatternOptimizer.test_constraints ... ok #311 theano.gof.tests.test_opt.TestPatternOptimizer.test_eq ... ok #312 theano.gof.tests.test_opt.TestPatternOptimizer.test_expand ... ok #313 theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same ... ok #314 theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same_illegal ... ok #315 theano.gof.tests.test_opt.TestPatternOptimizer.test_multi ... ok #316 theano.gof.tests.test_opt.TestPatternOptimizer.test_multiple ... ok #317 theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_even ... ok #318 theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_odd ... ok #319 theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_out_pattern ... ok #320 theano.gof.tests.test_opt.TestPatternOptimizer.test_no_recurse ... ok #321 theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_output ... ok #322 theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_subgraph ... ok #323 theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_1 ... ok #324 theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_2 ... ok #325 theano.gof.tests.test_opt.test_pre_constant_merge_slice ... ok #326 test_0 (theano.gof.tests.test_optdb.Test_DB) ... ok #327 test_hash_and_eq_params (theano.gof.tests.test_params_type.TestParamsType) ... ok #328 test_hash_and_eq_params_type (theano.gof.tests.test_params_type.TestParamsType) ... ok #329 test_op_params (theano.gof.tests.test_params_type.TestParamsType) ... ok #330 test_params_type_filtering (theano.gof.tests.test_params_type.TestParamsType) ... ok #331 test_params_type_with_enums (theano.gof.tests.test_params_type.TestParamsType) ... ok #332 theano.gof.tests.test_sched.test_dependence ... ok #333 theano.gof.tests.test_sched.test_sort_apply_nodes ... ok #334 theano.gof.tests.test_sched.test_reverse_dict ... ok #335 theano.gof.tests.test_sched.test__toposort ... ok #336 theano.gof.tests.test_sched.test_posort_easy ... ok #337 theano.gof.tests.test_sched.test_posort ... ok #338 theano.gof.tests.test_toolbox.TestNodeFinder.test_straightforward ... ok #339 test_enum_class (theano.gof.tests.test_types.TestEnumTypes) ... ok #340 test_op_with_cenumtype (theano.gof.tests.test_types.TestEnumTypes) ... ok #341 test_op_with_cenumtype_debug (theano.gof.tests.test_types.TestEnumTypes) ... ok #342 test_op_with_enumlist (theano.gof.tests.test_types.TestEnumTypes) ... ok #343 theano.gof.tests.test_types.test_cdata ... ok #344 theano.gof.tests.test_utils.test_give_variables_names ... ok #345 theano.gof.tests.test_utils.test_give_variables_names_idempotence ... ok #346 theano.gof.tests.test_utils.test_give_variables_names_small ... ok #347 theano.gof.tests.test_utils.test_remove ... ok #348 theano.gof.tests.test_utils.test_stack_trace ... ok #349 test_callback (theano.gof.tests.test_vm.TestCallbacks) ... ok #350 test_callback_with_ifelse (theano.gof.tests.test_vm.TestCallbacks) ... ok #351 theano.gof.tests.test_vm.test_c_thunks ... ok #352 theano.gof.tests.test_vm.test_speed ... ok #353 theano.gof.tests.test_vm.test_speed_lazy ... ok #354 theano.gof.tests.test_vm.test_partial_function ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok #355 theano.gof.tests.test_vm.test_partial_function_with_output_keys ... ok #356 theano.gof.tests.test_vm.test_partial_function_with_updates ... ok #357 theano.gof.tests.test_vm.test_allow_gc_cvm ... ok #358 theano.gof.tests.test_vm.test_vm_gc ... ok #359 theano.gof.tests.test_vm.test_reallocation ... ok #360 theano.gof.tests.test_vm.test_no_recycling ... ok #365 theano.gpuarray.tests.test_cgpukernelbase.test_cgpukernelbase ... SKIP: pygpu not installed #380 theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag1 ... ok #381 theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag2 ... /build/theano-1.0.3+dfsg/theano/gpuarray/type.py:895: 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 #389 theano.misc.tests.test_may_share_memory.test_may_share_memory ... ok #390 theano.misc.tests.test_may_share_memory.test_may_share_memory_scipy ... ok #391 test_dump_load_mrg (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok #392 test_dump_zip_names (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok #393 test0 (theano.misc.tests.test_pkl_utils.TestStripPickler) ... ok #395 theano.sandbox.linalg.tests.test_linalg.test_rop_lop ... ok #396 theano.sandbox.linalg.tests.test_linalg.test_spectral_radius_bound ... ok #397 theano.sandbox.linalg.tests.test_linalg.test_transinv_to_invtrans ... ok #398 theano.sandbox.linalg.tests.test_linalg.test_tag_solve_triangular ... ok #399 theano.sandbox.linalg.tests.test_linalg.test_matrix_inverse_solve ... ok #400 theano.sandbox.tests.test_multinomial.test_n_samples_1 ... ok #361 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #362 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #363 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #364 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #366 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #367 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #368 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #369 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #370 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #371 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #372 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #373 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #374 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #375 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #376 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #377 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #378 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #379 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #382 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #383 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #384 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #385 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #386 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #387 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #388 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #394 Failure: SkipTest (You are importing theano.sandbox.cuda. This is the old GPU back-end and is removed from Theano. Use Theano 0.9 to use it. Even better, transition to the new GPU back-end! See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29) ... SKIP: You are importing theano.sandbox.cuda. This is the old GPU back-end and is removed from Theano. Use Theano 0.9 to use it. Even better, transition to the new GPU back-end! See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29 ---------------------------------------------------------------------- Ran 100 tests in 64.993s OK (SKIP=27) 8% done in 67.597s (failed: 0) #401 theano.sandbox.tests.test_multinomial.test_n_samples_2 ... ok #402 theano.sandbox.tests.test_multinomial.test_n_samples_compatibility ... ok #403 theano.sandbox.tests.test_multinomial.test_multinomial_0 ... ok #404 theano.sandbox.tests.test_multinomial.test_multinomial_large ... ok #405 theano.sandbox.tests.test_multinomial.test_multinomial_dtypes ... ok #406 test_fail_select_alot (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok #407 test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok #408 test_select_proportional_to_weight (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok #409 test_fail_select_alot (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:1031: 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 #410 test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok #411 test_select_proportional_to_weight (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok #412 test_unpickle_legacy_op (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok #413 test_bad_size (theano.sandbox.tests.test_rng_mrg.T_MRG) ... ok #414 theano.sandbox.tests.test_rng_mrg.test_deterministic ... ok #415 theano.sandbox.tests.test_rng_mrg.test_consistency_randomstreams ... ok #416 theano.sandbox.tests.test_rng_mrg.test_get_substream_rstates ... ok #417 theano.sandbox.tests.test_rng_mrg.test_consistency_cpu_serial ... ok #418 theano.sandbox.tests.test_rng_mrg.test_consistency_cpu_parallel ... ok #419 theano.sandbox.tests.test_rng_mrg.test_uniform ... ok #420 theano.sandbox.tests.test_rng_mrg.test_broadcastable ... ok #421 theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (500, 50), (500, 50), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, Shape.0, (500, 50), [], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (), (), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (500, 50), (500, 50), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, Shape.0, (500, 50), [], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (), (), [], [], 1000, 0.01) ... ok #422 theano.sandbox.tests.test_rng_mrg.test_normal0 ... ok #423 theano.sandbox.tests.test_rng_mrg.test_normal_truncation ... ok #424 theano.sandbox.tests.test_rng_mrg.test_truncated_normal ... ok #425 theano.sandbox.tests.test_rng_mrg.test_multinomial ... ok #426 theano.sandbox.tests.test_rng_mrg.test_multinomial_n_samples ... ok #427 theano.sandbox.tests.test_rng_mrg.test_multiple_rng_aliasing ... ok #428 theano.sandbox.tests.test_rng_mrg.test_random_state_transfer ... ok #429 theano.sandbox.tests.test_rng_mrg.test_gradient_scan ... ok #430 theano.sandbox.tests.test_rng_mrg.test_multMatVect ... ok #431 theano.sandbox.tests.test_rng_mrg.test_seed_fn ... ok #432 theano.sandbox.tests.test_rng_mrg.test_overflow_cpu ... ok #433 theano.sandbox.tests.test_rng_mrg.test_undefined_grad ... ok #434 theano.sandbox.tests.test_rng_mrg.test_f16_nonzero ... ok #435 theano.sandbox.tests.test_rng_mrg.test_target_parameter ... ok #436 test_straightforward (theano.scalar.tests.test_basic.test_ScalarOps) ... ok #437 test_fail (theano.scalar.tests.test_basic.test_complex_mod) ... ok #438 test_composite_clone_float32 (theano.scalar.tests.test_basic.test_composite) ... ok #439 test_composite_printing (theano.scalar.tests.test_basic.test_composite) ... ok #440 test_flatten (theano.scalar.tests.test_basic.test_composite) ... ok #441 test_make_node_continue_graph (theano.scalar.tests.test_basic.test_composite) ... ok #442 test_many_outputs (theano.scalar.tests.test_basic.test_composite) ... ok #443 test_straightforward (theano.scalar.tests.test_basic.test_composite) ... ok #444 test_with_constants (theano.scalar.tests.test_basic.test_composite) ... ok #445 test_0 (theano.scalar.tests.test_basic.test_div) ... ok #446 test_and (theano.scalar.tests.test_basic.test_logical) ... ok #447 test_eq (theano.scalar.tests.test_basic.test_logical) ... ok #448 test_ge (theano.scalar.tests.test_basic.test_logical) ... ok #449 test_gt (theano.scalar.tests.test_basic.test_logical) ... ok #450 test_le (theano.scalar.tests.test_basic.test_logical) ... ok #451 test_lt (theano.scalar.tests.test_basic.test_logical) ... ok #452 test_neq (theano.scalar.tests.test_basic.test_logical) ... ok #453 test_not (theano.scalar.tests.test_basic.test_logical) ... ok #454 test_or (theano.scalar.tests.test_basic.test_logical) ... ok #455 test_xor (theano.scalar.tests.test_basic.test_logical) ... ok #456 test_arctan2 ... ok #457 theano.scalar.tests.test_basic.test_upgrade_to_float.test_true_div ... ok #458 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 #459 theano.scalar.tests.test_basic.test_grad_gt ... ok #460 theano.scalar.tests.test_basic.test_grad_switch ... ok #461 theano.scalar.tests.test_basic.test_grad_identity ... ok #462 theano.scalar.tests.test_basic.test_grad_inrange ... ok #463 theano.scalar.tests.test_basic.test_grad_abs ... ok #464 theano.scalar.tests.test_basic.test_constant ... ok #466 test_divide_floats (theano.scalar.tests.test_div_future.test_FutureDiv) ... ok #467 test_divide_floats (theano.scalar.tests.test_div_no_future.test_FutureDiv) ... ok #468 test_alloc_inputs1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #469 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. #470 test_alloc_inputs3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #471 test_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok #472 test_borrow_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok #473 test_bugFunctioProvidesIntermediateNodesAsInputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #474 test_clone (theano.scan_module.tests.test_scan.T_Scan) ... ok #475 test_cloning_no_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #476 test_cloning_no_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #477 test_cloning_replace_not_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #478 test_cloning_replace_not_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #479 test_cloning_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #480 test_cloning_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #481 test_computing_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok #482 test_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok #483 test_connection_pattern2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #484 test_crash_nonseq_grad (theano.scan_module.tests.test_scan.T_Scan) ... ok #485 test_disconnected_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok #486 test_disconnected_gradient2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #487 test_disconnected_gradient3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #488 test_dot_optimization (theano.scan_module.tests.test_scan.T_Scan) ... ok #489 test_draw_as_input_to_scan (theano.scan_module.tests.test_scan.T_Scan) ... ok #490 test_eliminate_nonseqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #491 test_eliminate_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #492 test_foldl_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok #493 test_foldr_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok #494 test_generator_one_output_scalar (theano.scan_module.tests.test_scan.T_Scan) ... ok #495 test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan) ... ok #496 test_grad_bug_disconnected_input (theano.scan_module.tests.test_scan.T_Scan) ... ok #497 test_grad_connectivity_matrix (theano.scan_module.tests.test_scan.T_Scan) ... ok #498 test_grad_dtype_change (theano.scan_module.tests.test_scan.T_Scan) ... ok #499 test_grad_duplicate_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #500 test_grad_duplicate_outputs_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok #465 Failure: SkipTest (optional package sympy disabled) ... SKIP: optional package sympy disabled ---------------------------------------------------------------------- Ran 127 tests in 794.932s OK (SKIP=2) 11% done in 797.253s (failed: 0) #501 test_grad_find_input (theano.scan_module.tests.test_scan.T_Scan) ... ok #502 test_grad_grad_mitsot_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok #503 test_grad_multiple_outs (theano.scan_module.tests.test_scan.T_Scan) ... ok #504 test_grad_multiple_outs_some_disconnected (theano.scan_module.tests.test_scan.T_Scan) ... ok #505 test_grad_multiple_outs_some_disconnected_2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #506 test_grad_multiple_outs_some_truncate (theano.scan_module.tests.test_scan.T_Scan) ... ok #507 test_grad_multiple_outs_some_uncomputable (theano.scan_module.tests.test_scan.T_Scan) ... ok #508 test_grad_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... . . . ok #509 test_grad_multiple_outs_taps_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok #510 test_grad_multiple_seqs_different_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... ok #511 test_grad_multiple_taps_state (theano.scan_module.tests.test_scan.T_Scan) ... ok #512 test_grad_numeric_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #513 test_grad_of_grad_of_state (theano.scan_module.tests.test_scan.T_Scan) ... ok #514 test_grad_of_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #515 test_grad_one_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #516 test_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... ok #517 test_hash (theano.scan_module.tests.test_scan.T_Scan) ... ok #518 test_hessian_bug_grad_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... . ok #519 test_infer_shape (theano.scan_module.tests.test_scan.T_Scan) ... ok #520 test_infer_shape2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #521 test_infershape_nsteps_smaller_seq_length (theano.scan_module.tests.test_scan.T_Scan) ... ok #522 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 #523 test_inner_storage_leak (theano.scan_module.tests.test_scan.T_Scan) ... ok #524 test_inplace1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #525 test_inplace2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #526 test_inplace3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #527 test_map (theano.scan_module.tests.test_scan.T_Scan) ... ok #528 test_map_functionality (theano.scan_module.tests.test_scan.T_Scan) ... ok #529 test_memory_aliasing_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #530 test_memory_reuse_with_outputs_as_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #531 test_merge (theano.scan_module.tests.test_scan.T_Scan) ... ok #532 test_merge_3scans (theano.scan_module.tests.test_scan.T_Scan) ... ok #533 test_monitor_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok #534 test_multiple_inputs_multiple_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #535 test_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... ok #536 test_oinp_iinp_iout_oout_mappings (theano.scan_module.tests.test_scan.T_Scan) ... ok #537 test_one_sequence_one_output_weights (theano.scan_module.tests.test_scan.T_Scan) ... ok #538 test_one_sequence_one_output_weights_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #539 test_only_nonseq_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #540 test_only_shared_no_input_no_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #541 test_opt_order (theano.scan_module.tests.test_scan.T_Scan) ... ok #542 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. #543 test_past_future_taps_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #544 test_pickling (theano.scan_module.tests.test_scan.T_Scan) ... ok #545 test_pregreedy_optimizer (theano.scan_module.tests.test_scan.T_Scan) ... ok #546 test_pushout (theano.scan_module.tests.test_scan.T_Scan) ... ok #547 test_pushout_all (theano.scan_module.tests.test_scan.T_Scan) ... ok #548 test_pushout_dot (theano.scan_module.tests.test_scan.T_Scan) ... ok #549 test_pushout_nomodif (theano.scan_module.tests.test_scan.T_Scan) ... ok #550 test_pushout_nonseq (theano.scan_module.tests.test_scan.T_Scan) ... ok #551 test_pushout_seqs (theano.scan_module.tests.test_scan.T_Scan) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #552 test_pushout_seqs2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #553 test_pushout_while (theano.scan_module.tests.test_scan.T_Scan) ... ok #554 test_reduce (theano.scan_module.tests.test_scan.T_Scan) ... ok #555 test_reduce_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok #556 test_remove_constants_and_unused_inputs_scan_non_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #557 test_remove_constants_and_unused_inputs_scan_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #558 test_remove_stuff (theano.scan_module.tests.test_scan.T_Scan) ... ok #559 test_reordering (theano.scan_module.tests.test_scan.T_Scan) ... ok #560 test_return_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #561 test_rop (theano.scan_module.tests.test_scan.T_Scan) ... ok #562 test_rop2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #563 test_rop_mitmot (theano.scan_module.tests.test_scan.T_Scan) ... ok #564 test_same (theano.scan_module.tests.test_scan.T_Scan) ... ok #565 test_save_mem (theano.scan_module.tests.test_scan.T_Scan) ... ok #566 test_save_mem_reduced_number_of_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #567 test_save_mem_store_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #568 test_savemem_does_not_duplicate_number_of_scan_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok #569 test_savemem_opt (theano.scan_module.tests.test_scan.T_Scan) ... ok #570 test_savemem_opt_0_step (theano.scan_module.tests.test_scan.T_Scan) ... ok #571 test_scan_as_tensor_on_gradients (theano.scan_module.tests.test_scan.T_Scan) ... ok #572 test_scan_extra_inputs_hessian (theano.scan_module.tests.test_scan.T_Scan) ... ok #573 test_scan_merge_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok #574 test_scan_output_padding (theano.scan_module.tests.test_scan.T_Scan) ... ok #575 test_seq_tap_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok #576 test_sequence_dict (theano.scan_module.tests.test_scan.T_Scan) ... ok #577 test_shared_arguments_with_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #578 test_shared_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #579 test_simple_shared_mrg_random (theano.scan_module.tests.test_scan.T_Scan) ... ok #580 test_simple_shared_random (theano.scan_module.tests.test_scan.T_Scan) ... ok #581 test_strict_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok #582 test_strict_mode_ex (theano.scan_module.tests.test_scan.T_Scan) ... ok #583 test_subtensor_multiple_slices (theano.scan_module.tests.test_scan.T_Scan) ... ok #584 test_use_scan_direct_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #585 test_use_scan_direct_output2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #586 test_using_negative_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok #587 test_using_taps_input_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #588 test_using_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok #589 test_verify_second_grad_mitsot1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #590 test_verify_second_grad_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok #591 test_while0 (theano.scan_module.tests.test_scan.T_Scan) ... ok #592 test_while1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #593 test_while2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #594 test_while_infershape (theano.scan_module.tests.test_scan.T_Scan) ... ok #595 test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #596 test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #597 test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #598 test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #599 test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #600 test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed ---------------------------------------------------------------------- Ran 100 tests in 2237.286s OK (SKIP=8) 13% done in 2241.238s (failed: 0) #601 test_grad_until (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #602 test_grad_until_and_truncate (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #603 test_grad_until_and_truncate_sequence_taps (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #604 test_grad_until_ndim_greater_one (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #605 test_raise_error (theano.scan_module.tests.test_scan.TestInconsistentBroadcast) ... ok #606 test_raise_error (theano.scan_module.tests.test_scan.TestMissingInputError) ... ok #607 theano.scan_module.tests.test_scan.test_speed ... ok #608 theano.scan_module.tests.test_scan.test_speed_rnn ... ok #609 theano.scan_module.tests.test_scan.test_speed_batchrnn ... ok #610 theano.scan_module.tests.test_scan.test_compute_test_value ... ok #611 theano.scan_module.tests.test_scan.test_compute_test_value_nonseq ... ok #612 theano.scan_module.tests.test_scan.test_compute_test_value_grad ... ok #613 theano.scan_module.tests.test_scan.test_compute_test_value_grad_cast ... ok #614 theano.scan_module.tests.test_scan.test_constant_folding_n_steps ... ok #615 theano.scan_module.tests.test_scan.test_outputs_taps_check ... ok #616 theano.scan_module.tests.test_scan.test_default_value_broadcasted ... ok #617 theano.scan_module.tests.test_scan.test_condition_hidden_inp ... ok #618 theano.scan_module.tests.test_scan.test_mintap_onestep ... ok #619 test_backward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #620 test_forward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #621 test_memory (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... SKIP: Requires pygpu. #622 test_taps_error (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #623 test_batch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok #624 test_nobatch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok #625 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_nitsot_output ... ok #626 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_not_output ... ok #627 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_sitsot_output ... ok #628 theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_machine_translation ... ok #629 theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_non_zero_init ... ok #630 test_leaf (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #631 test_leaf_inside_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #632 test_opfromgraph (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #633 test_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #634 test_scan_with_shared_update (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #635 test_scan_with_shared_update2 (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #636 theano.scan_module.tests.test_scan_utils.test_equal_compuations ... ok #637 test_convolution (theano.sparse.sandbox.test_sp.TestSP) ... ok #638 test_maxpool (theano.sparse.sandbox.test_sp.TestSP) ... ok #639 test_multilayer_conv (theano.sparse.sandbox.test_sp.TestSP) ... ok #640 test_grad (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #641 test_infer_shape (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #642 test_op (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #643 test_grad (theano.sparse.tests.test_basic.ArcsinTester) ... ok #644 test_op (theano.sparse.tests.test_basic.ArcsinTester) ... ok #645 test_grad (theano.sparse.tests.test_basic.ArcsinhTester) ... ok #646 test_op (theano.sparse.tests.test_basic.ArcsinhTester) ... ok #647 test_grad (theano.sparse.tests.test_basic.ArctanTester) ... ok #648 test_op (theano.sparse.tests.test_basic.ArctanTester) ... ok #649 test_grad (theano.sparse.tests.test_basic.ArctanhTester) ... ok #650 test_op (theano.sparse.tests.test_basic.ArctanhTester) ... ok #651 test_cast (theano.sparse.tests.test_basic.CastTester) ... /usr/lib/python2.7/dist-packages/scipy/sparse/data.py:71: ComplexWarning: Casting complex values to real discards the imaginary part self._deduped_data().astype(dtype, casting=casting, copy=copy), /build/theano-1.0.3+dfsg/theano/sparse/tests/test_basic.py:2430: ComplexWarning: Casting complex values to real discards the imaginary part expected = data.toarray().astype(o_dtype) ok #652 test_grad (theano.sparse.tests.test_basic.CastTester) ... ok #653 test_infer_shape (theano.sparse.tests.test_basic.CastTester) ... ok #654 test_op (theano.sparse.tests.test_basic.CeilTester) ... ok #655 test_grad (theano.sparse.tests.test_basic.CleanTester) ... ok #656 test_op (theano.sparse.tests.test_basic.CleanTester) ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:747: 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:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #657 test_grad (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #658 test_infer_shape (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #659 test_op (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #660 test_op (theano.sparse.tests.test_basic.ConjTester) ... ok #661 test_grad (theano.sparse.tests.test_basic.Deg2radTester) ... ok #662 test_op (theano.sparse.tests.test_basic.Deg2radTester) ... ok #663 test_grad (theano.sparse.tests.test_basic.DiagTester) ... ok #664 test_infer_shape (theano.sparse.tests.test_basic.DiagTester) ... ok #665 test_op (theano.sparse.tests.test_basic.DiagTester) ... ok #666 test_csc_dense (theano.sparse.tests.test_basic.DotTests) ... ok #667 test_csr_dense (theano.sparse.tests.test_basic.DotTests) ... ok #668 test_csr_dense_grad (theano.sparse.tests.test_basic.DotTests) ... ok #669 test_int32_dtype (theano.sparse.tests.test_basic.DotTests) ... ok #670 test_sparse_sparse (theano.sparse.tests.test_basic.DotTests) ... ok #671 test_grad (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #672 test_infer_shape (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #673 test_op (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #674 test_grad (theano.sparse.tests.test_basic.Expm1Tester) ... ok #675 test_op (theano.sparse.tests.test_basic.Expm1Tester) ... ok #676 test_op (theano.sparse.tests.test_basic.FloorTester) ... ok #677 test_grad (theano.sparse.tests.test_basic.HStackTester) ... ok #678 test_infer_shape (theano.sparse.tests.test_basic.HStackTester) ... ok #679 test_op (theano.sparse.tests.test_basic.HStackTester) ... ok #680 test_grad (theano.sparse.tests.test_basic.Log1pTester) ... ok #681 test_op (theano.sparse.tests.test_basic.Log1pTester) ... ok #682 test_mul_s_v (theano.sparse.tests.test_basic.MulSVTester) ... ok #683 test_mul_s_v_grad (theano.sparse.tests.test_basic.MulSVTester) ... ok #684 test_grad (theano.sparse.tests.test_basic.Rad2degTester) ... ok #685 test_op (theano.sparse.tests.test_basic.Rad2degTester) ... ok #686 test_grad (theano.sparse.tests.test_basic.Remove0Tester) ... ok #687 test_infer_shape (theano.sparse.tests.test_basic.Remove0Tester) ... ok #688 test_remove0 (theano.sparse.tests.test_basic.Remove0Tester) ... ok #689 test_op (theano.sparse.tests.test_basic.RintTester) ... ok #690 test_grad (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #691 test_infer_shape (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #692 test_op (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #693 test_grad (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #694 test_infer_shape (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #695 test_negative_stride (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #696 test_op (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #697 test_op (theano.sparse.tests.test_basic.SgnTester) ... ok #698 test_grad (theano.sparse.tests.test_basic.SinTester) ... ok #699 test_op (theano.sparse.tests.test_basic.SinTester) ... ok #700 test_grad (theano.sparse.tests.test_basic.SinhTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 875.626s OK (SKIP=1) 15% done in 879.135s (failed: 0) #701 test_op (theano.sparse.tests.test_basic.SinhTester) ... ok #702 test_grad (theano.sparse.tests.test_basic.SpSumTester) ... ok #703 test_infer_shape (theano.sparse.tests.test_basic.SpSumTester) ... ok #704 test_op (theano.sparse.tests.test_basic.SpSumTester) ... ok #705 test_add_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #706 test_add_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #707 test_csm (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #708 test_csm_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #709 test_dense_from_sparse (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #710 test_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #711 test_dot_broadcast (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #712 test_getitem_2d (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for GetItem2d yet #713 test_getitem_scalar (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #714 test_mul_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #715 test_mul_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #716 test_neg (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #717 test_remove0 (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #718 test_sparse_from_dense (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #719 test_sparse_from_list (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #720 test_structured_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #721 test_structured_dot_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for the grad of structured_dot #722 test_transpose (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #723 test_grad (theano.sparse.tests.test_basic.SqrTester) ... ok #724 test_op (theano.sparse.tests.test_basic.SqrTester) ... ok #725 test_grad (theano.sparse.tests.test_basic.SqrtTester) ... ok #726 test_op (theano.sparse.tests.test_basic.SqrtTester) ... ok #727 test_grad (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #728 test_infer_shape (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #729 test_op (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #730 test_structured_add_s_v (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok #731 test_structured_add_s_v_grad (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok #732 test_grad (theano.sparse.tests.test_basic.StructuredAddTester) ... ok #733 test_op (theano.sparse.tests.test_basic.StructuredAddTester) ... ok #734 test_grad (theano.sparse.tests.test_basic.StructuredExpTester) ... ok #735 test_op (theano.sparse.tests.test_basic.StructuredExpTester) ... ok #736 test_grad (theano.sparse.tests.test_basic.StructuredLogTester) ... ok #737 test_op (theano.sparse.tests.test_basic.StructuredLogTester) ... ok #738 test_grad (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok #739 test_op (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok #740 test_grad (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok #741 test_op (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok #742 test_grad (theano.sparse.tests.test_basic.StructuredPowTester) ... ok #743 test_op (theano.sparse.tests.test_basic.StructuredPowTester) ... ok #744 test_grad (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok #745 test_op (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok #746 testAddDS (theano.sparse.tests.test_basic.T_AddMul) ... ok #747 testAddSD (theano.sparse.tests.test_basic.T_AddMul) ... ok #748 testAddSS (theano.sparse.tests.test_basic.T_AddMul) ... ok #749 testMulDS (theano.sparse.tests.test_basic.T_AddMul) ... ok #750 testMulSD (theano.sparse.tests.test_basic.T_AddMul) ... ok #751 testMulSS (theano.sparse.tests.test_basic.T_AddMul) ... ok #752 test_dense_from_sparse (theano.sparse.tests.test_basic.T_conversion) ... ok #753 test_format_ndim (theano.sparse.tests.test_basic.T_conversion) ... ok #754 test_todense (theano.sparse.tests.test_basic.T_conversion) ... ok #755 test_transpose_csc (theano.sparse.tests.test_basic.T_transpose) ... ok #756 test_transpose_csr (theano.sparse.tests.test_basic.T_transpose) ... ok #757 test_grad_fail (theano.sparse.tests.test_basic.T_verify_grad_sparse) ... ok #758 test_grad (theano.sparse.tests.test_basic.TanTester) ... ok #759 test_op (theano.sparse.tests.test_basic.TanTester) ... ok #760 test_grad (theano.sparse.tests.test_basic.TanhTester) ... ok #761 test_op (theano.sparse.tests.test_basic.TanhTester) ... ok #762 test_adv_sub1_sparse_grad (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok #763 test_err (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok #764 test_GetItem2D (theano.sparse.tests.test_basic.Test_getitem) ... SKIP: Slicing with step is supported. #765 test_GetItem2Lists (theano.sparse.tests.test_basic.Test_getitem) ... ok #766 test_GetItem2Lists_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok #767 test_GetItemList (theano.sparse.tests.test_basic.Test_getitem) ... ok #768 test_GetItemList_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok #769 test_GetItemScalar (theano.sparse.tests.test_basic.Test_getitem) ... ok #770 test_get_item_2lists_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #771 test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... ok #772 test_grad (theano.sparse.tests.test_basic.TrueDotTester) ... ok #773 test_infer_shape (theano.sparse.tests.test_basic.TrueDotTester) ... ok #774 test_op_sd (theano.sparse.tests.test_basic.TrueDotTester) ... ok #775 test_op_ss (theano.sparse.tests.test_basic.TrueDotTester) ... ok #776 test_op (theano.sparse.tests.test_basic.TruncTester) ... ok #777 test (theano.sparse.tests.test_basic.UsmmTests) ... ok #778 test_infer_shape (theano.sparse.tests.test_basic.UsmmTests) ... ok #779 test_grad (theano.sparse.tests.test_basic.VStackTester) ... ok #780 test_infer_shape (theano.sparse.tests.test_basic.VStackTester) ... ok #781 test_op (theano.sparse.tests.test_basic.VStackTester) ... ok #782 test_ds_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #783 test_ds_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #784 test_equality_case (theano.sparse.tests.test_basic.test_comparison) ... ok #785 test_sd_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #786 test_sd_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #787 test_ss_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:296: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. "using <, >, or !=, instead.", SparseEfficiencyWarning) ok #788 test_ss_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #789 test_csm (theano.sparse.tests.test_basic.test_csm) ... ok #790 test_csm_grad (theano.sparse.tests.test_basic.test_csm) ... ok #791 test_csm_sparser (theano.sparse.tests.test_basic.test_csm) ... ok #792 test_csm_unsorted (theano.sparse.tests.test_basic.test_csm) ... ok #793 test_csm_properties (theano.sparse.tests.test_basic.test_csm_properties) ... ok #794 test_csm_properties_grad (theano.sparse.tests.test_basic.test_csm_properties) ... ok #795 test_get_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #796 test_inplace_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #797 test_return_internal_type (theano.sparse.tests.test_basic.test_shared_options) ... ok #798 test_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #799 test_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok #800 test_shape_i (theano.sparse.tests.test_basic.test_shared_options) ... ok ---------------------------------------------------------------------- Ran 100 tests in 583.241s OK (SKIP=3) 17% done in 586.435s (failed: 0) #801 test_shared_do_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok #802 test_shared_dont_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok #803 test_specify_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok #804 test_specify_shape_inplace (theano.sparse.tests.test_basic.test_shared_options) ... ok #805 test_specify_shape_partial (theano.sparse.tests.test_basic.test_shared_options) ... ok #806 test_values_eq (theano.sparse.tests.test_basic.test_shared_options) ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #807 test_csc_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok #808 test_csr_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok #809 test_dot_sparse_sparse (theano.sparse.tests.test_basic.test_structureddot) ... ok #810 test_opt_unpack (theano.sparse.tests.test_basic.test_structureddot) ... ok #811 test_structureddot_csc_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok #812 test_structureddot_csr_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok #813 test_upcast (theano.sparse.tests.test_basic.test_structureddot) ... ok #814 test (theano.sparse.tests.test_basic.test_zeros_like) ... ok #815 theano.sparse.tests.test_basic.test_shape_i ... ok #816 theano.sparse.tests.test_basic.test_shape ... ok #817 theano.sparse.tests.test_basic.test_may_share_memory ... ok #818 theano.sparse.tests.test_basic.test_sparse_shared_memory ... ok #819 theano.sparse.tests.test_basic.test_size ... /usr/lib/python2.7/dist-packages/scipy/sparse/compressed.py:747: SparseEfficiencyWarning: Changing the sparsity structure of a csc_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #820 theano.sparse.tests.test_basic.test_hstack_vstack ... ok #821 theano.sparse.tests.test_opt.test_local_csm_properties_csm ... ok #822 theano.sparse.tests.test_opt.test_local_csm_grad_c ... SKIP: Opt disabled as it don't support unsorted indices #823 theano.sparse.tests.test_opt.test_local_mul_s_d ... ok #824 theano.sparse.tests.test_opt.test_local_mul_s_v ... ok #825 theano.sparse.tests.test_opt.test_local_structured_add_s_v ... ok #826 theano.sparse.tests.test_opt.test_local_sampling_dot_csr ... ok #827 theano.sparse.tests.test_opt.test_local_dense_from_sparse_sparse_from_dense ... ok #828 theano.sparse.tests.test_opt.test_sd_csc ... ok #829 test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester) ... ok #830 test_op (theano.sparse.tests.test_sp2.BinomialTester) ... ok #831 test_infer_shape (theano.sparse.tests.test_sp2.MultinomialTester) ... ok #832 test_op (theano.sparse.tests.test_sp2.MultinomialTester) ... ok #833 test_infer_shape (theano.sparse.tests.test_sp2.PoissonTester) ... ok #834 test_op (theano.sparse.tests.test_sp2.PoissonTester) ... ok #835 theano.sparse.tests.test_type.test_sparse_type ... ok #836 theano.sparse.tests.test_utils.test_hash_from_sparse ... ok #837 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... /usr/lib/python2.7/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python2.7/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #838 test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... ok #839 test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... ok #840 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok #841 test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok #842 test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok #843 test_interface2d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... ok #844 test_interface3d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... ok #845 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 #846 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 #847 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 #848 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertConvShape) ... ok #849 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #850 test_shape_check_conv2d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #851 test_shape_check_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #852 test_shape_check_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #853 test_shape_check_conv3d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #854 test_shape_check_conv3d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #855 test_shape_check_conv3d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #856 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok #857 test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok #858 test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok #859 test_bilinear_kernel_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #860 test_bilinear_kernel_2D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #861 test_bilinear_upsampling_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #862 test_bilinear_upsampling_reshaping (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #863 test_compare_1D_and_2D_upsampling_values (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #864 Test bilinear upsampling with nonsimilar fractional ... ok #865 test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestCausalConv) ... ok #866 test_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok #867 test_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok #868 test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dTranspose) ... ok #869 test_check_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok #870 test_get_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok #871 test_constant_input (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok #872 test_grad_types (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok #873 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 #874 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 #875 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 #876 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 #877 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 #878 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 #879 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok #880 test_basic_3d (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok #881 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok #882 test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok #883 test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok #884 theano.tensor.nnet.tests.test_abstract_conv.test_constant_shapes ... ok #885 test_dot_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #886 test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #887 test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:71: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:73: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #888 test_sparseblockdot (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #889 test_sparseblockgemv (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #890 test_sparseblockgemvF (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #891 test_sparseblockgemv_grad (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #892 test_sparseblockgemv_grad_1 (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #893 test_sparseblockgemv_grad_shape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #894 test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #895 theano.tensor.nnet.tests.test_bn.test_BNComposite ... ok #896 theano.tensor.nnet.tests.test_bn.test_batch_normalization ... ok #897 theano.tensor.nnet.tests.test_bn.test_bn_feature_maps ... ok #898 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train ... ok #899 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_grad_grad ... ok #900 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_without_running_averages ... ok ---------------------------------------------------------------------- Ran 1154 tests in 4358.279s OK (SKIP=1) 20% done in 4362.058s (failed: 0) #901 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_broadcast ... ok #902 theano.tensor.nnet.tests.test_bn.test_batch_normalization_test ... ok #903 theano.tensor.nnet.tests.test_bn.test_batch_normalization_broadcastable ... ok #904 test_basic (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #905 test_basic1 (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #906 test_full_mode (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #907 test_gcc_crash (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #908 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #909 test_infer_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #910 test_invalid_filter_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #911 test_invalid_input_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #912 test_missing_info (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #913 test_shape_Constant_tensor (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #914 test_subsample (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #915 test_uint_filter_shape_datatype (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #916 test_uint_image_shape_datatype (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #917 test_unroll_batch (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #918 test_unroll_batch_kern (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #919 test_unroll_batch_kern_fail (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #920 test_unroll_kern (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #921 test_unroll_patch_false (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #922 test_unroll_patch_true (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #923 test_unroll_patch_true_fail (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #924 test_unroll_special (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #925 test_wrong_info (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #926 test_wrong_input (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #927 theano.tensor.nnet.tests.test_conv.test_broadcast_grad ... ok #928 theano.tensor.nnet.tests.test_conv3d2d.test_get_diagonal_subtensor_view ... ok #929 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_full ... ok #930 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_half ... ok #931 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_valid ... ok #932 test_fwd (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... ok #933 test_gradinputs (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... ok #934 test_gradweights (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... ok #935 test_fwd (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... ok #936 test_gradinput (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... ok #937 test_gradweight (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... ok #938 test_fwd (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... ok #939 test_gradinput (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... ok #940 test_gradweight (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... ok #941 test_interface (theano.tensor.nnet.tests.test_corr.TestCausalConv) ... ok #942 test_interface (theano.tensor.nnet.tests.test_corr.TestCausalCorr) ... ok #943 test_basic (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #944 test_dtype_upcast (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #945 test_filter_dilation (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #946 test_full_mode (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #947 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #948 test_infer_shape_forward (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #949 test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #950 test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #951 test_invalid_filter_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #952 test_non_contiguous (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #953 test_shape_Constant_tensor (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #954 test_subsample (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #955 test_wrong_input (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #956 test_fwd (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #957 test_gradinputs (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #958 test_gradweights (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #959 test_graph (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #960 test_fwd (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... ok #961 test_gradinput (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... ok #962 test_gradweight (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... ok #963 test_fwd (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... ok #964 test_gradinput (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... ok #965 test_gradweight (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... ok #966 test_fwd (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... /usr/lib/python2.7/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python2.7/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #967 test_gradinputs (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... ok #968 test_gradweights (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... ok #969 test_basic (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #970 test_dtype_upcast (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #971 test_filter_dilation_0 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #972 test_filter_dilation_1 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #973 test_filter_dilation_10 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #974 test_filter_dilation_11 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #975 test_filter_dilation_12 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #976 test_filter_dilation_2 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #977 test_filter_dilation_3 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #978 test_filter_dilation_4 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #979 test_filter_dilation_5 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #980 test_filter_dilation_6 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #981 test_filter_dilation_7 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #982 test_filter_dilation_8 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #983 test_filter_dilation_9 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #984 test_filter_dilation_subsample (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #985 test_full_mode (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #986 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #987 test_infer_shape_forward (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #988 test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #989 test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #990 test_invalid_filter_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #991 test_non_contiguous (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #992 test_shape_Constant_tensor_0_valid (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #993 test_shape_Constant_tensor_1_full (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #994 test_shape_Constant_tensor_2_half (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #995 test_shape_Constant_tensor_3 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #996 test_shape_Constant_tensor_4 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #997 test_shape_Constant_tensor_5 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #998 test_shape_Constant_tensor_6 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #999 test_shape_Constant_tensor_7 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1000 test_shape_Constant_tensor_8 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok ---------------------------------------------------------------------- Ran 100 tests in 1362.636s OK 22% done in 1366.241s (failed: 0) #1001 test_subsample (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1002 test_wrong_input (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1003 test_fwd (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... ok #1004 test_gradinputs (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... ok #1005 test_gradweights (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... ok #1006 test_ctc (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1007 test_torch_case (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1008 test_verify_grad (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1009 test_can_not_infer_nb_dim (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1010 test_grad_full (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1011 test_grad_half (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1012 test_grad_ignore_border (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1013 test_grad_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1014 test_grad_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1015 test_infer_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1016 test_neibs (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1017 test_neibs2images_grad (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1018 test_neibs_bad_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1019 test_neibs_bad_shape_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1020 test_neibs_full_step_by_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1021 test_neibs_full_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1022 test_neibs_half_step_by_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1023 test_neibs_half_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1024 test_neibs_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1025 test_neibs_manual_step (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1026 test_neibs_valid_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1027 test_neibs_wrap_centered_step_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1028 test_bad_build (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1029 test_bad_runtime (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1030 test_good (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1031 test_grad (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1032 test_grad_none (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1033 test_crossentropy_softmax_1hot_with_bias_dxcale_cost (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1034 test_get_rid_of_advanced_indexing_version_of_xent (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1035 test_grad (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1036 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1037 test_optimize_xent_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1008: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1009: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x)[T.arange(y.shape[0]), y]))] ok #1038 test_optimize_xent_vector2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1055: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1056: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1057: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1058: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] ok #1039 test_optimize_xent_vector3 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1116: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1117: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1118: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1119: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] ok #1040 test_optimize_xent_vector4 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1178: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1179: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1180: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1181: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] ok #1041 test_softmax_grad_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #1042 test_softmax_grad_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /usr/lib/python2.7/unittest/case.py:329: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. testMethod() ok #1043 test_softmax_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1044 test_softmax_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1045 test_softmax_optimizations_w_bias (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1046 test_softmax_optimizations_w_bias2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1047 test_softmax_optimizations_w_bias_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1048 test_xent_thing_int32 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1049 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1HotGrad) ... ok #1050 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1051 test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1052 test_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1053 test_vectors (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1054 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1055 test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #1056 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1057 test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1058 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1059 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1060 test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1061 test0 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1062 test1 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1063 test2 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1064 test3 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1065 test_allclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1066 test_isclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1067 test_local_softmax_grad_optimization_and_big_input (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1068 test_local_softmax_optimization (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1069 test_logsoftmax_grad_true_div_elemwise (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1070 test_matrix (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1071 test_vector (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /usr/lib/python2.7/unittest/case.py:329: UserWarning: DEPRECATION: If x is a vector, LogSoftmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. testMethod() ok #1072 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /build/theano-1.0.3+dfsg/theano/gradient.py:1728: UserWarning: DEPRECATION: If x is a vector, LogSoftmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. o_output = fun(*tensor_pt) ok #1073 test0 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1074 test1 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1075 test2 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1076 test3 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1077 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1078 test_vector (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1079 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /build/theano-1.0.3+dfsg/theano/gradient.py:1728: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. o_output = fun(*tensor_pt) ok #1080 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxGrad) ... ok #1081 test0 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1082 test1 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1083 test2 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1084 test3 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1085 test_broadcast (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1086 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1087 test_softmax_with_bias_trace (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:155: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. sm = T.nnet.softmax(a + b) ok #1088 test0 (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok #1089 basic functionality ... ok #1090 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok #1091 test_elemwise (theano.tensor.nnet.tests.test_nnet.T_sigmoid) ... ok #1092 test_grad (theano.tensor.nnet.tests.test_nnet.T_sigmoid_binary_crossentropy) ... ok #1093 test_matches_binary_crossentropy (theano.tensor.nnet.tests.test_nnet.T_sigmoid_binary_crossentropy) ... ok #1094 test_elemwise (theano.tensor.nnet.tests.test_nnet.T_softplus) ... ok #1095 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_1d_basic ... SKIP: Optimization not enabled for the moment #1096 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic ... ok #1097 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic_keepdims ... ok #1098 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_grad ... SKIP: Optimization not enabled for the moment #1099 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_transpose_basic ... SKIP: Optimization not enabled for the moment #1100 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown ... ok ---------------------------------------------------------------------- Ran 100 tests in 371.851s OK (SKIP=6) 24% done in 375.934s (failed: 0) #1101 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown_bias ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #1102 theano.tensor.nnet.tests.test_nnet.test_asymptotic_32 ... ok #1103 theano.tensor.nnet.tests.test_nnet.test_softmax_graph ... ok #1104 theano.tensor.nnet.tests.test_nnet.test_grad_softmax_grad ... ok #1105 theano.tensor.nnet.tests.test_nnet.test_stabilize_log_softmax ... ok #1106 theano.tensor.nnet.tests.test_nnet.test_relu ... ok #1107 theano.tensor.nnet.tests.test_nnet.test_h_softmax ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #1108 theano.tensor.nnet.tests.test_nnet.test_elu ... ok #1109 theano.tensor.nnet.tests.test_nnet.test_selu ... ok #1110 theano.tensor.nnet.tests.test_nnet.test_binary_crossentropy_reshape ... ok #1111 theano.tensor.nnet.tests.test_nnet.test_confusion_matrix ... ok #1112 theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_gemv_opt ... ok #1113 theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_outer_opt ... ok #1114 test_bad_build (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1115 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1116 test_good (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1117 test_grad (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1118 test_grad_none (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1119 test_bad_build (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1120 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1121 test_good (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1122 test_grad (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1123 test_grad_none (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1124 test_bad_build (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1125 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1126 test_good (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1127 test_grad (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1128 test_grad_none (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1129 test_elemwise (theano.tensor.nnet.tests.test_sigm.T_sigmoid) ... ok #1130 test_1msigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1131 test_exp_over_1_plus_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1132 test_grad_log1msigm (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1133 test_local_hard_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1134 test_local_sigm_times_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1135 test_local_ultra_fast_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1136 test_perform_sigm_times_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1137 test_compute_mul (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1138 test_is_1pexp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1139 test_parse_mul_tree (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1140 test_elemwise (theano.tensor.nnet.tests.test_sigm.T_softplus) ... ok #1141 test_log1msigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1142 test_log1pexp_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1143 test_logsigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1144 test_bad_build (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1145 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1146 test_good (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1147 test_grad (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1148 test_grad_none (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1149 test_basic (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1150 test_bug_josh_reported (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1151 test_fail (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1152 test_AveragePoolGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1153 test_AveragePoolGrad_grad_stride__1_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1154 test_AveragePoolGrad_grad_stride__1_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1155 test_AveragePoolGrad_grad_stride__1_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1156 test_AveragePoolGrad_grad_stride__1_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1157 test_AveragePoolGrad_grad_stride__1_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1158 test_AveragePoolGrad_grad_stride__1_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1159 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1160 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1161 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1162 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1163 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1164 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1165 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1166 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1167 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1168 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1169 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1170 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1171 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1172 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1173 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1174 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1175 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1176 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1177 test_AveragePoolGrad_grad_stride__1_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1178 test_AveragePoolGrad_grad_stride__1_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1179 test_AveragePoolGrad_grad_stride__1_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1180 test_AveragePoolGrad_grad_stride__1_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1181 test_AveragePoolGrad_grad_stride__1_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1182 test_AveragePoolGrad_grad_stride__1_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1183 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1184 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1185 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1186 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1187 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1188 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1189 test_AveragePoolGrad_grad_stride__2_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1190 test_AveragePoolGrad_grad_stride__2_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1191 test_AveragePoolGrad_grad_stride__2_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1192 test_AveragePoolGrad_grad_stride__2_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1193 test_AveragePoolGrad_grad_stride__2_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1194 test_AveragePoolGrad_grad_stride__2_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1195 test_AveragePoolGrad_grad_stride__2_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1196 test_AveragePoolGrad_grad_stride__2_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1197 test_AveragePoolGrad_grad_stride__2_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1198 test_AveragePoolGrad_grad_stride__2_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1199 test_AveragePoolGrad_grad_stride__2_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1200 test_AveragePoolGrad_grad_stride__2_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 368.526s OK 26% done in 372.269s (failed: 0) #1201 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1202 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1203 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1204 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1205 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1206 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1207 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1208 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1209 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1210 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1211 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1212 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1213 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1214 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1215 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1216 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1217 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1218 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1219 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1220 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1221 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1222 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1223 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1224 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1225 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1226 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1227 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1228 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1229 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1230 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1231 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1232 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1233 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1234 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1235 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1236 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1237 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1238 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1239 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1240 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1241 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1242 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1243 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1244 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1245 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1246 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1247 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1248 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1249 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1250 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1251 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1252 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1253 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1254 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1255 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1256 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1257 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1258 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1259 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1260 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1261 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1262 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1263 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1264 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1265 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1266 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1267 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1268 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1269 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1270 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1271 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1272 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1273 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1274 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1275 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1276 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1277 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1278 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1279 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1280 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1281 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1282 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1283 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1284 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1285 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1286 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1287 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1288 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1289 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1290 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1291 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1292 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1293 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1294 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1295 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1296 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1297 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1298 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1299 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1300 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 102.400s OK 29% done in 106.271s (failed: 0) #1301 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1302 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1303 test_AveragePoolPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1304 test_DownsampleFactorMax (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1305 test_DownsampleFactorMaxGradGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1306 test_DownsampleFactorMaxGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1307 test_DownsampleFactorMaxGrad_grad_stride__1_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1308 test_DownsampleFactorMaxGrad_grad_stride__1_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1309 test_DownsampleFactorMaxGrad_grad_stride__1_1_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1310 test_DownsampleFactorMaxGrad_grad_stride__1_1_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1311 test_DownsampleFactorMaxGrad_grad_stride__1_1_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1312 test_DownsampleFactorMaxGrad_grad_stride__1_1_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1313 test_DownsampleFactorMaxGrad_grad_stride__1_1_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1314 test_DownsampleFactorMaxGrad_grad_stride__1_1_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1315 test_DownsampleFactorMaxGrad_grad_stride__1_3_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1316 test_DownsampleFactorMaxGrad_grad_stride__1_3_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1317 test_DownsampleFactorMaxGrad_grad_stride__1_5_1_2_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1318 test_DownsampleFactorMaxGrad_grad_stride__1_5_1_2_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1319 test_DownsampleFactorMaxGrad_grad_stride__2_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1320 test_DownsampleFactorMaxGrad_grad_stride__2_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1321 test_DownsampleFactorMaxGrad_grad_stride__2_3_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1322 test_DownsampleFactorMaxGrad_grad_stride__2_3_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1323 test_DownsampleFactorMaxGrad_grad_stride__2_5_1_2_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1324 test_DownsampleFactorMaxGrad_grad_stride__2_5_1_2_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1325 test_DownsampleFactorMaxGrad_grad_stride__3_2_2_3_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1326 test_DownsampleFactorMaxGrad_grad_stride__3_2_2_3_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1327 test_DownsampleFactorMaxGrad_grad_stride__3_3_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1328 test_DownsampleFactorMaxGrad_grad_stride__3_3_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1329 test_DownsampleFactorMaxGrad_grad_stride__3_3_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1330 test_DownsampleFactorMaxGrad_grad_stride__3_3_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1331 test_DownsampleFactorMaxGrad_grad_stride__3_3_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1332 test_DownsampleFactorMaxGrad_grad_stride__3_3_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1333 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_1_1_1_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1334 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_1_1_1_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1335 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1336 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1337 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1338 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1339 test_DownsampleFactorMaxGrad_grad_stride__5_3_10_6_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1340 test_DownsampleFactorMaxGrad_grad_stride__5_3_10_6_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1341 test_DownsampleFactorMaxGrad_grad_stride__5_3_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1342 test_DownsampleFactorMaxGrad_grad_stride__5_3_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1343 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_2_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1344 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_2_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1345 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1346 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1347 test_DownsampleFactorMaxGrad_grad_stride__5_3_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1348 test_DownsampleFactorMaxGrad_grad_stride__5_3_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1349 test_DownsampleFactorMaxGrad_grad_stride__5_3_7_5_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1350 test_DownsampleFactorMaxGrad_grad_stride__5_3_7_5_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1351 test_DownsampleFactorMaxGrad_grad_stride__5_5_1_1_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1352 test_DownsampleFactorMaxGrad_grad_stride__5_5_1_1_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1353 test_DownsampleFactorMaxGrad_grad_stride__7_7_10_10_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1354 test_DownsampleFactorMaxGrad_grad_stride__7_7_10_10_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1355 test_DownsampleFactorMaxGrad_grad_stride__9_9_1_1_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1356 test_DownsampleFactorMaxGrad_grad_stride__9_9_1_1_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1357 test_DownsampleFactorMaxPaddingStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] ok #1358 test_DownsampleFactorMaxPaddingStride_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1359 test_DownsampleFactorMaxPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1360 test_DownsampleFactorMaxStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] ok #1361 test_DownsampleFactorMaxStrideExtra (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1362 test_DownsampleFactorMax_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1363 test_DownsampleFactorMax_grad_stride__1_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1364 test_DownsampleFactorMax_grad_stride__1_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1365 test_DownsampleFactorMax_grad_stride__1_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1366 test_DownsampleFactorMax_grad_stride__1_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1367 test_DownsampleFactorMax_grad_stride__1_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1368 test_DownsampleFactorMax_grad_stride__1_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1369 test_DownsampleFactorMax_grad_stride__1_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1370 test_DownsampleFactorMax_grad_stride__1_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1371 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1372 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1373 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1374 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1375 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1376 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1377 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1378 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1379 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1380 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1381 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1382 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1383 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1384 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1385 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1386 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1387 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1388 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1389 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1390 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1391 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1392 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1393 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1394 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1395 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1396 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1397 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1398 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1399 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1400 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 328.611s OK 31% done in 332.487s (failed: 0) #1401 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1402 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1403 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1404 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1405 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1406 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1407 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1408 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1409 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1410 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1411 test_DownsampleFactorMax_grad_stride__2_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1412 test_DownsampleFactorMax_grad_stride__2_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1413 test_DownsampleFactorMax_grad_stride__2_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1414 test_DownsampleFactorMax_grad_stride__2_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1415 test_DownsampleFactorMax_grad_stride__2_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1416 test_DownsampleFactorMax_grad_stride__2_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1417 test_DownsampleFactorMax_grad_stride__2_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1418 test_DownsampleFactorMax_grad_stride__2_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1419 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1420 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1421 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1422 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1423 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1424 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1425 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1426 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1427 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1428 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1429 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1430 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1431 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1432 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1433 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1434 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1435 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1436 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1437 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1438 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1439 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1440 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1441 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1442 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1443 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1444 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1445 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1446 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1447 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1448 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1449 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1450 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1451 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1452 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1453 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1454 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1455 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1456 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1457 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1458 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1459 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1460 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1461 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1462 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1463 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1464 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1465 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1466 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1467 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1468 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1469 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1470 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1471 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1472 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1473 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1474 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1475 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1476 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1477 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1478 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1479 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1480 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1481 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1482 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1483 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1484 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1485 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1486 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1487 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1488 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1489 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1490 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1491 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1492 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1493 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1494 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1495 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1496 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1497 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1498 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1499 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1500 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 43.275s OK 33% done in 46.891s (failed: 0) #1501 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1502 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1503 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1504 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1505 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1506 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1507 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1508 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1509 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1510 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1511 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1512 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1513 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1514 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1515 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1516 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1517 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1518 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1519 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1520 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1521 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1522 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1523 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1524 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1525 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1526 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1527 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1528 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1529 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1530 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1531 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1532 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1533 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1534 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1535 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1536 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1537 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1538 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1539 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1540 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1541 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1542 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1543 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1544 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1545 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1546 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1547 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1548 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1549 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1550 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1551 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1552 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1553 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1554 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1555 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1556 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1557 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1558 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1559 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1560 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1561 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1562 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1563 test_DownsampleFactorMax_hessian (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1564 test_infer_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1565 test_max_pool_2d_2D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1566 test_max_pool_2d_2D_same_size (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1567 test_max_pool_2d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1568 test_max_pool_2d_6D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1569 test_max_pool_3d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1570 test_max_pool_3d_3D_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:919: 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 #1571 test_old_pool_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... SKIP: Skip old pool interface with python 2.x #1572 test_out_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1573 test_pooling_with_tensor_vars (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1574 test_pooling_with_tensor_vars_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1119: 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 #1575 Demonstrate stochastic gradient descent optimization for a multilayer ... ok #1576 test_bad_build (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1577 test_bad_runtime (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1578 test_good (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1579 test_grad (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1580 test_grad_none (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1581 test_bad_build (theano.tensor.tests.test_basic.AbsTester) ... ok #1582 test_bad_runtime (theano.tensor.tests.test_basic.AbsTester) ... ok #1583 test_good (theano.tensor.tests.test_basic.AbsTester) ... ok #1584 test_grad (theano.tensor.tests.test_basic.AbsTester) ... ok #1585 test_grad_none (theano.tensor.tests.test_basic.AbsTester) ... ok #1586 test_bad_build (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1587 test_bad_runtime (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1588 test_good (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1589 test_grad (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1590 test_grad_none (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1591 test_bad_build (theano.tensor.tests.test_basic.AddTester) ... ok #1592 test_bad_runtime (theano.tensor.tests.test_basic.AddTester) ... ok #1593 test_good (theano.tensor.tests.test_basic.AddTester) ... ok #1594 test_grad (theano.tensor.tests.test_basic.AddTester) ... ok #1595 test_grad_none (theano.tensor.tests.test_basic.AddTester) ... ok #1596 test_bad_build (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1597 test_bad_runtime (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1598 test_good (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1599 test_grad (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1600 test_grad_none (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 352.681s OK (SKIP=1) 35% done in 356.680s (failed: 0) #1601 test_bad_build (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1602 test_bad_runtime (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1603 test_good (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1604 test_grad (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1605 test_grad_none (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1606 test_bad_build (theano.tensor.tests.test_basic.AllocTester) ... ok #1607 test_bad_runtime (theano.tensor.tests.test_basic.AllocTester) ... ok #1608 test_good (theano.tensor.tests.test_basic.AllocTester) ... ok #1609 test_grad (theano.tensor.tests.test_basic.AllocTester) ... ok #1610 test_grad_none (theano.tensor.tests.test_basic.AllocTester) ... ok #1611 test_bad_build (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1612 test_bad_runtime (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1613 test_good (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1614 test_grad (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1615 test_grad_none (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1616 test_bad_build (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1617 test_bad_runtime (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1618 test_good (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1619 test_grad (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1620 test_grad_none (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1621 test_bad_build (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1622 test_bad_runtime (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1623 test_good (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1624 test_grad (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1625 test_grad_none (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1626 test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1627 test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1628 test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1629 test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1630 test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1631 test_bad_build (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1632 test_bad_runtime (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1633 test_good (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1634 test_grad (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1635 test_grad_none (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1636 test_bad_build (theano.tensor.tests.test_basic.ArccosTester) ... ok #1637 test_bad_runtime (theano.tensor.tests.test_basic.ArccosTester) ... ok #1638 test_good (theano.tensor.tests.test_basic.ArccosTester) ... ok #1639 test_grad (theano.tensor.tests.test_basic.ArccosTester) ... ok #1640 test_grad_none (theano.tensor.tests.test_basic.ArccosTester) ... ok #1641 test_bad_build (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1642 test_bad_runtime (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1643 test_good (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1644 test_grad (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1645 test_grad_none (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1646 test_bad_build (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1647 test_bad_runtime (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1648 test_good (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1649 test_grad (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1650 test_grad_none (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1651 test_bad_build (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1652 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1653 test_good (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1654 test_grad (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1655 test_grad_none (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1656 test_bad_build (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1657 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1658 test_good (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1659 test_grad (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1660 test_grad_none (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1661 test_bad_build (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1662 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1663 test_good (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1664 test_grad (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1665 test_grad_none (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1666 test_bad_build (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1667 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1668 test_good (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1669 test_grad (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1670 test_grad_none (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1671 test_bad_build (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1672 test_bad_runtime (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1673 test_good (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1674 test_grad (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1675 test_grad_none (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1676 test_bad_build (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1677 test_bad_runtime (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1678 test_good (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1679 test_grad (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1680 test_grad_none (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1681 test_bad_build (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1682 test_bad_runtime (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1683 test_good (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1684 test_grad (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1685 test_grad_none (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1686 test_bad_build (theano.tensor.tests.test_basic.ArctanTester) ... ok #1687 test_bad_runtime (theano.tensor.tests.test_basic.ArctanTester) ... ok #1688 test_good (theano.tensor.tests.test_basic.ArctanTester) ... ok #1689 test_grad (theano.tensor.tests.test_basic.ArctanTester) ... ok #1690 test_grad_none (theano.tensor.tests.test_basic.ArctanTester) ... ok #1691 test_bad_build (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1692 test_bad_runtime (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1693 test_good (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1694 test_grad (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1695 test_grad_none (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1696 test_bad_build (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1697 test_bad_runtime (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1698 test_good (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1699 test_grad (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1700 test_grad_none (theano.tensor.tests.test_basic.ArctanhTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 365.891s OK 37% done in 370.337s (failed: 0) #1701 test_bad_build (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1702 test_bad_runtime (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1703 test_good (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1704 test_grad (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1705 test_grad_none (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1706 test_cast_from_complex_to_real_raises_error (theano.tensor.tests.test_basic.CastTester) ... ok #1707 test_cast_from_real_to_complex (theano.tensor.tests.test_basic.CastTester) ... ok #1708 test_good_between_real_types (theano.tensor.tests.test_basic.CastTester) ... ok #1709 test_bad_build (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1710 test_bad_runtime (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1711 test_good (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1712 test_grad (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1713 test_grad_none (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1714 test_bad_build (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1715 test_bad_runtime (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1716 test_good (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1717 test_grad (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1718 test_grad_none (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1719 test_bad_build (theano.tensor.tests.test_basic.CeilTester) ... ok #1720 test_bad_runtime (theano.tensor.tests.test_basic.CeilTester) ... ok #1721 test_good (theano.tensor.tests.test_basic.CeilTester) ... ok #1722 test_grad (theano.tensor.tests.test_basic.CeilTester) ... ok #1723 test_grad_none (theano.tensor.tests.test_basic.CeilTester) ... ok #1724 test_bad_build (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1725 test_bad_runtime (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1726 test_good (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1727 test_grad (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1728 test_grad_none (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1729 test_bad_build (theano.tensor.tests.test_basic.ClipTester) ... ok #1730 test_bad_runtime (theano.tensor.tests.test_basic.ClipTester) ... ok #1731 test_good (theano.tensor.tests.test_basic.ClipTester) ... ok #1732 test_grad (theano.tensor.tests.test_basic.ClipTester) ... ok #1733 test_grad_none (theano.tensor.tests.test_basic.ClipTester) ... ok #1734 test_bad_build (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1735 test_bad_runtime (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1736 test_good (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1737 test_grad (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1738 test_grad_none (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1739 test_bad_build (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1740 test_bad_runtime (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1741 test_good (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1742 test_grad (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1743 test_grad_none (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1744 test_bad_build (theano.tensor.tests.test_basic.ConjTester) ... ok #1745 test_bad_runtime (theano.tensor.tests.test_basic.ConjTester) ... ok #1746 test_good (theano.tensor.tests.test_basic.ConjTester) ... ok #1747 test_grad (theano.tensor.tests.test_basic.ConjTester) ... ok #1748 test_grad_none (theano.tensor.tests.test_basic.ConjTester) ... ok #1749 test_bad_build (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1750 test_bad_runtime (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1751 test_good (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1752 test_grad (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1753 test_grad_none (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1754 test_bad_build (theano.tensor.tests.test_basic.CosTester) ... ok #1755 test_bad_runtime (theano.tensor.tests.test_basic.CosTester) ... ok #1756 test_good (theano.tensor.tests.test_basic.CosTester) ... ok #1757 test_grad (theano.tensor.tests.test_basic.CosTester) ... ok #1758 test_grad_none (theano.tensor.tests.test_basic.CosTester) ... ok #1759 test_bad_build (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1760 test_bad_runtime (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1761 test_good (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1762 test_grad (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1763 test_grad_none (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1764 test_bad_build (theano.tensor.tests.test_basic.CoshTester) ... ok #1765 test_bad_runtime (theano.tensor.tests.test_basic.CoshTester) ... ok #1766 test_good (theano.tensor.tests.test_basic.CoshTester) ... ok #1767 test_grad (theano.tensor.tests.test_basic.CoshTester) ... ok #1768 test_grad_none (theano.tensor.tests.test_basic.CoshTester) ... ok #1769 test_bad_build (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1770 test_bad_runtime (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1771 test_good (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1772 test_grad (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1773 test_grad_none (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1774 test_bad_build (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1775 test_bad_runtime (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1776 test_good (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1777 test_grad (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1778 test_grad_none (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1779 test_bad_build (theano.tensor.tests.test_basic.DotTester) ... ok #1780 test_bad_runtime (theano.tensor.tests.test_basic.DotTester) ... ok #1781 test_good (theano.tensor.tests.test_basic.DotTester) ... ok #1782 test_grad (theano.tensor.tests.test_basic.DotTester) ... ok #1783 test_grad_none (theano.tensor.tests.test_basic.DotTester) ... ok #1784 test_bad_build (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1785 test_bad_runtime (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1786 test_good (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1787 test_grad (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1788 test_grad_none (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1789 test_bad_build (theano.tensor.tests.test_basic.ErfTester) ... ok #1790 test_bad_runtime (theano.tensor.tests.test_basic.ErfTester) ... ok #1791 test_good (theano.tensor.tests.test_basic.ErfTester) ... ok #1792 test_grad (theano.tensor.tests.test_basic.ErfTester) ... ok #1793 test_grad_none (theano.tensor.tests.test_basic.ErfTester) ... ok #1794 test_bad_build (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1795 test_bad_runtime (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1796 test_good (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1797 test_grad (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1798 test_grad_none (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1799 test_bad_build (theano.tensor.tests.test_basic.ErfcTester) ... ok #1800 test_bad_runtime (theano.tensor.tests.test_basic.ErfcTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 418.766s OK 40% done in 422.352s (failed: 0) #1801 test_good (theano.tensor.tests.test_basic.ErfcTester) ... ok #1802 test_grad (theano.tensor.tests.test_basic.ErfcTester) ... ok #1803 test_grad_none (theano.tensor.tests.test_basic.ErfcTester) ... ok #1804 test_bad_build (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1805 test_bad_runtime (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1806 test_good (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1807 test_grad (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1808 test_grad_none (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1809 test_bad_build (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1810 test_bad_runtime (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1811 test_good (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1812 test_grad (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1813 test_grad_none (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1814 test_bad_build (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1815 test_bad_runtime (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1816 test_good (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1817 test_grad (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1818 test_grad_none (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1819 test_bad_build (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1820 test_bad_runtime (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1821 test_good (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1822 test_grad (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1823 test_grad_none (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1824 test_bad_build (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1825 test_bad_runtime (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1826 test_good (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1827 test_grad (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1828 test_grad_none (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1829 test_bad_build (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1830 test_bad_runtime (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1831 test_good (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1832 test_grad (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1833 test_grad_none (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1834 test_bad_build (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1835 test_bad_runtime (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1836 test_good (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1837 test_grad (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1838 test_grad_none (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1839 test_bad_build (theano.tensor.tests.test_basic.ExpTester) ... ok #1840 test_bad_runtime (theano.tensor.tests.test_basic.ExpTester) ... ok #1841 test_good (theano.tensor.tests.test_basic.ExpTester) ... ok #1842 test_grad (theano.tensor.tests.test_basic.ExpTester) ... ok #1843 test_grad_none (theano.tensor.tests.test_basic.ExpTester) ... ok #1844 test_bad_build (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1845 test_bad_runtime (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1846 test_good (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1847 test_grad (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1848 test_grad_none (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1849 test_bad_build (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1850 test_bad_runtime (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1851 test_good (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1852 test_grad (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1853 test_grad_none (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1854 test_bad_build (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1855 test_bad_runtime (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1856 test_good (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1857 test_grad (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1858 test_grad_none (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1859 test_bad_build (theano.tensor.tests.test_basic.FloorTester) ... ok #1860 test_bad_runtime (theano.tensor.tests.test_basic.FloorTester) ... ok #1861 test_good (theano.tensor.tests.test_basic.FloorTester) ... ok #1862 test_grad (theano.tensor.tests.test_basic.FloorTester) ... ok #1863 test_grad_none (theano.tensor.tests.test_basic.FloorTester) ... ok #1864 test_bad_build (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1865 test_bad_runtime (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1866 test_good (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1867 test_grad (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1868 test_grad_none (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1869 test_bad_build (theano.tensor.tests.test_basic.GammaTester) ... ok #1870 test_bad_runtime (theano.tensor.tests.test_basic.GammaTester) ... ok #1871 test_good (theano.tensor.tests.test_basic.GammaTester) ... ok #1872 test_grad (theano.tensor.tests.test_basic.GammaTester) ... ok #1873 test_grad_none (theano.tensor.tests.test_basic.GammaTester) ... ok #1874 test_bad_build (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1875 test_bad_runtime (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1876 test_good (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1877 test_grad (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1878 test_grad_none (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1879 test_bad_build (theano.tensor.tests.test_basic.GammalnTester) ... ok #1880 test_bad_runtime (theano.tensor.tests.test_basic.GammalnTester) ... ok #1881 test_good (theano.tensor.tests.test_basic.GammalnTester) ... ok #1882 test_grad (theano.tensor.tests.test_basic.GammalnTester) ... ok #1883 test_grad_none (theano.tensor.tests.test_basic.GammalnTester) ... ok #1884 test_bad_build (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1885 test_bad_runtime (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1886 test_good (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1887 test_grad (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1888 test_grad_none (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1889 test_bad_build (theano.tensor.tests.test_basic.I0Tester) ... ok #1890 test_bad_runtime (theano.tensor.tests.test_basic.I0Tester) ... ok #1891 test_good (theano.tensor.tests.test_basic.I0Tester) ... ok #1892 test_grad (theano.tensor.tests.test_basic.I0Tester) ... ok #1893 test_grad_none (theano.tensor.tests.test_basic.I0Tester) ... ok #1894 test_bad_build (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1895 test_bad_runtime (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1896 test_good (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1897 test_grad (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1898 test_grad_none (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1899 test_bad_build (theano.tensor.tests.test_basic.I1Tester) ... ok #1900 test_bad_runtime (theano.tensor.tests.test_basic.I1Tester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 244.248s OK 42% done in 247.617s (failed: 0) #1901 test_good (theano.tensor.tests.test_basic.I1Tester) ... ok #1902 test_grad (theano.tensor.tests.test_basic.I1Tester) ... ok #1903 test_grad_none (theano.tensor.tests.test_basic.I1Tester) ... ok #1904 test_bad_build (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1905 test_bad_runtime (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1906 test_good (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1907 test_grad (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1908 test_grad_none (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1909 test_bad_build (theano.tensor.tests.test_basic.IntDivTester) ... ok #1910 test_bad_runtime (theano.tensor.tests.test_basic.IntDivTester) ... ok #1911 test_good (theano.tensor.tests.test_basic.IntDivTester) ... ok #1912 test_grad (theano.tensor.tests.test_basic.IntDivTester) ... ok #1913 test_grad_none (theano.tensor.tests.test_basic.IntDivTester) ... ok #1914 test_bad_build (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1915 test_bad_runtime (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1916 test_good (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1917 test_grad (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1918 test_grad_none (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1919 test_bad_build (theano.tensor.tests.test_basic.InvTester) ... ok #1920 test_bad_runtime (theano.tensor.tests.test_basic.InvTester) ... ok #1921 test_good (theano.tensor.tests.test_basic.InvTester) ... ok #1922 test_grad (theano.tensor.tests.test_basic.InvTester) ... ok #1923 test_grad_none (theano.tensor.tests.test_basic.InvTester) ... ok #1924 test_bad_build (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1925 test_bad_runtime (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1926 test_good (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1927 test_grad (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1928 test_grad_none (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1929 test_bad_build (theano.tensor.tests.test_basic.IvTester) ... ok #1930 test_bad_runtime (theano.tensor.tests.test_basic.IvTester) ... ok #1931 test_good (theano.tensor.tests.test_basic.IvTester) ... ok #1932 test_grad (theano.tensor.tests.test_basic.IvTester) ... ok #1933 test_grad_none (theano.tensor.tests.test_basic.IvTester) ... ok #1934 test_bad_build (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1935 test_bad_runtime (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1936 test_good (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1937 test_grad (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1938 test_grad_none (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1939 test_bad_build (theano.tensor.tests.test_basic.J0Tester) ... ok #1940 test_bad_runtime (theano.tensor.tests.test_basic.J0Tester) ... ok #1941 test_good (theano.tensor.tests.test_basic.J0Tester) ... ok #1942 test_grad (theano.tensor.tests.test_basic.J0Tester) ... ok #1943 test_grad_none (theano.tensor.tests.test_basic.J0Tester) ... ok #1944 test_bad_build (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1945 test_bad_runtime (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1946 test_good (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1947 test_grad (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1948 test_grad_none (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1949 test_bad_build (theano.tensor.tests.test_basic.J1Tester) ... ok #1950 test_bad_runtime (theano.tensor.tests.test_basic.J1Tester) ... ok #1951 test_good (theano.tensor.tests.test_basic.J1Tester) ... ok #1952 test_grad (theano.tensor.tests.test_basic.J1Tester) ... ok #1953 test_grad_none (theano.tensor.tests.test_basic.J1Tester) ... ok #1954 test_bad_build (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1955 test_bad_runtime (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1956 test_good (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1957 test_grad (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1958 test_grad_none (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1959 test_bad_build (theano.tensor.tests.test_basic.JvTester) ... ok #1960 test_bad_runtime (theano.tensor.tests.test_basic.JvTester) ... ok #1961 test_good (theano.tensor.tests.test_basic.JvTester) ... ok #1962 test_grad (theano.tensor.tests.test_basic.JvTester) ... ok #1963 test_grad_none (theano.tensor.tests.test_basic.JvTester) ... ok #1964 test_bad_build (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1965 test_bad_runtime (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1966 test_good (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1967 test_grad (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1968 test_grad_none (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1969 test_bad_build (theano.tensor.tests.test_basic.Log10Tester) ... ok #1970 test_bad_runtime (theano.tensor.tests.test_basic.Log10Tester) ... ok #1971 test_good (theano.tensor.tests.test_basic.Log10Tester) ... ok #1972 test_grad (theano.tensor.tests.test_basic.Log10Tester) ... ok #1973 test_grad_none (theano.tensor.tests.test_basic.Log10Tester) ... ok #1974 test_bad_build (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1975 test_bad_runtime (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1976 test_good (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1977 test_grad (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1978 test_grad_none (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1979 test_bad_build (theano.tensor.tests.test_basic.Log1pTester) ... ok #1980 test_bad_runtime (theano.tensor.tests.test_basic.Log1pTester) ... ok #1981 test_good (theano.tensor.tests.test_basic.Log1pTester) ... ok #1982 test_grad (theano.tensor.tests.test_basic.Log1pTester) ... ok #1983 test_grad_none (theano.tensor.tests.test_basic.Log1pTester) ... ok #1984 test_bad_build (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1985 test_bad_runtime (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1986 test_good (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1987 test_grad (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1988 test_grad_none (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1989 test_bad_build (theano.tensor.tests.test_basic.Log2Tester) ... ok #1990 test_bad_runtime (theano.tensor.tests.test_basic.Log2Tester) ... ok #1991 test_good (theano.tensor.tests.test_basic.Log2Tester) ... ok #1992 test_grad (theano.tensor.tests.test_basic.Log2Tester) ... ok #1993 test_grad_none (theano.tensor.tests.test_basic.Log2Tester) ... ok #1994 test_bad_build (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1995 test_bad_runtime (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1996 test_good (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1997 test_grad (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1998 test_grad_none (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1999 test_bad_build (theano.tensor.tests.test_basic.LogTester) ... ok #2000 test_bad_runtime (theano.tensor.tests.test_basic.LogTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 285.916s OK 44% done in 289.322s (failed: 0) #2001 test_good (theano.tensor.tests.test_basic.LogTester) ... ok #2002 test_grad (theano.tensor.tests.test_basic.LogTester) ... ok #2003 test_grad_none (theano.tensor.tests.test_basic.LogTester) ... ok #2004 test_bad_build (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2005 test_bad_runtime (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2006 test_good (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2007 test_grad (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2008 test_grad_none (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2009 test_bad_build (theano.tensor.tests.test_basic.MaximumTester) ... ok #2010 test_bad_runtime (theano.tensor.tests.test_basic.MaximumTester) ... ok #2011 test_good (theano.tensor.tests.test_basic.MaximumTester) ... ok #2012 test_grad (theano.tensor.tests.test_basic.MaximumTester) ... ok #2013 test_grad_none (theano.tensor.tests.test_basic.MaximumTester) ... ok #2014 test_bad_build (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2015 test_bad_runtime (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2016 test_good (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2017 test_grad (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2018 test_grad_none (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2019 test_bad_build (theano.tensor.tests.test_basic.MinimumTester) ... ok #2020 test_bad_runtime (theano.tensor.tests.test_basic.MinimumTester) ... ok #2021 test_good (theano.tensor.tests.test_basic.MinimumTester) ... ok #2022 test_grad (theano.tensor.tests.test_basic.MinimumTester) ... ok #2023 test_grad_none (theano.tensor.tests.test_basic.MinimumTester) ... ok #2024 test_bad_build (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2025 test_bad_runtime (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2026 test_good (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2027 test_grad (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2028 test_grad_none (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2029 test_bad_build (theano.tensor.tests.test_basic.ModTester) ... ok #2030 test_bad_runtime (theano.tensor.tests.test_basic.ModTester) ... ok #2031 test_good (theano.tensor.tests.test_basic.ModTester) ... ok #2032 test_grad (theano.tensor.tests.test_basic.ModTester) ... ok #2033 test_grad_none (theano.tensor.tests.test_basic.ModTester) ... ok #2034 test_bad_build (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2035 test_bad_runtime (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2036 test_good (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2037 test_grad (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2038 test_grad_none (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2039 test_bad_build (theano.tensor.tests.test_basic.MulTester) ... ok #2040 test_bad_runtime (theano.tensor.tests.test_basic.MulTester) ... ok #2041 test_good (theano.tensor.tests.test_basic.MulTester) ... ok #2042 test_grad (theano.tensor.tests.test_basic.MulTester) ... ok #2043 test_grad_none (theano.tensor.tests.test_basic.MulTester) ... ok #2044 test_bad_build (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2045 test_bad_runtime (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2046 test_good (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2047 test_grad (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2048 test_grad_none (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2049 test_bad_build (theano.tensor.tests.test_basic.NegTester) ... ok #2050 test_bad_runtime (theano.tensor.tests.test_basic.NegTester) ... ok #2051 test_good (theano.tensor.tests.test_basic.NegTester) ... ok #2052 test_grad (theano.tensor.tests.test_basic.NegTester) ... ok #2053 test_grad_none (theano.tensor.tests.test_basic.NegTester) ... ok #2054 test_bad_build (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2055 test_bad_runtime (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2056 test_good (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2057 test_grad (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2058 test_grad_none (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2059 test_bad_build (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2060 test_bad_runtime (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2061 test_good (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2062 test_grad (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2063 test_grad_none (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2064 test_bad_build (theano.tensor.tests.test_basic.PowTester) ... ok #2065 test_bad_runtime (theano.tensor.tests.test_basic.PowTester) ... ok #2066 test_good (theano.tensor.tests.test_basic.PowTester) ... ok #2067 test_grad (theano.tensor.tests.test_basic.PowTester) ... ok #2068 test_grad_none (theano.tensor.tests.test_basic.PowTester) ... ok #2069 test_bad_build (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2070 test_bad_runtime (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2071 test_good (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2072 test_grad (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2073 test_grad_none (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2074 test_bad_build (theano.tensor.tests.test_basic.PsiTester) ... ok #2075 test_bad_runtime (theano.tensor.tests.test_basic.PsiTester) ... ok #2076 test_good (theano.tensor.tests.test_basic.PsiTester) ... ok #2077 test_grad (theano.tensor.tests.test_basic.PsiTester) ... ok #2078 test_grad_none (theano.tensor.tests.test_basic.PsiTester) ... ok #2079 test_bad_build (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2080 test_bad_runtime (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2081 test_good (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2082 test_grad (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2083 test_grad_none (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2084 test_bad_build (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2085 test_bad_runtime (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2086 test_good (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2087 test_grad (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2088 test_grad_none (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2089 test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2090 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2091 test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2092 test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2093 test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2094 test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2095 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2096 test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2097 test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2098 test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2099 test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2100 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 596.593s OK 46% done in 600.124s (failed: 0) #2101 test_good (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2102 test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2103 test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2104 test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2105 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2106 test_good (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2107 test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2108 test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2109 test_bad_build (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2110 test_bad_runtime (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2111 test_good (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2112 test_grad (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2113 test_grad_none (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2114 test_bad_build (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2115 test_bad_runtime (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2116 test_good (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2117 test_grad (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2118 test_grad_none (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2119 test_bad_build (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2120 test_bad_runtime (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2121 test_good (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2122 test_grad (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2123 test_grad_none (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2124 test_bad_build (theano.tensor.tests.test_basic.SgnTester) ... ok #2125 test_bad_runtime (theano.tensor.tests.test_basic.SgnTester) ... ok #2126 test_good (theano.tensor.tests.test_basic.SgnTester) ... ok #2127 test_grad (theano.tensor.tests.test_basic.SgnTester) ... ok #2128 test_grad_none (theano.tensor.tests.test_basic.SgnTester) ... ok #2129 test_bad_build (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2130 test_bad_runtime (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2131 test_good (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2132 test_grad (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2133 test_grad_none (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2134 test_bad_build (theano.tensor.tests.test_basic.SinTester) ... ok #2135 test_bad_runtime (theano.tensor.tests.test_basic.SinTester) ... ok #2136 test_good (theano.tensor.tests.test_basic.SinTester) ... ok #2137 test_grad (theano.tensor.tests.test_basic.SinTester) ... ok #2138 test_grad_none (theano.tensor.tests.test_basic.SinTester) ... ok #2139 test_bad_build (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2140 test_bad_runtime (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2141 test_good (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2142 test_grad (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2143 test_grad_none (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2144 test_bad_build (theano.tensor.tests.test_basic.SinhTester) ... ok #2145 test_bad_runtime (theano.tensor.tests.test_basic.SinhTester) ... ok #2146 test_good (theano.tensor.tests.test_basic.SinhTester) ... ok #2147 test_grad (theano.tensor.tests.test_basic.SinhTester) ... ok #2148 test_grad_none (theano.tensor.tests.test_basic.SinhTester) ... ok #2149 test_bad_build (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2150 test_bad_runtime (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2151 test_good (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2152 test_grad (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2153 test_grad_none (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2154 test_bad_build (theano.tensor.tests.test_basic.SqrTester) ... ok #2155 test_bad_runtime (theano.tensor.tests.test_basic.SqrTester) ... ok #2156 test_good (theano.tensor.tests.test_basic.SqrTester) ... ok #2157 test_grad (theano.tensor.tests.test_basic.SqrTester) ... ok #2158 test_grad_none (theano.tensor.tests.test_basic.SqrTester) ... ok #2159 test_bad_build (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2160 test_bad_runtime (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2161 test_good (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2162 test_grad (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2163 test_grad_none (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2164 test_bad_build (theano.tensor.tests.test_basic.SqrtTester) ... ok #2165 test_bad_runtime (theano.tensor.tests.test_basic.SqrtTester) ... ok #2166 test_good (theano.tensor.tests.test_basic.SqrtTester) ... ok #2167 test_grad (theano.tensor.tests.test_basic.SqrtTester) ... ok #2168 test_grad_none (theano.tensor.tests.test_basic.SqrtTester) ... ok #2169 test_bad_build (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2170 test_bad_runtime (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2171 test_good (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2172 test_grad (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2173 test_grad_none (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2174 test_bad_build (theano.tensor.tests.test_basic.SubTester) ... ok #2175 test_bad_runtime (theano.tensor.tests.test_basic.SubTester) ... ok #2176 test_good (theano.tensor.tests.test_basic.SubTester) ... ok #2177 test_grad (theano.tensor.tests.test_basic.SubTester) ... ok #2178 test_grad_none (theano.tensor.tests.test_basic.SubTester) ... ok #2179 test_bad_build (theano.tensor.tests.test_basic.SwitchTester) ... ok #2180 test_bad_runtime (theano.tensor.tests.test_basic.SwitchTester) ... ok #2181 test_good (theano.tensor.tests.test_basic.SwitchTester) ... ok #2182 test_grad (theano.tensor.tests.test_basic.SwitchTester) ... ok #2183 test_grad_none (theano.tensor.tests.test_basic.SwitchTester) ... ok #2184 test_broadcasted (theano.tensor.tests.test_basic.T_Choose) ... ok #2185 test_dtype_error (theano.tensor.tests.test_basic.T_Choose) ... ok #2186 test_infer_shape (theano.tensor.tests.test_basic.T_Choose) ... ok #2187 test_method (theano.tensor.tests.test_basic.T_Choose) ... ok #2188 test_numpy_compare (theano.tensor.tests.test_basic.T_Choose) ... ok #2189 test_numpy_compare_tuple (theano.tensor.tests.test_basic.T_Choose) ... ok #2190 test_clip_repeat_grad (theano.tensor.tests.test_basic.T_Clip) ... ok #2191 test_clip_repeat_verify_grad (theano.tensor.tests.test_basic.T_Clip) ... ok #2192 test_complex_value (theano.tensor.tests.test_basic.T_Clip) ... ok #2193 test_get_vector_length (theano.tensor.tests.test_basic.T_GetVectorLength) ... ok #2194 test_broadcastable_flag_assignment_mixed_otheraxes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2195 test_broadcastable_flag_assignment_mixed_thisaxes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2196 test_broadcastable_flags_all_broadcastable_on_joinaxis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2197 test_broadcastable_flags_many_dims_and_inputs (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2198 test_broadcastable_single_input_broadcastable_dimension (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2199 test_concatenate_same (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2200 test_infer_shape_join (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok ---------------------------------------------------------------------- Ran 100 tests in 885.376s OK 49% done in 889.209s (failed: 0) #2201 test_join_concatenate_one_element (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2202 test_join_matrix0 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2203 test_join_matrix1 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2204 test_join_matrix1_using_horizontal_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2205 test_join_matrix1_using_vertical_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2206 test_join_matrixC_negative_axis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2207 test_join_matrixV (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2208 test_join_matrixV_negative_axis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2209 test_join_matrix_dtypes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2210 test_join_matrix_ints (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2211 test_join_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2212 test_join_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2213 test_mixed_ndim_error (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2214 test_rebroadcast (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2215 test_roll (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2216 test_split_0elem (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2217 test_split_neg (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2218 test_stack_hessian (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2219 test_stack_hessian2 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2220 test_stack_mixed_type_constants (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2221 test_stack_new_interface (theano.tensor.tests.test_basic.T_Join_and_Split) ... /usr/lib/python2.7/unittest/case.py:329: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead. testMethod() ok #2222 test_stack_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2223 test_stack_scalar_make_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2224 test_stack_scalar_make_vector_constant (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2225 test_stack_scalar_make_vector_dtype (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2226 test_stack_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2227 test_vector_len (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2228 test_multiple_power (theano.tensor.tests.test_basic.T_Power) ... ok #2229 test_numpy_compare (theano.tensor.tests.test_basic.T_Power) ... ok #2230 test_wrong_shape (theano.tensor.tests.test_basic.T_Power) ... ok #2231 test_basic0 (theano.tensor.tests.test_basic.T_Shape) ... ok #2232 test_basic1 (theano.tensor.tests.test_basic.T_Shape) ... ok #2233 test_basic2 (theano.tensor.tests.test_basic.T_Shape) ... ok #2234 test_complex_all_ops (theano.tensor.tests.test_basic.T_add) ... ok #2235 test_grad_col (theano.tensor.tests.test_basic.T_add) ... ok #2236 test_grad_row (theano.tensor.tests.test_basic.T_add) ... ok #2237 test_grad_scalar_l (theano.tensor.tests.test_basic.T_add) ... ok #2238 test_grad_scalar_r (theano.tensor.tests.test_basic.T_add) ... ok #2239 test2 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2240 test2_float16 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2241 test2_invalid (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2242 test2_invalid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2243 test2_valid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2244 test3 (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2245 test_bool (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2246 test_grad_argmax (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2247 test_grad_argmin (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2248 test_list (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2249 test_scalar (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2250 test_uint (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2251 test_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2252 test_empty_dtype (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2253 test_memmap (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2254 test_ndarray_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2255 test_complex (theano.tensor.tests.test_basic.T_ceil) ... ok #2256 test_impls (theano.tensor.tests.test_basic.T_divimpl) ... ok #2257 test_complex (theano.tensor.tests.test_basic.T_exp) ... ok #2258 test_grad_0 (theano.tensor.tests.test_basic.T_exp) ... ok #2259 test_grad_1 (theano.tensor.tests.test_basic.T_exp) ... ok #2260 test_int (theano.tensor.tests.test_basic.T_exp) ... ok #2261 test_assert (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2262 test_copy (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2263 test_elemwise (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2264 test_get_scalar_constant_value (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2265 test_make_vector (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2266 test_numpy_array (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2267 test_second (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2268 test_shape_i (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2269 test_subtensor_of_constant (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2270 test_fit_int64 (theano.tensor.tests.test_basic.T_long_tensor) ... ok #2271 test_too_big (theano.tensor.tests.test_basic.T_long_tensor) ... ok #2272 test0 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2273 test1 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2274 test2 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2275 test2_float16 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2276 test2_invalid (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2277 test2_invalid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2278 test2_valid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2279 test3 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2280 test_arg_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2281 test_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2282 test_multiple_axes (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2283 test_numpy_input (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2284 test_preserve_broadcastable (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2285 test_zero_shape (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2286 test0 (theano.tensor.tests.test_basic.T_mean) ... ok #2287 test_list (theano.tensor.tests.test_basic.T_mean) ... ok #2288 test_mean_f16 (theano.tensor.tests.test_basic.T_mean) ... ok #2289 test_regression_mean_of_ndarray_failure (theano.tensor.tests.test_basic.T_mean) ... ok #2290 test2 (theano.tensor.tests.test_basic.T_min_max) ... ok #2291 test2_invalid (theano.tensor.tests.test_basic.T_min_max) ... ok #2292 test2_invalid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok #2293 test2_valid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok #2294 test3 (theano.tensor.tests.test_basic.T_min_max) ... ok #2295 test3b (theano.tensor.tests.test_basic.T_min_max) ... ok #2296 test_bool (theano.tensor.tests.test_basic.T_min_max) ... ok #2297 test_grad_max (theano.tensor.tests.test_basic.T_min_max) ... ok #2298 test_grad_min (theano.tensor.tests.test_basic.T_min_max) ... ok #2299 test_list (theano.tensor.tests.test_basic.T_min_max) ... ok #2300 test_scalar (theano.tensor.tests.test_basic.T_min_max) ... ok ---------------------------------------------------------------------- Ran 100 tests in 257.475s OK 51% done in 260.942s (failed: 0) #2301 test_uint (theano.tensor.tests.test_basic.T_min_max) ... ok #2302 test0 (theano.tensor.tests.test_basic.T_op_cache) ... ok #2303 test_grad (theano.tensor.tests.test_basic.T_outer) ... ok #2304 test_outer (theano.tensor.tests.test_basic.T_outer) ... ok #2305 test_0 (theano.tensor.tests.test_basic.T_reshape) ... ok #2306 test_bad_shape (theano.tensor.tests.test_basic.T_reshape) ... ok #2307 test_empty_shp (theano.tensor.tests.test_basic.T_reshape) ... ok #2308 test_m1 (theano.tensor.tests.test_basic.T_reshape) ... ok #2309 test_reshape (theano.tensor.tests.test_basic.T_reshape) ... ok #2310 test_reshape_long_in_shape (theano.tensor.tests.test_basic.T_reshape) ... ok #2311 test0 (theano.tensor.tests.test_basic.T_scalarfromtensor) ... ok #2312 test_list (theano.tensor.tests.test_basic.T_sum) ... ok #2313 test_sum_overflow (theano.tensor.tests.test_basic.T_sum) ... ok #2314 test_doubleswap (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2315 test_interface (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2316 test_no_dimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2317 test_not_enough_dimension (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2318 test_numpy_compare (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2319 test_unidimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2320 test0 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2321 test1 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2322 test2 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2323 test_bad_build (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2324 test_bad_runtime (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2325 test_good (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2326 test_grad (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2327 test_grad_none (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2328 test_bad_build (theano.tensor.tests.test_basic.TanTester) ... ok #2329 test_bad_runtime (theano.tensor.tests.test_basic.TanTester) ... ok #2330 test_good (theano.tensor.tests.test_basic.TanTester) ... ok #2331 test_grad (theano.tensor.tests.test_basic.TanTester) ... ok #2332 test_grad_none (theano.tensor.tests.test_basic.TanTester) ... ok #2333 test_bad_build (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2334 test_bad_runtime (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2335 test_good (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2336 test_grad (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2337 test_grad_none (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2338 test_bad_build (theano.tensor.tests.test_basic.TanhTester) ... ok #2339 test_bad_runtime (theano.tensor.tests.test_basic.TanhTester) ... ok #2340 test_good (theano.tensor.tests.test_basic.TanhTester) ... ok #2341 test_grad (theano.tensor.tests.test_basic.TanhTester) ... ok #2342 test_grad_none (theano.tensor.tests.test_basic.TanhTester) ... ok #2343 test_Op_integers (theano.tensor.tests.test_basic.TestARange) ... ok #2344 test_default_start (theano.tensor.tests.test_basic.TestARange) ... ok #2345 test_default_step (theano.tensor.tests.test_basic.TestARange) ... ok #2346 test_dtype_cache (theano.tensor.tests.test_basic.TestARange) ... ok #2347 test_float32 (theano.tensor.tests.test_basic.TestARange) ... ok #2348 test_float64 (theano.tensor.tests.test_basic.TestARange) ... ok #2349 test_grads (theano.tensor.tests.test_basic.TestARange) ... ok #2350 test_infer_shape (theano.tensor.tests.test_basic.TestARange) ... ok #2351 test_integers (theano.tensor.tests.test_basic.TestARange) ... ok #2352 test_upcast (theano.tensor.tests.test_basic.TestARange) ... ok #2353 test_alloc_constant_folding (theano.tensor.tests.test_basic.TestAlloc) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #2354 test_alloc_output (theano.tensor.tests.test_basic.TestAlloc) ... ok #2355 test_ones (theano.tensor.tests.test_basic.TestAlloc) ... ok #2356 test_zeros (theano.tensor.tests.test_basic.TestAlloc) ... ok #2357 test_alloc_diag_values (theano.tensor.tests.test_basic.TestAllocDiag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2358 test_above_output_len (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2359 test_below_zero_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2360 test_list (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2361 test_one_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2362 test_strip_leading_broadcastable (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2363 test_infer_shape (theano.tensor.tests.test_basic.TestInferShape) ... /build/theano-1.0.3+dfsg/theano/tensor/tests/test_basic.py:8227: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(advec, aivec_val)], /build/theano-1.0.3+dfsg/theano/tensor/tests/test_basic.py:8235: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(admat, aivec_val)], /build/theano-1.0.3+dfsg/theano/tensor/tests/test_basic.py:8243: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(adtens4, aivec_val)], ok #2364 test_dim1 (theano.tensor.tests.test_basic.TestInversePermutation) ... ok #2365 test_dim2 (theano.tensor.tests.test_basic.TestInversePermutation) ... ok #2366 test_mgrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2367 test_mgrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2368 test_ogrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2369 test_ogrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2370 test_1_1 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2371 test_1_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2372 test_2_1 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2373 test_2_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2374 test_3b_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2375 test_bad_number_of_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok #2376 test_bad_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok #2377 test_argmax (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2378 test_argmin (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2379 test_argsort (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2380 test_clip (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2381 test_conj (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2382 test_cumprod (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2383 test_cumsum (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2384 test_diagonal (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2385 test_dot (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2386 test_ravel (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2387 test_real_imag (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2388 test_repeat (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2389 test_round (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2390 test_std (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2391 test_take (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2392 test_trace (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2393 test_bad_build (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2394 test_bad_runtime (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2395 test_good (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2396 test_grad (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2397 test_grad_none (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2398 test_bad_build (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2399 test_bad_runtime (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2400 test_good (theano.tensor.tests.test_basic.TriGammaTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 293.696s OK 53% done in 297.483s (failed: 0) #2401 test_grad (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2402 test_grad_none (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2403 test_bad_build (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2404 test_bad_runtime (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2405 test_good (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2406 test_grad (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2407 test_grad_none (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2408 test_bad_build (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2409 test_bad_runtime (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2410 test_good (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2411 test_grad (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2412 test_grad_none (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2413 test_bad_build (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2414 test_bad_runtime (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2415 test_good (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2416 test_grad (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2417 test_grad_none (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2418 test_bad_build (theano.tensor.tests.test_basic.TruncTester) ... ok #2419 test_bad_runtime (theano.tensor.tests.test_basic.TruncTester) ... ok #2420 test_good (theano.tensor.tests.test_basic.TruncTester) ... ok #2421 test_grad (theano.tensor.tests.test_basic.TruncTester) ... ok #2422 test_grad_none (theano.tensor.tests.test_basic.TruncTester) ... ok #2423 test_bad_build (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2424 test_bad_runtime (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2425 test_good (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2426 test_grad (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2427 test_grad_none (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2428 test_Op_dims (theano.tensor.tests.test_basic.t_dot) ... ok #2429 test_align_1_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2430 test_align_1_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2431 test_align_1_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2432 test_align_2_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2433 test_align_2_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2434 test_align_2_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2435 test_align_3_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2436 test_align_3_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2437 test_align_3_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2438 test_broadcastable_patterns (theano.tensor.tests.test_basic.t_dot) ... ok #2439 test_dot_0d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2440 test_dot_0d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2441 test_dot_0d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2442 test_dot_0d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2443 test_dot_1d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2444 test_dot_1d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2445 test_dot_1d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2446 test_dot_1d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2447 test_dot_1d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2448 test_dot_1d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2449 test_dot_1d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2450 test_dot_1d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2451 test_dot_1d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2452 test_dot_1d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2453 test_dot_2d0_0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2454 test_dot_2d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2455 test_dot_2d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2456 test_dot_2d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2457 test_dot_2d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2458 test_dot_2d_0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2459 test_dot_2d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2460 test_dot_2d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2461 test_dot_2d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2462 test_dot_2d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2463 test_dot_2d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2464 test_dot_2d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2465 test_dot_3d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2466 test_dot_3d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2467 test_dot_3d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2468 test_dot_3d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2469 test_grad (theano.tensor.tests.test_basic.t_dot) ... ok #2470 test_arithmetic_cast (theano.tensor.tests.test_basic.test_arithmetic_cast) ... SKIP: Known issue withnumpy see #761 #2471 test_and (theano.tensor.tests.test_basic.test_bitwise) ... ok #2472 test_eye (theano.tensor.tests.test_basic.test_bitwise) ... ok #2473 test_inv (theano.tensor.tests.test_basic.test_bitwise) ... ok #2474 test_or (theano.tensor.tests.test_basic.test_bitwise) ... ok #2475 test_xor (theano.tensor.tests.test_basic.test_bitwise) ... ok #2476 test_broadcast_bigdim (theano.tensor.tests.test_basic.test_broadcast) ... ok #2477 test_infer_shape (theano.tensor.tests.test_basic.test_broadcast) ... ok #2478 test_patternbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok #2479 test_unbroadcast_addbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok #2480 test_allclose (theano.tensor.tests.test_basic.test_comparison) ... ok #2481 test_eq (theano.tensor.tests.test_basic.test_comparison) ... ok #2482 test_ge (theano.tensor.tests.test_basic.test_comparison) ... ok #2483 test_gt (theano.tensor.tests.test_basic.test_comparison) ... ok #2484 test_isclose (theano.tensor.tests.test_basic.test_comparison) ... ok #2485 test_le (theano.tensor.tests.test_basic.test_comparison) ... ok #2486 test_lt (theano.tensor.tests.test_basic.test_comparison) ... ok #2487 test_neq (theano.tensor.tests.test_basic.test_comparison) ... ok #2488 test_fail (theano.tensor.tests.test_basic.test_complex_mod) ... ok #2489 test_bias (theano.tensor.tests.test_basic.test_cov) ... ok #2490 test_core (theano.tensor.tests.test_basic.test_cov) ... ok #2491 test_ddof (theano.tensor.tests.test_basic.test_cov) ... ok #2492 test_rowvar (theano.tensor.tests.test_basic.test_cov) ... ok #2493 test_y (theano.tensor.tests.test_basic.test_cov) ... ok #2494 test_diag (theano.tensor.tests.test_basic.test_diag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2495 test_diag_grad (theano.tensor.tests.test_basic.test_diag) ... ok #2496 test_infer_shape (theano.tensor.tests.test_basic.test_diag) ... ok #2497 test_1None_rval (theano.tensor.tests.test_basic.test_grad) ... ok #2498 test_1param (theano.tensor.tests.test_basic.test_grad) ... ok #2499 test_NNone_rval (theano.tensor.tests.test_basic.test_grad) ... ok #2500 test_Nparam (theano.tensor.tests.test_basic.test_grad) ... ok ---------------------------------------------------------------------- Ran 100 tests in 596.837s OK (SKIP=1) 55% done in 601.497s (failed: 0) #2501 test_cost_is_scalar (theano.tensor.tests.test_basic.test_grad) ... ok #2502 test_grad_keep_type (theano.tensor.tests.test_basic.test_grad) ... ok #2503 test_zero_gradient_shape (theano.tensor.tests.test_basic.test_grad) ... ok #2504 test_reciprocal (theano.tensor.tests.test_basic.test_matinv) ... ok #2505 test_flatnonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok #2506 test_nonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok #2507 test_nonzero_values (theano.tensor.tests.test_basic.test_nonzero) ... ok #2508 test_dtype_equality (theano.tensor.tests.test_basic.test_numpy_assumptions) ... ok #2509 test_ndarray_copy (theano.tensor.tests.test_basic.test_numpy_assumptions) ... ok #2510 test_interface (theano.tensor.tests.test_basic.test_ptp) ... ok #2511 test_matrix_first_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2512 test_matrix_neg_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2513 test_matrix_no_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2514 test_matrix_second_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2515 test_scalar (theano.tensor.tests.test_basic.test_ptp) ... ok #2516 test_vector (theano.tensor.tests.test_basic.test_ptp) ... ok #2517 test_matrix (theano.tensor.tests.test_basic.test_size) ... ok #2518 test_scalar (theano.tensor.tests.test_basic.test_size) ... ok #2519 test_shared (theano.tensor.tests.test_basic.test_size) ... ok #2520 test_vector (theano.tensor.tests.test_basic.test_size) ... ok #2521 test0 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2522 test_broadcastable1 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2523 test_broadcastable2 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2524 test_raise_error (theano.tensor.tests.test_basic.test_tensordot) ... ok #2525 test_scalar0 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2526 test_scalar_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok #2527 test_weird_valid_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok #2528 test_tri (theano.tensor.tests.test_basic.test_triangle) ... ok #2529 test_tril_triu (theano.tensor.tests.test_basic.test_triangle) ... ok #2530 theano.tensor.tests.test_basic.test_maximum_minimum_grad ... ok #2531 theano.tensor.tests.test_basic.test_py_c_match ... ok #2532 theano.tensor.tests.test_basic.test_verify_jv_grad ... ok #2533 theano.tensor.tests.test_basic.test_verify_iv_grad ... ok #2534 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 #2535 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 #2536 theano.tensor.tests.test_basic.test_batched_dot ... ok #2537 theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(0,) ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(1,) ... ok #2538 theano.tensor.tests.test_basic.test_batched_tensordot ... ok #2539 theano.tensor.tests.test_basic.test_tensor_values_eq_approx ... ok #2540 theano.tensor.tests.test_basic.test_nan_inf_constant_signature ... ok #2541 theano.tensor.tests.test_basic.test_isnan ... ok #2542 theano.tensor.tests.test_basic.test_basic_allclose ... ok #2543 theano.tensor.tests.test_basic.test_join_inplace ... ok #2544 theano.tensor.tests.test_basic.test_join_oneInput ... ok #2545 theano.tensor.tests.test_basic.test_make_column_matrix_broadcastable ... ok #2546 theano.tensor.tests.test_basic.test_flatten_outdimNone ... ok #2547 theano.tensor.tests.test_basic.test_flatten_scalar ... ok #2548 theano.tensor.tests.test_basic.test_flatten_ndim1 ... ok #2549 theano.tensor.tests.test_basic.test_flatten_ndim2 ... ok #2550 theano.tensor.tests.test_basic.test_flatten_ndim2_of_3 ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:5262: UserWarning: flatten outdim parameter is deprecated, use ndim instead. "flatten outdim parameter is deprecated, use ndim instead.") ok #2551 theano.tensor.tests.test_basic.test_flatten_broadcastable ... ok #2552 theano.tensor.tests.test_basic.test_flatten_ndim_invalid ... ok #2553 theano.tensor.tests.test_basic.test_is_flat ... ok #2554 theano.tensor.tests.test_basic.test_tile ... ok #2555 theano.tensor.tests.test_basic.test_tile_grad ... ok #2556 theano.tensor.tests.test_basic.test_smallest_stack ... ok #2557 theano.tensor.tests.test_basic.test_smallest ... ok #2558 theano.tensor.tests.test_basic.test_reshape_member_fn ... ok #2559 theano.tensor.tests.test_basic.test_var ... ok #2560 theano.tensor.tests.test_basic.test_default ... ok #2561 theano.tensor.tests.test_basic.test_default_state ... ok #2562 theano.tensor.tests.test_basic.test_autocast ... ok #2563 theano.tensor.tests.test_basic.test_len ... ok #2564 theano.tensor.tests.test_basic.test_mod ... ok #2565 theano.tensor.tests.test_basic.test_divmod ... ok #2566 theano.tensor.tests.test_basic.test_mod_compile ... ok #2567 theano.tensor.tests.test_basic.test_unalign ... ok #2568 theano.tensor.tests.test_basic.test_dimshuffle_duplicate ... ok #2569 theano.tensor.tests.test_basic.test_transpose ... ok #2570 theano.tensor.tests.test_basic.test_stacklists ... ok #2571 theano.tensor.tests.test_basic.test_norm ... ok #2572 theano.tensor.tests.test_basic.test_allocempty ... ok #2573 theano.tensor.tests.test_basic.test_symbolic_slice ... ok #2574 test0 (theano.tensor.tests.test_blas.T_real_matrix) ... ok #2575 test_dot22 (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2576 test_dot22scalar (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2577 test_gemm (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2578 test_gemm_non_contiguous (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2579 test_gemv (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2580 test_ger_strides (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2581 test_a_strides (theano.tensor.tests.test_blas.TestDgemv) ... ok #2582 test_a_strides_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2583 test_default_beta_y (theano.tensor.tests.test_blas.TestDgemv) ... ok #2584 test_simple (theano.tensor.tests.test_blas.TestDgemv) ... ok #2585 test_simple_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2586 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestDgemv) ... ok #2587 test_x_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok #2588 test_x_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2589 test_y_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok #2590 test_y_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2591 theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, True, True) ... ok #2592 test_dot_mv (theano.tensor.tests.test_blas.TestGemv) ... ok #2593 test_dot_vm (theano.tensor.tests.test_blas.TestGemv) ... ok #2594 test_dot_vv (theano.tensor.tests.test_blas.TestGemv) ... ok #2595 test_gemv1 (theano.tensor.tests.test_blas.TestGemv) ... ok #2596 test_gemv2 (theano.tensor.tests.test_blas.TestGemv) ... ok #2597 test_gemv_broadcast (theano.tensor.tests.test_blas.TestGemv) ... ok #2598 test_gemv_dimensions (theano.tensor.tests.test_blas.TestGemv) ... ok #2599 test_A_plus_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2600 test_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok ---------------------------------------------------------------------- Ran 1350 tests in 442.916s OK 58% done in 446.740s (failed: 0) #2601 test_b_0_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2602 test_b_1_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2603 test_b_nonconst_does_not_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2604 test_b_other_does_not_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2605 test_c128_1_9 (theano.tensor.tests.test_blas.TestGer) ... ok #2606 test_c64_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2607 test_f32_0_0 (theano.tensor.tests.test_blas.TestGer) ... ok #2608 test_f32_0_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2609 test_f32_1_0 (theano.tensor.tests.test_blas.TestGer) ... ok #2610 test_f32_1_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2611 test_f32_1_2 (theano.tensor.tests.test_blas.TestGer) ... ok #2612 test_f32_4_4 (theano.tensor.tests.test_blas.TestGer) ... ok #2613 test_f32_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2614 test_f64_4_5 (theano.tensor.tests.test_blas.TestGer) ... ok #2615 test_inplace (theano.tensor.tests.test_blas.TestGer) ... ok #2616 test_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2617 test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2618 test_eq (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2619 test_hash (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2620 test_name (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2621 test_fails_for_mixed_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2622 test_fails_for_nonmatrix_A (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2623 test_fails_for_nonscalar_alpha (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2624 test_fails_for_nonvector_x_or_y (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2625 test_fails_on_invalid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2626 test_works_on_all_valid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2627 test_a_strides (theano.tensor.tests.test_blas.TestSgemv) ... ok #2628 test_a_strides_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2629 test_default_beta_y (theano.tensor.tests.test_blas.TestSgemv) ... ok #2630 test_simple (theano.tensor.tests.test_blas.TestSgemv) ... ok #2631 test_simple_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2632 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestSgemv) ... ok #2633 test_x_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok #2634 test_x_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2635 test_y_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok #2636 test_y_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2637 test0 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2638 test1 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2639 test2 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2640 test3 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2641 test0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2642 test0a (theano.tensor.tests.test_blas.t_gemm) ... ok #2643 test10 (theano.tensor.tests.test_blas.t_gemm) ... ok #2644 test11 (theano.tensor.tests.test_blas.t_gemm) ... ok #2645 test12 (theano.tensor.tests.test_blas.t_gemm) ... ok #2646 test2 (theano.tensor.tests.test_blas.t_gemm) ... ok #2647 test4 (theano.tensor.tests.test_blas.t_gemm) ... ok #2648 test5 (theano.tensor.tests.test_blas.t_gemm) ... ok #2649 test6 (theano.tensor.tests.test_blas.t_gemm) ... ok #2650 test7 (theano.tensor.tests.test_blas.t_gemm) ... ok #2651 test8 (theano.tensor.tests.test_blas.t_gemm) ... ok #2652 test9 (theano.tensor.tests.test_blas.t_gemm) ... ok #2653 test_destroy_map0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2654 test_destroy_map1 (theano.tensor.tests.test_blas.t_gemm) ... ok #2655 test_destroy_map2 (theano.tensor.tests.test_blas.t_gemm) ... ok #2656 test_destroy_map3 (theano.tensor.tests.test_blas.t_gemm) ... ok #2657 test_destroy_map4 (theano.tensor.tests.test_blas.t_gemm) ... ok #2658 test_factorised_scalar (theano.tensor.tests.test_blas.t_gemm) ... ok #2659 test_non_contiguous (theano.tensor.tests.test_blas.t_gemm) ... ok #2660 test_shape_0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2661 test_transposes (theano.tensor.tests.test_blas.t_gemm) ... ok #2662 test_dot22 (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2663 test_dot22scalar (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2664 test_gemm (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2665 test_gemv (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2666 test_ger (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2667 theano.tensor.tests.test_blas.test_dot_eq ... ok #2668 theano.tensor.tests.test_blas.test_res_is_a ... ok #2669 theano.tensor.tests.test_blas.test_gemm_opt0 ... ok #2670 theano.tensor.tests.test_blas.test_gemm_opt_double_gemm ... ok #2671 theano.tensor.tests.test_blas.test_gemm_canonicalize ... ok #2672 theano.tensor.tests.test_blas.test_gemm_factor ... ok #2673 theano.tensor.tests.test_blas.test_upcasting_scalar_nogemm ... ok #2674 theano.tensor.tests.test_blas.test_gemm_nested ... ok #2675 theano.tensor.tests.test_blas.test_gemm_opt_wishlist ... ok #2676 theano.tensor.tests.test_blas.test_gemm_with_vector ... ok #2677 theano.tensor.tests.test_blas.test_gemm_opt_vector_stuff ... ok #2678 theano.tensor.tests.test_blas.test_gemm_unrolled ... ok #2679 theano.tensor.tests.test_blas.test_inplace0 ... ok #2680 theano.tensor.tests.test_blas.test_inplace1 ... ok #2681 theano.tensor.tests.test_blas.test_dot22 ... ok #2682 theano.tensor.tests.test_blas.test_dot22scalar ... ok #2683 theano.tensor.tests.test_blas.test_dot22scalar_cast ... ok #2684 theano.tensor.tests.test_blas.test_local_dot22_to_dot22scalar ... ok #2685 theano.tensor.tests.test_blas.test_dot_w_self ... ok #2686 test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2687 test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2688 test_gemm (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2689 test_gemm_non_contiguous (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2690 test_gemv (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2691 test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2692 test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2693 test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2694 test_gemm (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2695 test_gemm_non_contiguous (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2696 test_gemv (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2697 test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2698 test_force_gemv_init (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2699 test_gemv1 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2700 test_gemv_dimensions (theano.tensor.tests.test_blas_c.TestCGemv) ... ok ---------------------------------------------------------------------- Ran 100 tests in 220.170s OK 60% done in 224.567s (failed: 0) #2701 test_multiple_inplace (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2702 test_nan_beta_0 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2703 test_optimizations_mv (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2704 test_optimizations_vm (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2705 test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2706 test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2707 test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2708 test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2709 test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2710 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2711 test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2712 test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2713 test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2714 test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2715 test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2716 test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2717 test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2718 test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2719 test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2720 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2721 test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2722 test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2723 test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2724 test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2725 theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, True, True) ... ok #2726 test_A_plus_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2727 test_A_plus_scaled_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2728 test_eq (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2729 test_hash (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2730 test_int_fails (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2731 test_optimization_pipeline (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2732 test_optimization_pipeline_float (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2733 theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, True, True) ... ok #2734 test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2735 test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2736 test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2737 test_gemm_non_contiguous (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2738 test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2739 test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2740 test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2741 test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2742 test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2743 test_gemm_non_contiguous (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2744 test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2745 test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2746 test_A_plus_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2747 test_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2748 test_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2749 test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2750 test_0 (theano.tensor.tests.test_casting.test_casting) ... ok #2751 test_basic (theano.tensor.tests.test_casting.test_casting) ... ok #2752 test_bug_complext_10_august_09 (theano.tensor.tests.test_casting.test_casting) ... ok #2753 test_convert_to_complex (theano.tensor.tests.test_casting.test_casting) ... ok #2754 test_illegal (theano.tensor.tests.test_casting.test_casting) ... ok #2755 test0 (theano.tensor.tests.test_complex.TestRealImag) ... ok #2756 test_abs_grad (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_abs_grad: Complex grads not enabled, see #178 #2757 test_cast (theano.tensor.tests.test_complex.TestRealImag) ... ok #2758 test_complex (theano.tensor.tests.test_complex.TestRealImag) ... ok #2759 test_complex_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_complex_grads: Complex grads not enabled, see #178 #2760 test_mul_mixed (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed: Complex grads not enabled, see #178 #2761 test_mul_mixed0 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed0: Complex grads not enabled, see #178 #2762 test_mul_mixed1 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed1: Complex grads not enabled, see #178 #2763 test_on_real_input (theano.tensor.tests.test_complex.TestRealImag) ... ok #2764 test_polar_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_polar_grads: Complex grads not enabled, see #178 #2765 test_mean_custom_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok #2766 test_mean_default_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok #2767 test_mean_precision (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok #2768 test_prod_without_zeros_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2769 test_prod_without_zeros_custom_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2770 test_prod_without_zeros_default_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2771 test_prod_without_zeros_default_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2772 test_reduce_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2773 test_reduce_custom_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2774 test_reduce_default_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2775 test_reduce_default_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2776 test_reduce_precision (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2777 test_all_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok #2778 test_any_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok #2779 test_elemwise_grad_bool (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2780 test_infer_shape (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2781 test_input_dimensions_overflow (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2782 test_c (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2783 test_c_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2784 test_fill (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2785 test_fill_grad (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2786 test_fill_var (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2787 test_perform (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2788 test_perform_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2789 test_same_inputs (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2790 test_weird_strides (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2791 test_c (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2792 test_c_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2793 test_c_noopt (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2794 test_infer_shape (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2795 test_perform (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2796 test_perform_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2797 test_perform_noopt (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2798 test_c_or_py (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2799 test_infer_shape (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2800 test_perform (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok ---------------------------------------------------------------------- Ran 242 tests in 1803.088s OK (SKIP=6) 62% done in 1807.247s (failed: 0) #2801 test_too_big_rank (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2802 test_isinf (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok #2803 test_isnan (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok #2804 test_mul_without_zeros_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2805 test_other_grad_tests (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2806 test_pickle_bug (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2807 test_prod_no_zeros_in_input (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2808 test_prod_without_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2809 test_prod_without_zeros_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2810 test_verify_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2811 test_verify_grad_with_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2812 test_argmax_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2813 test_max_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2814 test_mean_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2815 test_min_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2816 test_sum_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2817 test_var_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2818 theano.tensor.tests.test_elemwise.test_gt_grad ... ok #2819 theano.tensor.tests.test_elemwise.test_clip_grad ... ok #2820 theano.tensor.tests.test_elemwise.test_grad_useless_sum ... ok #2821 theano.tensor.tests.test_elemwise.test_elemwise_grad_broadcast ... ok #2822 theano.tensor.tests.test_elemwise.test_clip_grad_int ... ok #2823 theano.tensor.tests.test_elemwise.test_not_implemented_elemwise_grad ... ok #2824 test_op (theano.tensor.tests.test_extra_ops.CompressTester) ... ok #2825 test_grad (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2826 test_infer_shape (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2827 test_op (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2828 test_var_interface (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2829 test_infer_shape (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok #2830 test_perform (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok #2831 test_bincountFn (theano.tensor.tests.test_extra_ops.TestBinCount) ... ok #2832 test_cum_op (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2833 test_grad (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2834 test_infer_shape (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2835 test_diffOp (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2836 test_grad (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2837 test_infer_shape (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2838 test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2839 test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2840 test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2841 test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2842 test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2843 test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2844 test_broadcastable (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2845 test_grad (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2846 test_infer_shape (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2847 test_repeatOp (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2848 test_grad (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2849 test_infer_shape (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2850 test_searchsortedOp_on_float_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2851 test_searchsortedOp_on_int_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2852 test_searchsortedOp_on_no_1d_inp (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2853 test_searchsortedOp_on_right_side (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2854 test_searchsortedOp_on_sorted_input (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2855 test_searchsortedOp_wrong_side_kwd (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2856 test_basic_matrix (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2857 test_basic_vector (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2858 test_infer_shape_matrix (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2859 test_infer_shape_vector (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2860 test_ravel_multi_index (theano.tensor.tests.test_extra_ops.test_ravel_multi_index) ... ok #2861 test_unravel_index (theano.tensor.tests.test_extra_ops.test_unravel_index) ... ok #2862 theano.tensor.tests.test_extra_ops.test_cpu_contiguous ... ok #2863 theano.tensor.tests.test_extra_ops.test_to_one_hot ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #2864 test_1Drfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2865 test_grad_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2866 test_irfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2867 test_norm_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2868 test_params (theano.tensor.tests.test_fft.TestFFT) ... ok #2869 test_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2870 test_rfft_float (theano.tensor.tests.test_fft.TestFFT) ... ok #2871 test_gradient (theano.tensor.tests.test_fourier.TestFourier) ... SKIP: Skipping test: test_gradient: Complex grads not enabled, see #178 #2872 test_infer_shape (theano.tensor.tests.test_fourier.TestFourier) ... ok #2873 test_perform (theano.tensor.tests.test_fourier.TestFourier) ... ok #2874 theano.tensor.tests.test_gc.test_no_reuse ... ok #2875 theano.tensor.tests.test_gc.test_gc_never_pickles_temporaries ... ok #2876 theano.tensor.tests.test_gc.test_merge_opt_runtime ... ok #2877 test_grad_inc_set (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2878 test_simple_2d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2879 test_simple_3d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2880 test_wrong_broadcast (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2881 test_wrong_dims (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2882 test0 (theano.tensor.tests.test_io.T_load_tensor) ... ok #2883 test1 (theano.tensor.tests.test_io.T_load_tensor) ... ok #2884 test_invalid_modes (theano.tensor.tests.test_io.T_load_tensor) ... ok #2885 test_memmap (theano.tensor.tests.test_io.T_load_tensor) ... ok #2886 test_keepdims (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok #2887 test_norm (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok #2888 theano.tensor.tests.test_merge.test_merge_with_weird_eq ... ok #2889 theano.tensor.tests.test_misc.test_bug_2009_06_02_trac_387 ... ok #2890 theano.tensor.tests.test_misc.test_bug_2009_07_17_borrowed_output ... ok #2891 theano.tensor.tests.test_misc.test_deepcopied_type_filter ... ok #2892 theano.tensor.tests.test_mpi.test_send ... ok #2893 theano.tensor.tests.test_mpi.test_mpi_roundtrip ... SKIP: MPI not enabled #2894 theano.tensor.tests.test_mpi.test_mpi_send_wait_cmp ... ok #2895 theano.tensor.tests.test_mpi.test_mpi_schedule ... ok #2896 theano.tensor.tests.test_mpi.test_can_make_function ... ok #2897 theano.tensor.tests.test_mpi.test_mpi_tag_ordering ... ok #2898 theano.tensor.tests.test_mpi.test_recv ... ok #2899 test_non_square_matrix (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok #2900 test_numpy_compare (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok ---------------------------------------------------------------------- Ran 100 tests in 486.263s OK (SKIP=2) 64% done in 490.180s (failed: 0) #2901 test_non_tensorial_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2902 test_numpy_compare (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2903 test_tensor_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2904 test_wrong_type_of_ord_for_matrix (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2905 test_wrong_type_of_ord_for_vector (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2906 test_correct_solution (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2907 test_wrong_coefficient_matrix (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2908 test_wrong_rcond_dimension (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2909 test_eval (theano.tensor.tests.test_nlinalg.test_Eig) ... ok #2910 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eig) ... ok #2911 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2912 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2913 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2914 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2915 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2916 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2917 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2918 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2919 test_infer_shape (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok #2920 test_inverse_correctness (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok #2921 test_svd (theano.tensor.tests.test_nlinalg.test_SVD) ... ok #2922 test_svd_infer_shape (theano.tensor.tests.test_nlinalg.test_SVD) ... ok #2923 test_eval (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok #2924 test_infer_shape (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok #2925 test_alloc_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2926 test_alloc_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2927 test_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2928 test_extract_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2929 test_extract_diag_empty (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2930 test_extract_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2931 theano.tensor.tests.test_nlinalg.test_pseudoinverse_correctness ... ok #2932 theano.tensor.tests.test_nlinalg.test_pseudoinverse_grad ... ok #2933 theano.tensor.tests.test_nlinalg.test_matrix_dot ... ok #2934 theano.tensor.tests.test_nlinalg.test_qr_modes ... ok #2935 theano.tensor.tests.test_nlinalg.test_tensorsolve ... ok #2936 theano.tensor.tests.test_nlinalg.test_inverse_singular ... ok #2937 theano.tensor.tests.test_nlinalg.test_inverse_grad ... ok #2938 theano.tensor.tests.test_nlinalg.test_det ... ok #2939 theano.tensor.tests.test_nlinalg.test_det_grad ... ok #2940 theano.tensor.tests.test_nlinalg.test_det_shape ... ok #2941 theano.tensor.tests.test_nlinalg.test_trace ... ok #2942 test_local_useless_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok #2943 test_rebroadcast_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok #2944 test_local_useless_tile (theano.tensor.tests.test_opt.T_Tile) ... ok #2945 test_consecutive (theano.tensor.tests.test_opt.T_cast_cast) ... ok #2946 test_upcast (theano.tensor.tests.test_opt.T_cast_cast) ... ok #2947 test (theano.tensor.tests.test_opt.T_func_inverse) ... ok #2948 test_local_erf_minus_one (theano.tensor.tests.test_opt.T_local_erf) ... ok #2949 test_local_one_minus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok #2950 test_local_one_plus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok #2951 test_local_erf_neg_minus_one (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2952 test_local_grad_log_erfc_neg (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2953 test_local_log_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2954 test_local_one_minus_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2955 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok #2956 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok #2957 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok #2958 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2959 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2960 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2961 test_local_reduce_broadcast_all_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2962 test_local_reduce_broadcast_all_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2963 test_local_reduce_broadcast_some_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2964 test_local_reduce_broadcast_some_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2965 test_local_reduce_join (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2966 test_local_sum_prod_all_to_none (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2967 test_local_sum_prod_alloc (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2968 test_local_sum_prod_mul_by_scalar (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2969 test_local_sum_prod_mul_by_scalar_stack_trace (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2970 test_local_sum_sum_dtype (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2971 test_local_sum_sum_int8 (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2972 test_local_sum_sum_prod_prod (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2973 test_local_prod_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok #2974 test_local_sum_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok #2975 test_local_div_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok #2976 test_local_mul_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok #2977 test_add (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2978 test_eq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2979 test_identity (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2980 test_mul (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2981 test_neq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2982 test_local_useless_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok #2983 test_nested_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok #2984 test1 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #2985 test2 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #2986 test3 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #2987 test_infer_shape (theano.tensor.tests.test_opt.TestMakeVector) ... ok #2988 test_make_vector (theano.tensor.tests.test_opt.TestMakeVector) ... ok #2989 test_scalar (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2990 test_vector (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2991 test_vector2 (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2992 test_vector_dim (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2993 test_vector_dim_err (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2994 test_infer_shape (theano.tensor.tests.test_opt.TestShape_i) ... ok #2995 test_perform (theano.tensor.tests.test_opt.TestShape_i) ... ok #2996 test_local_reshape (theano.tensor.tests.test_opt.Test_Reshape) ... ok #2997 test_advancedincsubtensor1_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #2998 test_advancedincsubtensor1_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #2999 test_advancedincsubtensor1_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3000 test_advancedincsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok ---------------------------------------------------------------------- Ran 100 tests in 277.647s OK 67% done in 281.690s (failed: 0) #3001 test_advancedincsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3002 test_advancedincsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3003 test_dot_allocs_0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3004 test_incsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3005 test_incsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3006 test_incsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3007 test_incsubtensor_x_zeros (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3008 test_setsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3009 test_setsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3010 test_setsubtensor_allocs1t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3011 test_setsubtensor_allocs2 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3012 test_matrix_col (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3013 test_matrix_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3014 test_row_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3015 test0 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3016 test1 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3017 test2 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3018 test_useless_alloc_with_shape_one (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3019 test_error (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3020 test_multi_input_single_alloc (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3021 test_remove_alloc_w_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3022 test_remove_alloc_wo_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3023 test_1 (theano.tensor.tests.test_opt.Test_local_reshape_to_dimshuffle) ... ok #3024 test_and (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3025 test_and_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3026 test_equality_shapes (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3027 test_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3028 test_local_useless_elemwise_comparison (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3029 test_or (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3030 test_or_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3031 test_shape_add_inequality (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3032 test_shape_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3033 test_stacktrace (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3034 test_xor (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3035 test_advanced_inc_subtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #3036 test_advanced_inc_subtensor1 (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok #3037 test_incsubtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok #3038 test_0 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3039 test_1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3040 test_2 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3041 test_m1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3042 test_basic (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3043 test_broadcasted (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3044 test_different_dtypes (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3045 test_fewer_dims (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3046 test_multiple_idx (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3047 test_not_applied (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3048 test0 (theano.tensor.tests.test_opt.test_assert) ... ok #3049 test_infer_shape (theano.tensor.tests.test_opt.test_assert) ... ok #3050 test_local_remove_all_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok #3051 test_local_remove_useless_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok #3052 test_local_remove_useless_assert3 (theano.tensor.tests.test_opt.test_assert) ... ok #3053 test_test_local_remove_useless_assert2 (theano.tensor.tests.test_opt.test_assert) ... ok #3054 test_abs_mul_div (theano.tensor.tests.test_opt.test_canonize) ... ok #3055 test_canonicalize_nan (theano.tensor.tests.test_opt.test_canonize) ... ok #3056 test_dont_merge_if_multiple_client (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Not implemented #3057 test_elemwise_multiple_inputs_optimisation (theano.tensor.tests.test_opt.test_canonize) ... ok #3058 test_elemwise_multiple_inputs_optimisation2 (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Current implementation of Canonizer does not implement all cases. Skip the corresponding test. #3059 test_muldiv (theano.tensor.tests.test_opt.test_canonize) ... ok #3060 test_multiple_case (theano.tensor.tests.test_opt.test_canonize) ... ok #3061 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. #3062 test_dimshuffle_on_broadcastable (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3063 test_double_transpose (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3064 test_elim3 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3065 test_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3066 test_merge2 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3067 test_recursive_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3068 test_useless_dimshuffle (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3069 test_elemwise_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok #3070 test_elemwise_fusion_4d (theano.tensor.tests.test_opt.test_fusion) ... ok #3071 test_fusion_35inputs (theano.tensor.tests.test_opt.test_fusion) ... ok #3072 test_fusion_inplace (theano.tensor.tests.test_opt.test_fusion) ... ok #3073 test_pickle_big_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok #3074 test_kording_bug (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok #3075 test_main (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok #3076 test0 (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... /build/theano-1.0.3+dfsg/theano/tensor/opt.py:3523: UserWarning: Your current code is fine, but Theano versions between 0.7rc1 and 0.10 (or development versions between Nov. 2014 and May 2017) might have given incorrect results. This graph has following pattern: inc_subtensor(zeros[idx], x)[idx], where idx is an array of integers. This used to be optimized to "x", which is incorrect if there are duplicated indices in idx. To disable this warning, set the Theano flag warn.inc_subtensor1_opt to False. 'Your current code is fine, but Theano versions ' ok #3077 test_assert (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok #3078 test_stack_trace (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok #3079 test_elemwise (theano.tensor.tests.test_opt.test_local_merge_switch_same_cond) ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #3080 test0 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3081 test0b (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3082 test1 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3083 test2 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3084 test3 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3085 test4 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3086 test5 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3087 test6 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3088 test7 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3089 test_AdvancedSubtensor1_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3090 test_scalar_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3091 test_slice_idx_step (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3092 test_slice_idx_stop (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3093 test_stack_trace (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3094 test_const (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3095 test_const2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3096 test_const3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3097 test_const4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3098 test_const5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3099 test_const6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3100 test_const_general (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok ---------------------------------------------------------------------- Ran 100 tests in 552.651s OK (SKIP=3) 69% done in 560.373s (failed: 0) #3101 test_none_index (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3102 test_none_slice (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3103 test_scalar (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3104 test_scalar2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3105 test_scalar3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3106 test_scalar4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3107 test_scalar5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3108 test_scalar6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3109 test_broadcast1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3110 test_broadcast2 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3111 test_broadcast3 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3112 test_const0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3113 test_const1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3114 test_left_is_right (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3115 test_shape_le_0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3116 test0 (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3117 test_broadcasted_dims (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3118 test_constant (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3119 test_constant_merge (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3120 test_local_track_shape_i (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3121 test_no_shapeopt (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3122 theano.tensor.tests.test_opt.test_local_useless_dimshuffle_in_reshape ... ok #3123 theano.tensor.tests.test_opt.test_add_canonizer_problem0 ... ok #3124 theano.tensor.tests.test_opt.test_local_merge_abs ... ok #3125 theano.tensor.tests.test_opt.test_merge_abs_bugfix ... ok #3126 theano.tensor.tests.test_opt.test_mixeddiv ... ok #3127 theano.tensor.tests.test_opt.test_const_type_in_mul_canonizer ... ok #3128 theano.tensor.tests.test_opt.test_cast_in_mul_canonizer ... ok #3129 theano.tensor.tests.test_opt.test_log1p ... ok #3130 theano.tensor.tests.test_opt.test_log_add ... SKIP: log(add(exp)) is not stabilized when adding more than 2 elements, see #623 #3131 theano.tensor.tests.test_opt.test_local_useless_slice ... ok #3132 theano.tensor.tests.test_opt.test_local_useless_inc_subtensor ... ok #3133 theano.tensor.tests.test_opt.test_local_useless_subtensor ... ok #3134 theano.tensor.tests.test_opt.test_local_subtensor_remove_broadcastable_index ... ok #3135 theano.tensor.tests.test_opt.test_local_IncSubtensor_serialize ... ok #3136 theano.tensor.tests.test_opt.test_local_set_to_inc_subtensor ... ok #3137 theano.tensor.tests.test_opt.test_local_subtensor_of_dot ... ok #3138 theano.tensor.tests.test_opt.test_local_subtensor_of_alloc ... ok #3139 theano.tensor.tests.test_opt.test_local_fill_useless ... ok #3140 theano.tensor.tests.test_opt.test_local_elemwise_sub_zeros ... ok #3141 theano.tensor.tests.test_opt.test_local_mul_specialize ... ok #3142 theano.tensor.tests.test_opt.test_local_pow_specialize ... ok #3143 theano.tensor.tests.test_opt.test_local_pow_specialize_device_more_aggressive_on_cpu ... ok #3144 theano.tensor.tests.test_opt.test_constant_folding ... ok #3145 theano.tensor.tests.test_opt.test_constant_get_stabilized ... SKIP: Theano optimizes constant before stabilization. This breaks stabilization optimization in some cases. See #504. #3146 theano.tensor.tests.test_opt.test_local_join_1 ... ok #3147 theano.tensor.tests.test_opt.test_local_join_empty ... ok #3148 theano.tensor.tests.test_opt.test_local_join_make_vector ... ok #3149 theano.tensor.tests.test_opt.test_local_add_specialize ... ok #3150 theano.tensor.tests.test_opt.test_local_tensor_scalar_tensor ... ok #3151 theano.tensor.tests.test_opt.test_local_scalar_tensor_scalar ... ok #3152 theano.tensor.tests.test_opt.test_local_div_to_inv ... ok #3153 theano.tensor.tests.test_opt.test_local_useless_split ... ok #3154 theano.tensor.tests.test_opt.test_local_flatten_lift ... ok #3155 theano.tensor.tests.test_opt.test_local_reshape_lift ... ok #3156 theano.tensor.tests.test_opt.test_local_upcast_elemwise_constant_inputs ... ok #3157 theano.tensor.tests.test_opt.test_assert_op_gradient ... ok #3158 theano.tensor.tests.test_opt.test_local_zero_div ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #3159 theano.tensor.tests.test_opt.test_local_sumsqr2dot ... ok #3160 theano.tensor.tests.test_opt.test_local_expm1 ... ok #3161 theano.tensor.tests.test_opt.test_local_merge_alloc ... ok #3162 theano.tensor.tests.test_opt.test_local_useless_alloc ... ok #3163 theano.tensor.tests.test_opt.test_local_log_sum_exp1 ... ok #3164 theano.tensor.tests.test_opt.test_local_log_sum_exp2 ... ok #3165 theano.tensor.tests.test_opt.test_local_log_sum_exp3 ... ok #3166 test_optimization (theano.tensor.tests.test_opt_uncanonicalize.T_max_and_argmax) ... ok #3167 test_optimization_max (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok #3168 test_optimization_min (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok #3169 theano.tensor.tests.test_opt_uncanonicalize.test_local_alloc_dimshuffle ... ok #3170 theano.tensor.tests.test_opt_uncanonicalize.test_local_reshape_dimshuffle ... ok #3171 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_alloc ... ok #3172 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_subtensor ... ok #3173 test_args (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3174 test_basic_usage (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3175 test_binomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3176 test_binomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3177 test_broadcast_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3178 test_choice (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3179 test_default_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3180 test_dtype (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3181 test_dtype_normal_uniform_687 (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3182 test_infer_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3183 test_inplace_norun (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3184 test_inplace_optimization (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3185 test_mixed_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3186 test_mixed_shape_bcastable (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3187 test_multinomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3188 test_multinomial_tensor3_a (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3189 test_multinomial_tensor3_b (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3190 test_multinomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3191 test_no_inplace (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3192 test_normal (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3193 test_normal_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3194 test_permutation (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3195 test_permutation_helper (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3196 test_pkl (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3197 test_poisson (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3198 test_random_function_ndim (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3199 test_random_function_ndim_added (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3200 test_random_function_noshape_args (theano.tensor.tests.test_raw_random.T_random_function) ... ok ---------------------------------------------------------------------- Ran 100 tests in 482.437s OK (SKIP=2) 71% done in 486.419s (failed: 0) #3201 test_random_function_noshape_noargs (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3202 test_random_integers (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3203 test_random_integers_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3204 test_symbolic_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3205 test_uniform (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3206 test_uniform_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3207 test_vector_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3208 test_basics (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3209 test_binomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3210 test_broadcast_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3211 test_choice (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3212 test_default_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3213 test_default_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3214 test_default_updates (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3215 test_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3216 test_get_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3217 test_get_value_internal_type (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3218 test_getitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3219 test_mixed_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3220 test_mixed_shape_bcastable (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3221 test_multinomial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3222 test_multinomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3223 test_multiple_rng_aliasing (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3224 test_ndim (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3225 test_normal (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3226 test_normal_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3227 test_permutation (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3228 test_poisson (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3229 test_random_integers (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3230 test_random_integers_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3231 test_random_state_transfer (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3232 test_seed_fn (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3233 test_set_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3234 test_setitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3235 test_shared_constructor_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3236 test_shuffle_row_elements (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3237 test_symbolic_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3238 test_tutorial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3239 test_uniform (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3240 test_uniform_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3241 test_vector_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3242 test_get_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3243 test_inplace_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3244 test_return_internal_type (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3245 test_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3246 test_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3247 test_shape_i (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3248 test_shared_do_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3249 test_shared_dont_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3250 test_specify_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3251 test_specify_shape_inplace (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3252 test_specify_shape_partial (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3253 test_values_eq (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3254 theano.tensor.tests.test_sharedvar.test_scalar_shared_options ... ok #3255 test_numpy_2d (theano.tensor.tests.test_slinalg.TestKron) ... ok #3256 test_perform (theano.tensor.tests.test_slinalg.TestKron) ... ok #3257 test_infer_shape (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3258 test_solve_correctness (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3259 test_solve_dtype (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3260 test_solve_grad (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3261 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(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok #3262 theano.tensor.tests.test_slinalg.test_cholesky_indef ... ok #3263 theano.tensor.tests.test_slinalg.test_cholesky_grad ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok #3264 theano.tensor.tests.test_slinalg.test_cholesky_grad_indef ... ok #3265 theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok #3266 theano.tensor.tests.test_slinalg.test_eigvalsh ... ok #3267 theano.tensor.tests.test_slinalg.test_eigvalsh_grad ... ok #3268 theano.tensor.tests.test_slinalg.test_expm ... ok #3269 theano.tensor.tests.test_slinalg.test_expm_grad_1 ... ok #3270 theano.tensor.tests.test_slinalg.test_expm_grad_2 ... ok #3271 theano.tensor.tests.test_slinalg.test_expm_grad_3 ... ok #3272 test_sort (theano.tensor.tests.test_sort.SortInferShapeTester) ... ok #3273 test_argtopk_1d_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3274 test_argtopk_1d_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3275 test_argtopk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:285: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3276 test_argtopk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3277 test_argtopk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3278 test_argtopk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3279 test_argtopk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3280 test_argtopk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3281 test_argtopk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3282 test_argtopk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3283 test_argtopk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3284 test_argtopk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3285 test_argtopk_1d_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3286 test_argtopk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3287 test_argtopk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3288 test_argtopk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3289 test_argtopk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3290 test_argtopk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3291 test_argtopk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3292 test_argtopk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3293 test_argtopk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3294 test_argtopk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3295 test_argtopk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3296 test_argtopk_1d_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3297 test_argtopk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3298 test_argtopk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3299 test_argtopk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3300 test_argtopk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 122 tests in 88.654s OK 73% done in 93.131s (failed: 0) #3301 test_argtopk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:285: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3302 test_argtopk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3303 test_argtopk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3304 test_argtopk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3305 test_argtopk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3306 test_argtopk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3307 test_argtopk_1d_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3308 test_argtopk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3309 test_argtopk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3310 test_argtopk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3311 test_argtopk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3312 test_argtopk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3313 test_argtopk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3314 test_argtopk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3315 test_argtopk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3316 test_argtopk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3317 test_argtopk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3318 test_argtopk_1d_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3319 test_argtopk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3320 test_argtopk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3321 test_argtopk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3322 test_argtopk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3323 test_argtopk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3324 test_argtopk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3325 test_argtopk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3326 test_argtopk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3327 test_argtopk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3328 test_argtopk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3329 test_argtopk_1d_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3330 test_argtopk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3331 test_argtopk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3332 test_argtopk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3333 test_argtopk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3334 test_argtopk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3335 test_argtopk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3336 test_argtopk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3337 test_argtopk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3338 test_argtopk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3339 test_argtopk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3340 test_argtopk_1d_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3341 test_argtopk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3342 test_argtopk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3343 test_argtopk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3344 test_argtopk_1d_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3345 test_argtopk_1d_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3346 test_argtopk_1d_collision_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3347 test_argtopk_1d_collision_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3348 test_argtopk_1d_collision_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3349 test_argtopk_1d_collision_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3350 test_argtopk_1d_collision_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3351 test_argtopk_1d_collision_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3352 test_argtopk_1d_collision_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3353 test_argtopk_1d_collision_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3354 test_argtopk_1d_collision_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3355 test_argtopk_1d_collision_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3356 test_argtopk_1d_collision_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3357 test_argtopk_1d_collision_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3358 test_argtopk_1d_collision_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3359 test_argtopk_1d_collision_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3360 test_argtopk_1d_collision_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3361 test_argtopk_1d_collision_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3362 test_argtopk_1d_collision_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3363 test_argtopk_1d_collision_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3364 test_argtopk_1d_collision_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3365 test_argtopk_nd_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3366 test_argtopk_nd_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3367 test_argtopk_nd_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3368 test_argtopk_nd_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3369 test_argtopk_nd_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3370 test_argtopk_nd_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3371 test_argtopk_nd_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3372 test_argtopk_nd_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3373 test_argtopk_nd_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3374 test_argtopk_nd_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3375 test_argtopk_nd_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3376 test_argtopk_nd_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3377 test_argtopk_nd_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3378 test_argtopk_nd_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3379 test_argtopk_nd_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3380 test_argtopk_nd_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3381 test_argtopk_nd_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3382 test_argtopk_nd_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3383 test_argtopk_nd_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3384 test_argtopk_nd_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3385 test_argtopk_nd_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3386 test_argtopk_nd_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3387 test_argtopk_nd_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3388 test_argtopk_nd_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3389 test_argtopk_nd_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3390 test_argtopk_nd_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3391 test_argtopk_nd_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3392 test_argtopk_nd_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3393 test_argtopk_nd_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3394 test_argtopk_nd_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3395 test_argtopk_nd_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3396 test_argtopk_nd_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3397 test_argtopk_nd_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3398 test_argtopk_nd_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3399 test_argtopk_nd_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3400 test_argtopk_nd_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 26.284s OK 75% done in 30.008s (failed: 0) #3401 test_argtopk_nd_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3402 test_argtopk_nd_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3403 test_argtopk_nd_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3404 test_argtopk_nd_44 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:285: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3405 test_argtopk_nd_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3406 test_argtopk_nd_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3407 test_argtopk_nd_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3408 test_argtopk_nd_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3409 test_argtopk_nd_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3410 test_argtopk_nd_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3411 test_argtopk_nd_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3412 test_argtopk_nd_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3413 test_argtopk_sanity_0_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3414 test_argtopk_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3415 test_argtopk_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3416 test_argtopk_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3417 test_argtopk_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3418 test_argtopk_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3419 test_argtopk_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3420 test_argtopk_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3421 test_argtopk_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3422 test_argtopk_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3423 test_argtopk_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3424 test_argtopk_sanity_10_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3425 test_argtopk_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3426 test_argtopk_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3427 test_argtopk_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3428 test_argtopk_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3429 test_argtopk_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3430 test_argtopk_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3431 test_argtopk_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3432 test_argtopk_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3433 test_argtopk_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3434 test_argtopk_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3435 test_argtopk_sanity_11_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3436 test_argtopk_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3437 test_argtopk_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3438 test_argtopk_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3439 test_argtopk_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3440 test_argtopk_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3441 test_argtopk_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3442 test_argtopk_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3443 test_argtopk_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3444 test_argtopk_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3445 test_argtopk_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3446 test_argtopk_sanity_12_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3447 test_argtopk_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3448 test_argtopk_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3449 test_argtopk_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3450 test_argtopk_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3451 test_argtopk_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3452 test_argtopk_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3453 test_argtopk_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3454 test_argtopk_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3455 test_argtopk_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3456 test_argtopk_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3457 test_argtopk_sanity_13_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3458 test_argtopk_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3459 test_argtopk_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3460 test_argtopk_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3461 test_argtopk_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3462 test_argtopk_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3463 test_argtopk_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3464 test_argtopk_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3465 test_argtopk_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3466 test_argtopk_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3467 test_argtopk_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3468 test_argtopk_sanity_14_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3469 test_argtopk_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3470 test_argtopk_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3471 test_argtopk_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3472 test_argtopk_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3473 test_argtopk_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3474 test_argtopk_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3475 test_argtopk_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3476 test_argtopk_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3477 test_argtopk_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3478 test_argtopk_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3479 test_argtopk_sanity_15_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3480 test_argtopk_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3481 test_argtopk_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3482 test_argtopk_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3483 test_argtopk_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3484 test_argtopk_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3485 test_argtopk_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3486 test_argtopk_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3487 test_argtopk_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3488 test_argtopk_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3489 test_argtopk_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3490 test_argtopk_sanity_16_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3491 test_argtopk_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3492 test_argtopk_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3493 test_argtopk_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3494 test_argtopk_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3495 test_argtopk_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3496 test_argtopk_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3497 test_argtopk_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3498 test_argtopk_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3499 test_argtopk_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3500 test_argtopk_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 20.846s OK 78% done in 24.516s (failed: 0) #3501 test_argtopk_sanity_17_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3502 test_argtopk_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3503 test_argtopk_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3504 test_argtopk_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3505 test_argtopk_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3506 test_argtopk_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3507 test_argtopk_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3508 test_argtopk_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3509 test_argtopk_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3510 test_argtopk_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3511 test_argtopk_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3512 test_argtopk_sanity_18_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3513 test_argtopk_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3514 test_argtopk_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3515 test_argtopk_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3516 test_argtopk_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3517 test_argtopk_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3518 test_argtopk_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3519 test_argtopk_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3520 test_argtopk_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3521 test_argtopk_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3522 test_argtopk_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3523 test_argtopk_sanity_19_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3524 test_argtopk_sanity_1_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3525 test_argtopk_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3526 test_argtopk_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3527 test_argtopk_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3528 test_argtopk_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3529 test_argtopk_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3530 test_argtopk_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3531 test_argtopk_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3532 test_argtopk_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3533 test_argtopk_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3534 test_argtopk_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3535 test_argtopk_sanity_20_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3536 test_argtopk_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3537 test_argtopk_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3538 test_argtopk_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3539 test_argtopk_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3540 test_argtopk_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3541 test_argtopk_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3542 test_argtopk_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3543 test_argtopk_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3544 test_argtopk_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3545 test_argtopk_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3546 test_argtopk_sanity_21_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3547 test_argtopk_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3548 test_argtopk_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3549 test_argtopk_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3550 test_argtopk_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3551 test_argtopk_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3552 test_argtopk_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3553 test_argtopk_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3554 test_argtopk_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3555 test_argtopk_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3556 test_argtopk_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3557 test_argtopk_sanity_22_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3558 test_argtopk_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3559 test_argtopk_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3560 test_argtopk_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3561 test_argtopk_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3562 test_argtopk_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3563 test_argtopk_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3564 test_argtopk_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3565 test_argtopk_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3566 test_argtopk_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3567 test_argtopk_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3568 test_argtopk_sanity_23_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3569 test_argtopk_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3570 test_argtopk_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3571 test_argtopk_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3572 test_argtopk_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3573 test_argtopk_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3574 test_argtopk_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3575 test_argtopk_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3576 test_argtopk_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3577 test_argtopk_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3578 test_argtopk_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3579 test_argtopk_sanity_24_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3580 test_argtopk_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3581 test_argtopk_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3582 test_argtopk_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3583 test_argtopk_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3584 test_argtopk_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3585 test_argtopk_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3586 test_argtopk_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3587 test_argtopk_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3588 test_argtopk_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3589 test_argtopk_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3590 test_argtopk_sanity_25_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3591 test_argtopk_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3592 test_argtopk_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3593 test_argtopk_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3594 test_argtopk_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3595 test_argtopk_sanity_26_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3596 test_argtopk_sanity_27_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3597 test_argtopk_sanity_28_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3598 test_argtopk_sanity_29_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3599 test_argtopk_sanity_2_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3600 test_argtopk_sanity_30_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 19.440s OK 80% done in 23.127s (failed: 0) #3601 test_argtopk_sanity_31_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3602 test_argtopk_sanity_32_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3603 test_argtopk_sanity_33_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3604 test_argtopk_sanity_34_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3605 test_argtopk_sanity_35_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3606 test_argtopk_sanity_36_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3607 test_argtopk_sanity_37_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3608 test_argtopk_sanity_38_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3609 test_argtopk_sanity_39_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3610 test_argtopk_sanity_3_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3611 test_argtopk_sanity_40_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3612 test_argtopk_sanity_41_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3613 test_argtopk_sanity_42_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3614 test_argtopk_sanity_43_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3615 test_argtopk_sanity_44_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3616 test_argtopk_sanity_45_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3617 test_argtopk_sanity_46_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3618 test_argtopk_sanity_47_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3619 test_argtopk_sanity_48_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3620 test_argtopk_sanity_49_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3621 test_argtopk_sanity_4_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3622 test_argtopk_sanity_50_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3623 test_argtopk_sanity_51_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3624 test_argtopk_sanity_52_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3625 test_argtopk_sanity_53_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3626 test_argtopk_sanity_54_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3627 test_argtopk_sanity_55_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3628 test_argtopk_sanity_56_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3629 test_argtopk_sanity_57_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3630 test_argtopk_sanity_58_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3631 test_argtopk_sanity_59_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3632 test_argtopk_sanity_5_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3633 test_argtopk_sanity_60_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3634 test_argtopk_sanity_61_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3635 test_argtopk_sanity_62_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3636 test_argtopk_sanity_63_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3637 test_argtopk_sanity_64_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3638 test_argtopk_sanity_65_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3639 test_argtopk_sanity_66_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3640 test_argtopk_sanity_67_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3641 test_argtopk_sanity_68_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3642 test_argtopk_sanity_69_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3643 test_argtopk_sanity_6_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3644 test_argtopk_sanity_70_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3645 test_argtopk_sanity_71_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3646 test_argtopk_sanity_72_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3647 test_argtopk_sanity_73_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3648 test_argtopk_sanity_74_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3649 test_argtopk_sanity_75_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3650 test_argtopk_sanity_76_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3651 test_argtopk_sanity_77_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3652 test_argtopk_sanity_78_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3653 test_argtopk_sanity_79_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3654 test_argtopk_sanity_7_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3655 test_argtopk_sanity_80_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3656 test_argtopk_sanity_81_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3657 test_argtopk_sanity_82_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3658 test_argtopk_sanity_83_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3659 test_argtopk_sanity_84_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3660 test_argtopk_sanity_85_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3661 test_argtopk_sanity_86_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3662 test_argtopk_sanity_87_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3663 test_argtopk_sanity_88_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3664 test_argtopk_sanity_89_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3665 test_argtopk_sanity_8_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3666 test_argtopk_sanity_90_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3667 test_argtopk_sanity_91_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3668 test_argtopk_sanity_92_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3669 test_argtopk_sanity_93_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3670 test_argtopk_sanity_94_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3671 test_argtopk_sanity_95_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3672 test_argtopk_sanity_96_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3673 test_argtopk_sanity_97_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3674 test_argtopk_sanity_98_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3675 test_argtopk_sanity_99_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3676 test_argtopk_sanity_9_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3677 test_combined_1d_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3678 test_combined_1d_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3679 test_combined_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3680 test_combined_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3681 test_combined_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3682 test_combined_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3683 test_combined_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3684 test_combined_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3685 test_combined_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3686 test_combined_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3687 test_combined_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3688 test_combined_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3689 test_combined_1d_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3690 test_combined_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3691 test_combined_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3692 test_combined_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3693 test_combined_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3694 test_combined_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3695 test_combined_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3696 test_combined_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3697 test_combined_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3698 test_combined_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3699 test_combined_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3700 test_combined_1d_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 19.365s OK 82% done in 23.078s (failed: 0) #3701 test_combined_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3702 test_combined_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3703 test_combined_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3704 test_combined_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3705 test_combined_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3706 test_combined_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3707 test_combined_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3708 test_combined_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3709 test_combined_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3710 test_combined_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3711 test_combined_1d_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3712 test_combined_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3713 test_combined_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3714 test_combined_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3715 test_combined_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3716 test_combined_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3717 test_combined_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3718 test_combined_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3719 test_combined_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3720 test_combined_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3721 test_combined_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3722 test_combined_1d_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3723 test_combined_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3724 test_combined_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3725 test_combined_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3726 test_combined_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3727 test_combined_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3728 test_combined_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3729 test_combined_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3730 test_combined_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3731 test_combined_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3732 test_combined_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3733 test_combined_1d_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3734 test_combined_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3735 test_combined_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3736 test_combined_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3737 test_combined_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3738 test_combined_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3739 test_combined_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3740 test_combined_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3741 test_combined_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3742 test_combined_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3743 test_combined_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3744 test_combined_1d_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3745 test_combined_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3746 test_combined_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3747 test_combined_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3748 test_combined_1d_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3749 test_combined_1d_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3750 test_combined_sanity_0_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3751 test_combined_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3752 test_combined_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3753 test_combined_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3754 test_combined_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3755 test_combined_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3756 test_combined_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3757 test_combined_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3758 test_combined_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3759 test_combined_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3760 test_combined_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3761 test_combined_sanity_10_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3762 test_combined_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3763 test_combined_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3764 test_combined_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3765 test_combined_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3766 test_combined_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3767 test_combined_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3768 test_combined_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3769 test_combined_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3770 test_combined_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3771 test_combined_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3772 test_combined_sanity_11_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3773 test_combined_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3774 test_combined_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3775 test_combined_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3776 test_combined_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3777 test_combined_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3778 test_combined_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3779 test_combined_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3780 test_combined_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3781 test_combined_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3782 test_combined_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3783 test_combined_sanity_12_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3784 test_combined_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3785 test_combined_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3786 test_combined_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3787 test_combined_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3788 test_combined_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3789 test_combined_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3790 test_combined_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3791 test_combined_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3792 test_combined_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3793 test_combined_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3794 test_combined_sanity_13_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3795 test_combined_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3796 test_combined_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3797 test_combined_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3798 test_combined_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3799 test_combined_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3800 test_combined_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 19.307s OK 84% done in 22.966s (failed: 0) #3801 test_combined_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3802 test_combined_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3803 test_combined_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3804 test_combined_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3805 test_combined_sanity_14_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3806 test_combined_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3807 test_combined_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3808 test_combined_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3809 test_combined_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3810 test_combined_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3811 test_combined_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3812 test_combined_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3813 test_combined_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3814 test_combined_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3815 test_combined_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3816 test_combined_sanity_15_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3817 test_combined_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3818 test_combined_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3819 test_combined_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3820 test_combined_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3821 test_combined_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3822 test_combined_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3823 test_combined_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3824 test_combined_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3825 test_combined_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3826 test_combined_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3827 test_combined_sanity_16_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3828 test_combined_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3829 test_combined_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3830 test_combined_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3831 test_combined_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3832 test_combined_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3833 test_combined_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3834 test_combined_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3835 test_combined_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3836 test_combined_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3837 test_combined_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3838 test_combined_sanity_17_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3839 test_combined_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3840 test_combined_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3841 test_combined_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3842 test_combined_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3843 test_combined_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3844 test_combined_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3845 test_combined_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3846 test_combined_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3847 test_combined_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3848 test_combined_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3849 test_combined_sanity_18_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3850 test_combined_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3851 test_combined_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3852 test_combined_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3853 test_combined_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3854 test_combined_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3855 test_combined_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3856 test_combined_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3857 test_combined_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3858 test_combined_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3859 test_combined_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3860 test_combined_sanity_19_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3861 test_combined_sanity_1_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3862 test_combined_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3863 test_combined_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3864 test_combined_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3865 test_combined_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3866 test_combined_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3867 test_combined_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3868 test_combined_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3869 test_combined_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3870 test_combined_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3871 test_combined_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3872 test_combined_sanity_20_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3873 test_combined_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3874 test_combined_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3875 test_combined_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3876 test_combined_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3877 test_combined_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3878 test_combined_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3879 test_combined_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3880 test_combined_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3881 test_combined_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3882 test_combined_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3883 test_combined_sanity_21_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3884 test_combined_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3885 test_combined_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3886 test_combined_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3887 test_combined_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3888 test_combined_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3889 test_combined_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3890 test_combined_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3891 test_combined_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3892 test_combined_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3893 test_combined_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3894 test_combined_sanity_22_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3895 test_combined_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3896 test_combined_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3897 test_combined_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3898 test_combined_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3899 test_combined_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3900 test_combined_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 19.267s OK 87% done in 22.926s (failed: 0) #3901 test_combined_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3902 test_combined_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3903 test_combined_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3904 test_combined_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3905 test_combined_sanity_23_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3906 test_combined_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3907 test_combined_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3908 test_combined_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3909 test_combined_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3910 test_combined_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3911 test_combined_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3912 test_combined_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3913 test_combined_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3914 test_combined_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3915 test_combined_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3916 test_combined_sanity_24_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3917 test_combined_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3918 test_combined_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3919 test_combined_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3920 test_combined_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3921 test_combined_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3922 test_combined_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3923 test_combined_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3924 test_combined_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3925 test_combined_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3926 test_combined_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3927 test_combined_sanity_25_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3928 test_combined_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3929 test_combined_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3930 test_combined_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3931 test_combined_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3932 test_combined_sanity_26_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3933 test_combined_sanity_27_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3934 test_combined_sanity_28_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3935 test_combined_sanity_29_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3936 test_combined_sanity_2_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3937 test_combined_sanity_30_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3938 test_combined_sanity_31_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3939 test_combined_sanity_32_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3940 test_combined_sanity_33_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3941 test_combined_sanity_34_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3942 test_combined_sanity_35_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3943 test_combined_sanity_36_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3944 test_combined_sanity_37_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3945 test_combined_sanity_38_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3946 test_combined_sanity_39_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3947 test_combined_sanity_3_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3948 test_combined_sanity_40_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3949 test_combined_sanity_41_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3950 test_combined_sanity_42_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3951 test_combined_sanity_43_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3952 test_combined_sanity_44_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3953 test_combined_sanity_45_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3954 test_combined_sanity_46_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3955 test_combined_sanity_47_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3956 test_combined_sanity_48_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3957 test_combined_sanity_49_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3958 test_combined_sanity_4_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3959 test_combined_sanity_50_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3960 test_combined_sanity_51_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3961 test_combined_sanity_52_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3962 test_combined_sanity_53_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3963 test_combined_sanity_54_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3964 test_combined_sanity_55_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3965 test_combined_sanity_56_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3966 test_combined_sanity_57_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3967 test_combined_sanity_58_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3968 test_combined_sanity_59_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3969 test_combined_sanity_5_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3970 test_combined_sanity_60_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3971 test_combined_sanity_61_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3972 test_combined_sanity_62_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3973 test_combined_sanity_63_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3974 test_combined_sanity_64_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3975 test_combined_sanity_65_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3976 test_combined_sanity_66_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3977 test_combined_sanity_67_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3978 test_combined_sanity_68_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3979 test_combined_sanity_69_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3980 test_combined_sanity_6_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3981 test_combined_sanity_70_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3982 test_combined_sanity_71_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3983 test_combined_sanity_72_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3984 test_combined_sanity_73_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3985 test_combined_sanity_74_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3986 test_combined_sanity_75_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3987 test_combined_sanity_76_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3988 test_combined_sanity_77_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3989 test_combined_sanity_78_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3990 test_combined_sanity_79_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3991 test_combined_sanity_7_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3992 test_combined_sanity_80_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3993 test_combined_sanity_81_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3994 test_combined_sanity_82_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3995 test_combined_sanity_83_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3996 test_combined_sanity_84_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3997 test_combined_sanity_85_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3998 test_combined_sanity_86_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3999 test_combined_sanity_87_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4000 test_combined_sanity_88_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 19.325s OK 89% done in 22.986s (failed: 0) #4001 test_combined_sanity_89_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4002 test_combined_sanity_8_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4003 test_combined_sanity_90_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4004 test_combined_sanity_91_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4005 test_combined_sanity_92_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4006 test_combined_sanity_93_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4007 test_combined_sanity_94_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4008 test_combined_sanity_95_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4009 test_combined_sanity_96_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4010 test_combined_sanity_97_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4011 test_combined_sanity_98_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4012 test_combined_sanity_99_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4013 test_combined_sanity_9_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4014 test_grad_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4015 test_grad_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4016 test_grad_10 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #4017 test_grad_11 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:274: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zv = np.partition(x, -k, axis=axis)[idx] /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4018 test_grad_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4019 test_grad_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4020 test_grad_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4021 test_grad_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4022 test_grad_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4023 test_grad_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4024 test_grad_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4025 test_grad_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4026 test_grad_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4027 test_grad_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4028 test_grad_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4029 test_grad_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4030 test_grad_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4031 test_grad_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4032 test_grad_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4033 test_grad_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4034 test_grad_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4035 test_grad_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4036 test_grad_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4037 test_grad_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4038 test_topk_1d_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4039 test_topk_1d_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4040 test_topk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4041 test_topk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4042 test_topk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4043 test_topk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4044 test_topk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4045 test_topk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4046 test_topk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4047 test_topk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4048 test_topk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4049 test_topk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4050 test_topk_1d_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4051 test_topk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4052 test_topk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4053 test_topk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4054 test_topk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4055 test_topk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4056 test_topk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4057 test_topk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4058 test_topk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4059 test_topk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4060 test_topk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4061 test_topk_1d_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4062 test_topk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4063 test_topk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4064 test_topk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4065 test_topk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4066 test_topk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4067 test_topk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4068 test_topk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4069 test_topk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4070 test_topk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4071 test_topk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4072 test_topk_1d_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4073 test_topk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4074 test_topk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4075 test_topk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4076 test_topk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4077 test_topk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4078 test_topk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4079 test_topk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4080 test_topk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4081 test_topk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4082 test_topk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4083 test_topk_1d_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4084 test_topk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4085 test_topk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4086 test_topk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4087 test_topk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4088 test_topk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4089 test_topk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4090 test_topk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4091 test_topk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4092 test_topk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4093 test_topk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4094 test_topk_1d_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4095 test_topk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4096 test_topk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4097 test_topk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4098 test_topk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4099 test_topk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4100 test_topk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 124.541s OK 91% done in 128.281s (failed: 0) #4101 test_topk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:274: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zv = np.partition(x, -k, axis=axis)[idx] ok #4102 test_topk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4103 test_topk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4104 test_topk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4105 test_topk_1d_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4106 test_topk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4107 test_topk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4108 test_topk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4109 test_topk_1d_73 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4110 test_topk_1d_74 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4111 test_topk_1d_75 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4112 test_topk_1d_76 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4113 test_topk_1d_77 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4114 test_topk_1d_78 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4115 test_topk_1d_79 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4116 test_topk_1d_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4117 test_topk_1d_80 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4118 test_topk_1d_81 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4119 test_topk_1d_82 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4120 test_topk_1d_83 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4121 test_topk_1d_84 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4122 test_topk_1d_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4123 test_topk_sanity_0_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4124 test_topk_sanity_10_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4125 test_topk_sanity_11_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4126 test_topk_sanity_12_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4127 test_topk_sanity_13_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4128 test_topk_sanity_14_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4129 test_topk_sanity_15_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4130 test_topk_sanity_16_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4131 test_topk_sanity_17_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4132 test_topk_sanity_18_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4133 test_topk_sanity_19_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4134 test_topk_sanity_1_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4135 test_topk_sanity_20_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4136 test_topk_sanity_21_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4137 test_topk_sanity_22_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4138 test_topk_sanity_23_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4139 test_topk_sanity_24_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4140 test_topk_sanity_25_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4141 test_topk_sanity_26_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4142 test_topk_sanity_27_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4143 test_topk_sanity_28_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4144 test_topk_sanity_29_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4145 test_topk_sanity_2_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4146 test_topk_sanity_30_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4147 test_topk_sanity_31_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4148 test_topk_sanity_32_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4149 test_topk_sanity_3_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4150 test_topk_sanity_4_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4151 test_topk_sanity_5_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4152 test_topk_sanity_6_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4153 test_topk_sanity_7_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4154 test_topk_sanity_8_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4155 test_topk_sanity_9_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4156 test1 (theano.tensor.tests.test_sort.Test_sort) ... ok #4157 test2 (theano.tensor.tests.test_sort.Test_sort) ... ok #4158 test3 (theano.tensor.tests.test_sort.Test_sort) ... ok #4159 test4 (theano.tensor.tests.test_sort.Test_sort) ... ok #4160 test5 (theano.tensor.tests.test_sort.Test_sort) ... ok #4161 test_None (theano.tensor.tests.test_sort.Test_sort) ... ok #4162 test_grad_negative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4163 test_grad_negative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... ok #4164 test_grad_negative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... ok #4165 test_grad_none_axis (theano.tensor.tests.test_sort.Test_sort) ... ok #4166 test_grad_nonnegative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... ok #4167 test_grad_nonnegative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... ok #4168 test_grad_nonnegative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... ok #4169 test_grad_vector (theano.tensor.tests.test_sort.Test_sort) ... ok #4170 test_combined_infer_shape_0 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4171 test_combined_infer_shape_1 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4172 test_combined_infer_shape_10 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4173 test_combined_infer_shape_11 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4174 test_combined_infer_shape_12 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4175 test_combined_infer_shape_13 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4176 test_combined_infer_shape_14 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4177 test_combined_infer_shape_15 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4178 test_combined_infer_shape_16 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4179 test_combined_infer_shape_17 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4180 test_combined_infer_shape_18 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4181 test_combined_infer_shape_19 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4182 test_combined_infer_shape_2 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4183 test_combined_infer_shape_3 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4184 test_combined_infer_shape_4 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4185 test_combined_infer_shape_5 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4186 test_combined_infer_shape_6 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4187 test_combined_infer_shape_7 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4188 test_combined_infer_shape_8 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4189 test_combined_infer_shape_9 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4190 theano.tensor.tests.test_sort.test_argsort ... ok #4191 theano.tensor.tests.test_sort.test_argsort_grad ... ok #4192 test0_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4193 test1_0_dims (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4194 test1_err_bounds (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4195 test1_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4196 test1_err_subslice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4197 test1_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4198 test1_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4199 test1_ok_range_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4200 test1_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok ---------------------------------------------------------------------- Ran 100 tests in 91.061s OK 93% done in 95.091s (failed: 0) #4201 test2_err_bounds0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4202 test2_err_bounds1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4203 test2_ok_col (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4204 test2_ok_cols_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4205 test2_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4206 test2_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4207 test2_ok_row (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4208 test2_ok_rows_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4209 test2_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4210 test3_ok_mat (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4211 test_adv1_inc_sub_notlastdim (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4212 test_adv1_inc_sub_notlastdim_1_2dval_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4213 test_adv1_inc_sub_notlastdim_1_2dval_no_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4214 test_adv1_inc_sub_notlastdim_2didx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4215 test_adv_constant_arg (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4216 test_adv_sub1_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4217 test_adv_sub1_idx_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4218 test_advanced1_inc_and_set (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4219 test_boolean (theano.tensor.tests.test_subtensor.T_subtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) /build/theano-1.0.3+dfsg/theano/tensor/tests/test_subtensor.py:363: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. x[idx] += a ok #4220 test_ellipsis (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4221 test_err_bound_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4222 test_err_invalid_2list_dtype (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4223 test_err_invalid_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4224 test_grad_0d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4225 test_grad_1d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4226 test_grad_2d_inc_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4227 test_grad_advanced_inc_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4228 test_grad_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4229 test_inc_and_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4230 test_list_slice (theano.tensor.tests.test_subtensor.T_subtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/tests/test_subtensor.py:323: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. np.allclose(res, x[[slice(1, -1)] * x.ndim]) ok #4231 test_long (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4232 test_long_too_big (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4233 test_newaxis (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4234 test_noncontiguous_idx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4235 test_ok_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4236 test_shape_i_const (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4237 test_shape_i_scalar (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4238 test_shape_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4239 test_slice_canonical_form_0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4240 test_slice_canonical_form_1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4241 test_slice_canonical_form_2 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4242 test_slice_canonical_form_3 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4243 test_slice_canonical_form_4 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4244 test_slice_canonical_form_5 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4245 test_slice_canonical_form_6 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4246 test_slice_symbol (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4247 test_take (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4248 test_wrong_exception_regression (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4249 test_adv_grouped (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4250 test_adv_sub_3d (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4251 test_adv_sub_slice (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4252 test_adv_subtensor_w_int_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4253 test_adv_subtensor_w_matrix_and_int (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4254 test_adv_subtensor_w_matrix_and_none (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4255 test_adv_subtensor_w_none_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4256 test_adv_subtensor_w_slice_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4257 test_advanced_indexing (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4258 test_advinc_subtensor (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4259 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4260 test_grad (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #4261 test_inc_adv_subtensor1_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4262 test_inc_adv_subtensor_w_2vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4263 test_inc_adv_subtensor_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4264 test_inc_adv_subtensor_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4265 test_inc_adv_subtensor_with_index_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4266 test_index_into_mat_w_row (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4267 test_index_into_vec_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4268 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4269 test_index_w_int_and_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4270 test_1d_inc_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4271 test_1d_inc_adv_selection_w_broadcasting (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4272 test_1d_set_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4273 test_assigning_matrix_to_vector_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4274 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4275 test_inc_bcastableidx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4276 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4277 test_matrix_idx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4278 test_adv_sub (theano.tensor.tests.test_subtensor.TestInferShape) ... ok #4279 test_boolean (theano.tensor.tests.test_subtensor.TestInferShape) ... ok #4280 test_infer_shape (theano.tensor.tests.test_subtensor.TestInferShape) ... ok #4281 theano.tensor.tests.test_type_other.test_make_slice_merge ... ok #4282 theano.tensor.tests.test_type_other.test_none_Constant ... ok #4283 test_err (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4284 test_simple (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4285 test_subtensor (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4286 theano.tensor.tests.test_utils.test_hash_from_ndarray ... ok #4287 theano.tensor.tests.test_var.test_numpy_method ... ok #4288 theano.tensor.tests.test_var.test_empty_list_indexing ... ok #4289 theano.tensor.tests.test_var.test_copy ... ok #4290 theano.tensor.tests.test_var.test_None_dimShuffle_replace ... ok #4291 test0 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok #4292 test1 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok #4293 test2 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok #4294 test3 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok #4295 test_correct_answer (theano.typed_list.tests.test_basic.TestMakeList) ... ok #4296 test_wrong_shape (theano.typed_list.tests.test_basic.TestMakeList) ... ok #4297 test_inplace (theano.typed_list.tests.test_basic.test_append) ... ok #4298 test_interfaces (theano.typed_list.tests.test_basic.test_append) ... ok #4299 test_sanity_check (theano.typed_list.tests.test_basic.test_append) ... ok #4300 test_interface (theano.typed_list.tests.test_basic.test_count) ... ok ---------------------------------------------------------------------- Ran 100 tests in 276.715s OK 96% done in 281.687s (failed: 0) #4301 test_non_tensor_type (theano.typed_list.tests.test_basic.test_count) ... ok #4302 test_sanity_check (theano.typed_list.tests.test_basic.test_count) ... ok #4303 test_sparse (theano.typed_list.tests.test_basic.test_count) ... ok #4304 test_inplace (theano.typed_list.tests.test_basic.test_extend) ... ok #4305 test_interface (theano.typed_list.tests.test_basic.test_extend) ... ok #4306 test_sanity_check (theano.typed_list.tests.test_basic.test_extend) ... ok #4307 test_constant_input (theano.typed_list.tests.test_basic.test_get_item) ... ok #4308 test_interface (theano.typed_list.tests.test_basic.test_get_item) ... ok #4309 test_sanity_check_single (theano.typed_list.tests.test_basic.test_get_item) ... ok #4310 test_sanity_check_slice (theano.typed_list.tests.test_basic.test_get_item) ... ok #4311 test_wrong_input (theano.typed_list.tests.test_basic.test_get_item) ... ok #4312 test_interface (theano.typed_list.tests.test_basic.test_index) ... ok #4313 test_non_tensor_type (theano.typed_list.tests.test_basic.test_index) ... ok #4314 test_sanity_check (theano.typed_list.tests.test_basic.test_index) ... ok #4315 test_sparse (theano.typed_list.tests.test_basic.test_index) ... ok #4316 test_inplace (theano.typed_list.tests.test_basic.test_insert) ... ok #4317 test_interface (theano.typed_list.tests.test_basic.test_insert) ... ok #4318 test_sanity_check (theano.typed_list.tests.test_basic.test_insert) ... ok #4319 test_interface (theano.typed_list.tests.test_basic.test_length) ... ok #4320 test_sanity_check (theano.typed_list.tests.test_basic.test_length) ... ok #4321 test_inplace (theano.typed_list.tests.test_basic.test_remove) ... ok #4322 test_interface (theano.typed_list.tests.test_basic.test_remove) ... ok #4323 test_sanity_check (theano.typed_list.tests.test_basic.test_remove) ... ok #4324 test_inplace (theano.typed_list.tests.test_basic.test_reverse) ... ok #4325 test_interface (theano.typed_list.tests.test_basic.test_reverse) ... ok #4326 test_sanity_check (theano.typed_list.tests.test_basic.test_reverse) ... ok #4327 test_append_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4328 test_extend_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4329 test_insert_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4330 test_remove_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4331 test_reverse_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4332 theano.typed_list.tests.test_opt.test_constant_folding ... ok #4333 test_basic_nested_list (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4334 test_comparison_different_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4335 test_comparison_uneven_nested (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4336 test_filter_sanity_check (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4337 test_get_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4338 test_intern_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4339 test_nested_list_arg (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4340 test_not_a_list_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4341 test_type_equality (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4342 test_variable_is_Typed_List_variable (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4343 test_wrong_input_on_creation (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4344 test_wrong_input_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4345 test_scipy_paper_example1 (theano.tests.diverse_tests.T_scipy) ... ok #4346 This just sees if things compile well and if they run ... ok #4347 theano.tests.test_2nd_order_grads.test001_jacobian_vector ... ok #4348 theano.tests.test_2nd_order_grads.test002_jacobian_matrix ... ok #4349 theano.tests.test_2nd_order_grads.test003_jacobian_scalar ... ok #4350 theano.tests.test_2nd_order_grads.test004_hessian ... ok #4351 theano.tests.test_2nd_order_grads.test_jacobian_disconnected_inputs ... ok #4352 test_connection_pattern (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4353 test_fprop (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4354 test_grad (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4355 test_infer_shape (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4356 test_invalid_default (theano.tests.test_config.T_config) ... ok #4357 theano.tests.test_determinism.test_determinism_1 ... ok #4358 test_composing_function (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4359 test_debug_mode_dict (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4360 test_debug_mode_list (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4361 test_input_named_variables (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4362 test_key_string_requirement (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4363 test_output_dictionary (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4364 test_output_list_still_works (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4365 test_output_order_sorted (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4366 theano.tests.test_flake8.test_format_flake8 ... SKIP: flake8 is not installed #4367 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 #4368 test_op_removed (theano.tests.test_gradient.TestConsiderConstant) ... ok #4369 test_connection_pattern (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4370 test_disconnected_paths (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4371 test_grad (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4372 test_op_removed (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4373 test_grad (theano.tests.test_gradient.TestZeroGrad) ... ok #4374 test_op_removed (theano.tests.test_gradient.TestZeroGrad) ... ok #4375 test_rop (theano.tests.test_gradient.TestZeroGrad) ... ok #4376 test_disconnected_nan (theano.tests.test_gradient.test_grad) ... ok #4377 test_downcast_dtype (theano.tests.test_gradient.test_grad) ... ok #4378 test_grad_constant (theano.tests.test_gradient.test_grad) ... ok #4379 test_grad_cubic (theano.tests.test_gradient.test_grad) ... ok #4380 test_grad_disconnected (theano.tests.test_gradient.test_grad) ... ok #4381 test_grad_duplicate_input (theano.tests.test_gradient.test_grad) ... ok #4382 test_grad_grad_cubic (theano.tests.test_gradient.test_grad) ... ok #4383 test_grad_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok #4384 test_grad_int (theano.tests.test_gradient.test_grad) ... ok #4385 test_grad_name (theano.tests.test_gradient.test_grad) ... ok #4386 test_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok #4387 test_grad_quadratic_vector (theano.tests.test_gradient.test_grad) ... ok #4388 test_undefined_grad_func (theano.tests.test_gradient.test_grad) ... ok #4389 test_undefined_grad_grad (theano.tests.test_gradient.test_grad) ... ok #4390 test_unimplemented_grad_func (theano.tests.test_gradient.test_grad) ... ok #4391 test_unimplemented_grad_grad (theano.tests.test_gradient.test_grad) ... ok #4392 test_1in_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4393 test_1in_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4394 test_Nin_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4395 test_Nin_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4396 test_retNone1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4397 test_wrong_rval_len1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4398 theano.tests.test_gradient.test_undefined_grad_opt ... ok #4399 theano.tests.test_gradient.test_known_grads ... ok #4400 theano.tests.test_gradient.test_dxdx ... ok ---------------------------------------------------------------------- Ran 100 tests in 109.908s OK (SKIP=1) 98% done in 114.158s (failed: 0) #4401 theano.tests.test_gradient.test_known_grads_integers ... ok #4402 theano.tests.test_gradient.test_undefined_cost_grad ... ok #4403 theano.tests.test_gradient.test_disconnected_cost_grad ... ok #4404 theano.tests.test_gradient.test_subgraph_grad ... ok #4405 theano.tests.test_gradient.test_grad_clip ... ok #4406 theano.tests.test_gradient.test_grad_scale ... ok #4407 test_broadcast_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4408 test_dtype_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4409 test_grad_cast_input (theano.tests.test_ifelse.test_ifelse) ... ok #4410 test_grad_int_value (theano.tests.test_ifelse.test_ifelse) ... ok #4411 test_grad_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok #4412 test_grad_test_values (theano.tests.test_ifelse.test_ifelse) ... ok #4413 test_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok #4414 test_lazy_if_on_generics (theano.tests.test_ifelse.test_ifelse) ... ok #4415 test_merge (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4416 test_merge_ifs_true_false (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4417 test_mixed_dtype (theano.tests.test_ifelse.test_ifelse) ... ok #4418 test_multiple_out (theano.tests.test_ifelse.test_ifelse) ... ok #4419 test_multiple_out_crash (theano.tests.test_ifelse.test_ifelse) ... ok #4420 test_multiple_out_grad (theano.tests.test_ifelse.test_ifelse) ... ok #4421 test_ndim_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4422 test_not_lazy_if_inplace (theano.tests.test_ifelse.test_ifelse) ... ok #4423 test_pushout1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4424 test_pushout2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4425 test_pushout3 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4426 test_remove_useless_inputs1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4427 test_remove_useless_inputs2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4428 test_sparse_tensor_error (theano.tests.test_ifelse.test_ifelse) ... ok #4429 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_with_reoptimization ... ok #4430 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_without_reoptimization ... ok #4431 theano.tests.test_printing.test_pydotprint_cond_highlight ... ok #4432 theano.tests.test_printing.test_pydotprint_return_image ... ok #4433 theano.tests.test_printing.test_pydotprint_long_name ... ok #4434 theano.tests.test_printing.test_pydotprint_profile ... ok #4435 theano.tests.test_printing.test_min_informative_str ... ok #4436 theano.tests.test_printing.test_debugprint ... ok #4437 theano.tests.test_printing.test_scan_debugprint1 ... ok #4438 theano.tests.test_printing.test_scan_debugprint2 ... ok #4439 theano.tests.test_printing.test_scan_debugprint3 ... ok #4440 theano.tests.test_printing.test_scan_debugprint4 ... ok #4441 theano.tests.test_printing.test_scan_debugprint5 ... ok #4442 theano.tests.test_printing.test_printing_scan ... ok #4443 theano.tests.test_printing.test_subtensor ... ok #4444 theano.tests.test_record.test_record_good ... ok #4445 theano.tests.test_record.test_record_bad ... ok #4446 theano.tests.test_record.test_record_mode_good ... ok #4447 theano.tests.test_record.test_record_mode_bad ... ok #4448 test_Rop_dot_bug_18Oct2013_Jeremiah (theano.tests.test_rop.test_RopLop) ... ok #4449 test_alloc (theano.tests.test_rop.test_RopLop) ... ok #4450 test_argmax (theano.tests.test_rop.test_RopLop) ... ok #4451 test_conv (theano.tests.test_rop.test_RopLop) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #4452 test_dimshuffle (theano.tests.test_rop.test_RopLop) ... ok #4453 test_dot (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. #4454 test_downsample (theano.tests.test_rop.test_RopLop) ... ok #4455 test_elemwise0 (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. #4456 test_elemwise1 (theano.tests.test_rop.test_RopLop) ... ok #4457 test_flatten (theano.tests.test_rop.test_RopLop) ... ok #4458 test_incsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok #4459 test_incsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok #4460 test_invalid_input (theano.tests.test_rop.test_RopLop) ... ok #4461 test_join (theano.tests.test_rop.test_RopLop) ... ok #4462 test_max (theano.tests.test_rop.test_RopLop) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4463 test_multiple_outputs (theano.tests.test_rop.test_RopLop) ... ok #4464 test_print (theano.tests.test_rop.test_RopLop) ... ok #4465 test_rebroadcast (theano.tests.test_rop.test_RopLop) ... ok #4466 test_reshape (theano.tests.test_rop.test_RopLop) ... ok #4467 test_setsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok #4468 test_setsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok #4469 test_shape (theano.tests.test_rop.test_RopLop) ... ok #4470 test_softmax (theano.tests.test_rop.test_RopLop) ... /build/theano-1.0.3+dfsg/theano/tests/test_rop.py:388: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. self.check_rop_lop(tensor.nnet.softmax(self.x)[0], self.in_shape[0]) ok #4471 test_specifyshape (theano.tests.test_rop.test_RopLop) ... ok #4472 test_subtensor (theano.tests.test_rop.test_RopLop) ... ok #4473 test_sum (theano.tests.test_rop.test_RopLop) ... ok #4474 test_updates_add (theano.tests.test_updates.test_ifelse) ... ok #4475 test_updates_init (theano.tests.test_updates.test_ifelse) ... ok #4476 test_updates_setitem (theano.tests.test_updates.test_ifelse) ... ok ---------------------------------------------------------------------- Ran 76 tests in 295.684s OK (SKIP=9) 100% done in 300.080s (failed: 0) #################### # ALL TESTS PASSED # #################### I: pybuild base:217: PYTHONPATH=. python3.7 theano/tests/run_tests_in_batch.py #################### # COLLECTING TESTS # #################### ................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................. ---------------------------------------------------------------------- Ran 6433 tests in 17.271s OK ################################### # RUNNING TESTS IN BATCHES OF 100 # ################################### #1 test_compute_test_value (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #2 test_connection_pattern_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #3 test_connection_pattern_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #4 test_connection_pattern_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #5 test_connection_pattern_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #6 test_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #7 test_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #8 test_grad_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #9 test_grad_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #10 test_grad_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #11 test_grad_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #12 test_infer_shape (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #13 test_lop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #14 test_lop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #15 test_nested_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #16 test_nested_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #17 test_rop_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #18 test_rop_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #19 test_rop_override_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #20 test_rop_override_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #21 test_shared_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #22 test_shared_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #23 test_shared_grad_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #24 test_shared_grad_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #25 test_size_changes_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #26 test_size_changes_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #27 test_straightforward_0 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #28 test_straightforward_1 (theano.compile.tests.test_builders.T_OpFromGraph) ... ok #29 test_aliased_outputs_bad (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #30 test_aliased_outputs_ok (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #31 test_aliased_outputs_ok_output (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #32 test_aliased_outputs_ok_shadow (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #33 test_badviewmap_c (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #34 test_badviewmap_ref (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #35 test_badviewmap_slice (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #36 test_goodviewmap (theano.compile.tests.test_debugmode.Test_ViewMap) ... ok #37 test_check_isfinite (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok #38 test_check_isfinite_disabled (theano.compile.tests.test_debugmode.Test_check_isfinite) ... ok #39 test_f_contiguous (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok #40 test_f_contiguous_out (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok #41 test_output_broadcast_tensor (theano.compile.tests.test_debugmode.Test_preallocated_output) ... ok #42 theano.compile.tests.test_debugmode.test0 ... ok #43 theano.compile.tests.test_debugmode.test_badthunkoutput ... ok #44 theano.compile.tests.test_debugmode.test_badoptimization ... ok #45 theano.compile.tests.test_debugmode.test_badoptimization_opt_err ... ok #46 theano.compile.tests.test_debugmode.test_stochasticoptimization ... ok #47 theano.compile.tests.test_debugmode.test_just_c_code ... ok #48 theano.compile.tests.test_debugmode.test_baddestroymap ... ok #49 theano.compile.tests.test_debugmode.test_baddestroymap_c ... ok #50 test_explicit_shared_input (theano.compile.tests.test_function.TestFunctionIn) ... ok #51 test_in_allow_downcast_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok #52 test_in_allow_downcast_int (theano.compile.tests.test_function.TestFunctionIn) ... ok #53 test_in_allow_downcast_vector_floatX (theano.compile.tests.test_function.TestFunctionIn) ... ok #54 test_in_mutable (theano.compile.tests.test_function.TestFunctionIn) ... ok #55 test_in_shared_variable (theano.compile.tests.test_function.TestFunctionIn) ... ok #56 test_in_strict (theano.compile.tests.test_function.TestFunctionIn) ... ok #57 test_in_update (theano.compile.tests.test_function.TestFunctionIn) ... ok #58 test_in_update_shared (theano.compile.tests.test_function.TestFunctionIn) ... ok #59 test_in_update_wrong_dtype (theano.compile.tests.test_function.TestFunctionIn) ... ok #60 theano.compile.tests.test_function.test_function_dump ... ok #61 test_borrow_input (theano.compile.tests.test_function_module.T_function) ... ok #62 test_borrow_output (theano.compile.tests.test_function_module.T_function) ... ok #63 test_check_for_aliased_inputs (theano.compile.tests.test_function_module.T_function) ... ok #64 test_constant_output (theano.compile.tests.test_function_module.T_function) ... ok #65 test_copy (theano.compile.tests.test_function_module.T_function) ... ok #66 test_copy_delete_updates (theano.compile.tests.test_function_module.T_function) ... ok #67 test_copy_share_memory (theano.compile.tests.test_function_module.T_function) ... ok #68 test_default_values (theano.compile.tests.test_function_module.T_function) ... ok #69 test_disconnected_input (theano.compile.tests.test_function_module.T_function) ... ok #70 test_empty (theano.compile.tests.test_function_module.T_function) ... ok #71 test_extra_inputs (theano.compile.tests.test_function_module.T_function) ... ok #72 test_free (theano.compile.tests.test_function_module.T_function) ... ok #73 test_givens_input_var (theano.compile.tests.test_function_module.T_function) ... ok #74 test_input_anon_singleton (theano.compile.tests.test_function_module.T_function) ... ok #75 test_input_anon_unpack (theano.compile.tests.test_function_module.T_function) ... ok #76 test_masked_input (theano.compile.tests.test_function_module.T_function) ... ok #77 test_missing_inputs (theano.compile.tests.test_function_module.T_function) ... ok #78 test_naming_rule0 (theano.compile.tests.test_function_module.T_function) ... ok #79 test_naming_rule1 (theano.compile.tests.test_function_module.T_function) ... ok #80 test_naming_rule2 (theano.compile.tests.test_function_module.T_function) ... ok #81 test_naming_rule3 (theano.compile.tests.test_function_module.T_function) ... ok #82 test_naming_rule4 (theano.compile.tests.test_function_module.T_function) ... ok #83 test_none (theano.compile.tests.test_function_module.T_function) ... SKIP: See #254: Using None as function output leads to [] return value #84 test_same_names (theano.compile.tests.test_function_module.T_function) ... ok #85 test_shared_state0 (theano.compile.tests.test_function_module.T_function) ... ok #86 test_shared_state1 (theano.compile.tests.test_function_module.T_function) ... ok #87 test_shared_state2 (theano.compile.tests.test_function_module.T_function) ... ok #88 test_shared_state_not_implicit (theano.compile.tests.test_function_module.T_function) ... ok #89 test_state_access (theano.compile.tests.test_function_module.T_function) ... ok #90 test_swap_SharedVariable (theano.compile.tests.test_function_module.T_function) ... ok #91 test_swap_SharedVariable_with_given (theano.compile.tests.test_function_module.T_function) ... ok #92 test_weird_names (theano.compile.tests.test_function_module.T_function) ... ok #93 test_broken_pickle_with_shared (theano.compile.tests.test_function_module.T_picklefunction) ... ok #94 test_deepcopy (theano.compile.tests.test_function_module.T_picklefunction) ... ok #95 test_deepcopy_shared_container (theano.compile.tests.test_function_module.T_picklefunction) ... ok #96 test_deepcopy_trust_input (theano.compile.tests.test_function_module.T_picklefunction) ... ok #97 test_multiple_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok #98 test_optimizations_preserved (theano.compile.tests.test_function_module.T_picklefunction) ... ok #99 test_output_keys (theano.compile.tests.test_function_module.T_picklefunction) ... ok #100 test_pickle (theano.compile.tests.test_function_module.T_picklefunction) ... ok ---------------------------------------------------------------------- Ran 100 tests in 214.133s OK (SKIP=1) 2% done in 217.681s (failed: 0) #101 test_pickle_class_with_functions (theano.compile.tests.test_function_module.T_picklefunction) ... ok #102 theano.compile.tests.test_function_module.test_empty_givens_updates ... ok #103 theano.compile.tests.test_function_module.test_sync_update ... SKIP: pygpu not installed #104 test_function_name (theano.compile.tests.test_function_name.FunctionName) ... ok #105 test_nnet (theano.compile.tests.test_misc.TestNnet) ... ok #106 theano.compile.tests.test_mode.test_no_output_from_implace ... ok #107 theano.compile.tests.test_mode.test_including ... ok #108 test1 (theano.compile.tests.test_modes.T_bunch_of_modes) ... ok #109 test_1 (theano.compile.tests.test_modes.T_old_problem) ... ok #110 theano.compile.tests.test_monitormode.test_detect_nan ... ok #111 theano.compile.tests.test_monitormode.test_optimizer ... ok #112 theano.compile.tests.test_monitormode.test_not_inplace ... ok #113 theano.compile.tests.test_nanguardmode.test_NanGuardMode ... /build/theano-1.0.3+dfsg/theano/compile/nanguardmode.py:150: RuntimeWarning: All-NaN slice encountered return np.isinf(np.nanmax(arr)) or np.isinf(np.nanmin(arr)) /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #114 test_1arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #115 test_2arg (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #116 test_infer_shape (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #117 test_pickle (theano.compile.tests.test_ops.OpDecoratorTests) ... ok #118 theano.compile.tests.test_ops.test_shape_i_hash ... ok #119 test_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #120 test_no_aliasing_0 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #121 test_no_aliasing_1 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #122 test_no_aliasing_2 (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #123 test_no_aliasing_2b (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #124 test_partial_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #125 test_potential_output_aliasing_induced_by_updates (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #126 test_shared_constructor_copies (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #127 test_sparse_input_aliasing_affecting_inplace_operations (theano.compile.tests.test_pfunc.Test_aliasing_rules) ... ok #128 test_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #129 test_allow_input_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #130 test_clone0 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #131 test_default_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #132 test_default_scalar_container (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #133 test_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #134 test_default_updates_chained (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #135 test_default_updates_expressions (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #136 test_default_updates_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #137 test_default_updates_multiple (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #138 test_default_updates_partial_graph (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #139 test_doc (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #140 test_duplicate_inputs (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #141 test_duplicate_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #142 test_givens (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #143 test_givens_replaces_shared_variable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #144 test_givens_replaces_shared_variable2 (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #145 test_no_default_updates (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #146 test_no_shared_as_input (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #147 test_param_allow_downcast_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #148 test_param_allow_downcast_int (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #149 test_param_allow_downcast_vector_floatX (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #150 test_param_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #151 test_param_strict (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #152 test_shared (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #153 test_shared_mutable (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #154 test_update (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #155 test_update_equiv (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #156 test_update_err_broadcast (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #157 test_update_same (theano.compile.tests.test_pfunc.Test_pfunc) ... ok #158 test1 (theano.compile.tests.test_pfunc.Test_rebuild_strict) ... ok #159 test_ifelse (theano.compile.tests.test_profiling.Test_profiling) ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:887: UserWarning: CVM does not support memory profile, using Stack VM. 'CVM does not support memory profile, using Stack VM.') ok #160 test_profiling (theano.compile.tests.test_profiling.Test_profiling) ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:887: UserWarning: CVM does not support memory profile, using Stack VM. 'CVM does not support memory profile, using Stack VM.') ok #161 test_create_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #162 test_ctors (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #163 test_err_symbolic_variable (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #164 test_scalar_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #165 test_scalar_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #166 test_strict_generic (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #167 test_tensor_floatX (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #168 test_tensor_strict (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #169 test_use_numpy_strict_false (theano.compile.tests.test_shared.Test_SharedVariable) ... ok #170 test_mlp (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #171 test_mlp_profiled (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #172 test_ofg (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #173 test_ofg_nested (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #174 test_ofg_simple (theano.d3viz.tests.test_d3viz.TestD3Viz) ... ok #175 test_mlp (theano.d3viz.tests.test_formatting.TestPyDotFormatter) ... ok #176 test_ofg (theano.d3viz.tests.test_formatting.TestPyDotFormatter) ... ok #177 test_ofg_nested (theano.d3viz.tests.test_formatting.TestPyDotFormatter) ... ok #178 theano.gof.tests.test_cc.test_clinker_straightforward ... ok #179 theano.gof.tests.test_cc.test_clinker_literal_inlining ... ok #180 theano.gof.tests.test_cc.test_clinker_literal_cache ... ok #181 theano.gof.tests.test_cc.test_clinker_single_node ... ok #182 theano.gof.tests.test_cc.test_clinker_dups ... ok #183 theano.gof.tests.test_cc.test_clinker_not_used_inputs ... ok #184 theano.gof.tests.test_cc.test_clinker_dups_inner ... ok #185 theano.gof.tests.test_cc.test_opwiseclinker_straightforward ... ok #186 theano.gof.tests.test_cc.test_opwiseclinker_constant ... ok #187 theano.gof.tests.test_cc.test_duallinker_straightforward ... ok #188 theano.gof.tests.test_cc.test_duallinker_mismatch ... ok #189 theano.gof.tests.test_cc.test_c_fail_error ... ok #190 theano.gof.tests.test_cc.test_shared_input_output ... ok #191 theano.gof.tests.test_cmodule.test_inter_process_cache ... ok #192 theano.gof.tests.test_cmodule.test_flag_detection ... ok #193 theano.gof.tests.test_compiledir.test_short_platform ... ok #194 test_compute_flag (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #195 test_constant (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #196 test_disabled_during_compilation (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #197 test_empty_elemwise (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #198 test_incorrect_type (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #199 test_ndarray (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #200 test_no_c_code (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok ---------------------------------------------------------------------- Ran 100 tests in 174.605s OK (SKIP=1) 0.058164613716645386 0.058164613716645386 0.058164613716645386 0.058164613716645386 4% done in 178.237s (failed: 0) #201 test_no_perform (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #202 test_overided_function (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #203 test_scan (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #204 test_scan_err1 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #205 test_scan_err2 (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #206 test_shared (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #207 test_string_var (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #208 test_variable_only (theano.gof.tests.test_compute_test_value.TestComputeTestValue) ... ok #209 theano.gof.tests.test_destroyhandler.test_value_repl_2 ... ok #210 theano.gof.tests.test_destroyhandler.test_misc ... ok #211 theano.gof.tests.test_destroyhandler.test_aliased_inputs_replacement ... ok #212 theano.gof.tests.test_destroyhandler.test_indestructible ... ok #213 theano.gof.tests.test_destroyhandler.test_usage_loop_through_views_2 ... ok #214 theano.gof.tests.test_destroyhandler.test_destroyers_loop ... ok #215 theano.gof.tests.test_destroyhandler.test_aliased_inputs ... ok #216 theano.gof.tests.test_destroyhandler.test_aliased_inputs2 ... ok #217 theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate ... ok #218 theano.gof.tests.test_destroyhandler.test_aliased_inputs_tolerate2 ... ok #219 theano.gof.tests.test_destroyhandler.test_same_aliased_inputs_ignored ... ok #220 theano.gof.tests.test_destroyhandler.test_different_aliased_inputs_ignored ... ok #221 theano.gof.tests.test_destroyhandler.test_indestructible_through_views ... ok #222 theano.gof.tests.test_destroyhandler.test_indirect ... ok #223 theano.gof.tests.test_destroyhandler.test_indirect_2 ... ok #224 theano.gof.tests.test_destroyhandler.test_long_destroyers_loop ... ok #225 theano.gof.tests.test_destroyhandler.test_misc_2 ... ok #226 theano.gof.tests.test_destroyhandler.test_multi_destroyers ... ok #227 theano.gof.tests.test_destroyhandler.test_multi_destroyers_through_views ... ok #228 theano.gof.tests.test_destroyhandler.test_repair_destroy_path ... ok #229 theano.gof.tests.test_destroyhandler.test_usage_loop ... ok #230 theano.gof.tests.test_destroyhandler.test_usage_loop_through_views ... ok #231 theano.gof.tests.test_destroyhandler.test_usage_loop_insert_views ... ok #232 theano.gof.tests.test_destroyhandler.test_value_repl ... ok #233 theano.gof.tests.test_destroyhandler.test_multiple_inplace ... ok #234 test_clone (theano.gof.tests.test_fg.TFunctionGraph) ... ok #235 test_constant_cache_error (theano.gof.tests.test_fg.TFunctionGraph) ... ok #236 test_node_outputs_not_used (theano.gof.tests.test_fg.TFunctionGraph) ... ok #237 test_pickle (theano.gof.tests.test_fg.TFunctionGraph) ... ok #238 theano.gof.tests.test_graph.TestAutoName.test_auto_name ... ok #239 theano.gof.tests.test_graph.TestAutoName.test_clone ... ok #240 theano.gof.tests.test_graph.TestAutoName.test_constant ... ok #241 theano.gof.tests.test_graph.TestAutoName.test_randomvariable ... ok #242 theano.gof.tests.test_graph.TestAutoName.test_sparsevariable ... ok #243 theano.gof.tests.test_graph.TestAutoName.test_tensorvariable ... ok #244 theano.gof.tests.test_graph.TestClone.test_accurate ... ok #245 theano.gof.tests.test_graph.TestClone.test_constant ... ok #246 theano.gof.tests.test_graph.TestClone.test_copy ... ok #247 theano.gof.tests.test_graph.TestClone.test_not_destructive ... ok #248 test_eval (theano.gof.tests.test_graph.TestEval) ... ok #249 theano.gof.tests.test_graph.TestInputs.test_inputs ... ok #250 theano.gof.tests.test_graph.TestInputs.test_inputs_deep ... ok #251 test_full_graph (theano.gof.tests.test_graph.TestIsSameGraph) ... ok #252 test_merge_only (theano.gof.tests.test_graph.TestIsSameGraph) ... ok #253 test_single_var (theano.gof.tests.test_graph.TestIsSameGraph) ... ok #254 theano.gof.tests.test_graph.TestStr.test_as_string ... ok #255 theano.gof.tests.test_graph.TestStr.test_as_string_deep ... ok #256 theano.gof.tests.test_graph.TestStr.test_cutoff ... ok #257 theano.gof.tests.test_graph.TestStr.test_multiple_references ... ok #258 theano.gof.tests.test_graph.TestToposort.test_0 ... ok #259 theano.gof.tests.test_graph.TestToposort.test_1 ... ok #260 theano.gof.tests.test_graph.TestToposort.test_2 ... ok #261 theano.gof.tests.test_graph.TestToposort.test_3 ... ok #262 theano.gof.tests.test_graph.TestToposort.test_4 ... ok #263 theano.gof.tests.test_graph.TestToposort.test_5 ... ok #264 theano.gof.tests.test_graph_opt_caching.test_graph_opt_caching ... ok #265 theano.gof.tests.test_lazy.test_ifelse ... ok #266 theano.gof.tests.test_lazy.more_complex_test ... ok #267 test_constant (theano.gof.tests.test_link.TestPerformLinker) ... ok #268 test_function (theano.gof.tests.test_link.TestPerformLinker) ... ok #269 test_input_dependency0 (theano.gof.tests.test_link.TestPerformLinker) ... ok #270 test_input_output_same (theano.gof.tests.test_link.TestPerformLinker) ... ok #271 test_skiphole (theano.gof.tests.test_link.TestPerformLinker) ... ok #272 test_thunk (theano.gof.tests.test_link.TestPerformLinker) ... ok #273 test_0 (theano.gof.tests.test_link.TestWrapLinker) ... ok #274 test_1 (theano.gof.tests.test_link.TestWrapLinker) ... ok #275 theano.gof.tests.test_link.test_sort_schedule_fn ... ok #276 theano.gof.tests.test_link.test_container_deepcopy ... ok #277 test_no_c_code (theano.gof.tests.test_op.TestMakeThunk) ... ok #278 test_no_make_node (theano.gof.tests.test_op.TestMakeThunk) ... ok #279 test_no_perform (theano.gof.tests.test_op.TestMakeThunk) ... ok #280 theano.gof.tests.test_op.TestOp.test_op_no_input ... ok #281 theano.gof.tests.test_op.TestOp.test_op_struct ... ok #282 theano.gof.tests.test_op.TestOp.test_sanity_0 ... ok #283 theano.gof.tests.test_op.TestOp.test_validate ... ok #284 theano.gof.tests.test_op.test_test_value_python_objects ... ok #285 theano.gof.tests.test_op.test_test_value_ndarray ... ok #286 theano.gof.tests.test_op.test_test_value_constant ... ok #287 theano.gof.tests.test_op.test_test_value_shared ... ok #288 theano.gof.tests.test_op.test_test_value_op ... ok #289 get_debug_values should return [] when debugger is off ... ok #290 theano.gof.tests.test_op.test_get_det_debug_values_ignore ... ok #291 theano.gof.tests.test_op.test_get_debug_values_success ... ok #292 theano.gof.tests.test_op.test_get_debug_values_exc ... ok #293 theano.gof.tests.test_op.test_debug_error_message ... ok #294 theano.gof.tests.test_opt.TestEquilibrium.test_1 ... ok #295 theano.gof.tests.test_opt.TestEquilibrium.test_2 ... ok #296 theano.gof.tests.test_opt.TestEquilibrium.test_low_use_ratio ... ok #297 theano.gof.tests.test_opt.TestMergeOptimizer.test_both_assert_merge_identical ... ok #298 theano.gof.tests.test_opt.TestMergeOptimizer.test_constant_merging ... ok #299 theano.gof.tests.test_opt.TestMergeOptimizer.test_deep_merge ... ok #300 theano.gof.tests.test_opt.TestMergeOptimizer.test_identical_constant_args ... ok ---------------------------------------------------------------------- Ran 100 tests in 244.240s OK 6% done in 247.789s (failed: 0) #301 theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_noinput ... ok #302 theano.gof.tests.test_opt.TestMergeOptimizer.test_merge_outputs ... ok #303 theano.gof.tests.test_opt.TestMergeOptimizer.test_multiple_merges ... ok #304 theano.gof.tests.test_opt.TestMergeOptimizer.test_no_merge ... ok #305 theano.gof.tests.test_opt.TestMergeOptimizer.test_straightforward ... ok #306 theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward ... ok #307 theano.gof.tests.test_opt.TestOpSubOptimizer.test_straightforward_2 ... ok #308 theano.gof.tests.test_opt.TestPatternOptimizer.test_ambiguous ... ok #309 theano.gof.tests.test_opt.TestPatternOptimizer.test_constant_unification ... ok #310 theano.gof.tests.test_opt.TestPatternOptimizer.test_constraints ... ok #311 theano.gof.tests.test_opt.TestPatternOptimizer.test_eq ... ok #312 theano.gof.tests.test_opt.TestPatternOptimizer.test_expand ... ok #313 theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same ... ok #314 theano.gof.tests.test_opt.TestPatternOptimizer.test_match_same_illegal ... ok #315 theano.gof.tests.test_opt.TestPatternOptimizer.test_multi ... ok #316 theano.gof.tests.test_opt.TestPatternOptimizer.test_multiple ... ok #317 theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_even ... ok #318 theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_odd ... ok #319 theano.gof.tests.test_opt.TestPatternOptimizer.test_nested_out_pattern ... ok #320 theano.gof.tests.test_opt.TestPatternOptimizer.test_no_recurse ... ok #321 theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_output ... ok #322 theano.gof.tests.test_opt.TestPatternOptimizer.test_replace_subgraph ... ok #323 theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_1 ... ok #324 theano.gof.tests.test_opt.TestPatternOptimizer.test_unification_2 ... ok #325 theano.gof.tests.test_opt.test_pre_constant_merge_slice ... ok #326 test_0 (theano.gof.tests.test_optdb.Test_DB) ... ok #327 test_hash_and_eq_params (theano.gof.tests.test_params_type.TestParamsType) ... ok #328 test_hash_and_eq_params_type (theano.gof.tests.test_params_type.TestParamsType) ... ok #329 test_op_params (theano.gof.tests.test_params_type.TestParamsType) ... ok #330 test_params_type_filtering (theano.gof.tests.test_params_type.TestParamsType) ... ok #331 test_params_type_with_enums (theano.gof.tests.test_params_type.TestParamsType) ... ok #332 theano.gof.tests.test_sched.test_dependence ... ok #333 theano.gof.tests.test_sched.test_sort_apply_nodes ... ok #334 theano.gof.tests.test_sched.test_reverse_dict ... ok #335 theano.gof.tests.test_sched.test__toposort ... ok #336 theano.gof.tests.test_sched.test_posort_easy ... ok #337 theano.gof.tests.test_sched.test_posort ... ok #338 theano.gof.tests.test_toolbox.TestNodeFinder.test_straightforward ... ok #339 test_enum_class (theano.gof.tests.test_types.TestEnumTypes) ... ok #340 test_op_with_cenumtype (theano.gof.tests.test_types.TestEnumTypes) ... ok #341 test_op_with_cenumtype_debug (theano.gof.tests.test_types.TestEnumTypes) ... ok #342 test_op_with_enumlist (theano.gof.tests.test_types.TestEnumTypes) ... ok #343 theano.gof.tests.test_types.test_cdata ... ok #344 theano.gof.tests.test_utils.test_give_variables_names ... ok #345 theano.gof.tests.test_utils.test_give_variables_names_idempotence ... ok #346 theano.gof.tests.test_utils.test_give_variables_names_small ... ok #347 theano.gof.tests.test_utils.test_remove ... ok #348 theano.gof.tests.test_utils.test_stack_trace ... ok #349 test_callback (theano.gof.tests.test_vm.TestCallbacks) ... ok #350 test_callback_with_ifelse (theano.gof.tests.test_vm.TestCallbacks) ... ok #351 theano.gof.tests.test_vm.test_c_thunks ... ok #352 theano.gof.tests.test_vm.test_speed ... ok #353 theano.gof.tests.test_vm.test_speed_lazy ... ok #354 theano.gof.tests.test_vm.test_partial_function ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok #355 theano.gof.tests.test_vm.test_partial_function_with_output_keys ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok #356 theano.gof.tests.test_vm.test_partial_function_with_updates ... /build/theano-1.0.3+dfsg/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' /build/theano-1.0.3+dfsg/theano/gof/vm.py:890: UserWarning: LoopGC does not support partial evaluation, using Stack VM. 'LoopGC does not support partial evaluation, ' ok #357 theano.gof.tests.test_vm.test_allow_gc_cvm ... ok #358 theano.gof.tests.test_vm.test_vm_gc ... ok #359 theano.gof.tests.test_vm.test_reallocation ... ok #360 theano.gof.tests.test_vm.test_no_recycling ... ok #365 theano.gpuarray.tests.test_cgpukernelbase.test_cgpukernelbase ... SKIP: pygpu not installed #380 theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag1 ... ok #381 theano.gpuarray.tests.test_pickle.test_unpickle_gpuarray_as_numpy_ndarray_flag2 ... /build/theano-1.0.3+dfsg/theano/gpuarray/type.py:895: 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 #389 theano.misc.tests.test_may_share_memory.test_may_share_memory ... ok #390 theano.misc.tests.test_may_share_memory.test_may_share_memory_scipy ... ok #391 test_dump_load_mrg (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok #392 test_dump_zip_names (theano.misc.tests.test_pkl_utils.T_dump_load) ... ok #393 test0 (theano.misc.tests.test_pkl_utils.TestStripPickler) ... ok #395 theano.sandbox.linalg.tests.test_linalg.test_rop_lop ... ok #396 theano.sandbox.linalg.tests.test_linalg.test_spectral_radius_bound ... ok #397 theano.sandbox.linalg.tests.test_linalg.test_transinv_to_invtrans ... ok #398 theano.sandbox.linalg.tests.test_linalg.test_tag_solve_triangular ... ok #399 theano.sandbox.linalg.tests.test_linalg.test_matrix_inverse_solve ... ok #400 theano.sandbox.tests.test_multinomial.test_n_samples_1 ... ok #361 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #362 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #363 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #364 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #366 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #367 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #368 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #369 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #370 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #371 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #372 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #373 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #374 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #375 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #376 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #377 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #378 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #379 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #382 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #383 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #384 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #385 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #386 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #387 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #388 Failure: SkipTest (pygpu not installed) ... SKIP: pygpu not installed #394 Failure: SkipTest (You are importing theano.sandbox.cuda. This is the old GPU back-end and is removed from Theano. Use Theano 0.9 to use it. Even better, transition to the new GPU back-end! See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29) ... SKIP: You are importing theano.sandbox.cuda. This is the old GPU back-end and is removed from Theano. Use Theano 0.9 to use it. Even better, transition to the new GPU back-end! See https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpuarray%29 ---------------------------------------------------------------------- Ran 100 tests in 88.882s OK (SKIP=27) 8% done in 94.489s (failed: 0) #401 theano.sandbox.tests.test_multinomial.test_n_samples_2 ... ok #402 theano.sandbox.tests.test_multinomial.test_n_samples_compatibility ... ok #403 theano.sandbox.tests.test_multinomial.test_multinomial_0 ... ok #404 theano.sandbox.tests.test_multinomial.test_multinomial_large ... ok #405 theano.sandbox.tests.test_multinomial.test_multinomial_dtypes ... ok #406 test_fail_select_alot (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok #407 test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok #408 test_select_proportional_to_weight (theano.sandbox.tests.test_multinomial_wo_replacement.test_OP) ... ok #409 test_fail_select_alot (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:1031: 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 #410 test_select_distinct (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:1031: 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 #411 test_select_proportional_to_weight (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok #412 test_unpickle_legacy_op (theano.sandbox.tests.test_multinomial_wo_replacement.test_function) ... ok #413 test_bad_size (theano.sandbox.tests.test_rng_mrg.T_MRG) ... ok #414 theano.sandbox.tests.test_rng_mrg.test_deterministic ... ok #415 theano.sandbox.tests.test_rng_mrg.test_consistency_randomstreams ... ok #416 theano.sandbox.tests.test_rng_mrg.test_get_substream_rstates ... ok #417 theano.sandbox.tests.test_rng_mrg.test_consistency_cpu_serial ... ok #418 theano.sandbox.tests.test_rng_mrg.test_consistency_cpu_parallel ... ok #419 theano.sandbox.tests.test_rng_mrg.test_uniform ... ok #420 theano.sandbox.tests.test_rng_mrg.test_broadcastable ... /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:1031: 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 #421 theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (500, 50), (500, 50), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, Shape.0, (500, 50), [], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.1, (), (), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (500, 50), (500, 50), [], [], 1000, 0.01) ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, Shape.0, (500, 50), [], [array([[0., 0., 0., ..., 0., 0., 0.], ... ok theano.sandbox.tests.test_rng_mrg.test_binomial(0.5, (), (), [], [], 1000, 0.01) ... ok #422 theano.sandbox.tests.test_rng_mrg.test_normal0 ... ok #423 theano.sandbox.tests.test_rng_mrg.test_normal_truncation ... ok #424 theano.sandbox.tests.test_rng_mrg.test_truncated_normal ... ok #425 theano.sandbox.tests.test_rng_mrg.test_multinomial ... ok #426 theano.sandbox.tests.test_rng_mrg.test_multinomial_n_samples ... ok #427 theano.sandbox.tests.test_rng_mrg.test_multiple_rng_aliasing ... ok #428 theano.sandbox.tests.test_rng_mrg.test_random_state_transfer ... ok #429 theano.sandbox.tests.test_rng_mrg.test_gradient_scan ... ok #430 theano.sandbox.tests.test_rng_mrg.test_multMatVect ... ok #431 theano.sandbox.tests.test_rng_mrg.test_seed_fn ... ok #432 theano.sandbox.tests.test_rng_mrg.test_overflow_cpu ... ok #433 theano.sandbox.tests.test_rng_mrg.test_undefined_grad ... ok #434 theano.sandbox.tests.test_rng_mrg.test_f16_nonzero ... ok #435 theano.sandbox.tests.test_rng_mrg.test_target_parameter ... /build/theano-1.0.3+dfsg/theano/sandbox/rng_mrg.py:1031: 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 #436 test_straightforward (theano.scalar.tests.test_basic.test_ScalarOps) ... ok #437 test_fail (theano.scalar.tests.test_basic.test_complex_mod) ... ok #438 test_composite_clone_float32 (theano.scalar.tests.test_basic.test_composite) ... ok #439 test_composite_printing (theano.scalar.tests.test_basic.test_composite) ... ok #440 test_flatten (theano.scalar.tests.test_basic.test_composite) ... ok #441 test_make_node_continue_graph (theano.scalar.tests.test_basic.test_composite) ... ok #442 test_many_outputs (theano.scalar.tests.test_basic.test_composite) ... ok #443 test_straightforward (theano.scalar.tests.test_basic.test_composite) ... ok #444 test_with_constants (theano.scalar.tests.test_basic.test_composite) ... ok #445 test_0 (theano.scalar.tests.test_basic.test_div) ... ok #446 test_and (theano.scalar.tests.test_basic.test_logical) ... ok #447 test_eq (theano.scalar.tests.test_basic.test_logical) ... ok #448 test_ge (theano.scalar.tests.test_basic.test_logical) ... ok #449 test_gt (theano.scalar.tests.test_basic.test_logical) ... ok #450 test_le (theano.scalar.tests.test_basic.test_logical) ... ok #451 test_lt (theano.scalar.tests.test_basic.test_logical) ... ok #452 test_neq (theano.scalar.tests.test_basic.test_logical) ... ok #453 test_not (theano.scalar.tests.test_basic.test_logical) ... ok #454 test_or (theano.scalar.tests.test_basic.test_logical) ... ok #455 test_xor (theano.scalar.tests.test_basic.test_logical) ... ok #456 test_arctan2 ... ok #457 theano.scalar.tests.test_basic.test_upgrade_to_float.test_true_div ... ok #458 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 #459 theano.scalar.tests.test_basic.test_grad_gt ... ok #460 theano.scalar.tests.test_basic.test_grad_switch ... ok #461 theano.scalar.tests.test_basic.test_grad_identity ... ok #462 theano.scalar.tests.test_basic.test_grad_inrange ... ok #463 theano.scalar.tests.test_basic.test_grad_abs ... ok #464 theano.scalar.tests.test_basic.test_constant ... ok #466 test_divide_floats (theano.scalar.tests.test_div_future.test_FutureDiv) ... ok #467 test_divide_floats (theano.scalar.tests.test_div_no_future.test_FutureDiv) ... ok #468 test_alloc_inputs1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #469 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. #470 test_alloc_inputs3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #471 test_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok #472 test_borrow_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok #473 test_bugFunctioProvidesIntermediateNodesAsInputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #474 test_clone (theano.scan_module.tests.test_scan.T_Scan) ... ok #475 test_cloning_no_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #476 test_cloning_no_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #477 test_cloning_replace_not_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #478 test_cloning_replace_not_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #479 test_cloning_replace_strict_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #480 test_cloning_replace_strict_not_copy_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #481 test_computing_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok #482 test_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok #483 test_connection_pattern2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #484 test_crash_nonseq_grad (theano.scan_module.tests.test_scan.T_Scan) ... ok #485 test_disconnected_gradient (theano.scan_module.tests.test_scan.T_Scan) ... ok #486 test_disconnected_gradient2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #487 test_disconnected_gradient3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #488 test_dot_optimization (theano.scan_module.tests.test_scan.T_Scan) ... ok #489 test_draw_as_input_to_scan (theano.scan_module.tests.test_scan.T_Scan) ... ok #490 test_eliminate_nonseqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #491 test_eliminate_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #492 test_foldl_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok #493 test_foldr_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok #494 test_generator_one_output_scalar (theano.scan_module.tests.test_scan.T_Scan) ... ok #495 test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan) ... ok #496 test_grad_bug_disconnected_input (theano.scan_module.tests.test_scan.T_Scan) ... ok #497 test_grad_connectivity_matrix (theano.scan_module.tests.test_scan.T_Scan) ... ok #498 test_grad_dtype_change (theano.scan_module.tests.test_scan.T_Scan) ... ok #499 test_grad_duplicate_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #500 test_grad_duplicate_outputs_connection_pattern (theano.scan_module.tests.test_scan.T_Scan) ... ok #465 Failure: SkipTest (optional package sympy disabled) ... SKIP: optional package sympy disabled ---------------------------------------------------------------------- Ran 127 tests in 857.372s OK (SKIP=2) 11% done in 861.057s (failed: 0) #501 test_grad_find_input (theano.scan_module.tests.test_scan.T_Scan) ... ok #502 test_grad_grad_mitsot_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok #503 test_grad_multiple_outs (theano.scan_module.tests.test_scan.T_Scan) ... ok #504 test_grad_multiple_outs_some_disconnected (theano.scan_module.tests.test_scan.T_Scan) ... ok #505 test_grad_multiple_outs_some_disconnected_2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #506 test_grad_multiple_outs_some_truncate (theano.scan_module.tests.test_scan.T_Scan) ... ok #507 test_grad_multiple_outs_some_uncomputable (theano.scan_module.tests.test_scan.T_Scan) ... ok #508 test_grad_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... . . . ok #509 test_grad_multiple_outs_taps_backwards (theano.scan_module.tests.test_scan.T_Scan) ... ok #510 test_grad_multiple_seqs_different_nsteps (theano.scan_module.tests.test_scan.T_Scan) ... ok #511 test_grad_multiple_taps_state (theano.scan_module.tests.test_scan.T_Scan) ... ok #512 test_grad_numeric_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #513 test_grad_of_grad_of_state (theano.scan_module.tests.test_scan.T_Scan) ... ok #514 test_grad_of_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #515 test_grad_one_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #516 test_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... ok #517 test_hash (theano.scan_module.tests.test_scan.T_Scan) ... ok #518 test_hessian_bug_grad_grad_two_scans (theano.scan_module.tests.test_scan.T_Scan) ... . ok #519 test_infer_shape (theano.scan_module.tests.test_scan.T_Scan) ... ok #520 test_infer_shape2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #521 test_infershape_nsteps_smaller_seq_length (theano.scan_module.tests.test_scan.T_Scan) ... ok #522 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 #523 test_inner_storage_leak (theano.scan_module.tests.test_scan.T_Scan) ... ok #524 test_inplace1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #525 test_inplace2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #526 test_inplace3 (theano.scan_module.tests.test_scan.T_Scan) ... ok #527 test_map (theano.scan_module.tests.test_scan.T_Scan) ... ok #528 test_map_functionality (theano.scan_module.tests.test_scan.T_Scan) ... ok #529 test_memory_aliasing_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #530 test_memory_reuse_with_outputs_as_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #531 test_merge (theano.scan_module.tests.test_scan.T_Scan) ... ok #532 test_merge_3scans (theano.scan_module.tests.test_scan.T_Scan) ... ok #533 test_monitor_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok #534 test_multiple_inputs_multiple_outputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #535 test_multiple_outs_taps (theano.scan_module.tests.test_scan.T_Scan) ... ok #536 test_oinp_iinp_iout_oout_mappings (theano.scan_module.tests.test_scan.T_Scan) ... ok #537 test_one_sequence_one_output_weights (theano.scan_module.tests.test_scan.T_Scan) ... ok #538 test_one_sequence_one_output_weights_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #539 test_only_nonseq_inputs (theano.scan_module.tests.test_scan.T_Scan) ... ok #540 test_only_shared_no_input_no_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #541 test_opt_order (theano.scan_module.tests.test_scan.T_Scan) ... ok #542 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. #543 test_past_future_taps_shared (theano.scan_module.tests.test_scan.T_Scan) ... ok #544 test_pickling (theano.scan_module.tests.test_scan.T_Scan) ... ok #545 test_pregreedy_optimizer (theano.scan_module.tests.test_scan.T_Scan) ... ok #546 test_pushout (theano.scan_module.tests.test_scan.T_Scan) ... ok #547 test_pushout_all (theano.scan_module.tests.test_scan.T_Scan) ... ok #548 test_pushout_dot (theano.scan_module.tests.test_scan.T_Scan) ... ok #549 test_pushout_nomodif (theano.scan_module.tests.test_scan.T_Scan) ... ok #550 test_pushout_nonseq (theano.scan_module.tests.test_scan.T_Scan) ... ok #551 test_pushout_seqs (theano.scan_module.tests.test_scan.T_Scan) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #552 test_pushout_seqs2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #553 test_pushout_while (theano.scan_module.tests.test_scan.T_Scan) ... ok #554 test_reduce (theano.scan_module.tests.test_scan.T_Scan) ... ok #555 test_reduce_memory_consumption (theano.scan_module.tests.test_scan.T_Scan) ... ok #556 test_remove_constants_and_unused_inputs_scan_non_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #557 test_remove_constants_and_unused_inputs_scan_seqs (theano.scan_module.tests.test_scan.T_Scan) ... ok #558 test_remove_stuff (theano.scan_module.tests.test_scan.T_Scan) ... ok #559 test_reordering (theano.scan_module.tests.test_scan.T_Scan) ... ok #560 test_return_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #561 test_rop (theano.scan_module.tests.test_scan.T_Scan) ... ok #562 test_rop2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #563 test_rop_mitmot (theano.scan_module.tests.test_scan.T_Scan) ... ok #564 test_same (theano.scan_module.tests.test_scan.T_Scan) ... ok #565 test_save_mem (theano.scan_module.tests.test_scan.T_Scan) ... ok #566 test_save_mem_reduced_number_of_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #567 test_save_mem_store_steps (theano.scan_module.tests.test_scan.T_Scan) ... ok #568 test_savemem_does_not_duplicate_number_of_scan_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok #569 test_savemem_opt (theano.scan_module.tests.test_scan.T_Scan) ... ok #570 test_savemem_opt_0_step (theano.scan_module.tests.test_scan.T_Scan) ... ok #571 test_scan_as_tensor_on_gradients (theano.scan_module.tests.test_scan.T_Scan) ... ok #572 test_scan_extra_inputs_hessian (theano.scan_module.tests.test_scan.T_Scan) ... ok #573 test_scan_merge_nodes (theano.scan_module.tests.test_scan.T_Scan) ... ok #574 test_scan_output_padding (theano.scan_module.tests.test_scan.T_Scan) ... ok #575 test_seq_tap_bug_jeremiah (theano.scan_module.tests.test_scan.T_Scan) ... ok #576 test_sequence_dict (theano.scan_module.tests.test_scan.T_Scan) ... ok #577 test_shared_arguments_with_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #578 test_shared_updates (theano.scan_module.tests.test_scan.T_Scan) ... ok #579 test_simple_shared_mrg_random (theano.scan_module.tests.test_scan.T_Scan) ... ok #580 test_simple_shared_random (theano.scan_module.tests.test_scan.T_Scan) ... ok #581 test_strict_mode (theano.scan_module.tests.test_scan.T_Scan) ... ok #582 test_strict_mode_ex (theano.scan_module.tests.test_scan.T_Scan) ... ok #583 test_subtensor_multiple_slices (theano.scan_module.tests.test_scan.T_Scan) ... ok #584 test_use_scan_direct_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #585 test_use_scan_direct_output2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #586 test_using_negative_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok #587 test_using_taps_input_output (theano.scan_module.tests.test_scan.T_Scan) ... ok #588 test_using_taps_sequence (theano.scan_module.tests.test_scan.T_Scan) ... ok #589 test_verify_second_grad_mitsot1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #590 test_verify_second_grad_sitsot (theano.scan_module.tests.test_scan.T_Scan) ... ok #591 test_while0 (theano.scan_module.tests.test_scan.T_Scan) ... ok #592 test_while1 (theano.scan_module.tests.test_scan.T_Scan) ... ok #593 test_while2 (theano.scan_module.tests.test_scan.T_Scan) ... ok #594 test_while_infershape (theano.scan_module.tests.test_scan.T_Scan) ... ok #595 test_gibbs_chain (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #596 test_gpu3_mixture_dtype_outputs (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #597 test_gpu_memory_usage (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #598 test_memory_reuse_gpudimshuffle (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #599 test_one_sequence_one_output_weights_gpu1 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed #600 test_one_sequence_one_output_weights_gpu2 (theano.scan_module.tests.test_scan.T_Scan_Gpuarray) ... SKIP: pygpu not installed ---------------------------------------------------------------------- Ran 100 tests in 2242.965s OK (SKIP=8) 13% done in 2250.736s (failed: 0) #601 test_grad_until (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #602 test_grad_until_and_truncate (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #603 test_grad_until_and_truncate_sequence_taps (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #604 test_grad_until_ndim_greater_one (theano.scan_module.tests.test_scan.TestGradUntil) ... ok #605 test_raise_error (theano.scan_module.tests.test_scan.TestInconsistentBroadcast) ... ok #606 test_raise_error (theano.scan_module.tests.test_scan.TestMissingInputError) ... ok #607 theano.scan_module.tests.test_scan.test_speed ... ok #608 theano.scan_module.tests.test_scan.test_speed_rnn ... ok #609 theano.scan_module.tests.test_scan.test_speed_batchrnn ... ok #610 theano.scan_module.tests.test_scan.test_compute_test_value ... ok #611 theano.scan_module.tests.test_scan.test_compute_test_value_nonseq ... ok #612 theano.scan_module.tests.test_scan.test_compute_test_value_grad ... ok #613 theano.scan_module.tests.test_scan.test_compute_test_value_grad_cast ... ok #614 theano.scan_module.tests.test_scan.test_constant_folding_n_steps ... ok #615 theano.scan_module.tests.test_scan.test_outputs_taps_check ... ok #616 theano.scan_module.tests.test_scan.test_default_value_broadcasted ... ok #617 theano.scan_module.tests.test_scan.test_condition_hidden_inp ... ok #618 theano.scan_module.tests.test_scan.test_mintap_onestep ... ok #619 test_backward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #620 test_forward_pass (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #621 test_memory (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... SKIP: Requires pygpu. #622 test_taps_error (theano.scan_module.tests.test_scan_checkpoints.TestScanCheckpoint) ... ok #623 test_batch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok #624 test_nobatch (theano.scan_module.tests.test_scan_opt.TestGaussNewton) ... ok #625 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_nitsot_output ... ok #626 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_not_output ... ok #627 theano.scan_module.tests.test_scan_opt.TestPushOutScanOutputDot.test_dot_sitsot_output ... ok #628 theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_machine_translation ... ok #629 theano.scan_module.tests.test_scan_opt.TestPushOutSumOfDot.test_non_zero_init ... ok #630 test_leaf (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #631 test_leaf_inside_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #632 test_opfromgraph (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #633 test_scan (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #634 test_scan_with_shared_update (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #635 test_scan_with_shared_update2 (theano.scan_module.tests.test_scan_utils.TestMapVariables) ... ok #636 theano.scan_module.tests.test_scan_utils.test_equal_compuations ... ok #637 test_convolution (theano.sparse.sandbox.test_sp.TestSP) ... ok #638 test_maxpool (theano.sparse.sandbox.test_sp.TestSP) ... ok #639 test_multilayer_conv (theano.sparse.sandbox.test_sp.TestSP) ... ok #640 test_grad (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #641 test_infer_shape (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #642 test_op (theano.sparse.tests.test_basic.AddSSDataTester) ... ok #643 test_grad (theano.sparse.tests.test_basic.ArcsinTester) ... ok #644 test_op (theano.sparse.tests.test_basic.ArcsinTester) ... ok #645 test_grad (theano.sparse.tests.test_basic.ArcsinhTester) ... ok #646 test_op (theano.sparse.tests.test_basic.ArcsinhTester) ... ok #647 test_grad (theano.sparse.tests.test_basic.ArctanTester) ... ok #648 test_op (theano.sparse.tests.test_basic.ArctanTester) ... ok #649 test_grad (theano.sparse.tests.test_basic.ArctanhTester) ... ok #650 test_op (theano.sparse.tests.test_basic.ArctanhTester) ... ok #651 test_cast (theano.sparse.tests.test_basic.CastTester) ... /usr/lib/python3/dist-packages/scipy/sparse/data.py:71: ComplexWarning: Casting complex values to real discards the imaginary part self._deduped_data().astype(dtype, casting=casting, copy=copy), /build/theano-1.0.3+dfsg/theano/sparse/tests/test_basic.py:2430: ComplexWarning: Casting complex values to real discards the imaginary part expected = data.toarray().astype(o_dtype) ok #652 test_grad (theano.sparse.tests.test_basic.CastTester) ... ok #653 test_infer_shape (theano.sparse.tests.test_basic.CastTester) ... ok #654 test_op (theano.sparse.tests.test_basic.CeilTester) ... ok #655 test_grad (theano.sparse.tests.test_basic.CleanTester) ... ok #656 test_op (theano.sparse.tests.test_basic.CleanTester) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:747: 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:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #657 test_grad (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #658 test_infer_shape (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #659 test_op (theano.sparse.tests.test_basic.ColScaleCSCTester) ... ok #660 test_op (theano.sparse.tests.test_basic.ConjTester) ... ok #661 test_grad (theano.sparse.tests.test_basic.Deg2radTester) ... ok #662 test_op (theano.sparse.tests.test_basic.Deg2radTester) ... ok #663 test_grad (theano.sparse.tests.test_basic.DiagTester) ... ok #664 test_infer_shape (theano.sparse.tests.test_basic.DiagTester) ... ok #665 test_op (theano.sparse.tests.test_basic.DiagTester) ... ok #666 test_csc_dense (theano.sparse.tests.test_basic.DotTests) ... ok #667 test_csr_dense (theano.sparse.tests.test_basic.DotTests) ... ok #668 test_csr_dense_grad (theano.sparse.tests.test_basic.DotTests) ... ok #669 test_int32_dtype (theano.sparse.tests.test_basic.DotTests) ... ok #670 test_sparse_sparse (theano.sparse.tests.test_basic.DotTests) ... ok #671 test_grad (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #672 test_infer_shape (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #673 test_op (theano.sparse.tests.test_basic.EnsureSortedIndicesTester) ... ok #674 test_grad (theano.sparse.tests.test_basic.Expm1Tester) ... ok #675 test_op (theano.sparse.tests.test_basic.Expm1Tester) ... ok #676 test_op (theano.sparse.tests.test_basic.FloorTester) ... ok #677 test_grad (theano.sparse.tests.test_basic.HStackTester) ... ok #678 test_infer_shape (theano.sparse.tests.test_basic.HStackTester) ... ok #679 test_op (theano.sparse.tests.test_basic.HStackTester) ... ok #680 test_grad (theano.sparse.tests.test_basic.Log1pTester) ... ok #681 test_op (theano.sparse.tests.test_basic.Log1pTester) ... ok #682 test_mul_s_v (theano.sparse.tests.test_basic.MulSVTester) ... ok #683 test_mul_s_v_grad (theano.sparse.tests.test_basic.MulSVTester) ... ok #684 test_grad (theano.sparse.tests.test_basic.Rad2degTester) ... ok #685 test_op (theano.sparse.tests.test_basic.Rad2degTester) ... ok #686 test_grad (theano.sparse.tests.test_basic.Remove0Tester) ... ok #687 test_infer_shape (theano.sparse.tests.test_basic.Remove0Tester) ... ok #688 test_remove0 (theano.sparse.tests.test_basic.Remove0Tester) ... ok #689 test_op (theano.sparse.tests.test_basic.RintTester) ... ok #690 test_grad (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #691 test_infer_shape (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #692 test_op (theano.sparse.tests.test_basic.RowScaleCSCTester) ... ok #693 test_grad (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #694 test_infer_shape (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #695 test_negative_stride (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #696 test_op (theano.sparse.tests.test_basic.SamplingDotTester) ... ok #697 test_op (theano.sparse.tests.test_basic.SgnTester) ... ok #698 test_grad (theano.sparse.tests.test_basic.SinTester) ... ok #699 test_op (theano.sparse.tests.test_basic.SinTester) ... ok #700 test_grad (theano.sparse.tests.test_basic.SinhTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 915.313s OK (SKIP=1) 15% done in 923.000s (failed: 0) #701 test_op (theano.sparse.tests.test_basic.SinhTester) ... ok #702 test_grad (theano.sparse.tests.test_basic.SpSumTester) ... ok #703 test_infer_shape (theano.sparse.tests.test_basic.SpSumTester) ... ok #704 test_op (theano.sparse.tests.test_basic.SpSumTester) ... ok #705 test_add_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #706 test_add_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #707 test_csm (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #708 test_csm_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #709 test_dense_from_sparse (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #710 test_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #711 test_dot_broadcast (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #712 test_getitem_2d (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for GetItem2d yet #713 test_getitem_scalar (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #714 test_mul_sd (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #715 test_mul_ss (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #716 test_neg (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #717 test_remove0 (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #718 test_sparse_from_dense (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #719 test_sparse_from_list (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #720 test_structured_dot (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #721 test_structured_dot_grad (theano.sparse.tests.test_basic.SparseInferShapeTester) ... SKIP: infer_shape not implemented for the grad of structured_dot #722 test_transpose (theano.sparse.tests.test_basic.SparseInferShapeTester) ... ok #723 test_grad (theano.sparse.tests.test_basic.SqrTester) ... ok #724 test_op (theano.sparse.tests.test_basic.SqrTester) ... ok #725 test_grad (theano.sparse.tests.test_basic.SqrtTester) ... ok #726 test_op (theano.sparse.tests.test_basic.SqrtTester) ... ok #727 test_grad (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #728 test_infer_shape (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #729 test_op (theano.sparse.tests.test_basic.SquareDiagonalTester) ... ok #730 test_structured_add_s_v (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok #731 test_structured_add_s_v_grad (theano.sparse.tests.test_basic.StructuredAddSVTester) ... ok #732 test_grad (theano.sparse.tests.test_basic.StructuredAddTester) ... ok #733 test_op (theano.sparse.tests.test_basic.StructuredAddTester) ... ok #734 test_grad (theano.sparse.tests.test_basic.StructuredExpTester) ... ok #735 test_op (theano.sparse.tests.test_basic.StructuredExpTester) ... ok #736 test_grad (theano.sparse.tests.test_basic.StructuredLogTester) ... ok #737 test_op (theano.sparse.tests.test_basic.StructuredLogTester) ... ok #738 test_grad (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok #739 test_op (theano.sparse.tests.test_basic.StructuredMaximumTester) ... ok #740 test_grad (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok #741 test_op (theano.sparse.tests.test_basic.StructuredMinimumTester) ... ok #742 test_grad (theano.sparse.tests.test_basic.StructuredPowTester) ... ok #743 test_op (theano.sparse.tests.test_basic.StructuredPowTester) ... ok #744 test_grad (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok #745 test_op (theano.sparse.tests.test_basic.StructuredSigmoidTester) ... ok #746 testAddDS (theano.sparse.tests.test_basic.T_AddMul) ... ok #747 testAddSD (theano.sparse.tests.test_basic.T_AddMul) ... ok #748 testAddSS (theano.sparse.tests.test_basic.T_AddMul) ... ok #749 testMulDS (theano.sparse.tests.test_basic.T_AddMul) ... ok #750 testMulSD (theano.sparse.tests.test_basic.T_AddMul) ... ok #751 testMulSS (theano.sparse.tests.test_basic.T_AddMul) ... ok #752 test_dense_from_sparse (theano.sparse.tests.test_basic.T_conversion) ... ok #753 test_format_ndim (theano.sparse.tests.test_basic.T_conversion) ... ok #754 test_todense (theano.sparse.tests.test_basic.T_conversion) ... ok #755 test_transpose_csc (theano.sparse.tests.test_basic.T_transpose) ... ok #756 test_transpose_csr (theano.sparse.tests.test_basic.T_transpose) ... ok #757 test_grad_fail (theano.sparse.tests.test_basic.T_verify_grad_sparse) ... ok #758 test_grad (theano.sparse.tests.test_basic.TanTester) ... ok #759 test_op (theano.sparse.tests.test_basic.TanTester) ... ok #760 test_grad (theano.sparse.tests.test_basic.TanhTester) ... ok #761 test_op (theano.sparse.tests.test_basic.TanhTester) ... ok #762 test_adv_sub1_sparse_grad (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok #763 test_err (theano.sparse.tests.test_basic.TestConstructSparseFromList) ... ok #764 test_GetItem2D (theano.sparse.tests.test_basic.Test_getitem) ... SKIP: Slicing with step is supported. #765 test_GetItem2Lists (theano.sparse.tests.test_basic.Test_getitem) ... ok #766 test_GetItem2Lists_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok #767 test_GetItemList (theano.sparse.tests.test_basic.Test_getitem) ... ok #768 test_GetItemList_wrong_index (theano.sparse.tests.test_basic.Test_getitem) ... ok #769 test_GetItemScalar (theano.sparse.tests.test_basic.Test_getitem) ... ok #770 test_get_item_2lists_grad (theano.sparse.tests.test_basic.Test_getitem) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #771 test_get_item_list_grad (theano.sparse.tests.test_basic.Test_getitem) ... ok #772 test_grad (theano.sparse.tests.test_basic.TrueDotTester) ... ok #773 test_infer_shape (theano.sparse.tests.test_basic.TrueDotTester) ... ok #774 test_op_sd (theano.sparse.tests.test_basic.TrueDotTester) ... ok #775 test_op_ss (theano.sparse.tests.test_basic.TrueDotTester) ... ok #776 test_op (theano.sparse.tests.test_basic.TruncTester) ... ok #777 test (theano.sparse.tests.test_basic.UsmmTests) ... ok #778 test_infer_shape (theano.sparse.tests.test_basic.UsmmTests) ... ok #779 test_grad (theano.sparse.tests.test_basic.VStackTester) ... ok #780 test_infer_shape (theano.sparse.tests.test_basic.VStackTester) ... ok #781 test_op (theano.sparse.tests.test_basic.VStackTester) ... ok #782 test_ds_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #783 test_ds_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #784 test_equality_case (theano.sparse.tests.test_basic.test_comparison) ... ok #785 test_sd_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #786 test_sd_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #787 test_ss_csc_comparison (theano.sparse.tests.test_basic.test_comparison) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:296: SparseEfficiencyWarning: Comparing sparse matrices using >= and <= is inefficient, using <, >, or !=, instead. "using <, >, or !=, instead.", SparseEfficiencyWarning) ok #788 test_ss_csr_comparison (theano.sparse.tests.test_basic.test_comparison) ... ok #789 test_csm (theano.sparse.tests.test_basic.test_csm) ... ok #790 test_csm_grad (theano.sparse.tests.test_basic.test_csm) ... ok #791 test_csm_sparser (theano.sparse.tests.test_basic.test_csm) ... ok #792 test_csm_unsorted (theano.sparse.tests.test_basic.test_csm) ... ok #793 test_csm_properties (theano.sparse.tests.test_basic.test_csm_properties) ... ok #794 test_csm_properties_grad (theano.sparse.tests.test_basic.test_csm_properties) ... ok #795 test_get_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #796 test_inplace_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #797 test_return_internal_type (theano.sparse.tests.test_basic.test_shared_options) ... ok #798 test_set_value (theano.sparse.tests.test_basic.test_shared_options) ... ok #799 test_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok #800 test_shape_i (theano.sparse.tests.test_basic.test_shared_options) ... ok ---------------------------------------------------------------------- Ran 100 tests in 532.318s OK (SKIP=3) 17% done in 538.193s (failed: 0) #801 test_shared_do_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok #802 test_shared_dont_alias (theano.sparse.tests.test_basic.test_shared_options) ... ok #803 test_specify_shape (theano.sparse.tests.test_basic.test_shared_options) ... ok #804 test_specify_shape_inplace (theano.sparse.tests.test_basic.test_shared_options) ... ok #805 test_specify_shape_partial (theano.sparse.tests.test_basic.test_shared_options) ... ok #806 test_values_eq (theano.sparse.tests.test_basic.test_shared_options) ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #807 test_csc_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok #808 test_csr_correct_output_faster_than_scipy (theano.sparse.tests.test_basic.test_structureddot) ... ok #809 test_dot_sparse_sparse (theano.sparse.tests.test_basic.test_structureddot) ... ok #810 test_opt_unpack (theano.sparse.tests.test_basic.test_structureddot) ... ok #811 test_structureddot_csc_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok #812 test_structureddot_csr_grad (theano.sparse.tests.test_basic.test_structureddot) ... ok #813 test_upcast (theano.sparse.tests.test_basic.test_structureddot) ... ok #814 test (theano.sparse.tests.test_basic.test_zeros_like) ... ok #815 theano.sparse.tests.test_basic.test_shape_i ... ok #816 theano.sparse.tests.test_basic.test_shape ... ok #817 theano.sparse.tests.test_basic.test_may_share_memory ... ok #818 theano.sparse.tests.test_basic.test_sparse_shared_memory ... ok #819 theano.sparse.tests.test_basic.test_size ... /usr/lib/python3/dist-packages/scipy/sparse/compressed.py:747: 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:747: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient. SparseEfficiencyWarning) ok #820 theano.sparse.tests.test_basic.test_hstack_vstack ... ok #821 theano.sparse.tests.test_opt.test_local_csm_properties_csm ... ok #822 theano.sparse.tests.test_opt.test_local_csm_grad_c ... SKIP: Opt disabled as it don't support unsorted indices #823 theano.sparse.tests.test_opt.test_local_mul_s_d ... ok #824 theano.sparse.tests.test_opt.test_local_mul_s_v ... ok #825 theano.sparse.tests.test_opt.test_local_structured_add_s_v ... ok #826 theano.sparse.tests.test_opt.test_local_sampling_dot_csr ... ok #827 theano.sparse.tests.test_opt.test_local_dense_from_sparse_sparse_from_dense ... ok #828 theano.sparse.tests.test_opt.test_sd_csc ... ok #829 test_infer_shape (theano.sparse.tests.test_sp2.BinomialTester) ... ok #830 test_op (theano.sparse.tests.test_sp2.BinomialTester) ... ok #831 test_infer_shape (theano.sparse.tests.test_sp2.MultinomialTester) ... ok #832 test_op (theano.sparse.tests.test_sp2.MultinomialTester) ... ok #833 test_infer_shape (theano.sparse.tests.test_sp2.PoissonTester) ... ok #834 test_op (theano.sparse.tests.test_sp2.PoissonTester) ... ok #835 theano.sparse.tests.test_type.test_sparse_type ... ok #836 theano.sparse.tests.test_utils.test_hash_from_sparse ... ok #837 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() ok #838 test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #839 test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv3d_noOptim) ... /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #840 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok #841 test_gradinputs (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok #842 test_gradweights (theano.tensor.nnet.tests.test_abstract_conv.Grouped_conv_noOptim) ... ok #843 test_interface2d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... ok #844 test_interface3d (theano.tensor.nnet.tests.test_abstract_conv.Separable_conv) ... ok #845 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 #846 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 #847 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 #848 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertConvShape) ... ok #849 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #850 test_shape_check_conv2d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #851 test_shape_check_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #852 test_shape_check_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #853 test_shape_check_conv3d (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #854 test_shape_check_conv3d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #855 test_shape_check_conv3d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestAssertShape) ... ok #856 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok #857 test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok #858 test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestAsymmetricPadding) ... ok #859 test_bilinear_kernel_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #860 test_bilinear_kernel_2D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #861 test_bilinear_upsampling_1D (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #862 test_bilinear_upsampling_reshaping (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #863 test_compare_1D_and_2D_upsampling_values (theano.tensor.nnet.tests.test_abstract_conv.TestBilinearUpsampling) ... ok #864 Test bilinear upsampling with nonsimilar fractional ... ok #865 test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestCausalConv) ... ok #866 test_conv2d_grad_wrt_inputs (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok #867 test_conv2d_grad_wrt_weights (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dGrads) ... ok #868 test_interface (theano.tensor.nnet.tests.test_abstract_conv.TestConv2dTranspose) ... ok #869 test_check_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok #870 test_get_shape (theano.tensor.nnet.tests.test_abstract_conv.TestConvGradInputsShape) ... ok #871 test_constant_input (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok #872 test_grad_types (theano.tensor.nnet.tests.test_abstract_conv.TestConvTypes) ... ok #873 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 #874 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 #875 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 #876 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 #877 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 #878 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 #879 test_basic (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok #880 test_basic_3d (theano.tensor.nnet.tests.test_abstract_conv.TestGetConvOutShape) ... ok #881 test_fwd (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok #882 test_gradinput (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok #883 test_gradweight (theano.tensor.nnet.tests.test_abstract_conv.TestUnsharedConv) ... ok #884 theano.tensor.nnet.tests.test_abstract_conv.test_constant_shapes ... ok #885 test_dot_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #886 test_gemv_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #887 test_outer_infershape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:71: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:73: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #888 test_sparseblockdot (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #889 test_sparseblockgemv (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #890 test_sparseblockgemvF (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #891 test_sparseblockgemv_grad (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #892 test_sparseblockgemv_grad_1 (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... ok #893 test_sparseblockgemv_grad_shape (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:46: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:49: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #894 test_sparseblockouter (theano.tensor.nnet.tests.test_blocksparse.BlockSparse_Gemv_and_Outer) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:71: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_blocksparse.py:73: FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future. for _ in range(batchSize)).astype('int32') ok #895 theano.tensor.nnet.tests.test_bn.test_BNComposite ... ok #896 theano.tensor.nnet.tests.test_bn.test_batch_normalization ... ok #897 theano.tensor.nnet.tests.test_bn.test_bn_feature_maps ... ok #898 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train ... ok #899 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_grad_grad ... ok #900 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_without_running_averages ... ok ---------------------------------------------------------------------- Ran 1154 tests in 4433.815s OK (SKIP=1) 20% done in 4441.351s (failed: 0) #901 theano.tensor.nnet.tests.test_bn.test_batch_normalization_train_broadcast ... ok #902 theano.tensor.nnet.tests.test_bn.test_batch_normalization_test ... ok #903 theano.tensor.nnet.tests.test_bn.test_batch_normalization_broadcastable ... ok #904 test_basic (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #905 test_basic1 (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #906 test_full_mode (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #907 test_gcc_crash (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #908 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #909 test_infer_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #910 test_invalid_filter_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #911 test_invalid_input_shape (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #912 test_missing_info (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #913 test_shape_Constant_tensor (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #914 test_subsample (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #915 test_uint_filter_shape_datatype (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #916 test_uint_image_shape_datatype (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #917 test_unroll_batch (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #918 test_unroll_batch_kern (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #919 test_unroll_batch_kern_fail (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #920 test_unroll_kern (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #921 test_unroll_patch_false (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #922 test_unroll_patch_true (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #923 test_unroll_patch_true_fail (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #924 test_unroll_special (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #925 test_wrong_info (theano.tensor.nnet.tests.test_conv.TestConv2D) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #926 test_wrong_input (theano.tensor.nnet.tests.test_conv.TestConv2D) ... ok #927 theano.tensor.nnet.tests.test_conv.test_broadcast_grad ... ok #928 theano.tensor.nnet.tests.test_conv3d2d.test_get_diagonal_subtensor_view ... ok #929 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_full ... ok #930 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_half ... ok #931 theano.tensor.nnet.tests.test_conv3d2d.test_conv3d_valid ... ok #932 test_fwd (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... ok #933 test_gradinputs (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... ok #934 test_gradweights (theano.tensor.nnet.tests.test_corr.Grouped_conv_noOptim) ... ok #935 test_fwd (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... ok #936 test_gradinput (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... ok #937 test_gradweight (theano.tensor.nnet.tests.test_corr.TestAsymmetricCorr) ... ok #938 test_fwd (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... ok #939 test_gradinput (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... ok #940 test_gradweight (theano.tensor.nnet.tests.test_corr.TestAsymmetricPadding) ... ok #941 test_interface (theano.tensor.nnet.tests.test_corr.TestCausalConv) ... ok #942 test_interface (theano.tensor.nnet.tests.test_corr.TestCausalCorr) ... ok #943 test_basic (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #944 test_dtype_upcast (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #945 test_filter_dilation (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #946 test_full_mode (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #947 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #948 test_infer_shape_forward (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #949 test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #950 test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #951 test_invalid_filter_shape (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #952 test_non_contiguous (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #953 test_shape_Constant_tensor (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #954 test_subsample (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #955 test_wrong_input (theano.tensor.nnet.tests.test_corr.TestCorr2D) ... ok #956 test_fwd (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #957 test_gradinputs (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #958 test_gradweights (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #959 test_graph (theano.tensor.nnet.tests.test_corr.TestGroupCorr2d) ... ok #960 test_fwd (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... ok #961 test_gradinput (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... ok #962 test_gradweight (theano.tensor.nnet.tests.test_corr.TestUnsharedConv) ... ok #963 test_fwd (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... ok #964 test_gradinput (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... ok #965 test_gradweight (theano.tensor.nnet.tests.test_corr.TestUnsharedCorr2d) ... ok #966 test_fwd (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #967 test_gradinputs (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #968 test_gradweights (theano.tensor.nnet.tests.test_corr3d.Grouped_conv3d_noOptim) ... /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:491: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. return x[reverse].conj() /usr/lib/python3/dist-packages/scipy/signal/signaltools.py:251: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. in1zpadded[sc] = in1.copy() ok #969 test_basic (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #970 test_dtype_upcast (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #971 test_filter_dilation_0 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #972 test_filter_dilation_1 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #973 test_filter_dilation_10 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #974 test_filter_dilation_11 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #975 test_filter_dilation_12 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #976 test_filter_dilation_2 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #977 test_filter_dilation_3 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #978 test_filter_dilation_4 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #979 test_filter_dilation_5 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #980 test_filter_dilation_6 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #981 test_filter_dilation_7 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #982 test_filter_dilation_8 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #983 test_filter_dilation_9 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #984 test_filter_dilation_subsample (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #985 test_full_mode (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #986 test_img_kernel_same_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #987 test_infer_shape_forward (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #988 test_infer_shape_gradI (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #989 test_infer_shape_gradW (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #990 test_invalid_filter_shape (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #991 test_non_contiguous (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #992 test_shape_Constant_tensor_0_valid (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #993 test_shape_Constant_tensor_1_full (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #994 test_shape_Constant_tensor_2_half (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #995 test_shape_Constant_tensor_3 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #996 test_shape_Constant_tensor_4 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #997 test_shape_Constant_tensor_5 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #998 test_shape_Constant_tensor_6 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #999 test_shape_Constant_tensor_7 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1000 test_shape_Constant_tensor_8 (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok ---------------------------------------------------------------------- Ran 100 tests in 1380.734s OK 22% done in 1387.836s (failed: 0) #1001 test_subsample (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1002 test_wrong_input (theano.tensor.nnet.tests.test_corr3d.TestCorr3D) ... ok #1003 test_fwd (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... ok #1004 test_gradinputs (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... ok #1005 test_gradweights (theano.tensor.nnet.tests.test_corr3d.TestGroupCorr3d) ... ok #1006 test_ctc (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1007 test_torch_case (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1008 test_verify_grad (theano.tensor.nnet.tests.test_ctc.TestCTC) ... SKIP: Optional library warp-ctc not available #1009 test_can_not_infer_nb_dim (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1010 test_grad_full (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1011 test_grad_half (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1012 test_grad_ignore_border (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1013 test_grad_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1014 test_grad_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1015 test_infer_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1016 test_neibs (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1017 test_neibs2images_grad (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1018 test_neibs_bad_shape (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1019 test_neibs_bad_shape_wrap_centered (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1020 test_neibs_full_step_by_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1021 test_neibs_full_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1022 test_neibs_half_step_by_valid (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1023 test_neibs_half_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1024 test_neibs_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1025 test_neibs_manual_step (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1026 test_neibs_valid_with_inconsistent_borders (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1027 test_neibs_wrap_centered_step_manual (theano.tensor.nnet.tests.test_neighbours.T_Images2Neibs) ... ok #1028 test_bad_build (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1029 test_bad_runtime (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1030 test_good (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1031 test_grad (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1032 test_grad_none (theano.tensor.nnet.tests.test_nnet.SoftsignTester) ... ok #1033 test_crossentropy_softmax_1hot_with_bias_dxcale_cost (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1034 test_get_rid_of_advanced_indexing_version_of_xent (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1035 test_grad (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1036 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1037 test_optimize_xent_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1008: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1009: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x)[T.arange(y.shape[0]), y]))] ok #1038 test_optimize_xent_vector2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1055: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1056: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1057: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1058: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] ok #1039 test_optimize_xent_vector3 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1116: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1117: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1118: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1119: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] ok #1040 test_optimize_xent_vector4 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1178: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(x + b)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1179: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(b + x)[T.arange(y.shape[0]), y])), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1180: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. -T.sum(T.log(softmax(x + b))[T.arange(y.shape[0]), y]), /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:1181: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. T.sum(-T.log(softmax(b + x))[T.arange(y.shape[0]), y])] ok #1041 test_softmax_grad_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #1042 test_softmax_grad_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... /usr/lib/python3.7/unittest/case.py:615: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. testMethod() ok #1043 test_softmax_optimizations (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1044 test_softmax_optimizations_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1045 test_softmax_optimizations_w_bias (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1046 test_softmax_optimizations_w_bias2 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1047 test_softmax_optimizations_w_bias_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1048 test_xent_thing_int32 (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1Hot) ... ok #1049 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropyCategorical1HotGrad) ... ok #1050 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1051 test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1052 test_vector (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1053 test_vectors (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1Hot) ... ok #1054 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1055 test1 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #1056 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1057 test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmax1HotWithBiasDx) ... ok #1058 test0 (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1059 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1060 test_neg_idx (theano.tensor.nnet.tests.test_nnet.T_CrossentropySoftmaxArgmax1HotWithBias) ... ok #1061 test0 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1062 test1 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1063 test2 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1064 test3 (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1065 test_allclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1066 test_isclose (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1067 test_local_softmax_grad_optimization_and_big_input (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1068 test_local_softmax_optimization (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1069 test_logsoftmax_grad_true_div_elemwise (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #1070 test_matrix (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... ok #1071 test_vector (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /usr/lib/python3.7/unittest/case.py:615: UserWarning: DEPRECATION: If x is a vector, LogSoftmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. testMethod() ok #1072 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_LogSoftmax) ... /build/theano-1.0.3+dfsg/theano/gradient.py:1728: UserWarning: DEPRECATION: If x is a vector, LogSoftmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. o_output = fun(*tensor_pt) ok #1073 test0 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1074 test1 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1075 test2 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1076 test3 (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1077 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... ok #1078 test_vector (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /usr/lib/python3.7/unittest/case.py:615: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. testMethod() ok #1079 test_vector_grad (theano.tensor.nnet.tests.test_nnet.T_Softmax) ... /build/theano-1.0.3+dfsg/theano/gradient.py:1728: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. o_output = fun(*tensor_pt) ok #1080 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxGrad) ... ok #1081 test0 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1082 test1 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1083 test2 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1084 test3 (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1085 test_broadcast (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1086 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... ok #1087 test_softmax_with_bias_trace (theano.tensor.nnet.tests.test_nnet.T_SoftmaxWithBias) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/tests/test_nnet.py:155: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. sm = T.nnet.softmax(a + b) ok #1088 test0 (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok #1089 basic functionality ... ok #1090 test_infer_shape (theano.tensor.nnet.tests.test_nnet.T_prepend) ... ok #1091 test_elemwise (theano.tensor.nnet.tests.test_nnet.T_sigmoid) ... ok #1092 test_grad (theano.tensor.nnet.tests.test_nnet.T_sigmoid_binary_crossentropy) ... ok #1093 test_matches_binary_crossentropy (theano.tensor.nnet.tests.test_nnet.T_sigmoid_binary_crossentropy) ... ok #1094 test_elemwise (theano.tensor.nnet.tests.test_nnet.T_softplus) ... ok #1095 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_1d_basic ... SKIP: Optimization not enabled for the moment #1096 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic ... ok #1097 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_basic_keepdims ... ok #1098 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_grad ... SKIP: Optimization not enabled for the moment #1099 theano.tensor.nnet.tests.test_nnet.Test_softmax_opt.test_transpose_basic ... SKIP: Optimization not enabled for the moment #1100 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok ---------------------------------------------------------------------- Ran 100 tests in 411.882s OK (SKIP=6) 24% done in 418.608s (failed: 0) #1101 theano.tensor.nnet.tests.test_nnet.test_argmax_pushdown_bias ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #1102 theano.tensor.nnet.tests.test_nnet.test_asymptotic_32 ... ok #1103 theano.tensor.nnet.tests.test_nnet.test_softmax_graph ... ok #1104 theano.tensor.nnet.tests.test_nnet.test_grad_softmax_grad ... ok #1105 theano.tensor.nnet.tests.test_nnet.test_stabilize_log_softmax ... ok #1106 theano.tensor.nnet.tests.test_nnet.test_relu ... ok #1107 theano.tensor.nnet.tests.test_nnet.test_h_softmax ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #1108 theano.tensor.nnet.tests.test_nnet.test_elu ... ok #1109 theano.tensor.nnet.tests.test_nnet.test_selu ... ok #1110 theano.tensor.nnet.tests.test_nnet.test_binary_crossentropy_reshape ... ok #1111 theano.tensor.nnet.tests.test_nnet.test_confusion_matrix ... ok #1112 theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_gemv_opt ... ok #1113 theano.tensor.nnet.tests.test_opt.test_blocksparse_inplace_outer_opt ... ok #1114 test_bad_build (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1115 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1116 test_good (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1117 test_grad (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1118 test_grad_none (theano.tensor.nnet.tests.test_sigm.HardSigmoidTester) ... ok #1119 test_bad_build (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1120 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1121 test_good (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1122 test_grad (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1123 test_grad_none (theano.tensor.nnet.tests.test_sigm.SigmoidTester) ... ok #1124 test_bad_build (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1125 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1126 test_good (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1127 test_grad (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1128 test_grad_none (theano.tensor.nnet.tests.test_sigm.SoftplusTester) ... ok #1129 test_elemwise (theano.tensor.nnet.tests.test_sigm.T_sigmoid) ... ok #1130 test_1msigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1131 test_exp_over_1_plus_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1132 test_grad_log1msigm (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1133 test_local_hard_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1134 test_local_sigm_times_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1135 test_local_ultra_fast_sigmoid (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1136 test_perform_sigm_times_exp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_opts) ... ok #1137 test_compute_mul (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1138 test_is_1pexp (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1139 test_parse_mul_tree (theano.tensor.nnet.tests.test_sigm.T_sigmoid_utils) ... ok #1140 test_elemwise (theano.tensor.nnet.tests.test_sigm.T_softplus) ... ok #1141 test_log1msigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1142 test_log1pexp_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1143 test_logsigm_to_softplus (theano.tensor.nnet.tests.test_sigm.T_softplus_opts) ... ok #1144 test_bad_build (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1145 test_bad_runtime (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1146 test_good (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1147 test_grad (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1148 test_grad_none (theano.tensor.nnet.tests.test_sigm.UltraFastSigmoidTester) ... ok #1149 test_basic (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1150 test_bug_josh_reported (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1151 test_fail (theano.tensor.signal.tests.test_conv.TestSignalConv2D) ... ok #1152 test_AveragePoolGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1153 test_AveragePoolGrad_grad_stride__1_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1154 test_AveragePoolGrad_grad_stride__1_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1155 test_AveragePoolGrad_grad_stride__1_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1156 test_AveragePoolGrad_grad_stride__1_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1157 test_AveragePoolGrad_grad_stride__1_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1158 test_AveragePoolGrad_grad_stride__1_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1159 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1160 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1161 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1162 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1163 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1164 test_AveragePoolGrad_grad_stride__1_1_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1165 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1166 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1167 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1168 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1169 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1170 test_AveragePoolGrad_grad_stride__1_1_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1171 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1172 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1173 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1174 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1175 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1176 test_AveragePoolGrad_grad_stride__1_1_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1177 test_AveragePoolGrad_grad_stride__1_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1178 test_AveragePoolGrad_grad_stride__1_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1179 test_AveragePoolGrad_grad_stride__1_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1180 test_AveragePoolGrad_grad_stride__1_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1181 test_AveragePoolGrad_grad_stride__1_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1182 test_AveragePoolGrad_grad_stride__1_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1183 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1184 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1185 test_AveragePoolGrad_grad_stride__1_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1186 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1187 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1188 test_AveragePoolGrad_grad_stride__1_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1189 test_AveragePoolGrad_grad_stride__2_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1190 test_AveragePoolGrad_grad_stride__2_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1191 test_AveragePoolGrad_grad_stride__2_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1192 test_AveragePoolGrad_grad_stride__2_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1193 test_AveragePoolGrad_grad_stride__2_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1194 test_AveragePoolGrad_grad_stride__2_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1195 test_AveragePoolGrad_grad_stride__2_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1196 test_AveragePoolGrad_grad_stride__2_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1197 test_AveragePoolGrad_grad_stride__2_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1198 test_AveragePoolGrad_grad_stride__2_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1199 test_AveragePoolGrad_grad_stride__2_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1200 test_AveragePoolGrad_grad_stride__2_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 346.419s OK 26% done in 353.263s (failed: 0) #1201 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1202 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1203 test_AveragePoolGrad_grad_stride__2_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1204 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1205 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1206 test_AveragePoolGrad_grad_stride__2_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1207 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1208 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1209 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1210 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1211 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1212 test_AveragePoolGrad_grad_stride__3_2_2_3_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1213 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1214 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1215 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1216 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1217 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1218 test_AveragePoolGrad_grad_stride__3_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1219 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1220 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1221 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1222 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1223 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1224 test_AveragePoolGrad_grad_stride__3_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1225 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1226 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1227 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1228 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1229 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1230 test_AveragePoolGrad_grad_stride__3_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1231 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1232 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1233 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1234 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1235 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1236 test_AveragePoolGrad_grad_stride__5_1_2_1_1_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1237 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1238 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1239 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1240 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1241 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1242 test_AveragePoolGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1243 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1244 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1245 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1246 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1247 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1248 test_AveragePoolGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1249 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1250 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1251 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1252 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1253 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1254 test_AveragePoolGrad_grad_stride__5_3_10_6_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1255 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1256 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1257 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1258 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1259 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1260 test_AveragePoolGrad_grad_stride__5_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1261 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1262 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1263 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1264 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1265 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1266 test_AveragePoolGrad_grad_stride__5_3_3_2_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1267 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1268 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1269 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1270 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1271 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1272 test_AveragePoolGrad_grad_stride__5_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1273 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1274 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1275 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1276 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1277 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1278 test_AveragePoolGrad_grad_stride__5_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1279 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1280 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1281 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1282 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1283 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1284 test_AveragePoolGrad_grad_stride__5_3_7_5_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1285 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1286 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1287 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1288 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1289 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1290 test_AveragePoolGrad_grad_stride__5_5_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1291 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1292 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1293 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1294 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1295 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1296 test_AveragePoolGrad_grad_stride__7_7_10_10_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1297 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1298 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1299 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1300 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 89.584s OK 29% done in 95.986s (failed: 0) #1301 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1302 test_AveragePoolGrad_grad_stride__9_9_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1303 test_AveragePoolPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1304 test_DownsampleFactorMax (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1305 test_DownsampleFactorMaxGradGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1306 test_DownsampleFactorMaxGrad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1307 test_DownsampleFactorMaxGrad_grad_stride__1_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1308 test_DownsampleFactorMaxGrad_grad_stride__1_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1309 test_DownsampleFactorMaxGrad_grad_stride__1_1_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1310 test_DownsampleFactorMaxGrad_grad_stride__1_1_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1311 test_DownsampleFactorMaxGrad_grad_stride__1_1_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1312 test_DownsampleFactorMaxGrad_grad_stride__1_1_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1313 test_DownsampleFactorMaxGrad_grad_stride__1_1_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1314 test_DownsampleFactorMaxGrad_grad_stride__1_1_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1315 test_DownsampleFactorMaxGrad_grad_stride__1_3_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1316 test_DownsampleFactorMaxGrad_grad_stride__1_3_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1317 test_DownsampleFactorMaxGrad_grad_stride__1_5_1_2_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1318 test_DownsampleFactorMaxGrad_grad_stride__1_5_1_2_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1319 test_DownsampleFactorMaxGrad_grad_stride__2_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1320 test_DownsampleFactorMaxGrad_grad_stride__2_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1321 test_DownsampleFactorMaxGrad_grad_stride__2_3_1_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1322 test_DownsampleFactorMaxGrad_grad_stride__2_3_1_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1323 test_DownsampleFactorMaxGrad_grad_stride__2_5_1_2_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1324 test_DownsampleFactorMaxGrad_grad_stride__2_5_1_2_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1325 test_DownsampleFactorMaxGrad_grad_stride__3_2_2_3_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1326 test_DownsampleFactorMaxGrad_grad_stride__3_2_2_3_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1327 test_DownsampleFactorMaxGrad_grad_stride__3_3_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1328 test_DownsampleFactorMaxGrad_grad_stride__3_3_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1329 test_DownsampleFactorMaxGrad_grad_stride__3_3_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1330 test_DownsampleFactorMaxGrad_grad_stride__3_3_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1331 test_DownsampleFactorMaxGrad_grad_stride__3_3_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1332 test_DownsampleFactorMaxGrad_grad_stride__3_3_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1333 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_1_1_1_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1334 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_1_1_1_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1335 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1336 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_3_1_2_1_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1337 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1338 test_DownsampleFactorMaxGrad_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1339 test_DownsampleFactorMaxGrad_grad_stride__5_3_10_6_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1340 test_DownsampleFactorMaxGrad_grad_stride__5_3_10_6_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1341 test_DownsampleFactorMaxGrad_grad_stride__5_3_1_1_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1342 test_DownsampleFactorMaxGrad_grad_stride__5_3_1_1_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1343 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_2_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1344 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_2_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1345 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_3_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1346 test_DownsampleFactorMaxGrad_grad_stride__5_3_3_3_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1347 test_DownsampleFactorMaxGrad_grad_stride__5_3_5_7_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1348 test_DownsampleFactorMaxGrad_grad_stride__5_3_5_7_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1349 test_DownsampleFactorMaxGrad_grad_stride__5_3_7_5_1_2_16_16__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1350 test_DownsampleFactorMaxGrad_grad_stride__5_3_7_5_1_2_16_16__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1351 test_DownsampleFactorMaxGrad_grad_stride__5_5_1_1_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1352 test_DownsampleFactorMaxGrad_grad_stride__5_5_1_1_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1353 test_DownsampleFactorMaxGrad_grad_stride__7_7_10_10_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1354 test_DownsampleFactorMaxGrad_grad_stride__7_7_10_10_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1355 test_DownsampleFactorMaxGrad_grad_stride__9_9_1_1_1_2_8_5__False (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1356 test_DownsampleFactorMaxGrad_grad_stride__9_9_1_1_1_2_8_5__True (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1357 test_DownsampleFactorMaxPaddingStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:199: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = padded_input[l][region] ok #1358 test_DownsampleFactorMaxPaddingStride_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1359 test_DownsampleFactorMaxPaddingStride_grad_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1360 test_DownsampleFactorMaxStride (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:306: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. patch = input[l][region] ok #1361 test_DownsampleFactorMaxStrideExtra (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1362 test_DownsampleFactorMax_grad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1363 test_DownsampleFactorMax_grad_stride__1_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1364 test_DownsampleFactorMax_grad_stride__1_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1365 test_DownsampleFactorMax_grad_stride__1_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1366 test_DownsampleFactorMax_grad_stride__1_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1367 test_DownsampleFactorMax_grad_stride__1_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1368 test_DownsampleFactorMax_grad_stride__1_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1369 test_DownsampleFactorMax_grad_stride__1_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1370 test_DownsampleFactorMax_grad_stride__1_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1371 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1372 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1373 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1374 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1375 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1376 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1377 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1378 test_DownsampleFactorMax_grad_stride__1_1_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1379 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1380 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1381 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1382 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1383 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1384 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1385 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1386 test_DownsampleFactorMax_grad_stride__1_1_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1387 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1388 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1389 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1390 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1391 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1392 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1393 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1394 test_DownsampleFactorMax_grad_stride__1_1_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1395 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1396 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1397 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1398 test_DownsampleFactorMax_grad_stride__1_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1399 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1400 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 311.499s OK 31% done in 318.095s (failed: 0) #1401 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1402 test_DownsampleFactorMax_grad_stride__1_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1403 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1404 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1405 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1406 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1407 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1408 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1409 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1410 test_DownsampleFactorMax_grad_stride__1_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1411 test_DownsampleFactorMax_grad_stride__2_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1412 test_DownsampleFactorMax_grad_stride__2_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1413 test_DownsampleFactorMax_grad_stride__2_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1414 test_DownsampleFactorMax_grad_stride__2_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1415 test_DownsampleFactorMax_grad_stride__2_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1416 test_DownsampleFactorMax_grad_stride__2_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1417 test_DownsampleFactorMax_grad_stride__2_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1418 test_DownsampleFactorMax_grad_stride__2_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1419 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1420 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1421 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1422 test_DownsampleFactorMax_grad_stride__2_3_1_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1423 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1424 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1425 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1426 test_DownsampleFactorMax_grad_stride__2_3_1_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1427 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1428 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1429 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1430 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1431 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1432 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1433 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1434 test_DownsampleFactorMax_grad_stride__2_5_1_2_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1435 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1436 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1437 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1438 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1439 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1440 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1441 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1442 test_DownsampleFactorMax_grad_stride__3_2_2_3_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1443 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1444 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1445 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1446 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1447 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1448 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1449 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1450 test_DownsampleFactorMax_grad_stride__3_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1451 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1452 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1453 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1454 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1455 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1456 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1457 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1458 test_DownsampleFactorMax_grad_stride__3_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1459 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1460 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1461 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1462 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1463 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1464 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1465 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1466 test_DownsampleFactorMax_grad_stride__3_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1467 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1468 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1469 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1470 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1471 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1472 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1473 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1474 test_DownsampleFactorMax_grad_stride__5_1_2_1_1_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1475 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1476 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1477 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1478 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1479 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1480 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1481 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1482 test_DownsampleFactorMax_grad_stride__5_1_2_3_1_2_1_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1483 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1484 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1485 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1486 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1487 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1488 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1489 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1490 test_DownsampleFactorMax_grad_stride__5_1_2_5_1_4_1_2_16_3_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1491 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1492 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1493 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1494 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1495 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1496 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1497 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1498 test_DownsampleFactorMax_grad_stride__5_3_10_6_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1499 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1500 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok ---------------------------------------------------------------------- Ran 100 tests in 42.634s OK 33% done in 49.144s (failed: 0) #1501 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1502 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1503 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1504 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1505 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1506 test_DownsampleFactorMax_grad_stride__5_3_1_1_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1507 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1508 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1509 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1510 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1511 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1512 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1513 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1514 test_DownsampleFactorMax_grad_stride__5_3_3_2_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1515 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1516 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1517 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1518 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1519 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1520 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1521 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1522 test_DownsampleFactorMax_grad_stride__5_3_3_3_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1523 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1524 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1525 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1526 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1527 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1528 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1529 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1530 test_DownsampleFactorMax_grad_stride__5_3_5_7_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1531 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1532 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1533 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1534 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1535 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1536 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1537 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1538 test_DownsampleFactorMax_grad_stride__5_3_7_5_1_2_16_16__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1539 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1540 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1541 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1542 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1543 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1544 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1545 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1546 test_DownsampleFactorMax_grad_stride__5_5_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1547 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1548 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1549 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1550 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1551 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1552 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1553 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1554 test_DownsampleFactorMax_grad_stride__7_7_10_10_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1555 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1556 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1557 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1558 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__False_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1559 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_average_exc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1560 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_average_inc_pad (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1561 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_max (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1562 test_DownsampleFactorMax_grad_stride__9_9_1_1_1_2_8_5__True_sum (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1563 test_DownsampleFactorMax_hessian (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1564 test_infer_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1565 test_max_pool_2d_2D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1566 test_max_pool_2d_2D_same_size (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1567 test_max_pool_2d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1568 test_max_pool_2d_6D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1569 test_max_pool_3d_3D (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1570 test_max_pool_3d_3D_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:919: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:919: 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 #1571 test_old_pool_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1572 test_out_shape (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1573 test_pooling_with_tensor_vars (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... ok #1574 test_pooling_with_tensor_vars_deprecated_interface (theano.tensor.signal.tests.test_pool.TestDownsampleFactorMax) ... /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1103: UserWarning: DEPRECATION: the 'padding' parameter is not going to exist anymore as it is going to be replaced by the parameter 'pad'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'ds' parameter is not going to exist anymore as it is going to be replaced by the parameter 'ws'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1119: UserWarning: DEPRECATION: the 'st' parameter is not going to exist anymore as it is going to be replaced by the parameter 'stride'. mode=mode) /build/theano-1.0.3+dfsg/theano/tensor/signal/tests/test_pool.py:1119: 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 #1575 Demonstrate stochastic gradient descent optimization for a multilayer ... ok #1576 test_bad_build (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1577 test_bad_runtime (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1578 test_good (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1579 test_grad (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1580 test_grad_none (theano.tensor.tests.test_basic.AbsInplaceTester) ... ok #1581 test_bad_build (theano.tensor.tests.test_basic.AbsTester) ... ok #1582 test_bad_runtime (theano.tensor.tests.test_basic.AbsTester) ... ok #1583 test_good (theano.tensor.tests.test_basic.AbsTester) ... ok #1584 test_grad (theano.tensor.tests.test_basic.AbsTester) ... ok #1585 test_grad_none (theano.tensor.tests.test_basic.AbsTester) ... ok #1586 test_bad_build (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1587 test_bad_runtime (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1588 test_good (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1589 test_grad (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1590 test_grad_none (theano.tensor.tests.test_basic.AddInplaceTester) ... ok #1591 test_bad_build (theano.tensor.tests.test_basic.AddTester) ... ok #1592 test_bad_runtime (theano.tensor.tests.test_basic.AddTester) ... ok #1593 test_good (theano.tensor.tests.test_basic.AddTester) ... ok #1594 test_grad (theano.tensor.tests.test_basic.AddTester) ... ok #1595 test_grad_none (theano.tensor.tests.test_basic.AddTester) ... ok #1596 test_bad_build (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1597 test_bad_runtime (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1598 test_good (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1599 test_grad (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok #1600 test_grad_none (theano.tensor.tests.test_basic.Alloc01GradTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 328.622s OK 35% done in 335.147s (failed: 0) #1601 test_bad_build (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1602 test_bad_runtime (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1603 test_good (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1604 test_grad (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1605 test_grad_none (theano.tensor.tests.test_basic.Alloc13GradTester) ... ok #1606 test_bad_build (theano.tensor.tests.test_basic.AllocTester) ... ok #1607 test_bad_runtime (theano.tensor.tests.test_basic.AllocTester) ... ok #1608 test_good (theano.tensor.tests.test_basic.AllocTester) ... ok #1609 test_grad (theano.tensor.tests.test_basic.AllocTester) ... ok #1610 test_grad_none (theano.tensor.tests.test_basic.AllocTester) ... ok #1611 test_bad_build (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1612 test_bad_runtime (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1613 test_good (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1614 test_grad (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1615 test_grad_none (theano.tensor.tests.test_basic.Allocb1GradTester) ... ok #1616 test_bad_build (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1617 test_bad_runtime (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1618 test_good (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1619 test_grad (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1620 test_grad_none (theano.tensor.tests.test_basic.Allocb2GradTester) ... ok #1621 test_bad_build (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1622 test_bad_runtime (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1623 test_good (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1624 test_grad (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1625 test_grad_none (theano.tensor.tests.test_basic.Allocb3GradTester) ... ok #1626 test_bad_build (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1627 test_bad_runtime (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1628 test_good (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1629 test_grad (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1630 test_grad_none (theano.tensor.tests.test_basic.Allocb4GradTester) ... ok #1631 test_bad_build (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1632 test_bad_runtime (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1633 test_good (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1634 test_grad (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1635 test_grad_none (theano.tensor.tests.test_basic.ArccosInplaceTester) ... ok #1636 test_bad_build (theano.tensor.tests.test_basic.ArccosTester) ... ok #1637 test_bad_runtime (theano.tensor.tests.test_basic.ArccosTester) ... ok #1638 test_good (theano.tensor.tests.test_basic.ArccosTester) ... ok #1639 test_grad (theano.tensor.tests.test_basic.ArccosTester) ... ok #1640 test_grad_none (theano.tensor.tests.test_basic.ArccosTester) ... ok #1641 test_bad_build (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1642 test_bad_runtime (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1643 test_good (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1644 test_grad (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1645 test_grad_none (theano.tensor.tests.test_basic.ArccoshInplaceTester) ... ok #1646 test_bad_build (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1647 test_bad_runtime (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1648 test_good (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1649 test_grad (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1650 test_grad_none (theano.tensor.tests.test_basic.ArccoshTester) ... ok #1651 test_bad_build (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1652 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1653 test_good (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1654 test_grad (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1655 test_grad_none (theano.tensor.tests.test_basic.ArcsinInplaceTester) ... ok #1656 test_bad_build (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1657 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1658 test_good (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1659 test_grad (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1660 test_grad_none (theano.tensor.tests.test_basic.ArcsinTester) ... ok #1661 test_bad_build (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1662 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1663 test_good (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1664 test_grad (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1665 test_grad_none (theano.tensor.tests.test_basic.ArcsinhInplaceTester) ... ok #1666 test_bad_build (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1667 test_bad_runtime (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1668 test_good (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1669 test_grad (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1670 test_grad_none (theano.tensor.tests.test_basic.ArcsinhTester) ... ok #1671 test_bad_build (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1672 test_bad_runtime (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1673 test_good (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1674 test_grad (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1675 test_grad_none (theano.tensor.tests.test_basic.Arctan2InplaceTester) ... ok #1676 test_bad_build (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1677 test_bad_runtime (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1678 test_good (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1679 test_grad (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1680 test_grad_none (theano.tensor.tests.test_basic.Arctan2Tester) ... ok #1681 test_bad_build (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1682 test_bad_runtime (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1683 test_good (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1684 test_grad (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1685 test_grad_none (theano.tensor.tests.test_basic.ArctanInplaceTester) ... ok #1686 test_bad_build (theano.tensor.tests.test_basic.ArctanTester) ... ok #1687 test_bad_runtime (theano.tensor.tests.test_basic.ArctanTester) ... ok #1688 test_good (theano.tensor.tests.test_basic.ArctanTester) ... ok #1689 test_grad (theano.tensor.tests.test_basic.ArctanTester) ... ok #1690 test_grad_none (theano.tensor.tests.test_basic.ArctanTester) ... ok #1691 test_bad_build (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1692 test_bad_runtime (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1693 test_good (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1694 test_grad (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1695 test_grad_none (theano.tensor.tests.test_basic.ArctanhInplaceTester) ... ok #1696 test_bad_build (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1697 test_bad_runtime (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1698 test_good (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1699 test_grad (theano.tensor.tests.test_basic.ArctanhTester) ... ok #1700 test_grad_none (theano.tensor.tests.test_basic.ArctanhTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 295.634s OK 37% done in 301.909s (failed: 0) #1701 test_bad_build (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1702 test_bad_runtime (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1703 test_good (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1704 test_grad (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1705 test_grad_none (theano.tensor.tests.test_basic.BatchedDotTester) ... ok #1706 test_cast_from_complex_to_real_raises_error (theano.tensor.tests.test_basic.CastTester) ... ok #1707 test_cast_from_real_to_complex (theano.tensor.tests.test_basic.CastTester) ... ok #1708 test_good_between_real_types (theano.tensor.tests.test_basic.CastTester) ... ok #1709 test_bad_build (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1710 test_bad_runtime (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1711 test_good (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1712 test_grad (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1713 test_grad_none (theano.tensor.tests.test_basic.CeilInplaceTester) ... ok #1714 test_bad_build (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1715 test_bad_runtime (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1716 test_good (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1717 test_grad (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1718 test_grad_none (theano.tensor.tests.test_basic.CeilIntDivTester) ... ok #1719 test_bad_build (theano.tensor.tests.test_basic.CeilTester) ... ok #1720 test_bad_runtime (theano.tensor.tests.test_basic.CeilTester) ... ok #1721 test_good (theano.tensor.tests.test_basic.CeilTester) ... ok #1722 test_grad (theano.tensor.tests.test_basic.CeilTester) ... ok #1723 test_grad_none (theano.tensor.tests.test_basic.CeilTester) ... ok #1724 test_bad_build (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1725 test_bad_runtime (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1726 test_good (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1727 test_grad (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1728 test_grad_none (theano.tensor.tests.test_basic.Chi2SFTester) ... ok #1729 test_bad_build (theano.tensor.tests.test_basic.ClipTester) ... ok #1730 test_bad_runtime (theano.tensor.tests.test_basic.ClipTester) ... ok #1731 test_good (theano.tensor.tests.test_basic.ClipTester) ... ok #1732 test_grad (theano.tensor.tests.test_basic.ClipTester) ... ok #1733 test_grad_none (theano.tensor.tests.test_basic.ClipTester) ... ok #1734 test_bad_build (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1735 test_bad_runtime (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1736 test_good (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1737 test_grad (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1738 test_grad_none (theano.tensor.tests.test_basic.ComplexFromPolarTester) ... ok #1739 test_bad_build (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1740 test_bad_runtime (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1741 test_good (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1742 test_grad (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1743 test_grad_none (theano.tensor.tests.test_basic.ConjInplaceTester) ... ok #1744 test_bad_build (theano.tensor.tests.test_basic.ConjTester) ... ok #1745 test_bad_runtime (theano.tensor.tests.test_basic.ConjTester) ... ok #1746 test_good (theano.tensor.tests.test_basic.ConjTester) ... ok #1747 test_grad (theano.tensor.tests.test_basic.ConjTester) ... ok #1748 test_grad_none (theano.tensor.tests.test_basic.ConjTester) ... ok #1749 test_bad_build (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1750 test_bad_runtime (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1751 test_good (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1752 test_grad (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1753 test_grad_none (theano.tensor.tests.test_basic.CosInplaceTester) ... ok #1754 test_bad_build (theano.tensor.tests.test_basic.CosTester) ... ok #1755 test_bad_runtime (theano.tensor.tests.test_basic.CosTester) ... ok #1756 test_good (theano.tensor.tests.test_basic.CosTester) ... ok #1757 test_grad (theano.tensor.tests.test_basic.CosTester) ... ok #1758 test_grad_none (theano.tensor.tests.test_basic.CosTester) ... ok #1759 test_bad_build (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1760 test_bad_runtime (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1761 test_good (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1762 test_grad (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1763 test_grad_none (theano.tensor.tests.test_basic.CoshInplaceTester) ... ok #1764 test_bad_build (theano.tensor.tests.test_basic.CoshTester) ... ok #1765 test_bad_runtime (theano.tensor.tests.test_basic.CoshTester) ... ok #1766 test_good (theano.tensor.tests.test_basic.CoshTester) ... ok #1767 test_grad (theano.tensor.tests.test_basic.CoshTester) ... ok #1768 test_grad_none (theano.tensor.tests.test_basic.CoshTester) ... ok #1769 test_bad_build (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1770 test_bad_runtime (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1771 test_good (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1772 test_grad (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1773 test_grad_none (theano.tensor.tests.test_basic.Deg2radInplaceTester) ... ok #1774 test_bad_build (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1775 test_bad_runtime (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1776 test_good (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1777 test_grad (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1778 test_grad_none (theano.tensor.tests.test_basic.Deg2radTester) ... ok #1779 test_bad_build (theano.tensor.tests.test_basic.DotTester) ... ok #1780 test_bad_runtime (theano.tensor.tests.test_basic.DotTester) ... ok #1781 test_good (theano.tensor.tests.test_basic.DotTester) ... ok #1782 test_grad (theano.tensor.tests.test_basic.DotTester) ... ok #1783 test_grad_none (theano.tensor.tests.test_basic.DotTester) ... ok #1784 test_bad_build (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1785 test_bad_runtime (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1786 test_good (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1787 test_grad (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1788 test_grad_none (theano.tensor.tests.test_basic.ErfInplaceTester) ... ok #1789 test_bad_build (theano.tensor.tests.test_basic.ErfTester) ... ok #1790 test_bad_runtime (theano.tensor.tests.test_basic.ErfTester) ... ok #1791 test_good (theano.tensor.tests.test_basic.ErfTester) ... ok #1792 test_grad (theano.tensor.tests.test_basic.ErfTester) ... ok #1793 test_grad_none (theano.tensor.tests.test_basic.ErfTester) ... ok #1794 test_bad_build (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1795 test_bad_runtime (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1796 test_good (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1797 test_grad (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1798 test_grad_none (theano.tensor.tests.test_basic.ErfcInplaceTester) ... ok #1799 test_bad_build (theano.tensor.tests.test_basic.ErfcTester) ... ok #1800 test_bad_runtime (theano.tensor.tests.test_basic.ErfcTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 381.046s OK 40% done in 387.377s (failed: 0) #1801 test_good (theano.tensor.tests.test_basic.ErfcTester) ... ok #1802 test_grad (theano.tensor.tests.test_basic.ErfcTester) ... ok #1803 test_grad_none (theano.tensor.tests.test_basic.ErfcTester) ... ok #1804 test_bad_build (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1805 test_bad_runtime (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1806 test_good (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1807 test_grad (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1808 test_grad_none (theano.tensor.tests.test_basic.ErfcinvTester) ... ok #1809 test_bad_build (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1810 test_bad_runtime (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1811 test_good (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1812 test_grad (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1813 test_grad_none (theano.tensor.tests.test_basic.ErfcxInplaceTester) ... ok #1814 test_bad_build (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1815 test_bad_runtime (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1816 test_good (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1817 test_grad (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1818 test_grad_none (theano.tensor.tests.test_basic.ErfcxTester) ... ok #1819 test_bad_build (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1820 test_bad_runtime (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1821 test_good (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1822 test_grad (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1823 test_grad_none (theano.tensor.tests.test_basic.ErfinvTester) ... ok #1824 test_bad_build (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1825 test_bad_runtime (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1826 test_good (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1827 test_grad (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1828 test_grad_none (theano.tensor.tests.test_basic.Exp2InplaceTester) ... ok #1829 test_bad_build (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1830 test_bad_runtime (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1831 test_good (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1832 test_grad (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1833 test_grad_none (theano.tensor.tests.test_basic.Exp2Tester) ... ok #1834 test_bad_build (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1835 test_bad_runtime (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1836 test_good (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1837 test_grad (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1838 test_grad_none (theano.tensor.tests.test_basic.ExpInplaceTester) ... ok #1839 test_bad_build (theano.tensor.tests.test_basic.ExpTester) ... ok #1840 test_bad_runtime (theano.tensor.tests.test_basic.ExpTester) ... ok #1841 test_good (theano.tensor.tests.test_basic.ExpTester) ... ok #1842 test_grad (theano.tensor.tests.test_basic.ExpTester) ... ok #1843 test_grad_none (theano.tensor.tests.test_basic.ExpTester) ... ok #1844 test_bad_build (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1845 test_bad_runtime (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1846 test_good (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1847 test_grad (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1848 test_grad_none (theano.tensor.tests.test_basic.Expm1InplaceTester) ... ok #1849 test_bad_build (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1850 test_bad_runtime (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1851 test_good (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1852 test_grad (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1853 test_grad_none (theano.tensor.tests.test_basic.Expm1Tester) ... ok #1854 test_bad_build (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1855 test_bad_runtime (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1856 test_good (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1857 test_grad (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1858 test_grad_none (theano.tensor.tests.test_basic.FloorInplaceTester) ... ok #1859 test_bad_build (theano.tensor.tests.test_basic.FloorTester) ... ok #1860 test_bad_runtime (theano.tensor.tests.test_basic.FloorTester) ... ok #1861 test_good (theano.tensor.tests.test_basic.FloorTester) ... ok #1862 test_grad (theano.tensor.tests.test_basic.FloorTester) ... ok #1863 test_grad_none (theano.tensor.tests.test_basic.FloorTester) ... ok #1864 test_bad_build (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1865 test_bad_runtime (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1866 test_good (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1867 test_grad (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1868 test_grad_none (theano.tensor.tests.test_basic.GammaInplaceTester) ... ok #1869 test_bad_build (theano.tensor.tests.test_basic.GammaTester) ... ok #1870 test_bad_runtime (theano.tensor.tests.test_basic.GammaTester) ... ok #1871 test_good (theano.tensor.tests.test_basic.GammaTester) ... ok #1872 test_grad (theano.tensor.tests.test_basic.GammaTester) ... ok #1873 test_grad_none (theano.tensor.tests.test_basic.GammaTester) ... ok #1874 test_bad_build (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1875 test_bad_runtime (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1876 test_good (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1877 test_grad (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1878 test_grad_none (theano.tensor.tests.test_basic.GammalnInplaceTester) ... ok #1879 test_bad_build (theano.tensor.tests.test_basic.GammalnTester) ... ok #1880 test_bad_runtime (theano.tensor.tests.test_basic.GammalnTester) ... ok #1881 test_good (theano.tensor.tests.test_basic.GammalnTester) ... ok #1882 test_grad (theano.tensor.tests.test_basic.GammalnTester) ... ok #1883 test_grad_none (theano.tensor.tests.test_basic.GammalnTester) ... ok #1884 test_bad_build (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1885 test_bad_runtime (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1886 test_good (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1887 test_grad (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1888 test_grad_none (theano.tensor.tests.test_basic.I0InplaceTester) ... ok #1889 test_bad_build (theano.tensor.tests.test_basic.I0Tester) ... ok #1890 test_bad_runtime (theano.tensor.tests.test_basic.I0Tester) ... ok #1891 test_good (theano.tensor.tests.test_basic.I0Tester) ... ok #1892 test_grad (theano.tensor.tests.test_basic.I0Tester) ... ok #1893 test_grad_none (theano.tensor.tests.test_basic.I0Tester) ... ok #1894 test_bad_build (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1895 test_bad_runtime (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1896 test_good (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1897 test_grad (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1898 test_grad_none (theano.tensor.tests.test_basic.I1InplaceTester) ... ok #1899 test_bad_build (theano.tensor.tests.test_basic.I1Tester) ... ok #1900 test_bad_runtime (theano.tensor.tests.test_basic.I1Tester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 231.467s OK 42% done in 237.797s (failed: 0) #1901 test_good (theano.tensor.tests.test_basic.I1Tester) ... ok #1902 test_grad (theano.tensor.tests.test_basic.I1Tester) ... ok #1903 test_grad_none (theano.tensor.tests.test_basic.I1Tester) ... ok #1904 test_bad_build (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1905 test_bad_runtime (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1906 test_good (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1907 test_grad (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1908 test_grad_none (theano.tensor.tests.test_basic.IntDivInplaceTester) ... ok #1909 test_bad_build (theano.tensor.tests.test_basic.IntDivTester) ... ok #1910 test_bad_runtime (theano.tensor.tests.test_basic.IntDivTester) ... ok #1911 test_good (theano.tensor.tests.test_basic.IntDivTester) ... ok #1912 test_grad (theano.tensor.tests.test_basic.IntDivTester) ... ok #1913 test_grad_none (theano.tensor.tests.test_basic.IntDivTester) ... ok #1914 test_bad_build (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1915 test_bad_runtime (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1916 test_good (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1917 test_grad (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1918 test_grad_none (theano.tensor.tests.test_basic.InvInplaceTester) ... ok #1919 test_bad_build (theano.tensor.tests.test_basic.InvTester) ... ok #1920 test_bad_runtime (theano.tensor.tests.test_basic.InvTester) ... ok #1921 test_good (theano.tensor.tests.test_basic.InvTester) ... ok #1922 test_grad (theano.tensor.tests.test_basic.InvTester) ... ok #1923 test_grad_none (theano.tensor.tests.test_basic.InvTester) ... ok #1924 test_bad_build (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1925 test_bad_runtime (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1926 test_good (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1927 test_grad (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1928 test_grad_none (theano.tensor.tests.test_basic.IvInplaceTester) ... ok #1929 test_bad_build (theano.tensor.tests.test_basic.IvTester) ... ok #1930 test_bad_runtime (theano.tensor.tests.test_basic.IvTester) ... ok #1931 test_good (theano.tensor.tests.test_basic.IvTester) ... ok #1932 test_grad (theano.tensor.tests.test_basic.IvTester) ... ok #1933 test_grad_none (theano.tensor.tests.test_basic.IvTester) ... ok #1934 test_bad_build (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1935 test_bad_runtime (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1936 test_good (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1937 test_grad (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1938 test_grad_none (theano.tensor.tests.test_basic.J0InplaceTester) ... ok #1939 test_bad_build (theano.tensor.tests.test_basic.J0Tester) ... ok #1940 test_bad_runtime (theano.tensor.tests.test_basic.J0Tester) ... ok #1941 test_good (theano.tensor.tests.test_basic.J0Tester) ... ok #1942 test_grad (theano.tensor.tests.test_basic.J0Tester) ... ok #1943 test_grad_none (theano.tensor.tests.test_basic.J0Tester) ... ok #1944 test_bad_build (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1945 test_bad_runtime (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1946 test_good (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1947 test_grad (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1948 test_grad_none (theano.tensor.tests.test_basic.J1InplaceTester) ... ok #1949 test_bad_build (theano.tensor.tests.test_basic.J1Tester) ... ok #1950 test_bad_runtime (theano.tensor.tests.test_basic.J1Tester) ... ok #1951 test_good (theano.tensor.tests.test_basic.J1Tester) ... ok #1952 test_grad (theano.tensor.tests.test_basic.J1Tester) ... ok #1953 test_grad_none (theano.tensor.tests.test_basic.J1Tester) ... ok #1954 test_bad_build (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1955 test_bad_runtime (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1956 test_good (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1957 test_grad (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1958 test_grad_none (theano.tensor.tests.test_basic.JvInplaceTester) ... ok #1959 test_bad_build (theano.tensor.tests.test_basic.JvTester) ... ok #1960 test_bad_runtime (theano.tensor.tests.test_basic.JvTester) ... ok #1961 test_good (theano.tensor.tests.test_basic.JvTester) ... ok #1962 test_grad (theano.tensor.tests.test_basic.JvTester) ... ok #1963 test_grad_none (theano.tensor.tests.test_basic.JvTester) ... ok #1964 test_bad_build (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1965 test_bad_runtime (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1966 test_good (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1967 test_grad (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1968 test_grad_none (theano.tensor.tests.test_basic.Log10InplaceTester) ... ok #1969 test_bad_build (theano.tensor.tests.test_basic.Log10Tester) ... ok #1970 test_bad_runtime (theano.tensor.tests.test_basic.Log10Tester) ... ok #1971 test_good (theano.tensor.tests.test_basic.Log10Tester) ... ok #1972 test_grad (theano.tensor.tests.test_basic.Log10Tester) ... ok #1973 test_grad_none (theano.tensor.tests.test_basic.Log10Tester) ... ok #1974 test_bad_build (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1975 test_bad_runtime (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1976 test_good (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1977 test_grad (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1978 test_grad_none (theano.tensor.tests.test_basic.Log1pInplaceTester) ... ok #1979 test_bad_build (theano.tensor.tests.test_basic.Log1pTester) ... ok #1980 test_bad_runtime (theano.tensor.tests.test_basic.Log1pTester) ... ok #1981 test_good (theano.tensor.tests.test_basic.Log1pTester) ... ok #1982 test_grad (theano.tensor.tests.test_basic.Log1pTester) ... ok #1983 test_grad_none (theano.tensor.tests.test_basic.Log1pTester) ... ok #1984 test_bad_build (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1985 test_bad_runtime (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1986 test_good (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1987 test_grad (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1988 test_grad_none (theano.tensor.tests.test_basic.Log2InplaceTester) ... ok #1989 test_bad_build (theano.tensor.tests.test_basic.Log2Tester) ... ok #1990 test_bad_runtime (theano.tensor.tests.test_basic.Log2Tester) ... ok #1991 test_good (theano.tensor.tests.test_basic.Log2Tester) ... ok #1992 test_grad (theano.tensor.tests.test_basic.Log2Tester) ... ok #1993 test_grad_none (theano.tensor.tests.test_basic.Log2Tester) ... ok #1994 test_bad_build (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1995 test_bad_runtime (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1996 test_good (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1997 test_grad (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1998 test_grad_none (theano.tensor.tests.test_basic.LogInplaceTester) ... ok #1999 test_bad_build (theano.tensor.tests.test_basic.LogTester) ... ok #2000 test_bad_runtime (theano.tensor.tests.test_basic.LogTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 275.739s OK 44% done in 282.095s (failed: 0) #2001 test_good (theano.tensor.tests.test_basic.LogTester) ... ok #2002 test_grad (theano.tensor.tests.test_basic.LogTester) ... ok #2003 test_grad_none (theano.tensor.tests.test_basic.LogTester) ... ok #2004 test_bad_build (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2005 test_bad_runtime (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2006 test_good (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2007 test_grad (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2008 test_grad_none (theano.tensor.tests.test_basic.MaximumInplaceTester) ... ok #2009 test_bad_build (theano.tensor.tests.test_basic.MaximumTester) ... ok #2010 test_bad_runtime (theano.tensor.tests.test_basic.MaximumTester) ... ok #2011 test_good (theano.tensor.tests.test_basic.MaximumTester) ... ok #2012 test_grad (theano.tensor.tests.test_basic.MaximumTester) ... ok #2013 test_grad_none (theano.tensor.tests.test_basic.MaximumTester) ... ok #2014 test_bad_build (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2015 test_bad_runtime (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2016 test_good (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2017 test_grad (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2018 test_grad_none (theano.tensor.tests.test_basic.MinimumInplaceTester) ... ok #2019 test_bad_build (theano.tensor.tests.test_basic.MinimumTester) ... ok #2020 test_bad_runtime (theano.tensor.tests.test_basic.MinimumTester) ... ok #2021 test_good (theano.tensor.tests.test_basic.MinimumTester) ... ok #2022 test_grad (theano.tensor.tests.test_basic.MinimumTester) ... ok #2023 test_grad_none (theano.tensor.tests.test_basic.MinimumTester) ... ok #2024 test_bad_build (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2025 test_bad_runtime (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2026 test_good (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2027 test_grad (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2028 test_grad_none (theano.tensor.tests.test_basic.ModInplaceTester) ... ok #2029 test_bad_build (theano.tensor.tests.test_basic.ModTester) ... ok #2030 test_bad_runtime (theano.tensor.tests.test_basic.ModTester) ... ok #2031 test_good (theano.tensor.tests.test_basic.ModTester) ... ok #2032 test_grad (theano.tensor.tests.test_basic.ModTester) ... ok #2033 test_grad_none (theano.tensor.tests.test_basic.ModTester) ... ok #2034 test_bad_build (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2035 test_bad_runtime (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2036 test_good (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2037 test_grad (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2038 test_grad_none (theano.tensor.tests.test_basic.MulInplaceTester) ... ok #2039 test_bad_build (theano.tensor.tests.test_basic.MulTester) ... ok #2040 test_bad_runtime (theano.tensor.tests.test_basic.MulTester) ... ok #2041 test_good (theano.tensor.tests.test_basic.MulTester) ... ok #2042 test_grad (theano.tensor.tests.test_basic.MulTester) ... ok #2043 test_grad_none (theano.tensor.tests.test_basic.MulTester) ... ok #2044 test_bad_build (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2045 test_bad_runtime (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2046 test_good (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2047 test_grad (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2048 test_grad_none (theano.tensor.tests.test_basic.NegInplaceTester) ... ok #2049 test_bad_build (theano.tensor.tests.test_basic.NegTester) ... ok #2050 test_bad_runtime (theano.tensor.tests.test_basic.NegTester) ... ok #2051 test_good (theano.tensor.tests.test_basic.NegTester) ... ok #2052 test_grad (theano.tensor.tests.test_basic.NegTester) ... ok #2053 test_grad_none (theano.tensor.tests.test_basic.NegTester) ... ok #2054 test_bad_build (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2055 test_bad_runtime (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2056 test_good (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2057 test_grad (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2058 test_grad_none (theano.tensor.tests.test_basic.OnesLikeTester) ... ok #2059 test_bad_build (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2060 test_bad_runtime (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2061 test_good (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2062 test_grad (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2063 test_grad_none (theano.tensor.tests.test_basic.PowInplaceTester) ... ok #2064 test_bad_build (theano.tensor.tests.test_basic.PowTester) ... ok #2065 test_bad_runtime (theano.tensor.tests.test_basic.PowTester) ... ok #2066 test_good (theano.tensor.tests.test_basic.PowTester) ... ok #2067 test_grad (theano.tensor.tests.test_basic.PowTester) ... ok #2068 test_grad_none (theano.tensor.tests.test_basic.PowTester) ... ok #2069 test_bad_build (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2070 test_bad_runtime (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2071 test_good (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2072 test_grad (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2073 test_grad_none (theano.tensor.tests.test_basic.PsiInplaceTester) ... ok #2074 test_bad_build (theano.tensor.tests.test_basic.PsiTester) ... ok #2075 test_bad_runtime (theano.tensor.tests.test_basic.PsiTester) ... ok #2076 test_good (theano.tensor.tests.test_basic.PsiTester) ... ok #2077 test_grad (theano.tensor.tests.test_basic.PsiTester) ... ok #2078 test_grad_none (theano.tensor.tests.test_basic.PsiTester) ... ok #2079 test_bad_build (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2080 test_bad_runtime (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2081 test_good (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2082 test_grad (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2083 test_grad_none (theano.tensor.tests.test_basic.Rad2degInplaceTester) ... ok #2084 test_bad_build (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2085 test_bad_runtime (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2086 test_good (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2087 test_grad (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2088 test_grad_none (theano.tensor.tests.test_basic.Rad2degTester) ... ok #2089 test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2090 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2091 test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2092 test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2093 test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroInplaceTester) ... ok #2094 test_bad_build (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2095 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2096 test_good (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2097 test_grad (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2098 test_grad_none (theano.tensor.tests.test_basic.RoundHalfAwayFromZeroTester) ... ok #2099 test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2100 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 601.849s OK 46% done in 608.329s (failed: 0) #2101 test_good (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2102 test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2103 test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenInplaceTester) ... ok #2104 test_bad_build (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2105 test_bad_runtime (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2106 test_good (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2107 test_grad (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2108 test_grad_none (theano.tensor.tests.test_basic.RoundHalfToEvenTester) ... ok #2109 test_bad_build (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2110 test_bad_runtime (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2111 test_good (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2112 test_grad (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2113 test_grad_none (theano.tensor.tests.test_basic.SecondBroadcastTester) ... ok #2114 test_bad_build (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2115 test_bad_runtime (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2116 test_good (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2117 test_grad (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2118 test_grad_none (theano.tensor.tests.test_basic.SecondSameRankTester) ... ok #2119 test_bad_build (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2120 test_bad_runtime (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2121 test_good (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2122 test_grad (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2123 test_grad_none (theano.tensor.tests.test_basic.SgnInplaceTester) ... ok #2124 test_bad_build (theano.tensor.tests.test_basic.SgnTester) ... ok #2125 test_bad_runtime (theano.tensor.tests.test_basic.SgnTester) ... ok #2126 test_good (theano.tensor.tests.test_basic.SgnTester) ... ok #2127 test_grad (theano.tensor.tests.test_basic.SgnTester) ... ok #2128 test_grad_none (theano.tensor.tests.test_basic.SgnTester) ... ok #2129 test_bad_build (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2130 test_bad_runtime (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2131 test_good (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2132 test_grad (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2133 test_grad_none (theano.tensor.tests.test_basic.SinInplaceTester) ... ok #2134 test_bad_build (theano.tensor.tests.test_basic.SinTester) ... ok #2135 test_bad_runtime (theano.tensor.tests.test_basic.SinTester) ... ok #2136 test_good (theano.tensor.tests.test_basic.SinTester) ... ok #2137 test_grad (theano.tensor.tests.test_basic.SinTester) ... ok #2138 test_grad_none (theano.tensor.tests.test_basic.SinTester) ... ok #2139 test_bad_build (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2140 test_bad_runtime (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2141 test_good (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2142 test_grad (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2143 test_grad_none (theano.tensor.tests.test_basic.SinhInplaceTester) ... ok #2144 test_bad_build (theano.tensor.tests.test_basic.SinhTester) ... ok #2145 test_bad_runtime (theano.tensor.tests.test_basic.SinhTester) ... ok #2146 test_good (theano.tensor.tests.test_basic.SinhTester) ... ok #2147 test_grad (theano.tensor.tests.test_basic.SinhTester) ... ok #2148 test_grad_none (theano.tensor.tests.test_basic.SinhTester) ... ok #2149 test_bad_build (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2150 test_bad_runtime (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2151 test_good (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2152 test_grad (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2153 test_grad_none (theano.tensor.tests.test_basic.SqrInplaceTester) ... ok #2154 test_bad_build (theano.tensor.tests.test_basic.SqrTester) ... ok #2155 test_bad_runtime (theano.tensor.tests.test_basic.SqrTester) ... ok #2156 test_good (theano.tensor.tests.test_basic.SqrTester) ... ok #2157 test_grad (theano.tensor.tests.test_basic.SqrTester) ... ok #2158 test_grad_none (theano.tensor.tests.test_basic.SqrTester) ... ok #2159 test_bad_build (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2160 test_bad_runtime (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2161 test_good (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2162 test_grad (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2163 test_grad_none (theano.tensor.tests.test_basic.SqrtInplaceTester) ... ok #2164 test_bad_build (theano.tensor.tests.test_basic.SqrtTester) ... ok #2165 test_bad_runtime (theano.tensor.tests.test_basic.SqrtTester) ... ok #2166 test_good (theano.tensor.tests.test_basic.SqrtTester) ... ok #2167 test_grad (theano.tensor.tests.test_basic.SqrtTester) ... ok #2168 test_grad_none (theano.tensor.tests.test_basic.SqrtTester) ... ok #2169 test_bad_build (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2170 test_bad_runtime (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2171 test_good (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2172 test_grad (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2173 test_grad_none (theano.tensor.tests.test_basic.SubInplaceTester) ... ok #2174 test_bad_build (theano.tensor.tests.test_basic.SubTester) ... ok #2175 test_bad_runtime (theano.tensor.tests.test_basic.SubTester) ... ok #2176 test_good (theano.tensor.tests.test_basic.SubTester) ... ok #2177 test_grad (theano.tensor.tests.test_basic.SubTester) ... ok #2178 test_grad_none (theano.tensor.tests.test_basic.SubTester) ... ok #2179 test_bad_build (theano.tensor.tests.test_basic.SwitchTester) ... ok #2180 test_bad_runtime (theano.tensor.tests.test_basic.SwitchTester) ... ok #2181 test_good (theano.tensor.tests.test_basic.SwitchTester) ... ok #2182 test_grad (theano.tensor.tests.test_basic.SwitchTester) ... ok #2183 test_grad_none (theano.tensor.tests.test_basic.SwitchTester) ... ok #2184 test_broadcasted (theano.tensor.tests.test_basic.T_Choose) ... ok #2185 test_dtype_error (theano.tensor.tests.test_basic.T_Choose) ... ok #2186 test_infer_shape (theano.tensor.tests.test_basic.T_Choose) ... ok #2187 test_method (theano.tensor.tests.test_basic.T_Choose) ... ok #2188 test_numpy_compare (theano.tensor.tests.test_basic.T_Choose) ... ok #2189 test_numpy_compare_tuple (theano.tensor.tests.test_basic.T_Choose) ... ok #2190 test_clip_repeat_grad (theano.tensor.tests.test_basic.T_Clip) ... ok #2191 test_clip_repeat_verify_grad (theano.tensor.tests.test_basic.T_Clip) ... ok #2192 test_complex_value (theano.tensor.tests.test_basic.T_Clip) ... ok #2193 test_get_vector_length (theano.tensor.tests.test_basic.T_GetVectorLength) ... ok #2194 test_broadcastable_flag_assignment_mixed_otheraxes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2195 test_broadcastable_flag_assignment_mixed_thisaxes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2196 test_broadcastable_flags_all_broadcastable_on_joinaxis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2197 test_broadcastable_flags_many_dims_and_inputs (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2198 test_broadcastable_single_input_broadcastable_dimension (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2199 test_concatenate_same (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2200 test_infer_shape_join (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok ---------------------------------------------------------------------- Ran 100 tests in 884.003s OK 49% done in 890.612s (failed: 0) #2201 test_join_concatenate_one_element (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2202 test_join_matrix0 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2203 test_join_matrix1 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2204 test_join_matrix1_using_horizontal_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2205 test_join_matrix1_using_vertical_stack (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2206 test_join_matrixC_negative_axis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2207 test_join_matrixV (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2208 test_join_matrixV_negative_axis (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2209 test_join_matrix_dtypes (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2210 test_join_matrix_ints (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2211 test_join_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2212 test_join_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2213 test_mixed_ndim_error (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2214 test_rebroadcast (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2215 test_roll (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2216 test_split_0elem (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2217 test_split_neg (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2218 test_stack_hessian (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2219 test_stack_hessian2 (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2220 test_stack_mixed_type_constants (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2221 test_stack_new_interface (theano.tensor.tests.test_basic.T_Join_and_Split) ... /usr/lib/python3.7/unittest/case.py:615: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead. testMethod() ok #2222 test_stack_scalar (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2223 test_stack_scalar_make_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2224 test_stack_scalar_make_vector_constant (theano.tensor.tests.test_basic.T_Join_and_Split) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2225 test_stack_scalar_make_vector_dtype (theano.tensor.tests.test_basic.T_Join_and_Split) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2226 test_stack_vector (theano.tensor.tests.test_basic.T_Join_and_Split) ... ok #2227 test_vector_len (theano.tensor.tests.test_basic.T_Join_and_Split) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2228 test_multiple_power (theano.tensor.tests.test_basic.T_Power) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2229 test_numpy_compare (theano.tensor.tests.test_basic.T_Power) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2230 test_wrong_shape (theano.tensor.tests.test_basic.T_Power) ... ok #2231 test_basic0 (theano.tensor.tests.test_basic.T_Shape) ... ok #2232 test_basic1 (theano.tensor.tests.test_basic.T_Shape) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2233 test_basic2 (theano.tensor.tests.test_basic.T_Shape) ... ok #2234 test_complex_all_ops (theano.tensor.tests.test_basic.T_add) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2235 test_grad_col (theano.tensor.tests.test_basic.T_add) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2236 test_grad_row (theano.tensor.tests.test_basic.T_add) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2237 test_grad_scalar_l (theano.tensor.tests.test_basic.T_add) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2238 test_grad_scalar_r (theano.tensor.tests.test_basic.T_add) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2239 test2 (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2240 test2_float16 (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2241 test2_invalid (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2242 test2_invalid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2243 test2_valid_neg (theano.tensor.tests.test_basic.T_argmin_argmax) ... ok #2244 test3 (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2245 test_bool (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2246 test_grad_argmax (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2247 test_grad_argmin (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2248 test_list (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2249 test_scalar (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2250 test_uint (theano.tensor.tests.test_basic.T_argmin_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2251 test_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2252 test_empty_dtype (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2253 test_memmap (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2254 test_ndarray_bool (theano.tensor.tests.test_basic.T_as_tensor_variable) ... ok #2255 test_complex (theano.tensor.tests.test_basic.T_ceil) ... ok #2256 test_impls (theano.tensor.tests.test_basic.T_divimpl) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2257 test_complex (theano.tensor.tests.test_basic.T_exp) ... ok #2258 test_grad_0 (theano.tensor.tests.test_basic.T_exp) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2259 test_grad_1 (theano.tensor.tests.test_basic.T_exp) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2260 test_int (theano.tensor.tests.test_basic.T_exp) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2261 test_assert (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2262 test_copy (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2263 test_elemwise (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2264 test_get_scalar_constant_value (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2265 test_make_vector (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2266 test_numpy_array (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2267 test_second (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2268 test_shape_i (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2269 test_subtensor_of_constant (theano.tensor.tests.test_basic.T_get_scalar_constant_value) ... ok #2270 test_fit_int64 (theano.tensor.tests.test_basic.T_long_tensor) ... ok #2271 test_too_big (theano.tensor.tests.test_basic.T_long_tensor) ... ok #2272 test0 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2273 test1 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2274 test2 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2275 test2_float16 (theano.tensor.tests.test_basic.T_max_and_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2276 test2_invalid (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2277 test2_invalid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2278 test2_valid_neg (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2279 test3 (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2280 test_arg_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2281 test_grad (theano.tensor.tests.test_basic.T_max_and_argmax) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2282 test_multiple_axes (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2283 test_numpy_input (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2284 test_preserve_broadcastable (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2285 test_zero_shape (theano.tensor.tests.test_basic.T_max_and_argmax) ... ok #2286 test0 (theano.tensor.tests.test_basic.T_mean) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2287 test_list (theano.tensor.tests.test_basic.T_mean) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2288 test_mean_f16 (theano.tensor.tests.test_basic.T_mean) ... ok #2289 test_regression_mean_of_ndarray_failure (theano.tensor.tests.test_basic.T_mean) ... ok #2290 test2 (theano.tensor.tests.test_basic.T_min_max) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2291 test2_invalid (theano.tensor.tests.test_basic.T_min_max) ... ok #2292 test2_invalid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok #2293 test2_valid_neg (theano.tensor.tests.test_basic.T_min_max) ... ok #2294 test3 (theano.tensor.tests.test_basic.T_min_max) ... ok #2295 test3b (theano.tensor.tests.test_basic.T_min_max) ... ok #2296 test_bool (theano.tensor.tests.test_basic.T_min_max) ... ok #2297 test_grad_max (theano.tensor.tests.test_basic.T_min_max) ... ok #2298 test_grad_min (theano.tensor.tests.test_basic.T_min_max) ... /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") /build/theano-1.0.3+dfsg/theano/gof/cmodule.py:274: DeprecationWarning: SO is deprecated, use EXT_SUFFIX dist_suffix = distutils.sysconfig.get_config_var("SO") ok #2299 test_list (theano.tensor.tests.test_basic.T_min_max) ... ok #2300 test_scalar (theano.tensor.tests.test_basic.T_min_max) ... ok ---------------------------------------------------------------------- Ran 100 tests in 280.516s OK 51% done in 287.232s (failed: 0) #2301 test_uint (theano.tensor.tests.test_basic.T_min_max) ... ok #2302 test0 (theano.tensor.tests.test_basic.T_op_cache) ... ok #2303 test_grad (theano.tensor.tests.test_basic.T_outer) ... ok #2304 test_outer (theano.tensor.tests.test_basic.T_outer) ... ok #2305 test_0 (theano.tensor.tests.test_basic.T_reshape) ... ok #2306 test_bad_shape (theano.tensor.tests.test_basic.T_reshape) ... ok #2307 test_empty_shp (theano.tensor.tests.test_basic.T_reshape) ... ok #2308 test_m1 (theano.tensor.tests.test_basic.T_reshape) ... ok #2309 test_reshape (theano.tensor.tests.test_basic.T_reshape) ... ok #2310 test_reshape_long_in_shape (theano.tensor.tests.test_basic.T_reshape) ... ok #2311 test0 (theano.tensor.tests.test_basic.T_scalarfromtensor) ... ok #2312 test_list (theano.tensor.tests.test_basic.T_sum) ... ok #2313 test_sum_overflow (theano.tensor.tests.test_basic.T_sum) ... ok #2314 test_doubleswap (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2315 test_interface (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2316 test_no_dimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2317 test_not_enough_dimension (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2318 test_numpy_compare (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2319 test_unidimensional_input (theano.tensor.tests.test_basic.T_swapaxes) ... ok #2320 test0 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2321 test1 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2322 test2 (theano.tensor.tests.test_basic.T_tensorfromscalar) ... ok #2323 test_bad_build (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2324 test_bad_runtime (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2325 test_good (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2326 test_grad (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2327 test_grad_none (theano.tensor.tests.test_basic.TanInplaceTester) ... ok #2328 test_bad_build (theano.tensor.tests.test_basic.TanTester) ... ok #2329 test_bad_runtime (theano.tensor.tests.test_basic.TanTester) ... ok #2330 test_good (theano.tensor.tests.test_basic.TanTester) ... ok #2331 test_grad (theano.tensor.tests.test_basic.TanTester) ... ok #2332 test_grad_none (theano.tensor.tests.test_basic.TanTester) ... ok #2333 test_bad_build (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2334 test_bad_runtime (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2335 test_good (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2336 test_grad (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2337 test_grad_none (theano.tensor.tests.test_basic.TanhInplaceTester) ... ok #2338 test_bad_build (theano.tensor.tests.test_basic.TanhTester) ... ok #2339 test_bad_runtime (theano.tensor.tests.test_basic.TanhTester) ... ok #2340 test_good (theano.tensor.tests.test_basic.TanhTester) ... ok #2341 test_grad (theano.tensor.tests.test_basic.TanhTester) ... ok #2342 test_grad_none (theano.tensor.tests.test_basic.TanhTester) ... ok #2343 test_Op_integers (theano.tensor.tests.test_basic.TestARange) ... ok #2344 test_default_start (theano.tensor.tests.test_basic.TestARange) ... ok #2345 test_default_step (theano.tensor.tests.test_basic.TestARange) ... ok #2346 test_dtype_cache (theano.tensor.tests.test_basic.TestARange) ... ok #2347 test_float32 (theano.tensor.tests.test_basic.TestARange) ... ok #2348 test_float64 (theano.tensor.tests.test_basic.TestARange) ... ok #2349 test_grads (theano.tensor.tests.test_basic.TestARange) ... ok #2350 test_infer_shape (theano.tensor.tests.test_basic.TestARange) ... ok #2351 test_integers (theano.tensor.tests.test_basic.TestARange) ... ok #2352 test_upcast (theano.tensor.tests.test_basic.TestARange) ... ok #2353 test_alloc_constant_folding (theano.tensor.tests.test_basic.TestAlloc) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #2354 test_alloc_output (theano.tensor.tests.test_basic.TestAlloc) ... ok #2355 test_ones (theano.tensor.tests.test_basic.TestAlloc) ... ok #2356 test_zeros (theano.tensor.tests.test_basic.TestAlloc) ... ok #2357 test_alloc_diag_values (theano.tensor.tests.test_basic.TestAllocDiag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2358 test_above_output_len (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2359 test_below_zero_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2360 test_list (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2361 test_one_output (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2362 test_strip_leading_broadcastable (theano.tensor.tests.test_basic.TestAsTensorVariable) ... ok #2363 test_infer_shape (theano.tensor.tests.test_basic.TestInferShape) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x /build/theano-1.0.3+dfsg/theano/tensor/tests/test_basic.py:8227: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(advec, aivec_val)], /build/theano-1.0.3+dfsg/theano/tensor/tests/test_basic.py:8235: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(admat, aivec_val)], /build/theano-1.0.3+dfsg/theano/tensor/tests/test_basic.py:8243: UserWarning: Tile op is deprecated, use tile function instead. [Tile(ndim)(adtens4, aivec_val)], ok #2364 test_dim1 (theano.tensor.tests.test_basic.TestInversePermutation) ... ok #2365 test_dim2 (theano.tensor.tests.test_basic.TestInversePermutation) ... ok #2366 test_mgrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2367 test_mgrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2368 test_ogrid_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2369 test_ogrid_theano_variable_numpy_equiv (theano.tensor.tests.test_basic.TestNdGrid) ... ok #2370 test_1_1 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2371 test_1_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2372 test_2_1 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2373 test_2_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2374 test_3b_2 (theano.tensor.tests.test_basic.TestPermuteRowElements) ... ok #2375 test_bad_number_of_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok #2376 test_bad_shape (theano.tensor.tests.test_basic.TestSpecifyShape) ... ok #2377 test_argmax (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2378 test_argmin (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2379 test_argsort (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2380 test_clip (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2381 test_conj (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2382 test_cumprod (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2383 test_cumsum (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2384 test_diagonal (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2385 test_dot (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2386 test_ravel (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2387 test_real_imag (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2388 test_repeat (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2389 test_round (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2390 test_std (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2391 test_take (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2392 test_trace (theano.tensor.tests.test_basic.TestTensorInstanceMethods) ... ok #2393 test_bad_build (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2394 test_bad_runtime (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2395 test_good (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2396 test_grad (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2397 test_grad_none (theano.tensor.tests.test_basic.TriGammaInplaceTester) ... ok #2398 test_bad_build (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2399 test_bad_runtime (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2400 test_good (theano.tensor.tests.test_basic.TriGammaTester) ... ok ---------------------------------------------------------------------- Ran 100 tests in 280.815s OK 53% done in 287.464s (failed: 0) #2401 test_grad (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2402 test_grad_none (theano.tensor.tests.test_basic.TriGammaTester) ... ok #2403 test_bad_build (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2404 test_bad_runtime (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2405 test_good (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2406 test_grad (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2407 test_grad_none (theano.tensor.tests.test_basic.TrueDivInplaceTester) ... ok #2408 test_bad_build (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2409 test_bad_runtime (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2410 test_good (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2411 test_grad (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2412 test_grad_none (theano.tensor.tests.test_basic.TrueDivTester) ... ok #2413 test_bad_build (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2414 test_bad_runtime (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2415 test_good (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2416 test_grad (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2417 test_grad_none (theano.tensor.tests.test_basic.TruncInplaceTester) ... ok #2418 test_bad_build (theano.tensor.tests.test_basic.TruncTester) ... ok #2419 test_bad_runtime (theano.tensor.tests.test_basic.TruncTester) ... ok #2420 test_good (theano.tensor.tests.test_basic.TruncTester) ... ok #2421 test_grad (theano.tensor.tests.test_basic.TruncTester) ... ok #2422 test_grad_none (theano.tensor.tests.test_basic.TruncTester) ... ok #2423 test_bad_build (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2424 test_bad_runtime (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2425 test_good (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2426 test_grad (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2427 test_grad_none (theano.tensor.tests.test_basic.ZerosLikeTester) ... ok #2428 test_Op_dims (theano.tensor.tests.test_basic.t_dot) ... ok #2429 test_align_1_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2430 test_align_1_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2431 test_align_1_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2432 test_align_2_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2433 test_align_2_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2434 test_align_2_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2435 test_align_3_1 (theano.tensor.tests.test_basic.t_dot) ... ok #2436 test_align_3_2 (theano.tensor.tests.test_basic.t_dot) ... ok #2437 test_align_3_3 (theano.tensor.tests.test_basic.t_dot) ... ok #2438 test_broadcastable_patterns (theano.tensor.tests.test_basic.t_dot) ... ok #2439 test_dot_0d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2440 test_dot_0d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2441 test_dot_0d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2442 test_dot_0d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2443 test_dot_1d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2444 test_dot_1d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2445 test_dot_1d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2446 test_dot_1d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2447 test_dot_1d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2448 test_dot_1d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2449 test_dot_1d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2450 test_dot_1d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2451 test_dot_1d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2452 test_dot_1d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2453 test_dot_2d0_0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2454 test_dot_2d0_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2455 test_dot_2d0_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2456 test_dot_2d0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2457 test_dot_2d0_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2458 test_dot_2d_0_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2459 test_dot_2d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2460 test_dot_2d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2461 test_dot_2d_1d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2462 test_dot_2d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2463 test_dot_2d_2d0 (theano.tensor.tests.test_basic.t_dot) ... ok #2464 test_dot_2d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2465 test_dot_3d_0d (theano.tensor.tests.test_basic.t_dot) ... ok #2466 test_dot_3d_1d (theano.tensor.tests.test_basic.t_dot) ... ok #2467 test_dot_3d_2d (theano.tensor.tests.test_basic.t_dot) ... ok #2468 test_dot_3d_3d (theano.tensor.tests.test_basic.t_dot) ... ok #2469 test_grad (theano.tensor.tests.test_basic.t_dot) ... ok #2470 test_arithmetic_cast (theano.tensor.tests.test_basic.test_arithmetic_cast) ... SKIP: Known issue withnumpy see #761 #2471 test_and (theano.tensor.tests.test_basic.test_bitwise) ... ok #2472 test_eye (theano.tensor.tests.test_basic.test_bitwise) ... ok #2473 test_inv (theano.tensor.tests.test_basic.test_bitwise) ... ok #2474 test_or (theano.tensor.tests.test_basic.test_bitwise) ... ok #2475 test_xor (theano.tensor.tests.test_basic.test_bitwise) ... ok #2476 test_broadcast_bigdim (theano.tensor.tests.test_basic.test_broadcast) ... ok #2477 test_infer_shape (theano.tensor.tests.test_basic.test_broadcast) ... ok #2478 test_patternbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok #2479 test_unbroadcast_addbroadcast (theano.tensor.tests.test_basic.test_broadcast) ... ok #2480 test_allclose (theano.tensor.tests.test_basic.test_comparison) ... ok #2481 test_eq (theano.tensor.tests.test_basic.test_comparison) ... ok #2482 test_ge (theano.tensor.tests.test_basic.test_comparison) ... ok #2483 test_gt (theano.tensor.tests.test_basic.test_comparison) ... ok #2484 test_isclose (theano.tensor.tests.test_basic.test_comparison) ... ok #2485 test_le (theano.tensor.tests.test_basic.test_comparison) ... ok #2486 test_lt (theano.tensor.tests.test_basic.test_comparison) ... ok #2487 test_neq (theano.tensor.tests.test_basic.test_comparison) ... ok #2488 test_fail (theano.tensor.tests.test_basic.test_complex_mod) ... ok #2489 test_bias (theano.tensor.tests.test_basic.test_cov) ... ok #2490 test_core (theano.tensor.tests.test_basic.test_cov) ... ok #2491 test_ddof (theano.tensor.tests.test_basic.test_cov) ... ok #2492 test_rowvar (theano.tensor.tests.test_basic.test_cov) ... ok #2493 test_y (theano.tensor.tests.test_basic.test_cov) ... ok #2494 test_diag (theano.tensor.tests.test_basic.test_diag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2495 test_diag_grad (theano.tensor.tests.test_basic.test_diag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2496 test_infer_shape (theano.tensor.tests.test_basic.test_diag) ... ok #2497 test_1None_rval (theano.tensor.tests.test_basic.test_grad) ... ok #2498 test_1param (theano.tensor.tests.test_basic.test_grad) ... ok #2499 test_NNone_rval (theano.tensor.tests.test_basic.test_grad) ... ok #2500 test_Nparam (theano.tensor.tests.test_basic.test_grad) ... ok ---------------------------------------------------------------------- Ran 100 tests in 519.271s OK (SKIP=1) 55% done in 526.354s (failed: 0) #2501 test_cost_is_scalar (theano.tensor.tests.test_basic.test_grad) ... ok #2502 test_grad_keep_type (theano.tensor.tests.test_basic.test_grad) ... ok #2503 test_zero_gradient_shape (theano.tensor.tests.test_basic.test_grad) ... ok #2504 test_reciprocal (theano.tensor.tests.test_basic.test_matinv) ... ok #2505 test_flatnonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok #2506 test_nonzero (theano.tensor.tests.test_basic.test_nonzero) ... ok #2507 test_nonzero_values (theano.tensor.tests.test_basic.test_nonzero) ... ok #2508 test_dtype_equality (theano.tensor.tests.test_basic.test_numpy_assumptions) ... ok #2509 test_ndarray_copy (theano.tensor.tests.test_basic.test_numpy_assumptions) ... ok #2510 test_interface (theano.tensor.tests.test_basic.test_ptp) ... ok #2511 test_matrix_first_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2512 test_matrix_neg_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2513 test_matrix_no_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2514 test_matrix_second_axis (theano.tensor.tests.test_basic.test_ptp) ... ok #2515 test_scalar (theano.tensor.tests.test_basic.test_ptp) ... ok #2516 test_vector (theano.tensor.tests.test_basic.test_ptp) ... ok #2517 test_matrix (theano.tensor.tests.test_basic.test_size) ... ok #2518 test_scalar (theano.tensor.tests.test_basic.test_size) ... ok #2519 test_shared (theano.tensor.tests.test_basic.test_size) ... ok #2520 test_vector (theano.tensor.tests.test_basic.test_size) ... ok #2521 test0 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2522 test_broadcastable1 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2523 test_broadcastable2 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2524 test_raise_error (theano.tensor.tests.test_basic.test_tensordot) ... ok #2525 test_scalar0 (theano.tensor.tests.test_basic.test_tensordot) ... ok #2526 test_scalar_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok #2527 test_weird_valid_axes (theano.tensor.tests.test_basic.test_tensordot) ... ok #2528 test_tri (theano.tensor.tests.test_basic.test_triangle) ... ok #2529 test_tril_triu (theano.tensor.tests.test_basic.test_triangle) ... ok #2530 theano.tensor.tests.test_basic.test_maximum_minimum_grad ... ok #2531 theano.tensor.tests.test_basic.test_py_c_match ... ok #2532 theano.tensor.tests.test_basic.test_verify_jv_grad ... ok #2533 theano.tensor.tests.test_basic.test_verify_iv_grad ... ok #2534 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 #2535 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 #2536 theano.tensor.tests.test_basic.test_batched_dot ... ok #2537 theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(0,) ... ok theano.tensor.tests.test_basic.test_batched_dot_not_contiguous(1,) ... ok #2538 theano.tensor.tests.test_basic.test_batched_tensordot ... ok #2539 theano.tensor.tests.test_basic.test_tensor_values_eq_approx ... ok #2540 theano.tensor.tests.test_basic.test_nan_inf_constant_signature ... ok #2541 theano.tensor.tests.test_basic.test_isnan ... ok #2542 theano.tensor.tests.test_basic.test_basic_allclose ... ok #2543 theano.tensor.tests.test_basic.test_join_inplace ... ok #2544 theano.tensor.tests.test_basic.test_join_oneInput ... ok #2545 theano.tensor.tests.test_basic.test_make_column_matrix_broadcastable ... ok #2546 theano.tensor.tests.test_basic.test_flatten_outdimNone ... ok #2547 theano.tensor.tests.test_basic.test_flatten_scalar ... ok #2548 theano.tensor.tests.test_basic.test_flatten_ndim1 ... ok #2549 theano.tensor.tests.test_basic.test_flatten_ndim2 ... ok #2550 theano.tensor.tests.test_basic.test_flatten_ndim2_of_3 ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:5262: UserWarning: flatten outdim parameter is deprecated, use ndim instead. "flatten outdim parameter is deprecated, use ndim instead.") ok #2551 theano.tensor.tests.test_basic.test_flatten_broadcastable ... ok #2552 theano.tensor.tests.test_basic.test_flatten_ndim_invalid ... ok #2553 theano.tensor.tests.test_basic.test_is_flat ... ok #2554 theano.tensor.tests.test_basic.test_tile ... ok #2555 theano.tensor.tests.test_basic.test_tile_grad ... ok #2556 theano.tensor.tests.test_basic.test_smallest_stack ... ok #2557 theano.tensor.tests.test_basic.test_smallest ... ok #2558 theano.tensor.tests.test_basic.test_reshape_member_fn ... ok #2559 theano.tensor.tests.test_basic.test_var ... ok #2560 theano.tensor.tests.test_basic.test_default ... ok #2561 theano.tensor.tests.test_basic.test_default_state ... ok #2562 theano.tensor.tests.test_basic.test_autocast ... ok #2563 theano.tensor.tests.test_basic.test_len ... ok #2564 theano.tensor.tests.test_basic.test_mod ... ok #2565 theano.tensor.tests.test_basic.test_divmod ... ok #2566 theano.tensor.tests.test_basic.test_mod_compile ... ok #2567 theano.tensor.tests.test_basic.test_unalign ... ok #2568 theano.tensor.tests.test_basic.test_dimshuffle_duplicate ... ok #2569 theano.tensor.tests.test_basic.test_transpose ... ok #2570 theano.tensor.tests.test_basic.test_stacklists ... ok #2571 theano.tensor.tests.test_basic.test_norm ... ok #2572 theano.tensor.tests.test_basic.test_allocempty ... ok #2573 theano.tensor.tests.test_basic.test_symbolic_slice ... ok #2574 test0 (theano.tensor.tests.test_blas.T_real_matrix) ... ok #2575 test_dot22 (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2576 test_dot22scalar (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2577 test_gemm (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2578 test_gemm_non_contiguous (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2579 test_gemv (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2580 test_ger_strides (theano.tensor.tests.test_blas.TestBlasStrides) ... ok #2581 test_a_strides (theano.tensor.tests.test_blas.TestDgemv) ... ok #2582 test_a_strides_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2583 test_default_beta_y (theano.tensor.tests.test_blas.TestDgemv) ... ok #2584 test_simple (theano.tensor.tests.test_blas.TestDgemv) ... ok #2585 test_simple_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2586 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestDgemv) ... ok #2587 test_x_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok #2588 test_x_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2589 test_y_stride (theano.tensor.tests.test_blas.TestDgemv) ... ok #2590 test_y_stride_transpose (theano.tensor.tests.test_blas.TestDgemv) ... ok #2591 theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 0, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', 1, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float32', -2, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 0, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', 1, -2, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 0, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, 1, True, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, False, True, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, False, True, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, False, True, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, False, True, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, False, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, False, True) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, True, False) ... ok theano.tensor.tests.test_blas.TestGemmNoFlags.test_gemm('float64', -2, -2, True, True, True, True, True, True) ... ok #2592 test_dot_mv (theano.tensor.tests.test_blas.TestGemv) ... ok #2593 test_dot_vm (theano.tensor.tests.test_blas.TestGemv) ... ok #2594 test_dot_vv (theano.tensor.tests.test_blas.TestGemv) ... ok #2595 test_gemv1 (theano.tensor.tests.test_blas.TestGemv) ... ok #2596 test_gemv2 (theano.tensor.tests.test_blas.TestGemv) ... ok #2597 test_gemv_broadcast (theano.tensor.tests.test_blas.TestGemv) ... ok #2598 test_gemv_dimensions (theano.tensor.tests.test_blas.TestGemv) ... ok #2599 test_A_plus_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2600 test_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok ---------------------------------------------------------------------- Ran 1350 tests in 416.629s OK 58% done in 424.009s (failed: 0) #2601 test_b_0_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2602 test_b_1_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2603 test_b_nonconst_does_not_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2604 test_b_other_does_not_triggers_ger (theano.tensor.tests.test_blas.TestGer) ... ok #2605 test_c128_1_9 (theano.tensor.tests.test_blas.TestGer) ... ok #2606 test_c64_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2607 test_f32_0_0 (theano.tensor.tests.test_blas.TestGer) ... ok #2608 test_f32_0_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2609 test_f32_1_0 (theano.tensor.tests.test_blas.TestGer) ... ok #2610 test_f32_1_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2611 test_f32_1_2 (theano.tensor.tests.test_blas.TestGer) ... ok #2612 test_f32_4_4 (theano.tensor.tests.test_blas.TestGer) ... ok #2613 test_f32_7_1 (theano.tensor.tests.test_blas.TestGer) ... ok #2614 test_f64_4_5 (theano.tensor.tests.test_blas.TestGer) ... ok #2615 test_inplace (theano.tensor.tests.test_blas.TestGer) ... ok #2616 test_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2617 test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas.TestGer) ... ok #2618 test_eq (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2619 test_hash (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2620 test_name (theano.tensor.tests.test_blas.TestGer_OpContract) ... ok #2621 test_fails_for_mixed_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2622 test_fails_for_nonmatrix_A (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2623 test_fails_for_nonscalar_alpha (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2624 test_fails_for_nonvector_x_or_y (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2625 test_fails_on_invalid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2626 test_works_on_all_valid_dtypes (theano.tensor.tests.test_blas.TestGer_make_node) ... ok #2627 test_a_strides (theano.tensor.tests.test_blas.TestSgemv) ... ok #2628 test_a_strides_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2629 test_default_beta_y (theano.tensor.tests.test_blas.TestSgemv) ... ok #2630 test_simple (theano.tensor.tests.test_blas.TestSgemv) ... ok #2631 test_simple_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2632 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas.TestSgemv) ... ok #2633 test_x_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok #2634 test_x_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2635 test_y_stride (theano.tensor.tests.test_blas.TestSgemv) ... ok #2636 test_y_stride_transpose (theano.tensor.tests.test_blas.TestSgemv) ... ok #2637 test0 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2638 test1 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2639 test2 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2640 test3 (theano.tensor.tests.test_blas.t_as_scalar) ... ok #2641 test0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2642 test0a (theano.tensor.tests.test_blas.t_gemm) ... ok #2643 test10 (theano.tensor.tests.test_blas.t_gemm) ... ok #2644 test11 (theano.tensor.tests.test_blas.t_gemm) ... ok #2645 test12 (theano.tensor.tests.test_blas.t_gemm) ... ok #2646 test2 (theano.tensor.tests.test_blas.t_gemm) ... ok #2647 test4 (theano.tensor.tests.test_blas.t_gemm) ... ok #2648 test5 (theano.tensor.tests.test_blas.t_gemm) ... ok #2649 test6 (theano.tensor.tests.test_blas.t_gemm) ... ok #2650 test7 (theano.tensor.tests.test_blas.t_gemm) ... ok #2651 test8 (theano.tensor.tests.test_blas.t_gemm) ... ok #2652 test9 (theano.tensor.tests.test_blas.t_gemm) ... ok #2653 test_destroy_map0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2654 test_destroy_map1 (theano.tensor.tests.test_blas.t_gemm) ... ok #2655 test_destroy_map2 (theano.tensor.tests.test_blas.t_gemm) ... ok #2656 test_destroy_map3 (theano.tensor.tests.test_blas.t_gemm) ... ok #2657 test_destroy_map4 (theano.tensor.tests.test_blas.t_gemm) ... ok #2658 test_factorised_scalar (theano.tensor.tests.test_blas.t_gemm) ... ok #2659 test_non_contiguous (theano.tensor.tests.test_blas.t_gemm) ... ok #2660 test_shape_0 (theano.tensor.tests.test_blas.t_gemm) ... ok #2661 test_transposes (theano.tensor.tests.test_blas.t_gemm) ... ok #2662 test_dot22 (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2663 test_dot22scalar (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2664 test_gemm (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2665 test_gemv (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2666 test_ger (theano.tensor.tests.test_blas.test_infer_shape) ... ok #2667 theano.tensor.tests.test_blas.test_dot_eq ... ok #2668 theano.tensor.tests.test_blas.test_res_is_a ... ok #2669 theano.tensor.tests.test_blas.test_gemm_opt0 ... ok #2670 theano.tensor.tests.test_blas.test_gemm_opt_double_gemm ... ok #2671 theano.tensor.tests.test_blas.test_gemm_canonicalize ... ok #2672 theano.tensor.tests.test_blas.test_gemm_factor ... ok #2673 theano.tensor.tests.test_blas.test_upcasting_scalar_nogemm ... ok #2674 theano.tensor.tests.test_blas.test_gemm_nested ... ok #2675 theano.tensor.tests.test_blas.test_gemm_opt_wishlist ... ok #2676 theano.tensor.tests.test_blas.test_gemm_with_vector ... ok #2677 theano.tensor.tests.test_blas.test_gemm_opt_vector_stuff ... ok #2678 theano.tensor.tests.test_blas.test_gemm_unrolled ... ok #2679 theano.tensor.tests.test_blas.test_inplace0 ... ok #2680 theano.tensor.tests.test_blas.test_inplace1 ... ok #2681 theano.tensor.tests.test_blas.test_dot22 ... ok #2682 theano.tensor.tests.test_blas.test_dot22scalar ... ok #2683 theano.tensor.tests.test_blas.test_dot22scalar_cast ... ok #2684 theano.tensor.tests.test_blas.test_local_dot22_to_dot22scalar ... ok #2685 theano.tensor.tests.test_blas.test_dot_w_self ... ok #2686 test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2687 test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2688 test_gemm (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2689 test_gemm_non_contiguous (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2690 test_gemv (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2691 test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStrides) ... ok #2692 test_dot22 (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2693 test_dot22scalar (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2694 test_gemm (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2695 test_gemm_non_contiguous (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2696 test_gemv (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2697 test_ger_strides (theano.tensor.tests.test_blas_c.TestBlasStridesC) ... ok #2698 test_force_gemv_init (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2699 test_gemv1 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2700 test_gemv_dimensions (theano.tensor.tests.test_blas_c.TestCGemv) ... ok ---------------------------------------------------------------------- Ran 100 tests in 201.103s OK 60% done in 210.229s (failed: 0) #2701 test_multiple_inplace (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2702 test_nan_beta_0 (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2703 test_optimizations_mv (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2704 test_optimizations_vm (theano.tensor.tests.test_blas_c.TestCGemv) ... ok #2705 test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2706 test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2707 test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2708 test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2709 test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2710 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2711 test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2712 test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2713 test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2714 test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat32) ... ok #2715 test_a_strides (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2716 test_a_strides_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2717 test_default_beta_y (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2718 test_simple (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2719 test_simple_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2720 test_upcasting_scalar_nogemv (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2721 test_x_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2722 test_x_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2723 test_y_stride (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2724 test_y_stride_transpose (theano.tensor.tests.test_blas_c.TestCGemvFloat64) ... ok #2725 theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float32', -2, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestCGemvNoFlags.test_cgemv('float64', -2, -2, True, True) ... ok #2726 test_A_plus_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2727 test_A_plus_scaled_outer (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2728 test_eq (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2729 test_hash (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2730 test_int_fails (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2731 test_optimization_pipeline (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2732 test_optimization_pipeline_float (theano.tensor.tests.test_blas_c.TestCGer) ... ok #2733 theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float32', -2, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 0, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', 1, -2, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 0, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, 1, True, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, False, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, False, True) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, True, False) ... ok theano.tensor.tests.test_blas_c.TestSdotNoFlags.test_cgemv('float64', -2, -2, True, True) ... ok #2734 test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2735 test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2736 test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2737 test_gemm_non_contiguous (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2738 test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2739 test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStrides) ... ok #2740 test_dot22 (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2741 test_dot22scalar (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2742 test_gemm (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2743 test_gemm_non_contiguous (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2744 test_gemv (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2745 test_ger_strides (theano.tensor.tests.test_blas_scipy.TestBlasStridesScipy) ... ok #2746 test_A_plus_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2747 test_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2748 test_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2749 test_scaled_A_plus_scaled_outer (theano.tensor.tests.test_blas_scipy.TestScipyGer) ... ok #2750 test_0 (theano.tensor.tests.test_casting.test_casting) ... ok #2751 test_basic (theano.tensor.tests.test_casting.test_casting) ... ok #2752 test_bug_complext_10_august_09 (theano.tensor.tests.test_casting.test_casting) ... ok #2753 test_convert_to_complex (theano.tensor.tests.test_casting.test_casting) ... ok #2754 test_illegal (theano.tensor.tests.test_casting.test_casting) ... ok #2755 test0 (theano.tensor.tests.test_complex.TestRealImag) ... ok #2756 test_abs_grad (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_abs_grad: Complex grads not enabled, see #178 #2757 test_cast (theano.tensor.tests.test_complex.TestRealImag) ... ok #2758 test_complex (theano.tensor.tests.test_complex.TestRealImag) ... ok #2759 test_complex_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_complex_grads: Complex grads not enabled, see #178 #2760 test_mul_mixed (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed: Complex grads not enabled, see #178 #2761 test_mul_mixed0 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed0: Complex grads not enabled, see #178 #2762 test_mul_mixed1 (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_mul_mixed1: Complex grads not enabled, see #178 #2763 test_on_real_input (theano.tensor.tests.test_complex.TestRealImag) ... ok #2764 test_polar_grads (theano.tensor.tests.test_complex.TestRealImag) ... SKIP: Skipping test: test_polar_grads: Complex grads not enabled, see #178 #2765 test_mean_custom_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok #2766 test_mean_default_dtype (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok #2767 test_mean_precision (theano.tensor.tests.test_elemwise.T_mean_dtype) ... ok #2768 test_prod_without_zeros_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2769 test_prod_without_zeros_custom_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2770 test_prod_without_zeros_default_acc_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2771 test_prod_without_zeros_default_dtype (theano.tensor.tests.test_elemwise.T_prod_without_zeros_dtype) ... ok #2772 test_reduce_custom_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2773 test_reduce_custom_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2774 test_reduce_default_acc_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2775 test_reduce_default_dtype (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2776 test_reduce_precision (theano.tensor.tests.test_elemwise.T_reduce_dtype) ... ok #2777 test_all_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok #2778 test_any_grad (theano.tensor.tests.test_elemwise.TestBitOpReduceGrad) ... ok #2779 test_elemwise_grad_bool (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2780 test_infer_shape (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2781 test_input_dimensions_overflow (theano.tensor.tests.test_elemwise.TestElemwise) ... ok #2782 test_c (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2783 test_c_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2784 test_fill (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2785 test_fill_grad (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2786 test_fill_var (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2787 test_perform (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2788 test_perform_inplace (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2789 test_same_inputs (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2790 test_weird_strides (theano.tensor.tests.test_elemwise.test_Broadcast) ... ok #2791 test_c (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2792 test_c_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2793 test_c_noopt (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2794 test_infer_shape (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2795 test_perform (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2796 test_perform_nan (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2797 test_perform_noopt (theano.tensor.tests.test_elemwise.test_CAReduce) ... ok #2798 test_c_or_py (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2799 test_infer_shape (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2800 test_perform (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok ---------------------------------------------------------------------- Ran 242 tests in 1846.168s OK (SKIP=6) 62% done in 1853.794s (failed: 0) #2801 test_too_big_rank (theano.tensor.tests.test_elemwise.test_DimShuffle) ... ok #2802 test_isinf (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok #2803 test_isnan (theano.tensor.tests.test_elemwise.test_IsInf_IsNan) ... ok #2804 test_mul_without_zeros_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2805 test_other_grad_tests (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2806 test_pickle_bug (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2807 test_prod_no_zeros_in_input (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2808 test_prod_without_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2809 test_prod_without_zeros_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2810 test_verify_grad (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2811 test_verify_grad_with_zeros (theano.tensor.tests.test_elemwise.test_Prod) ... ok #2812 test_argmax_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2813 test_max_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2814 test_mean_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2815 test_min_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2816 test_sum_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2817 test_var_axes (theano.tensor.tests.test_elemwise.test_reduce_axes) ... ok #2818 theano.tensor.tests.test_elemwise.test_gt_grad ... ok #2819 theano.tensor.tests.test_elemwise.test_clip_grad ... ok #2820 theano.tensor.tests.test_elemwise.test_grad_useless_sum ... ok #2821 theano.tensor.tests.test_elemwise.test_elemwise_grad_broadcast ... ok #2822 theano.tensor.tests.test_elemwise.test_clip_grad_int ... ok #2823 theano.tensor.tests.test_elemwise.test_not_implemented_elemwise_grad ... ok #2824 test_op (theano.tensor.tests.test_extra_ops.CompressTester) ... ok #2825 test_grad (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2826 test_infer_shape (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2827 test_op (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2828 test_var_interface (theano.tensor.tests.test_extra_ops.SqueezeTester) ... ok #2829 test_infer_shape (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok #2830 test_perform (theano.tensor.tests.test_extra_ops.TestBartlett) ... ok #2831 test_bincountFn (theano.tensor.tests.test_extra_ops.TestBinCount) ... ok #2832 test_cum_op (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2833 test_grad (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2834 test_infer_shape (theano.tensor.tests.test_extra_ops.TestCumOp) ... ok #2835 test_diffOp (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2836 test_grad (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2837 test_infer_shape (theano.tensor.tests.test_extra_ops.TestDiffOp) ... ok #2838 test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2839 test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2840 test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonal) ... ok #2841 test_gradient (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2842 test_infer_shape (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2843 test_perform (theano.tensor.tests.test_extra_ops.TestFillDiagonalOffset) ... ok #2844 test_broadcastable (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2845 test_grad (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2846 test_infer_shape (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2847 test_repeatOp (theano.tensor.tests.test_extra_ops.TestRepeatOp) ... ok #2848 test_grad (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2849 test_infer_shape (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2850 test_searchsortedOp_on_float_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2851 test_searchsortedOp_on_int_sorter (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2852 test_searchsortedOp_on_no_1d_inp (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2853 test_searchsortedOp_on_right_side (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2854 test_searchsortedOp_on_sorted_input (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2855 test_searchsortedOp_wrong_side_kwd (theano.tensor.tests.test_extra_ops.TestSearchsortedOp) ... ok #2856 test_basic_matrix (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2857 test_basic_vector (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2858 test_infer_shape_matrix (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2859 test_infer_shape_vector (theano.tensor.tests.test_extra_ops.test_Unique) ... ok #2860 test_ravel_multi_index (theano.tensor.tests.test_extra_ops.test_ravel_multi_index) ... ok #2861 test_unravel_index (theano.tensor.tests.test_extra_ops.test_unravel_index) ... ok #2862 theano.tensor.tests.test_extra_ops.test_cpu_contiguous ... ok #2863 theano.tensor.tests.test_extra_ops.test_to_one_hot ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #2864 test_1Drfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2865 test_grad_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2866 test_irfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2867 test_norm_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2868 test_params (theano.tensor.tests.test_fft.TestFFT) ... ok #2869 test_rfft (theano.tensor.tests.test_fft.TestFFT) ... ok #2870 test_rfft_float (theano.tensor.tests.test_fft.TestFFT) ... ok #2871 test_gradient (theano.tensor.tests.test_fourier.TestFourier) ... SKIP: Skipping test: test_gradient: Complex grads not enabled, see #178 #2872 test_infer_shape (theano.tensor.tests.test_fourier.TestFourier) ... ok #2873 test_perform (theano.tensor.tests.test_fourier.TestFourier) ... ok #2874 theano.tensor.tests.test_gc.test_no_reuse ... ok #2875 theano.tensor.tests.test_gc.test_gc_never_pickles_temporaries ... ok #2876 theano.tensor.tests.test_gc.test_merge_opt_runtime ... ok #2877 test_grad_inc_set (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2878 test_simple_2d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2879 test_simple_3d (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2880 test_wrong_broadcast (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2881 test_wrong_dims (theano.tensor.tests.test_inc_subtensor.Test_inc_subtensor) ... ok #2882 test0 (theano.tensor.tests.test_io.T_load_tensor) ... ok #2883 test1 (theano.tensor.tests.test_io.T_load_tensor) ... ok #2884 test_invalid_modes (theano.tensor.tests.test_io.T_load_tensor) ... ok #2885 test_memmap (theano.tensor.tests.test_io.T_load_tensor) ... ok #2886 test_keepdims (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok #2887 test_norm (theano.tensor.tests.test_keepdims.TestKeepDims) ... ok #2888 theano.tensor.tests.test_merge.test_merge_with_weird_eq ... ok #2889 theano.tensor.tests.test_misc.test_bug_2009_06_02_trac_387 ... ok #2890 theano.tensor.tests.test_misc.test_bug_2009_07_17_borrowed_output ... ok #2891 theano.tensor.tests.test_misc.test_deepcopied_type_filter ... ok #2892 theano.tensor.tests.test_mpi.test_send ... ok #2893 theano.tensor.tests.test_mpi.test_mpi_roundtrip ... SKIP: MPI not enabled #2894 theano.tensor.tests.test_mpi.test_mpi_send_wait_cmp ... ok #2895 theano.tensor.tests.test_mpi.test_mpi_schedule ... ok #2896 theano.tensor.tests.test_mpi.test_can_make_function ... ok #2897 theano.tensor.tests.test_mpi.test_mpi_tag_ordering ... ok #2898 theano.tensor.tests.test_mpi.test_recv ... ok #2899 test_non_square_matrix (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok #2900 test_numpy_compare (theano.tensor.tests.test_nlinalg.Matrix_power) ... ok ---------------------------------------------------------------------- Ran 100 tests in 507.533s OK (SKIP=2) 64% done in 514.658s (failed: 0) #2901 test_non_tensorial_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2902 test_numpy_compare (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2903 test_tensor_input (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2904 test_wrong_type_of_ord_for_matrix (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2905 test_wrong_type_of_ord_for_vector (theano.tensor.tests.test_nlinalg.T_NormTests) ... ok #2906 test_correct_solution (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2907 test_wrong_coefficient_matrix (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2908 test_wrong_rcond_dimension (theano.tensor.tests.test_nlinalg.T_lstsq) ... ok #2909 test_eval (theano.tensor.tests.test_nlinalg.test_Eig) ... ok #2910 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eig) ... ok #2911 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2912 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2913 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2914 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh) ... ok #2915 test_eval (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2916 test_grad (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2917 test_infer_shape (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2918 test_uplo (theano.tensor.tests.test_nlinalg.test_Eigh_float32) ... ok #2919 test_infer_shape (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok #2920 test_inverse_correctness (theano.tensor.tests.test_nlinalg.test_MatrixInverse) ... ok #2921 test_svd (theano.tensor.tests.test_nlinalg.test_SVD) ... ok #2922 test_svd_infer_shape (theano.tensor.tests.test_nlinalg.test_SVD) ... ok #2923 test_eval (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok #2924 test_infer_shape (theano.tensor.tests.test_nlinalg.test_TensorInv) ... ok #2925 test_alloc_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2926 test_alloc_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2927 test_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2928 test_extract_diag (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2929 test_extract_diag_empty (theano.tensor.tests.test_nlinalg.test_diag) ... ok #2930 test_extract_diag_grad (theano.tensor.tests.test_nlinalg.test_diag) ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #2931 theano.tensor.tests.test_nlinalg.test_pseudoinverse_correctness ... ok #2932 theano.tensor.tests.test_nlinalg.test_pseudoinverse_grad ... ok #2933 theano.tensor.tests.test_nlinalg.test_matrix_dot ... ok #2934 theano.tensor.tests.test_nlinalg.test_qr_modes ... ok #2935 theano.tensor.tests.test_nlinalg.test_tensorsolve ... ok #2936 theano.tensor.tests.test_nlinalg.test_inverse_singular ... ok #2937 theano.tensor.tests.test_nlinalg.test_inverse_grad ... ok #2938 theano.tensor.tests.test_nlinalg.test_det ... ok #2939 theano.tensor.tests.test_nlinalg.test_det_grad ... ok #2940 theano.tensor.tests.test_nlinalg.test_det_shape ... ok #2941 theano.tensor.tests.test_nlinalg.test_trace ... ok #2942 test_local_useless_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok #2943 test_rebroadcast_rebroadcast (theano.tensor.tests.test_opt.T_Rebroadcast) ... ok #2944 test_local_useless_tile (theano.tensor.tests.test_opt.T_Tile) ... ok #2945 test_consecutive (theano.tensor.tests.test_opt.T_cast_cast) ... ok #2946 test_upcast (theano.tensor.tests.test_opt.T_cast_cast) ... ok #2947 test (theano.tensor.tests.test_opt.T_func_inverse) ... ok #2948 test_local_erf_minus_one (theano.tensor.tests.test_opt.T_local_erf) ... ok #2949 test_local_one_minus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok #2950 test_local_one_plus_erf (theano.tensor.tests.test_opt.T_local_erf) ... ok #2951 test_local_erf_neg_minus_one (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2952 test_local_grad_log_erfc_neg (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2953 test_local_log_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2954 test_local_one_minus_erfc (theano.tensor.tests.test_opt.T_local_erfc) ... ok #2955 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok #2956 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok #2957 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc) ... ok #2958 test_prod_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2959 test_sum_bool_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2960 test_sum_upcast (theano.tensor.tests.test_opt.T_local_opt_alloc_f16) ... ok #2961 test_local_reduce_broadcast_all_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2962 test_local_reduce_broadcast_all_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2963 test_local_reduce_broadcast_some_0 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2964 test_local_reduce_broadcast_some_1 (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2965 test_local_reduce_join (theano.tensor.tests.test_opt.T_local_reduce) ... ok #2966 test_local_sum_prod_all_to_none (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2967 test_local_sum_prod_alloc (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2968 test_local_sum_prod_mul_by_scalar (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2969 test_local_sum_prod_mul_by_scalar_stack_trace (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2970 test_local_sum_sum_dtype (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2971 test_local_sum_sum_int8 (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2972 test_local_sum_sum_prod_prod (theano.tensor.tests.test_opt.T_local_sum_prod) ... ok #2973 test_local_prod_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok #2974 test_local_sum_div_dimshuffle (theano.tensor.tests.test_opt.T_local_sum_prod_dimshuffle) ... ok #2975 test_local_div_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok #2976 test_local_mul_switch_sink (theano.tensor.tests.test_opt.T_local_switch_sink) ... ok #2977 test_add (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2978 test_eq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2979 test_identity (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2980 test_mul (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2981 test_neq (theano.tensor.tests.test_opt.T_useless_elemwise) ... ok #2982 test_local_useless_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok #2983 test_nested_composite (theano.tensor.tests.test_opt.TestCompositeCodegen) ... ok #2984 test1 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #2985 test2 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #2986 test3 (theano.tensor.tests.test_opt.TestIntDivByOne) ... ok #2987 test_infer_shape (theano.tensor.tests.test_opt.TestMakeVector) ... ok #2988 test_make_vector (theano.tensor.tests.test_opt.TestMakeVector) ... ok #2989 test_scalar (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2990 test_vector (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2991 test_vector2 (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2992 test_vector_dim (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2993 test_vector_dim_err (theano.tensor.tests.test_opt.TestShapeFeature) ... ok #2994 test_infer_shape (theano.tensor.tests.test_opt.TestShape_i) ... ok #2995 test_perform (theano.tensor.tests.test_opt.TestShape_i) ... ok #2996 test_local_reshape (theano.tensor.tests.test_opt.Test_Reshape) ... ok #2997 test_advancedincsubtensor1_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #2998 test_advancedincsubtensor1_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #2999 test_advancedincsubtensor1_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3000 test_advancedincsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok ---------------------------------------------------------------------- Ran 100 tests in 302.868s OK 67% done in 310.108s (failed: 0) #3001 test_advancedincsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3002 test_advancedincsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3003 test_dot_allocs_0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3004 test_incsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3005 test_incsubtensor_allocs0t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3006 test_incsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3007 test_incsubtensor_x_zeros (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3008 test_setsubtensor_allocs0 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3009 test_setsubtensor_allocs1 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3010 test_setsubtensor_allocs1t (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3011 test_setsubtensor_allocs2 (theano.tensor.tests.test_opt.Test_alloc_zero) ... ok #3012 test_matrix_col (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3013 test_matrix_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3014 test_row_matrix (theano.tensor.tests.test_opt.Test_lift_transpose_through_dot) ... ok #3015 test0 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3016 test1 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3017 test2 (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3018 test_useless_alloc_with_shape_one (theano.tensor.tests.test_opt.Test_local_canonicalize_alloc) ... ok #3019 test_error (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3020 test_multi_input_single_alloc (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3021 test_remove_alloc_w_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3022 test_remove_alloc_wo_dimshuffle (theano.tensor.tests.test_opt.Test_local_elemwise_alloc) ... ok #3023 test_1 (theano.tensor.tests.test_opt.Test_local_reshape_to_dimshuffle) ... ok #3024 test_and (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3025 test_and_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3026 test_equality_shapes (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3027 test_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3028 test_local_useless_elemwise_comparison (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3029 test_or (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3030 test_or_int (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3031 test_shape_add_inequality (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3032 test_shape_inequality_with_self (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3033 test_stacktrace (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3034 test_xor (theano.tensor.tests.test_opt.Test_local_useless_elemwise_comparison) ... ok #3035 test_advanced_inc_subtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #3036 test_advanced_inc_subtensor1 (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok #3037 test_incsubtensor (theano.tensor.tests.test_opt.Test_local_useless_inc_subtensor_alloc) ... ok #3038 test_0 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3039 test_1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3040 test_2 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3041 test_m1 (theano.tensor.tests.test_opt.Test_local_useless_reshape) ... ok #3042 test_basic (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3043 test_broadcasted (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3044 test_different_dtypes (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3045 test_fewer_dims (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3046 test_multiple_idx (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3047 test_not_applied (theano.tensor.tests.test_opt.Test_subtensor_inc_subtensor) ... ok #3048 test0 (theano.tensor.tests.test_opt.test_assert) ... ok #3049 test_infer_shape (theano.tensor.tests.test_opt.test_assert) ... ok #3050 test_local_remove_all_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok #3051 test_local_remove_useless_assert1 (theano.tensor.tests.test_opt.test_assert) ... ok #3052 test_local_remove_useless_assert3 (theano.tensor.tests.test_opt.test_assert) ... ok #3053 test_test_local_remove_useless_assert2 (theano.tensor.tests.test_opt.test_assert) ... ok #3054 test_abs_mul_div (theano.tensor.tests.test_opt.test_canonize) ... ok #3055 test_canonicalize_nan (theano.tensor.tests.test_opt.test_canonize) ... ok #3056 test_dont_merge_if_multiple_client (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Not implemented #3057 test_elemwise_multiple_inputs_optimisation (theano.tensor.tests.test_opt.test_canonize) ... ok #3058 test_elemwise_multiple_inputs_optimisation2 (theano.tensor.tests.test_opt.test_canonize) ... SKIP: Current implementation of Canonizer does not implement all cases. Skip the corresponding test. #3059 test_muldiv (theano.tensor.tests.test_opt.test_canonize) ... ok #3060 test_multiple_case (theano.tensor.tests.test_opt.test_canonize) ... ok #3061 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. #3062 test_dimshuffle_on_broadcastable (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3063 test_double_transpose (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3064 test_elim3 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3065 test_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3066 test_merge2 (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3067 test_recursive_lift (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3068 test_useless_dimshuffle (theano.tensor.tests.test_opt.test_dimshuffle_lift) ... ok #3069 test_elemwise_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok #3070 test_elemwise_fusion_4d (theano.tensor.tests.test_opt.test_fusion) ... ok #3071 test_fusion_35inputs (theano.tensor.tests.test_opt.test_fusion) ... ok #3072 test_fusion_inplace (theano.tensor.tests.test_opt.test_fusion) ... ok #3073 test_pickle_big_fusion (theano.tensor.tests.test_opt.test_fusion) ... ok #3074 test_kording_bug (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok #3075 test_main (theano.tensor.tests.test_opt.test_greedy_distribute) ... ok #3076 test0 (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... /build/theano-1.0.3+dfsg/theano/tensor/opt.py:3523: UserWarning: Your current code is fine, but Theano versions between 0.7rc1 and 0.10 (or development versions between Nov. 2014 and May 2017) might have given incorrect results. This graph has following pattern: inc_subtensor(zeros[idx], x)[idx], where idx is an array of integers. This used to be optimized to "x", which is incorrect if there are duplicated indices in idx. To disable this warning, set the Theano flag warn.inc_subtensor1_opt to False. 'Your current code is fine, but Theano versions ' /build/theano-1.0.3+dfsg/theano/tensor/opt.py:3523: UserWarning: Your current code is fine, but Theano versions between 0.7rc1 and 0.10 (or development versions between Nov. 2014 and May 2017) might have given incorrect results. This graph has following pattern: inc_subtensor(zeros[idx], x)[idx], where idx is an array of integers. This used to be optimized to "x", which is incorrect if there are duplicated indices in idx. To disable this warning, set the Theano flag warn.inc_subtensor1_opt to False. 'Your current code is fine, but Theano versions ' /build/theano-1.0.3+dfsg/theano/tensor/opt.py:3523: UserWarning: Your current code is fine, but Theano versions between 0.7rc1 and 0.10 (or development versions between Nov. 2014 and May 2017) might have given incorrect results. This graph has following pattern: inc_subtensor(zeros[idx], x)[idx], where idx is an array of integers. This used to be optimized to "x", which is incorrect if there are duplicated indices in idx. To disable this warning, set the Theano flag warn.inc_subtensor1_opt to False. 'Your current code is fine, but Theano versions ' ok #3077 test_assert (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok #3078 test_stack_trace (theano.tensor.tests.test_opt.test_local_adv_sub1_adv_inc_sub1) ... ok #3079 test_elemwise (theano.tensor.tests.test_opt.test_local_merge_switch_same_cond) ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #3080 test0 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3081 test0b (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3082 test1 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3083 test2 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3084 test3 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3085 test4 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3086 test5 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3087 test6 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3088 test7 (theano.tensor.tests.test_opt.test_local_subtensor_lift) ... ok #3089 test_AdvancedSubtensor1_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3090 test_scalar_idx (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3091 test_slice_idx_step (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3092 test_slice_idx_stop (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3093 test_stack_trace (theano.tensor.tests.test_opt.test_local_subtensor_make_vector) ... ok #3094 test_const (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3095 test_const2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3096 test_const3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3097 test_const4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3098 test_const5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3099 test_const6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3100 test_const_general (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok ---------------------------------------------------------------------- Ran 100 tests in 607.299s OK (SKIP=3) 69% done in 626.028s (failed: 0) #3101 test_none_index (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3102 test_none_slice (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3103 test_scalar (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3104 test_scalar2 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3105 test_scalar3 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3106 test_scalar4 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3107 test_scalar5 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3108 test_scalar6 (theano.tensor.tests.test_opt.test_local_subtensor_merge) ... ok #3109 test_broadcast1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3110 test_broadcast2 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3111 test_broadcast3 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3112 test_const0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3113 test_const1 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3114 test_left_is_right (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3115 test_shape_le_0 (theano.tensor.tests.test_opt.test_local_useless_switch) ... ok #3116 test0 (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3117 test_broadcasted_dims (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3118 test_constant (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3119 test_constant_merge (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3120 test_local_track_shape_i (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3121 test_no_shapeopt (theano.tensor.tests.test_opt.test_shapeoptimizer) ... ok #3122 theano.tensor.tests.test_opt.test_local_useless_dimshuffle_in_reshape ... ok #3123 theano.tensor.tests.test_opt.test_add_canonizer_problem0 ... ok #3124 theano.tensor.tests.test_opt.test_local_merge_abs ... ok #3125 theano.tensor.tests.test_opt.test_merge_abs_bugfix ... ok #3126 theano.tensor.tests.test_opt.test_mixeddiv ... ok #3127 theano.tensor.tests.test_opt.test_const_type_in_mul_canonizer ... ok #3128 theano.tensor.tests.test_opt.test_cast_in_mul_canonizer ... ok #3129 theano.tensor.tests.test_opt.test_log1p ... ok #3130 theano.tensor.tests.test_opt.test_log_add ... SKIP: log(add(exp)) is not stabilized when adding more than 2 elements, see #623 #3131 theano.tensor.tests.test_opt.test_local_useless_slice ... ok #3132 theano.tensor.tests.test_opt.test_local_useless_inc_subtensor ... ok #3133 theano.tensor.tests.test_opt.test_local_useless_subtensor ... ok #3134 theano.tensor.tests.test_opt.test_local_subtensor_remove_broadcastable_index ... ok #3135 theano.tensor.tests.test_opt.test_local_IncSubtensor_serialize ... ok #3136 theano.tensor.tests.test_opt.test_local_set_to_inc_subtensor ... ok #3137 theano.tensor.tests.test_opt.test_local_subtensor_of_dot ... ok #3138 theano.tensor.tests.test_opt.test_local_subtensor_of_alloc ... ok #3139 theano.tensor.tests.test_opt.test_local_fill_useless ... ok #3140 theano.tensor.tests.test_opt.test_local_elemwise_sub_zeros ... ok #3141 theano.tensor.tests.test_opt.test_local_mul_specialize ... ok #3142 theano.tensor.tests.test_opt.test_local_pow_specialize ... ok #3143 theano.tensor.tests.test_opt.test_local_pow_specialize_device_more_aggressive_on_cpu ... ok #3144 theano.tensor.tests.test_opt.test_constant_folding ... ok #3145 theano.tensor.tests.test_opt.test_constant_get_stabilized ... SKIP: Theano optimizes constant before stabilization. This breaks stabilization optimization in some cases. See #504. #3146 theano.tensor.tests.test_opt.test_local_join_1 ... ok #3147 theano.tensor.tests.test_opt.test_local_join_empty ... ok #3148 theano.tensor.tests.test_opt.test_local_join_make_vector ... ok #3149 theano.tensor.tests.test_opt.test_local_add_specialize ... ok #3150 theano.tensor.tests.test_opt.test_local_tensor_scalar_tensor ... ok #3151 theano.tensor.tests.test_opt.test_local_scalar_tensor_scalar ... ok #3152 theano.tensor.tests.test_opt.test_local_div_to_inv ... ok #3153 theano.tensor.tests.test_opt.test_local_useless_split ... ok #3154 theano.tensor.tests.test_opt.test_local_flatten_lift ... ok #3155 theano.tensor.tests.test_opt.test_local_reshape_lift ... ok #3156 theano.tensor.tests.test_opt.test_local_upcast_elemwise_constant_inputs ... ok #3157 theano.tensor.tests.test_opt.test_assert_op_gradient ... ok #3158 theano.tensor.tests.test_opt.test_local_zero_div ... /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) /build/theano-1.0.3+dfsg/theano/gof/opt.py:251: UserWarning: WARNING: Supervisor is not added. Please build a FunctionGraphvia theano.compile.function_module.std_graph()or add the Supervisor class manually. sub_prof = optimizer.optimize(fgraph) ok #3159 theano.tensor.tests.test_opt.test_local_sumsqr2dot ... ok #3160 theano.tensor.tests.test_opt.test_local_expm1 ... ok #3161 theano.tensor.tests.test_opt.test_local_merge_alloc ... ok #3162 theano.tensor.tests.test_opt.test_local_useless_alloc ... ok #3163 theano.tensor.tests.test_opt.test_local_log_sum_exp1 ... ok #3164 theano.tensor.tests.test_opt.test_local_log_sum_exp2 ... ok #3165 theano.tensor.tests.test_opt.test_local_log_sum_exp3 ... ok #3166 test_optimization (theano.tensor.tests.test_opt_uncanonicalize.T_max_and_argmax) ... ok #3167 test_optimization_max (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok #3168 test_optimization_min (theano.tensor.tests.test_opt_uncanonicalize.T_min_max) ... ok #3169 theano.tensor.tests.test_opt_uncanonicalize.test_local_alloc_dimshuffle ... ok #3170 theano.tensor.tests.test_opt_uncanonicalize.test_local_reshape_dimshuffle ... ok #3171 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_alloc ... ok #3172 theano.tensor.tests.test_opt_uncanonicalize.test_local_dimshuffle_subtensor ... ok #3173 test_args (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3174 test_basic_usage (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3175 test_binomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3176 test_binomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3177 test_broadcast_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3178 test_choice (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3179 test_default_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3180 test_dtype (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3181 test_dtype_normal_uniform_687 (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3182 test_infer_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3183 test_inplace_norun (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3184 test_inplace_optimization (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3185 test_mixed_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3186 test_mixed_shape_bcastable (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3187 test_multinomial (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3188 test_multinomial_tensor3_a (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3189 test_multinomial_tensor3_b (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3190 test_multinomial_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3191 test_no_inplace (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3192 test_normal (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3193 test_normal_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3194 test_permutation (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3195 test_permutation_helper (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3196 test_pkl (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3197 test_poisson (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3198 test_random_function_ndim (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3199 test_random_function_ndim_added (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3200 test_random_function_noshape_args (theano.tensor.tests.test_raw_random.T_random_function) ... ok ---------------------------------------------------------------------- Ran 100 tests in 498.367s OK (SKIP=2) 71% done in 506.020s (failed: 0) #3201 test_random_function_noshape_noargs (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3202 test_random_integers (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3203 test_random_integers_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3204 test_symbolic_shape (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3205 test_uniform (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3206 test_uniform_vector (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3207 test_vector_arguments (theano.tensor.tests.test_raw_random.T_random_function) ... ok #3208 test_basics (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3209 test_binomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3210 test_broadcast_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3211 test_choice (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3212 test_default_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3213 test_default_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3214 test_default_updates (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3215 test_dtype (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3216 test_get_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3217 test_get_value_internal_type (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3218 test_getitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3219 test_mixed_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3220 test_mixed_shape_bcastable (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3221 test_multinomial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3222 test_multinomial_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3223 test_multiple_rng_aliasing (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3224 test_ndim (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3225 test_normal (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3226 test_normal_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3227 test_permutation (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3228 test_poisson (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3229 test_random_integers (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3230 test_random_integers_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3231 test_random_state_transfer (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3232 test_seed_fn (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3233 test_set_value_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3234 test_setitem (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3235 test_shared_constructor_borrow (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3236 test_shuffle_row_elements (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3237 test_symbolic_shape (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3238 test_tutorial (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3239 test_uniform (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3240 test_uniform_vector (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3241 test_vector_arguments (theano.tensor.tests.test_shared_randomstreams.T_SharedRandomStreams) ... ok #3242 test_get_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3243 test_inplace_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3244 test_return_internal_type (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3245 test_set_value (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3246 test_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3247 test_shape_i (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3248 test_shared_do_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3249 test_shared_dont_alias (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3250 test_specify_shape (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3251 test_specify_shape_inplace (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3252 test_specify_shape_partial (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3253 test_values_eq (theano.tensor.tests.test_sharedvar.test_shared_options) ... ok #3254 theano.tensor.tests.test_sharedvar.test_scalar_shared_options ... ok #3255 test_numpy_2d (theano.tensor.tests.test_slinalg.TestKron) ... ok #3256 test_perform (theano.tensor.tests.test_slinalg.TestKron) ... ok #3257 test_infer_shape (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3258 test_solve_correctness (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3259 test_solve_dtype (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3260 test_solve_grad (theano.tensor.tests.test_slinalg.test_Solve) ... ok #3261 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(array([[ 3.43991435, -0.15664862, 0.70377978, -3.23871061, -0.05301427], ... ok #3262 theano.tensor.tests.test_slinalg.test_cholesky_indef ... ok #3263 theano.tensor.tests.test_slinalg.test_cholesky_grad ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... ok theano.tensor.tests.test_slinalg.test_cholesky_grad ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #3264 theano.tensor.tests.test_slinalg.test_cholesky_grad_indef ... /build/theano-1.0.3+dfsg/theano/tensor/basic.py:6592: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. result[diagonal_slice] = x ok #3265 theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([2, 2]), (2, 2)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([3, 3]), (3, 3)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok theano.tensor.tests.test_slinalg.test_cholesky_and_cholesky_grad_shape(array([5, 5]), (5, 5)) ... ok #3266 theano.tensor.tests.test_slinalg.test_eigvalsh ... ok #3267 theano.tensor.tests.test_slinalg.test_eigvalsh_grad ... ok #3268 theano.tensor.tests.test_slinalg.test_expm ... ok #3269 theano.tensor.tests.test_slinalg.test_expm_grad_1 ... ok #3270 theano.tensor.tests.test_slinalg.test_expm_grad_2 ... ok #3271 theano.tensor.tests.test_slinalg.test_expm_grad_3 ... ok #3272 test_sort (theano.tensor.tests.test_sort.SortInferShapeTester) ... ok #3273 test_argtopk_1d_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3274 test_argtopk_1d_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3275 test_argtopk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:285: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3276 test_argtopk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3277 test_argtopk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3278 test_argtopk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3279 test_argtopk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3280 test_argtopk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3281 test_argtopk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3282 test_argtopk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3283 test_argtopk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3284 test_argtopk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3285 test_argtopk_1d_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3286 test_argtopk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3287 test_argtopk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3288 test_argtopk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3289 test_argtopk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3290 test_argtopk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3291 test_argtopk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3292 test_argtopk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3293 test_argtopk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3294 test_argtopk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3295 test_argtopk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3296 test_argtopk_1d_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3297 test_argtopk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3298 test_argtopk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3299 test_argtopk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3300 test_argtopk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 122 tests in 80.129s OK 73% done in 88.175s (failed: 0) #3301 test_argtopk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:285: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3302 test_argtopk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3303 test_argtopk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3304 test_argtopk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3305 test_argtopk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3306 test_argtopk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3307 test_argtopk_1d_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3308 test_argtopk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3309 test_argtopk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3310 test_argtopk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3311 test_argtopk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3312 test_argtopk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3313 test_argtopk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3314 test_argtopk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3315 test_argtopk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3316 test_argtopk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3317 test_argtopk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3318 test_argtopk_1d_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3319 test_argtopk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3320 test_argtopk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3321 test_argtopk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3322 test_argtopk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3323 test_argtopk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3324 test_argtopk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3325 test_argtopk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3326 test_argtopk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3327 test_argtopk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3328 test_argtopk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3329 test_argtopk_1d_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3330 test_argtopk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3331 test_argtopk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3332 test_argtopk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3333 test_argtopk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3334 test_argtopk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3335 test_argtopk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3336 test_argtopk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3337 test_argtopk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3338 test_argtopk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3339 test_argtopk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3340 test_argtopk_1d_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3341 test_argtopk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3342 test_argtopk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3343 test_argtopk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3344 test_argtopk_1d_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3345 test_argtopk_1d_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3346 test_argtopk_1d_collision_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3347 test_argtopk_1d_collision_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3348 test_argtopk_1d_collision_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3349 test_argtopk_1d_collision_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3350 test_argtopk_1d_collision_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3351 test_argtopk_1d_collision_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3352 test_argtopk_1d_collision_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3353 test_argtopk_1d_collision_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3354 test_argtopk_1d_collision_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3355 test_argtopk_1d_collision_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3356 test_argtopk_1d_collision_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3357 test_argtopk_1d_collision_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3358 test_argtopk_1d_collision_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3359 test_argtopk_1d_collision_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3360 test_argtopk_1d_collision_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3361 test_argtopk_1d_collision_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3362 test_argtopk_1d_collision_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3363 test_argtopk_1d_collision_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3364 test_argtopk_1d_collision_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3365 test_argtopk_nd_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3366 test_argtopk_nd_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3367 test_argtopk_nd_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3368 test_argtopk_nd_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3369 test_argtopk_nd_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3370 test_argtopk_nd_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3371 test_argtopk_nd_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3372 test_argtopk_nd_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3373 test_argtopk_nd_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3374 test_argtopk_nd_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3375 test_argtopk_nd_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3376 test_argtopk_nd_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3377 test_argtopk_nd_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3378 test_argtopk_nd_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3379 test_argtopk_nd_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3380 test_argtopk_nd_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3381 test_argtopk_nd_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3382 test_argtopk_nd_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3383 test_argtopk_nd_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3384 test_argtopk_nd_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3385 test_argtopk_nd_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3386 test_argtopk_nd_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3387 test_argtopk_nd_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3388 test_argtopk_nd_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3389 test_argtopk_nd_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3390 test_argtopk_nd_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3391 test_argtopk_nd_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3392 test_argtopk_nd_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3393 test_argtopk_nd_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3394 test_argtopk_nd_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3395 test_argtopk_nd_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3396 test_argtopk_nd_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3397 test_argtopk_nd_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3398 test_argtopk_nd_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3399 test_argtopk_nd_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3400 test_argtopk_nd_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 22.319s OK 75% done in 30.130s (failed: 0) #3401 test_argtopk_nd_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3402 test_argtopk_nd_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3403 test_argtopk_nd_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3404 test_argtopk_nd_44 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:285: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3405 test_argtopk_nd_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3406 test_argtopk_nd_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3407 test_argtopk_nd_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3408 test_argtopk_nd_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3409 test_argtopk_nd_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3410 test_argtopk_nd_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3411 test_argtopk_nd_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3412 test_argtopk_nd_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3413 test_argtopk_sanity_0_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3414 test_argtopk_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3415 test_argtopk_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3416 test_argtopk_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3417 test_argtopk_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3418 test_argtopk_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3419 test_argtopk_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3420 test_argtopk_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3421 test_argtopk_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3422 test_argtopk_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3423 test_argtopk_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3424 test_argtopk_sanity_10_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3425 test_argtopk_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3426 test_argtopk_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3427 test_argtopk_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3428 test_argtopk_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3429 test_argtopk_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3430 test_argtopk_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3431 test_argtopk_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3432 test_argtopk_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3433 test_argtopk_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3434 test_argtopk_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3435 test_argtopk_sanity_11_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3436 test_argtopk_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3437 test_argtopk_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3438 test_argtopk_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3439 test_argtopk_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3440 test_argtopk_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3441 test_argtopk_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3442 test_argtopk_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3443 test_argtopk_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3444 test_argtopk_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3445 test_argtopk_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3446 test_argtopk_sanity_12_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3447 test_argtopk_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3448 test_argtopk_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3449 test_argtopk_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3450 test_argtopk_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3451 test_argtopk_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3452 test_argtopk_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3453 test_argtopk_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3454 test_argtopk_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3455 test_argtopk_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3456 test_argtopk_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3457 test_argtopk_sanity_13_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3458 test_argtopk_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3459 test_argtopk_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3460 test_argtopk_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3461 test_argtopk_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3462 test_argtopk_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3463 test_argtopk_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3464 test_argtopk_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3465 test_argtopk_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3466 test_argtopk_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3467 test_argtopk_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3468 test_argtopk_sanity_14_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3469 test_argtopk_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3470 test_argtopk_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3471 test_argtopk_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3472 test_argtopk_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3473 test_argtopk_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3474 test_argtopk_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3475 test_argtopk_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3476 test_argtopk_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3477 test_argtopk_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3478 test_argtopk_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3479 test_argtopk_sanity_15_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3480 test_argtopk_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3481 test_argtopk_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3482 test_argtopk_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3483 test_argtopk_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3484 test_argtopk_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3485 test_argtopk_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3486 test_argtopk_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3487 test_argtopk_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3488 test_argtopk_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3489 test_argtopk_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3490 test_argtopk_sanity_16_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3491 test_argtopk_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3492 test_argtopk_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3493 test_argtopk_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3494 test_argtopk_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3495 test_argtopk_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3496 test_argtopk_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3497 test_argtopk_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3498 test_argtopk_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3499 test_argtopk_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3500 test_argtopk_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 18.232s OK 78% done in 26.254s (failed: 0) #3501 test_argtopk_sanity_17_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3502 test_argtopk_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3503 test_argtopk_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3504 test_argtopk_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3505 test_argtopk_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3506 test_argtopk_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3507 test_argtopk_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3508 test_argtopk_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3509 test_argtopk_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3510 test_argtopk_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3511 test_argtopk_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3512 test_argtopk_sanity_18_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3513 test_argtopk_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3514 test_argtopk_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3515 test_argtopk_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3516 test_argtopk_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3517 test_argtopk_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3518 test_argtopk_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3519 test_argtopk_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3520 test_argtopk_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3521 test_argtopk_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3522 test_argtopk_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3523 test_argtopk_sanity_19_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3524 test_argtopk_sanity_1_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3525 test_argtopk_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3526 test_argtopk_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3527 test_argtopk_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3528 test_argtopk_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3529 test_argtopk_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3530 test_argtopk_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3531 test_argtopk_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3532 test_argtopk_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3533 test_argtopk_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3534 test_argtopk_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3535 test_argtopk_sanity_20_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3536 test_argtopk_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3537 test_argtopk_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3538 test_argtopk_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3539 test_argtopk_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3540 test_argtopk_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3541 test_argtopk_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3542 test_argtopk_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3543 test_argtopk_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3544 test_argtopk_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3545 test_argtopk_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3546 test_argtopk_sanity_21_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3547 test_argtopk_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3548 test_argtopk_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3549 test_argtopk_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3550 test_argtopk_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3551 test_argtopk_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3552 test_argtopk_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3553 test_argtopk_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3554 test_argtopk_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3555 test_argtopk_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3556 test_argtopk_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3557 test_argtopk_sanity_22_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3558 test_argtopk_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3559 test_argtopk_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3560 test_argtopk_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3561 test_argtopk_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3562 test_argtopk_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3563 test_argtopk_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3564 test_argtopk_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3565 test_argtopk_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3566 test_argtopk_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3567 test_argtopk_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3568 test_argtopk_sanity_23_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3569 test_argtopk_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3570 test_argtopk_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3571 test_argtopk_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3572 test_argtopk_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3573 test_argtopk_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3574 test_argtopk_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3575 test_argtopk_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3576 test_argtopk_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3577 test_argtopk_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3578 test_argtopk_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3579 test_argtopk_sanity_24_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3580 test_argtopk_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3581 test_argtopk_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3582 test_argtopk_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3583 test_argtopk_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3584 test_argtopk_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3585 test_argtopk_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3586 test_argtopk_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3587 test_argtopk_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3588 test_argtopk_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3589 test_argtopk_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3590 test_argtopk_sanity_25_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3591 test_argtopk_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3592 test_argtopk_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3593 test_argtopk_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3594 test_argtopk_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3595 test_argtopk_sanity_26_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3596 test_argtopk_sanity_27_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3597 test_argtopk_sanity_28_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3598 test_argtopk_sanity_29_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3599 test_argtopk_sanity_2_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3600 test_argtopk_sanity_30_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 17.205s OK 80% done in 25.312s (failed: 0) #3601 test_argtopk_sanity_31_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3602 test_argtopk_sanity_32_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3603 test_argtopk_sanity_33_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3604 test_argtopk_sanity_34_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3605 test_argtopk_sanity_35_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3606 test_argtopk_sanity_36_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3607 test_argtopk_sanity_37_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3608 test_argtopk_sanity_38_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3609 test_argtopk_sanity_39_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3610 test_argtopk_sanity_3_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3611 test_argtopk_sanity_40_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3612 test_argtopk_sanity_41_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3613 test_argtopk_sanity_42_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3614 test_argtopk_sanity_43_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3615 test_argtopk_sanity_44_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3616 test_argtopk_sanity_45_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3617 test_argtopk_sanity_46_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3618 test_argtopk_sanity_47_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3619 test_argtopk_sanity_48_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3620 test_argtopk_sanity_49_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3621 test_argtopk_sanity_4_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3622 test_argtopk_sanity_50_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3623 test_argtopk_sanity_51_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3624 test_argtopk_sanity_52_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3625 test_argtopk_sanity_53_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3626 test_argtopk_sanity_54_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3627 test_argtopk_sanity_55_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3628 test_argtopk_sanity_56_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3629 test_argtopk_sanity_57_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3630 test_argtopk_sanity_58_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3631 test_argtopk_sanity_59_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3632 test_argtopk_sanity_5_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3633 test_argtopk_sanity_60_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3634 test_argtopk_sanity_61_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3635 test_argtopk_sanity_62_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3636 test_argtopk_sanity_63_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3637 test_argtopk_sanity_64_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3638 test_argtopk_sanity_65_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3639 test_argtopk_sanity_66_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3640 test_argtopk_sanity_67_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3641 test_argtopk_sanity_68_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3642 test_argtopk_sanity_69_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3643 test_argtopk_sanity_6_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3644 test_argtopk_sanity_70_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3645 test_argtopk_sanity_71_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3646 test_argtopk_sanity_72_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3647 test_argtopk_sanity_73_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3648 test_argtopk_sanity_74_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3649 test_argtopk_sanity_75_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3650 test_argtopk_sanity_76_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3651 test_argtopk_sanity_77_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3652 test_argtopk_sanity_78_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3653 test_argtopk_sanity_79_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3654 test_argtopk_sanity_7_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3655 test_argtopk_sanity_80_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3656 test_argtopk_sanity_81_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3657 test_argtopk_sanity_82_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3658 test_argtopk_sanity_83_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3659 test_argtopk_sanity_84_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3660 test_argtopk_sanity_85_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3661 test_argtopk_sanity_86_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3662 test_argtopk_sanity_87_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3663 test_argtopk_sanity_88_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3664 test_argtopk_sanity_89_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3665 test_argtopk_sanity_8_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3666 test_argtopk_sanity_90_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3667 test_argtopk_sanity_91_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3668 test_argtopk_sanity_92_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3669 test_argtopk_sanity_93_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3670 test_argtopk_sanity_94_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3671 test_argtopk_sanity_95_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3672 test_argtopk_sanity_96_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3673 test_argtopk_sanity_97_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3674 test_argtopk_sanity_98_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3675 test_argtopk_sanity_99_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3676 test_argtopk_sanity_9_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3677 test_combined_1d_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3678 test_combined_1d_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3679 test_combined_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3680 test_combined_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3681 test_combined_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3682 test_combined_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3683 test_combined_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3684 test_combined_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3685 test_combined_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3686 test_combined_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3687 test_combined_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3688 test_combined_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3689 test_combined_1d_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3690 test_combined_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3691 test_combined_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3692 test_combined_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3693 test_combined_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3694 test_combined_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3695 test_combined_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3696 test_combined_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3697 test_combined_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3698 test_combined_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3699 test_combined_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3700 test_combined_1d_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 17.324s OK 82% done in 25.448s (failed: 0) #3701 test_combined_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3702 test_combined_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3703 test_combined_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #3704 test_combined_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3705 test_combined_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3706 test_combined_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3707 test_combined_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3708 test_combined_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3709 test_combined_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3710 test_combined_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3711 test_combined_1d_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3712 test_combined_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3713 test_combined_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3714 test_combined_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3715 test_combined_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3716 test_combined_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3717 test_combined_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3718 test_combined_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3719 test_combined_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3720 test_combined_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3721 test_combined_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3722 test_combined_1d_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3723 test_combined_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3724 test_combined_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3725 test_combined_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3726 test_combined_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3727 test_combined_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3728 test_combined_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3729 test_combined_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3730 test_combined_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3731 test_combined_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3732 test_combined_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3733 test_combined_1d_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3734 test_combined_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3735 test_combined_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3736 test_combined_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3737 test_combined_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3738 test_combined_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3739 test_combined_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3740 test_combined_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3741 test_combined_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3742 test_combined_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3743 test_combined_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3744 test_combined_1d_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3745 test_combined_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3746 test_combined_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3747 test_combined_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3748 test_combined_1d_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3749 test_combined_1d_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3750 test_combined_sanity_0_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3751 test_combined_sanity_100_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3752 test_combined_sanity_101_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3753 test_combined_sanity_102_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3754 test_combined_sanity_103_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3755 test_combined_sanity_104_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3756 test_combined_sanity_105_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3757 test_combined_sanity_106_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3758 test_combined_sanity_107_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3759 test_combined_sanity_108_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3760 test_combined_sanity_109_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3761 test_combined_sanity_10_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3762 test_combined_sanity_110_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3763 test_combined_sanity_111_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3764 test_combined_sanity_112_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3765 test_combined_sanity_113_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3766 test_combined_sanity_114_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3767 test_combined_sanity_115_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3768 test_combined_sanity_116_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3769 test_combined_sanity_117_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3770 test_combined_sanity_118_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3771 test_combined_sanity_119_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3772 test_combined_sanity_11_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3773 test_combined_sanity_120_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3774 test_combined_sanity_121_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3775 test_combined_sanity_122_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3776 test_combined_sanity_123_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3777 test_combined_sanity_124_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3778 test_combined_sanity_125_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3779 test_combined_sanity_126_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3780 test_combined_sanity_127_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3781 test_combined_sanity_128_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3782 test_combined_sanity_129_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3783 test_combined_sanity_12_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3784 test_combined_sanity_130_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3785 test_combined_sanity_131_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3786 test_combined_sanity_132_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3787 test_combined_sanity_133_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3788 test_combined_sanity_134_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3789 test_combined_sanity_135_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3790 test_combined_sanity_136_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3791 test_combined_sanity_137_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3792 test_combined_sanity_138_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3793 test_combined_sanity_139_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3794 test_combined_sanity_13_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3795 test_combined_sanity_140_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3796 test_combined_sanity_141_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3797 test_combined_sanity_142_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3798 test_combined_sanity_143_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3799 test_combined_sanity_144_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3800 test_combined_sanity_145_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 16.967s OK 84% done in 24.980s (failed: 0) #3801 test_combined_sanity_146_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3802 test_combined_sanity_147_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3803 test_combined_sanity_148_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3804 test_combined_sanity_149_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3805 test_combined_sanity_14_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3806 test_combined_sanity_150_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3807 test_combined_sanity_151_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3808 test_combined_sanity_152_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3809 test_combined_sanity_153_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3810 test_combined_sanity_154_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3811 test_combined_sanity_155_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3812 test_combined_sanity_156_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3813 test_combined_sanity_157_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3814 test_combined_sanity_158_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3815 test_combined_sanity_159_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3816 test_combined_sanity_15_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3817 test_combined_sanity_160_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3818 test_combined_sanity_161_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3819 test_combined_sanity_162_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3820 test_combined_sanity_163_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3821 test_combined_sanity_164_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3822 test_combined_sanity_165_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3823 test_combined_sanity_166_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3824 test_combined_sanity_167_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3825 test_combined_sanity_168_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3826 test_combined_sanity_169_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3827 test_combined_sanity_16_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3828 test_combined_sanity_170_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3829 test_combined_sanity_171_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3830 test_combined_sanity_172_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3831 test_combined_sanity_173_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3832 test_combined_sanity_174_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3833 test_combined_sanity_175_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3834 test_combined_sanity_176_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3835 test_combined_sanity_177_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3836 test_combined_sanity_178_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3837 test_combined_sanity_179_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3838 test_combined_sanity_17_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3839 test_combined_sanity_180_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3840 test_combined_sanity_181_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3841 test_combined_sanity_182_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3842 test_combined_sanity_183_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3843 test_combined_sanity_184_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3844 test_combined_sanity_185_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3845 test_combined_sanity_186_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3846 test_combined_sanity_187_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3847 test_combined_sanity_188_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3848 test_combined_sanity_189_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3849 test_combined_sanity_18_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3850 test_combined_sanity_190_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3851 test_combined_sanity_191_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3852 test_combined_sanity_192_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3853 test_combined_sanity_193_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3854 test_combined_sanity_194_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3855 test_combined_sanity_195_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3856 test_combined_sanity_196_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3857 test_combined_sanity_197_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3858 test_combined_sanity_198_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3859 test_combined_sanity_199_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3860 test_combined_sanity_19_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3861 test_combined_sanity_1_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3862 test_combined_sanity_200_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3863 test_combined_sanity_201_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3864 test_combined_sanity_202_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3865 test_combined_sanity_203_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3866 test_combined_sanity_204_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3867 test_combined_sanity_205_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3868 test_combined_sanity_206_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3869 test_combined_sanity_207_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3870 test_combined_sanity_208_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3871 test_combined_sanity_209_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3872 test_combined_sanity_20_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3873 test_combined_sanity_210_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3874 test_combined_sanity_211_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3875 test_combined_sanity_212_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3876 test_combined_sanity_213_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3877 test_combined_sanity_214_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3878 test_combined_sanity_215_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3879 test_combined_sanity_216_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3880 test_combined_sanity_217_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3881 test_combined_sanity_218_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3882 test_combined_sanity_219_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3883 test_combined_sanity_21_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3884 test_combined_sanity_220_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3885 test_combined_sanity_221_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3886 test_combined_sanity_222_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3887 test_combined_sanity_223_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3888 test_combined_sanity_224_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3889 test_combined_sanity_225_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3890 test_combined_sanity_226_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3891 test_combined_sanity_227_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3892 test_combined_sanity_228_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3893 test_combined_sanity_229_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3894 test_combined_sanity_22_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3895 test_combined_sanity_230_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3896 test_combined_sanity_231_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3897 test_combined_sanity_232_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3898 test_combined_sanity_233_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3899 test_combined_sanity_234_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3900 test_combined_sanity_235_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 16.409s OK 87% done in 24.157s (failed: 0) #3901 test_combined_sanity_236_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3902 test_combined_sanity_237_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3903 test_combined_sanity_238_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3904 test_combined_sanity_239_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3905 test_combined_sanity_23_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3906 test_combined_sanity_240_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3907 test_combined_sanity_241_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3908 test_combined_sanity_242_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3909 test_combined_sanity_243_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3910 test_combined_sanity_244_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3911 test_combined_sanity_245_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3912 test_combined_sanity_246_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3913 test_combined_sanity_247_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3914 test_combined_sanity_248_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3915 test_combined_sanity_249_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3916 test_combined_sanity_24_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3917 test_combined_sanity_250_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3918 test_combined_sanity_251_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3919 test_combined_sanity_252_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3920 test_combined_sanity_253_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3921 test_combined_sanity_254_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3922 test_combined_sanity_255_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3923 test_combined_sanity_256_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3924 test_combined_sanity_257_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3925 test_combined_sanity_258_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3926 test_combined_sanity_259_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3927 test_combined_sanity_25_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3928 test_combined_sanity_260_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3929 test_combined_sanity_261_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3930 test_combined_sanity_262_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3931 test_combined_sanity_263_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3932 test_combined_sanity_26_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3933 test_combined_sanity_27_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3934 test_combined_sanity_28_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3935 test_combined_sanity_29_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3936 test_combined_sanity_2_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3937 test_combined_sanity_30_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3938 test_combined_sanity_31_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3939 test_combined_sanity_32_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3940 test_combined_sanity_33_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3941 test_combined_sanity_34_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3942 test_combined_sanity_35_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3943 test_combined_sanity_36_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3944 test_combined_sanity_37_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3945 test_combined_sanity_38_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3946 test_combined_sanity_39_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3947 test_combined_sanity_3_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3948 test_combined_sanity_40_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3949 test_combined_sanity_41_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3950 test_combined_sanity_42_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3951 test_combined_sanity_43_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3952 test_combined_sanity_44_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3953 test_combined_sanity_45_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3954 test_combined_sanity_46_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3955 test_combined_sanity_47_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3956 test_combined_sanity_48_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3957 test_combined_sanity_49_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3958 test_combined_sanity_4_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3959 test_combined_sanity_50_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3960 test_combined_sanity_51_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3961 test_combined_sanity_52_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3962 test_combined_sanity_53_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3963 test_combined_sanity_54_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3964 test_combined_sanity_55_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3965 test_combined_sanity_56_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3966 test_combined_sanity_57_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3967 test_combined_sanity_58_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3968 test_combined_sanity_59_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3969 test_combined_sanity_5_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3970 test_combined_sanity_60_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3971 test_combined_sanity_61_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3972 test_combined_sanity_62_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3973 test_combined_sanity_63_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3974 test_combined_sanity_64_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3975 test_combined_sanity_65_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3976 test_combined_sanity_66_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3977 test_combined_sanity_67_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3978 test_combined_sanity_68_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3979 test_combined_sanity_69_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3980 test_combined_sanity_6_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3981 test_combined_sanity_70_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3982 test_combined_sanity_71_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3983 test_combined_sanity_72_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3984 test_combined_sanity_73_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3985 test_combined_sanity_74_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3986 test_combined_sanity_75_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3987 test_combined_sanity_76_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3988 test_combined_sanity_77_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3989 test_combined_sanity_78_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3990 test_combined_sanity_79_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3991 test_combined_sanity_7_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3992 test_combined_sanity_80_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3993 test_combined_sanity_81_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3994 test_combined_sanity_82_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3995 test_combined_sanity_83_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3996 test_combined_sanity_84_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3997 test_combined_sanity_85_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3998 test_combined_sanity_86_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #3999 test_combined_sanity_87_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4000 test_combined_sanity_88_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 16.297s OK 89% done in 24.035s (failed: 0) #4001 test_combined_sanity_89_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4002 test_combined_sanity_8_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4003 test_combined_sanity_90_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4004 test_combined_sanity_91_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4005 test_combined_sanity_92_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4006 test_combined_sanity_93_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4007 test_combined_sanity_94_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4008 test_combined_sanity_95_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4009 test_combined_sanity_96_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4010 test_combined_sanity_97_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4011 test_combined_sanity_98_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4012 test_combined_sanity_99_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4013 test_combined_sanity_9_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4014 test_grad_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4015 test_grad_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4016 test_grad_10 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #4017 test_grad_11 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:274: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zv = np.partition(x, -k, axis=axis)[idx] /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4018 test_grad_12 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #4019 test_grad_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4020 test_grad_14 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:274: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zv = np.partition(x, -k, axis=axis)[idx] /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4021 test_grad_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4022 test_grad_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4023 test_grad_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4024 test_grad_18 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #4025 test_grad_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4026 test_grad_2 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:274: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zv = np.partition(x, -k, axis=axis)[idx] /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4027 test_grad_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4028 test_grad_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4029 test_grad_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4030 test_grad_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4031 test_grad_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4032 test_grad_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4033 test_grad_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4034 test_grad_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4035 test_grad_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4036 test_grad_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4037 test_grad_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4038 test_topk_1d_0 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4039 test_topk_1d_1 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4040 test_topk_1d_10 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4041 test_topk_1d_11 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4042 test_topk_1d_12 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4043 test_topk_1d_13 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4044 test_topk_1d_14 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4045 test_topk_1d_15 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4046 test_topk_1d_16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4047 test_topk_1d_17 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4048 test_topk_1d_18 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4049 test_topk_1d_19 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4050 test_topk_1d_2 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4051 test_topk_1d_20 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4052 test_topk_1d_21 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4053 test_topk_1d_22 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4054 test_topk_1d_23 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4055 test_topk_1d_24 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4056 test_topk_1d_25 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4057 test_topk_1d_26 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4058 test_topk_1d_27 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4059 test_topk_1d_28 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4060 test_topk_1d_29 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4061 test_topk_1d_3 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4062 test_topk_1d_30 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4063 test_topk_1d_31 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4064 test_topk_1d_32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4065 test_topk_1d_33 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4066 test_topk_1d_34 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4067 test_topk_1d_35 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4068 test_topk_1d_36 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4069 test_topk_1d_37 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4070 test_topk_1d_38 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4071 test_topk_1d_39 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4072 test_topk_1d_4 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4073 test_topk_1d_40 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4074 test_topk_1d_41 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4075 test_topk_1d_42 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4076 test_topk_1d_43 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4077 test_topk_1d_44 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4078 test_topk_1d_45 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4079 test_topk_1d_46 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4080 test_topk_1d_47 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4081 test_topk_1d_48 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4082 test_topk_1d_49 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4083 test_topk_1d_5 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4084 test_topk_1d_50 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4085 test_topk_1d_51 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4086 test_topk_1d_52 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4087 test_topk_1d_53 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4088 test_topk_1d_54 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4089 test_topk_1d_55 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4090 test_topk_1d_56 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4091 test_topk_1d_57 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4092 test_topk_1d_58 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4093 test_topk_1d_59 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4094 test_topk_1d_6 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4095 test_topk_1d_60 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4096 test_topk_1d_61 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4097 test_topk_1d_62 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4098 test_topk_1d_63 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4099 test_topk_1d_64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4100 test_topk_1d_65 (theano.tensor.tests.test_sort.Test_TopK) ... ok ---------------------------------------------------------------------- Ran 100 tests in 151.839s OK 91% done in 160.733s (failed: 0) #4101 test_topk_1d_66 (theano.tensor.tests.test_sort.Test_TopK) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:274: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zv = np.partition(x, -k, axis=axis)[idx] ok #4102 test_topk_1d_67 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4103 test_topk_1d_68 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4104 test_topk_1d_69 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4105 test_topk_1d_7 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4106 test_topk_1d_70 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4107 test_topk_1d_71 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4108 test_topk_1d_72 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4109 test_topk_1d_73 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4110 test_topk_1d_74 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4111 test_topk_1d_75 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4112 test_topk_1d_76 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4113 test_topk_1d_77 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4114 test_topk_1d_78 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4115 test_topk_1d_79 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4116 test_topk_1d_8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4117 test_topk_1d_80 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4118 test_topk_1d_81 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4119 test_topk_1d_82 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4120 test_topk_1d_83 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4121 test_topk_1d_84 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4122 test_topk_1d_9 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4123 test_topk_sanity_0_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4124 test_topk_sanity_10_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4125 test_topk_sanity_11_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4126 test_topk_sanity_12_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4127 test_topk_sanity_13_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4128 test_topk_sanity_14_uint8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4129 test_topk_sanity_15_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4130 test_topk_sanity_16_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4131 test_topk_sanity_17_uint16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4132 test_topk_sanity_18_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4133 test_topk_sanity_19_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4134 test_topk_sanity_1_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4135 test_topk_sanity_20_uint32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4136 test_topk_sanity_21_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4137 test_topk_sanity_22_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4138 test_topk_sanity_23_uint64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4139 test_topk_sanity_24_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4140 test_topk_sanity_25_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4141 test_topk_sanity_26_float16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4142 test_topk_sanity_27_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4143 test_topk_sanity_28_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4144 test_topk_sanity_29_float32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4145 test_topk_sanity_2_int8 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4146 test_topk_sanity_30_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4147 test_topk_sanity_31_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4148 test_topk_sanity_32_float64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4149 test_topk_sanity_3_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4150 test_topk_sanity_4_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4151 test_topk_sanity_5_int16 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4152 test_topk_sanity_6_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4153 test_topk_sanity_7_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4154 test_topk_sanity_8_int32 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4155 test_topk_sanity_9_int64 (theano.tensor.tests.test_sort.Test_TopK) ... ok #4156 test1 (theano.tensor.tests.test_sort.Test_sort) ... ok #4157 test2 (theano.tensor.tests.test_sort.Test_sort) ... ok #4158 test3 (theano.tensor.tests.test_sort.Test_sort) ... ok #4159 test4 (theano.tensor.tests.test_sort.Test_sort) ... ok #4160 test5 (theano.tensor.tests.test_sort.Test_sort) ... ok #4161 test_None (theano.tensor.tests.test_sort.Test_sort) ... ok #4162 test_grad_negative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4163 test_grad_negative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4164 test_grad_negative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4165 test_grad_none_axis (theano.tensor.tests.test_sort.Test_sort) ... ok #4166 test_grad_nonnegative_axis_2d (theano.tensor.tests.test_sort.Test_sort) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4167 test_grad_nonnegative_axis_3d (theano.tensor.tests.test_sort.Test_sort) ... ok #4168 test_grad_nonnegative_axis_4d (theano.tensor.tests.test_sort.Test_sort) ... ok #4169 test_grad_vector (theano.tensor.tests.test_sort.Test_sort) ... ok #4170 test_combined_infer_shape_0 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4171 test_combined_infer_shape_1 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4172 test_combined_infer_shape_10 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4173 test_combined_infer_shape_11 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4174 test_combined_infer_shape_12 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4175 test_combined_infer_shape_13 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4176 test_combined_infer_shape_14 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4177 test_combined_infer_shape_15 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4178 test_combined_infer_shape_16 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4179 test_combined_infer_shape_17 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... /build/theano-1.0.3+dfsg/theano/tensor/sort.py:277: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. zi = np.argpartition(x, -k, axis=axis)[idx] ok #4180 test_combined_infer_shape_18 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4181 test_combined_infer_shape_19 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4182 test_combined_infer_shape_2 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4183 test_combined_infer_shape_3 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4184 test_combined_infer_shape_4 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4185 test_combined_infer_shape_5 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4186 test_combined_infer_shape_6 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4187 test_combined_infer_shape_7 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4188 test_combined_infer_shape_8 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4189 test_combined_infer_shape_9 (theano.tensor.tests.test_sort.TopKInferShapeTester) ... ok #4190 theano.tensor.tests.test_sort.test_argsort ... ok #4191 theano.tensor.tests.test_sort.test_argsort_grad ... ok #4192 test0_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4193 test1_0_dims (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4194 test1_err_bounds (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4195 test1_err_invalid (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4196 test1_err_subslice (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4197 test1_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4198 test1_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4199 test1_ok_range_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4200 test1_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok ---------------------------------------------------------------------- Ran 100 tests in 100.701s OK 93% done in 110.213s (failed: 0) #4201 test2_err_bounds0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4202 test2_err_bounds1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4203 test2_ok_col (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4204 test2_ok_cols_infinite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4205 test2_ok_elem (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4206 test2_ok_range_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4207 test2_ok_row (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4208 test2_ok_rows_finite (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4209 test2_ok_strided (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4210 test3_ok_mat (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4211 test_adv1_inc_sub_notlastdim (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4212 test_adv1_inc_sub_notlastdim_1_2dval_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4213 test_adv1_inc_sub_notlastdim_1_2dval_no_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4214 test_adv1_inc_sub_notlastdim_2didx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4215 test_adv_constant_arg (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4216 test_adv_sub1_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4217 test_adv_sub1_idx_broadcast (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4218 test_advanced1_inc_and_set (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4219 test_boolean (theano.tensor.tests.test_subtensor.T_subtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) /build/theano-1.0.3+dfsg/theano/tensor/tests/test_subtensor.py:363: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. x[idx] += a ok #4220 test_ellipsis (theano.tensor.tests.test_subtensor.T_subtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4221 test_err_bound_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4222 test_err_invalid_2list_dtype (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4223 test_err_invalid_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4224 test_grad_0d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4225 test_grad_1d (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4226 test_grad_2d_inc_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4227 test_grad_advanced_inc_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4228 test_grad_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4229 test_inc_and_set_subtensor (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4230 test_list_slice (theano.tensor.tests.test_subtensor.T_subtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/tests/test_subtensor.py:323: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. np.allclose(res, x[[slice(1, -1)] * x.ndim]) ok #4231 test_long (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4232 test_long_too_big (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4233 test_newaxis (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4234 test_noncontiguous_idx (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4235 test_ok_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4236 test_shape_i_const (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4237 test_shape_i_scalar (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4238 test_shape_list (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4239 test_slice_canonical_form_0 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4240 test_slice_canonical_form_1 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4241 test_slice_canonical_form_2 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4242 test_slice_canonical_form_3 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4243 test_slice_canonical_form_4 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4244 test_slice_canonical_form_5 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4245 test_slice_canonical_form_6 (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4246 test_slice_symbol (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4247 test_take (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4248 test_wrong_exception_regression (theano.tensor.tests.test_subtensor.T_subtensor) ... ok #4249 test_adv_grouped (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4250 test_adv_sub_3d (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4251 test_adv_sub_slice (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4252 test_adv_subtensor_w_int_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4253 test_adv_subtensor_w_matrix_and_int (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4254 test_adv_subtensor_w_matrix_and_none (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4255 test_adv_subtensor_w_none_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4256 test_adv_subtensor_w_slice_and_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4257 test_advanced_indexing (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4258 test_advinc_subtensor (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4259 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4260 test_grad (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4261 test_inc_adv_subtensor1_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4262 test_inc_adv_subtensor_w_2vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4263 test_inc_adv_subtensor_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4264 test_inc_adv_subtensor_with_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4265 test_inc_adv_subtensor_with_index_broadcasting (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4266 test_index_into_mat_w_row (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4267 test_index_into_vec_w_matrix (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4268 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4269 test_index_w_int_and_vec (theano.tensor.tests.test_subtensor.TestAdvancedSubtensor) ... ok #4270 test_1d_inc_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4271 test_1d_inc_adv_selection_w_broadcasting (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4272 test_1d_set_adv_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4273 test_assigning_matrix_to_vector_selection (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4274 test_cant_adv_idx_into_scalar (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4275 test_inc_bcastableidx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4276 test_index_into_vec_w_vec (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4277 test_matrix_idx (theano.tensor.tests.test_subtensor.TestIncSubtensor1) ... ok #4278 test_adv_sub (theano.tensor.tests.test_subtensor.TestInferShape) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4279 test_boolean (theano.tensor.tests.test_subtensor.TestInferShape) ... ok #4280 test_infer_shape (theano.tensor.tests.test_subtensor.TestInferShape) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. out[0][inputs[2:]] = inputs[1] ok #4281 theano.tensor.tests.test_type_other.test_make_slice_merge ... ok #4282 theano.tensor.tests.test_type_other.test_none_Constant ... ok #4283 test_err (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4284 test_simple (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4285 test_subtensor (theano.tensor.tests.test_utils.Tshape_of_variables) ... ok #4286 theano.tensor.tests.test_utils.test_hash_from_ndarray ... ok #4287 theano.tensor.tests.test_var.test_numpy_method ... ok #4288 theano.tensor.tests.test_var.test_empty_list_indexing ... ok #4289 theano.tensor.tests.test_var.test_copy ... ok #4290 theano.tensor.tests.test_var.test_None_dimShuffle_replace ... ok #4291 test0 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok #4292 test1 (theano.tensor.tests.test_xlogx.T_XlogX) ... ok #4293 test2 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok #4294 test3 (theano.tensor.tests.test_xlogx.T_XlogY0) ... ok #4295 test_correct_answer (theano.typed_list.tests.test_basic.TestMakeList) ... ok #4296 test_wrong_shape (theano.typed_list.tests.test_basic.TestMakeList) ... ok #4297 test_inplace (theano.typed_list.tests.test_basic.test_append) ... ok #4298 test_interfaces (theano.typed_list.tests.test_basic.test_append) ... ok #4299 test_sanity_check (theano.typed_list.tests.test_basic.test_append) ... ok #4300 test_interface (theano.typed_list.tests.test_basic.test_count) ... ok ---------------------------------------------------------------------- Ran 100 tests in 322.349s OK 96% done in 330.998s (failed: 0) #4301 test_non_tensor_type (theano.typed_list.tests.test_basic.test_count) ... ok #4302 test_sanity_check (theano.typed_list.tests.test_basic.test_count) ... ok #4303 test_sparse (theano.typed_list.tests.test_basic.test_count) ... ok #4304 test_inplace (theano.typed_list.tests.test_basic.test_extend) ... ok #4305 test_interface (theano.typed_list.tests.test_basic.test_extend) ... ok #4306 test_sanity_check (theano.typed_list.tests.test_basic.test_extend) ... ok #4307 test_constant_input (theano.typed_list.tests.test_basic.test_get_item) ... ok #4308 test_interface (theano.typed_list.tests.test_basic.test_get_item) ... ok #4309 test_sanity_check_single (theano.typed_list.tests.test_basic.test_get_item) ... ok #4310 test_sanity_check_slice (theano.typed_list.tests.test_basic.test_get_item) ... ok #4311 test_wrong_input (theano.typed_list.tests.test_basic.test_get_item) ... ok #4312 test_interface (theano.typed_list.tests.test_basic.test_index) ... ok #4313 test_non_tensor_type (theano.typed_list.tests.test_basic.test_index) ... ok #4314 test_sanity_check (theano.typed_list.tests.test_basic.test_index) ... ok #4315 test_sparse (theano.typed_list.tests.test_basic.test_index) ... ok #4316 test_inplace (theano.typed_list.tests.test_basic.test_insert) ... ok #4317 test_interface (theano.typed_list.tests.test_basic.test_insert) ... ok #4318 test_sanity_check (theano.typed_list.tests.test_basic.test_insert) ... ok #4319 test_interface (theano.typed_list.tests.test_basic.test_length) ... ok #4320 test_sanity_check (theano.typed_list.tests.test_basic.test_length) ... ok #4321 test_inplace (theano.typed_list.tests.test_basic.test_remove) ... ok #4322 test_interface (theano.typed_list.tests.test_basic.test_remove) ... ok #4323 test_sanity_check (theano.typed_list.tests.test_basic.test_remove) ... ok #4324 test_inplace (theano.typed_list.tests.test_basic.test_reverse) ... ok #4325 test_interface (theano.typed_list.tests.test_basic.test_reverse) ... ok #4326 test_sanity_check (theano.typed_list.tests.test_basic.test_reverse) ... ok #4327 test_append_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4328 test_extend_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4329 test_insert_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4330 test_remove_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4331 test_reverse_inplace (theano.typed_list.tests.test_opt.test_inplace) ... ok #4332 theano.typed_list.tests.test_opt.test_constant_folding ... ok #4333 test_basic_nested_list (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4334 test_comparison_different_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4335 test_comparison_uneven_nested (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4336 test_filter_sanity_check (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4337 test_get_depth (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4338 test_intern_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4339 test_nested_list_arg (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4340 test_not_a_list_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4341 test_type_equality (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4342 test_variable_is_Typed_List_variable (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4343 test_wrong_input_on_creation (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4344 test_wrong_input_on_filter (theano.typed_list.tests.test_type.test_typed_list_type) ... ok #4345 test_scipy_paper_example1 (theano.tests.diverse_tests.T_scipy) ... ok #4346 This just sees if things compile well and if they run ... ok #4347 theano.tests.test_2nd_order_grads.test001_jacobian_vector ... ok #4348 theano.tests.test_2nd_order_grads.test002_jacobian_matrix ... ok #4349 theano.tests.test_2nd_order_grads.test003_jacobian_scalar ... ok #4350 theano.tests.test_2nd_order_grads.test004_hessian ... ok #4351 theano.tests.test_2nd_order_grads.test_jacobian_disconnected_inputs ... ok #4352 test_connection_pattern (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4353 test_fprop (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4354 test_grad (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4355 test_infer_shape (theano.tests.test_breakpoint.TestPdbBreakpoint) ... ok #4356 test_invalid_default (theano.tests.test_config.T_config) ... ok #4357 theano.tests.test_determinism.test_determinism_1 ... ok #4358 test_composing_function (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4359 test_debug_mode_dict (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4360 test_debug_mode_list (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4361 test_input_named_variables (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4362 test_key_string_requirement (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4363 test_output_dictionary (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4364 test_output_list_still_works (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4365 test_output_order_sorted (theano.tests.test_dictionary_output.dictionary_output_checker) ... ok #4366 theano.tests.test_flake8.test_format_flake8 ... SKIP: flake8 is not installed #4367 test_grad (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.7/unittest/case.py:615: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. testMethod() ok #4368 test_op_removed (theano.tests.test_gradient.TestConsiderConstant) ... /usr/lib/python3.7/unittest/case.py:615: UserWarning: consider_constant() is deprecated, use zero_grad() or disconnected_grad() instead. testMethod() ok #4369 test_connection_pattern (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4370 test_disconnected_paths (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4371 test_grad (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4372 test_op_removed (theano.tests.test_gradient.TestDisconnectedGrad) ... ok #4373 test_grad (theano.tests.test_gradient.TestZeroGrad) ... ok #4374 test_op_removed (theano.tests.test_gradient.TestZeroGrad) ... ok #4375 test_rop (theano.tests.test_gradient.TestZeroGrad) ... ok #4376 test_disconnected_nan (theano.tests.test_gradient.test_grad) ... ok #4377 test_downcast_dtype (theano.tests.test_gradient.test_grad) ... ok #4378 test_grad_constant (theano.tests.test_gradient.test_grad) ... ok #4379 test_grad_cubic (theano.tests.test_gradient.test_grad) ... ok #4380 test_grad_disconnected (theano.tests.test_gradient.test_grad) ... ok #4381 test_grad_duplicate_input (theano.tests.test_gradient.test_grad) ... ok #4382 test_grad_grad_cubic (theano.tests.test_gradient.test_grad) ... ok #4383 test_grad_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok #4384 test_grad_int (theano.tests.test_gradient.test_grad) ... ok #4385 test_grad_name (theano.tests.test_gradient.test_grad) ... ok #4386 test_grad_quadratic (theano.tests.test_gradient.test_grad) ... ok #4387 test_grad_quadratic_vector (theano.tests.test_gradient.test_grad) ... ok #4388 test_undefined_grad_func (theano.tests.test_gradient.test_grad) ... ok #4389 test_undefined_grad_grad (theano.tests.test_gradient.test_grad) ... ok #4390 test_unimplemented_grad_func (theano.tests.test_gradient.test_grad) ... ok #4391 test_unimplemented_grad_grad (theano.tests.test_gradient.test_grad) ... ok #4392 test_1in_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4393 test_1in_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4394 test_Nin_1out (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4395 test_Nin_Nout (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4396 test_retNone1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4397 test_wrong_rval_len1 (theano.tests.test_gradient.testgrad_sources_inputs) ... ok #4398 theano.tests.test_gradient.test_undefined_grad_opt ... ok #4399 theano.tests.test_gradient.test_known_grads ... ok #4400 theano.tests.test_gradient.test_dxdx ... ok ---------------------------------------------------------------------- Ran 100 tests in 106.611s OK (SKIP=1) 98% done in 114.465s (failed: 0) #4401 theano.tests.test_gradient.test_known_grads_integers ... ok #4402 theano.tests.test_gradient.test_undefined_cost_grad ... ok #4403 theano.tests.test_gradient.test_disconnected_cost_grad ... ok #4404 theano.tests.test_gradient.test_subgraph_grad ... ok #4405 theano.tests.test_gradient.test_grad_clip ... ok #4406 theano.tests.test_gradient.test_grad_scale ... ok #4407 test_broadcast_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4408 test_dtype_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4409 test_grad_cast_input (theano.tests.test_ifelse.test_ifelse) ... ok #4410 test_grad_int_value (theano.tests.test_ifelse.test_ifelse) ... ok #4411 test_grad_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok #4412 test_grad_test_values (theano.tests.test_ifelse.test_ifelse) ... ok #4413 test_lazy_if (theano.tests.test_ifelse.test_ifelse) ... ok #4414 test_lazy_if_on_generics (theano.tests.test_ifelse.test_ifelse) ... ok #4415 test_merge (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4416 test_merge_ifs_true_false (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4417 test_mixed_dtype (theano.tests.test_ifelse.test_ifelse) ... ok #4418 test_multiple_out (theano.tests.test_ifelse.test_ifelse) ... ok #4419 test_multiple_out_crash (theano.tests.test_ifelse.test_ifelse) ... ok #4420 test_multiple_out_grad (theano.tests.test_ifelse.test_ifelse) ... ok #4421 test_ndim_mismatch (theano.tests.test_ifelse.test_ifelse) ... ok #4422 test_not_lazy_if_inplace (theano.tests.test_ifelse.test_ifelse) ... ok #4423 test_pushout1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4424 test_pushout2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4425 test_pushout3 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4426 test_remove_useless_inputs1 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4427 test_remove_useless_inputs2 (theano.tests.test_ifelse.test_ifelse) ... SKIP: Optimization temporarily disabled #4428 test_sparse_tensor_error (theano.tests.test_ifelse.test_ifelse) ... ok #4429 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_with_reoptimization ... ok #4430 theano.tests.test_pickle_unpickle_theano_fn.test_pickle_unpickle_without_reoptimization ... ok #4431 theano.tests.test_printing.test_pydotprint_cond_highlight ... ok #4432 theano.tests.test_printing.test_pydotprint_return_image ... ok #4433 theano.tests.test_printing.test_pydotprint_long_name ... ok #4434 theano.tests.test_printing.test_pydotprint_profile ... ok #4435 theano.tests.test_printing.test_min_informative_str ... ok #4436 theano.tests.test_printing.test_debugprint ... ok #4437 theano.tests.test_printing.test_scan_debugprint1 ... ok #4438 theano.tests.test_printing.test_scan_debugprint2 ... ok #4439 theano.tests.test_printing.test_scan_debugprint3 ... ok #4440 theano.tests.test_printing.test_scan_debugprint4 ... ok #4441 theano.tests.test_printing.test_scan_debugprint5 ... ok #4442 theano.tests.test_printing.test_printing_scan ... ok #4443 theano.tests.test_printing.test_subtensor ... ok #4444 theano.tests.test_record.test_record_good ... ok #4445 theano.tests.test_record.test_record_bad ... ok #4446 theano.tests.test_record.test_record_mode_good ... ok #4447 theano.tests.test_record.test_record_mode_bad ... ok #4448 test_Rop_dot_bug_18Oct2013_Jeremiah (theano.tests.test_rop.test_RopLop) ... ok #4449 test_alloc (theano.tests.test_rop.test_RopLop) ... ok #4450 test_argmax (theano.tests.test_rop.test_RopLop) ... ok #4451 test_conv (theano.tests.test_rop.test_RopLop) ... /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." /build/theano-1.0.3+dfsg/theano/tensor/nnet/conv.py:98: UserWarning: theano.tensor.nnet.conv.conv2d is deprecated. Use theano.tensor.nnet.conv2d instead. warnings.warn("theano.tensor.nnet.conv.conv2d is deprecated." ok #4452 test_dimshuffle (theano.tests.test_rop.test_RopLop) ... ok #4453 test_dot (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. #4454 test_downsample (theano.tests.test_rop.test_RopLop) ... ok #4455 test_elemwise0 (theano.tests.test_rop.test_RopLop) ... SKIP: Rop does not handle non-differentiable inputs correctly. Bug exposed by fixing Add.grad method. #4456 test_elemwise1 (theano.tests.test_rop.test_RopLop) ... ok #4457 test_flatten (theano.tests.test_rop.test_RopLop) ... ok #4458 test_incsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok #4459 test_incsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok #4460 test_invalid_input (theano.tests.test_rop.test_RopLop) ... ok #4461 test_join (theano.tests.test_rop.test_RopLop) ... ok #4462 test_max (theano.tests.test_rop.test_RopLop) ... /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) /build/theano-1.0.3+dfsg/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result. rval = inputs[0].__getitem__(inputs[1:]) ok #4463 test_multiple_outputs (theano.tests.test_rop.test_RopLop) ... ok #4464 test_print (theano.tests.test_rop.test_RopLop) ... ok #4465 test_rebroadcast (theano.tests.test_rop.test_RopLop) ... ok #4466 test_reshape (theano.tests.test_rop.test_RopLop) ... ok #4467 test_setsubtensor1 (theano.tests.test_rop.test_RopLop) ... ok #4468 test_setsubtensor2 (theano.tests.test_rop.test_RopLop) ... ok #4469 test_shape (theano.tests.test_rop.test_RopLop) ... ok #4470 test_softmax (theano.tests.test_rop.test_RopLop) ... /build/theano-1.0.3+dfsg/theano/tests/test_rop.py:388: UserWarning: DEPRECATION: If x is a vector, Softmax will not automatically pad x anymore in next releases. If you need it, please do it manually. The vector case is gonna be supported soon and the output will be a vector. self.check_rop_lop(tensor.nnet.softmax(self.x)[0], self.in_shape[0]) ok #4471 test_specifyshape (theano.tests.test_rop.test_RopLop) ... ok #4472 test_subtensor (theano.tests.test_rop.test_RopLop) ... ok #4473 test_sum (theano.tests.test_rop.test_RopLop) ... ok #4474 test_updates_add (theano.tests.test_updates.test_ifelse) ... ok #4475 test_updates_init (theano.tests.test_updates.test_ifelse) ... ok #4476 test_updates_setitem (theano.tests.test_updates.test_ifelse) ... ok ---------------------------------------------------------------------- Ran 76 tests in 230.651s OK (SKIP=9) 100% done in 239.040s (failed: 0) #################### # ALL TESTS PASSED # #################### make[1]: Leaving directory '/build/theano-1.0.3+dfsg' create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=pybuild dh_prep -O--buildsystem=pybuild debian/rules override_dh_auto_install make[1]: Entering directory '/build/theano-1.0.3+dfsg' dh_auto_install I: pybuild base:217: /usr/bin/python setup.py install --root /build/theano-1.0.3+dfsg/debian/python-theano --install-scripts=/usr/share/python-theano running install running build running build_py creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/configdefaults.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/version.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/updates.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/raise_op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/printing.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/pathparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/ifelse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/gradient.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/configparser.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/_version.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano copying theano/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin copying bin/theano_nose.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin copying bin/theano_cache.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin copying bin/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list copying theano/typed_list/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list copying theano/typed_list/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list copying theano/typed_list/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list copying theano/typed_list/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/run_tests_in_batch.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/unittest_tools.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_updates.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_rop.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_record.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_printing.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_pickle_unpickle_theano_fn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_ifelse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_gradient.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_flake8.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_dictionary_output.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_determinism.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_config.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_breakpoint.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/test_2nd_order_grads.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/record.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/main.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/diverse_tests.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/disturb_mem.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/breakpoint.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests copying theano/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/xlogx.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/var.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/type_other.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/slinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/shared_randomstreams.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/raw_random.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/nlinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/io.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/inplace.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/inc_code.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/fourier.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/elemwise_cgen.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/blas_scipy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/blas_headers.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/blas_c.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor copying theano/tensor/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse copying theano/sparse/utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse copying theano/sparse/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse copying theano/sparse/sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse copying theano/sparse/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse copying theano/sparse/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse copying theano/sparse/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan_views.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan_op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan_checkpoints.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/scan.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module copying theano/scan_module/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar copying theano/scalar/sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar copying theano/scalar/basic_sympy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar copying theano/scalar/basic_scipy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar copying theano/scalar/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar copying theano/scalar/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/solve.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/softsign.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/minimal.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/fourier.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/windows.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/strutil.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/safe_asarray.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/pkl_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/ordered_set.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/may_share_memory.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/latence_gpu_transfert.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/gh_api.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/frozendict.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/elemwise_time_test.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/elemwise_openmp_speedup.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/doubleop.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/cpucount.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/check_multi_gpu.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/check_duplicate_key.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/check_blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/burn_gpu.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/buildbot_filter.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc copying theano/misc/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/reduction.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/opt_util.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/nerv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/linalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/kernel_codegen.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/fp16_help.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/dnn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/cudnn_defs.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/basic_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray copying theano/gpuarray/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/cc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/vm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/unify.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/toolbox.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/sched.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/params_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/optdb.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/null_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/link.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/lazylinker_c.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/graph.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/fg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/destroyhandler.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/cutils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/compilelock.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/compiledir.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/cmodule.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/callcache.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof copying theano/gof/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz copying theano/d3viz/formatting.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz copying theano/d3viz/d3viz.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz copying theano/d3viz/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/sharedvalue.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/profiling.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/pfunc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/nanguardmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/monitormode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/mode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/io.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/function_module.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/function.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/debugmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/builders.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile copying theano/compile/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compat copying theano/compat/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compat creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_var.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_type_other.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_slinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_nlinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_io.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests copying theano/tensor/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal copying theano/tensor/signal/pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal copying theano/tensor/signal/conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal copying theano/tensor/signal/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/corr3d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/corr.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/bn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/abstract_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests copying theano/sparse/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_checkpoints.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_div_no_future.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_div_future.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests copying theano/scalar/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/cuda creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests copying theano/misc/tests/test_pkl_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests copying theano/misc/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_scan.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_reduction.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pickle.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_others.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_misc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr3d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_dnn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_cgpukernelbase.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_basic_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_abstractconv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/run_dnn_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/rnn_support.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/config.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/check_dnn_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_vm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_types.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_sched.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_params_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_optdb.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_link.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_lazy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_graph_opt_caching.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_graph.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_fg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_compiledir.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/test_cc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests copying theano/gof/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/test_formatting.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/test_d3viz.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/models.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_shared.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_profiling.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_nanguardmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_modes.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_mode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_misc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_function_name.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_function_module.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_function.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/test_builders.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests copying theano/compile/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/sandbox creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr3d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_bn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_abstract_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code copying theano/tensor/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code copying theano/tensor/c_code/alt_blas_template.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code copying theano/tensor/c_code/alt_blas_common.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/c_code copying theano/scan_module/c_code/scan_perform.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/c_code copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox copying theano/misc/check_blas_many.sh -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_dense_large.cu -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_dense.cu -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_common.cuh -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_max_rop.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_max_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_grad_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_ave_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_svd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_qr.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_inv.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_eigh.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_cholesky.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/gpuarray_helper.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_sampler.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_gt.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_grid.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_gi.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_softmax_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_softmax.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_gw.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_gi.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_fwd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_desc.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_redux.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_pool_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_pool.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_gw.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_gi.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_fwd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_dropout_fwd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_dropout_desc.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_conv_base.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_base.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_base.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/cudnn_helper.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/conv_desc.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/blockger.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/blockgemv.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/c_code copying theano/gof/c_code/theano_mod_helper.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/c_code copying theano/gof/c_code/lazylinker_c.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/c_code creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/html copying theano/d3viz/html/template.html -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/html creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/css copying theano/d3viz/css/d3viz.css -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/css copying theano/d3viz/css/d3-context-menu.css -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/css creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js copying theano/d3viz/js/d3.v3.min.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js copying theano/d3viz/js/dagre-d3.min.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js copying theano/d3viz/js/graphlib-dot.min.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js copying theano/d3viz/js/d3viz.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js copying theano/d3viz/js/d3-context-menu.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code copying theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/multinomial_test_graph.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests copying theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/GpuArray.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/c_code copying theano/gpuarray/tests/c_code/tstgpueye.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/c_code copying theano/gof/tests/test_fg_old_crash.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/c_code copying theano/gof/tests/c_code/test_quadratic_function.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/c_code copying theano/gof/tests/c_code/test_cenum.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/c_code copying theano/tensor/signal/tests/old_pool_interface.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests UPDATING /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/_version.py set /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/_version.py to '1.0.3' running install_lib creating /build/theano-1.0.3+dfsg/debian/python-theano creating /build/theano-1.0.3+dfsg/debian/python-theano/usr creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7 creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin/theano_cache.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/bin/theano_nose.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/_version.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compat/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sandbox creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_builders.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_debugmode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_function.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_function_module.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_function_name.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_misc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_mode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_modes.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_monitormode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_nanguardmode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_pfunc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_profiling.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/tests/test_shared.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/builders.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/debugmode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/function.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/function_module.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/io.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/mode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/monitormode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/nanguardmode.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/pfunc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/profiling.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/compile/sharedvalue.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js/d3-context-menu.js -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js/d3viz.js -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js/graphlib-dot.min.js -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js/dagre-d3.min.js -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/js/d3.v3.min.js -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/js creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/css copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/css/d3-context-menu.css -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/css copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/css/d3viz.css -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/css creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/html copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/html/template.html -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/html creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests/models.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests/test_d3viz.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/tests/test_formatting.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/d3viz.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/d3viz/formatting.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/c_code/lazylinker_c.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/c_code/theano_mod_helper.h -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/c_code creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/c_code/test_cenum.h -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/c_code/test_quadratic_function.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_fg_old_crash.pkl -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_cc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_cmodule.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_compiledir.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_compute_test_value.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_destroyhandler.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_fg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_graph.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_graph_opt_caching.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_lazy.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_link.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_op.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_optdb.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_params_type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_sched.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_toolbox.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_types.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/tests/test_vm.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/callcache.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/cmodule.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/compiledir.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/compilelock.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/cutils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/destroyhandler.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/fg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/graph.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/lazylinker_c.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/link.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/null_type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/op.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/optdb.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/params_type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/sched.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/toolbox.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/unify.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/vm.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gof/cc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/blockgemv.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/blockger.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/conv_desc.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/cudnn_helper.h -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_base.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm_base.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_conv_base.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_dropout_desc.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_dropout_fwd.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_fwd.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_gi.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_gw.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_pool.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_pool_grad.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_redux.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_rnn_desc.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_rnn_fwd.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_rnn_gi.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_rnn_gw.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_softmax.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_softmax_grad.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_sptf_gi.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_sptf_grid.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_sptf_gt.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/dnn_sptf_sampler.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/gpuarray_helper.h -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/magma_cholesky.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/magma_eigh.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/magma_inv.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/magma_qr.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/magma_svd.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/pool.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/pool_ave_grad.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/pool_grad_grad.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/pool_max_grad.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/pool_max_rop.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/topk_common.cuh -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/topk_dense.cu -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/c_code/topk_dense_large.cu -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/c_code creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/c_code/tstgpueye.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/GpuArray.pkl -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/check_dnn_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/config.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/rnn_support.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/run_dnn_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_abstractconv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_basic_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_blas.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_cgpukernelbase.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_dnn.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_fft.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_gemmcorr.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_gemmcorr3d.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_misc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_others.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_pickle.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_pool.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_reduction.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_scan.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_sort.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/tests/test_type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/basic_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/blas.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/ctc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/cudnn_defs.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/dnn.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/elemwise.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/fft.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/fp16_help.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/kernel_codegen.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/linalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/multinomial.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/neighbours.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/nerv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/nnet.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/opt_util.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/pool.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/reduction.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/sort.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/subtensor.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gpuarray/type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/check_blas_many.sh -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests/test_may_share_memory.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/tests/test_pkl_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/buildbot_filter.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/burn_gpu.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/check_blas.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/check_duplicate_key.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/check_multi_gpu.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/cpucount.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/doubleop.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/elemwise_openmp_speedup.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/elemwise_time_test.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/frozendict.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/gh_api.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/latence_gpu_transfert.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/may_share_memory.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/ordered_set.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/pkl_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/safe_asarray.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/strutil.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/misc/windows.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/cuda/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/linalg/ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests/multinomial_test_graph.pkl -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/fourier.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/minimal.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/multinomial.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/neighbours.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/softsign.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sandbox/solve.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests/test_basic_sympy.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests/test_div_future.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/tests/test_div_no_future.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/basic_scipy.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/basic_sympy.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scalar/sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/c_code/scan_perform.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/c_code creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests/test_scan.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests/test_scan_checkpoints.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests/test_scan_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/tests/test_scan_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan_checkpoints.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan_op.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan_perform_ext.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/scan_module/scan_views.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox/sp.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox/sp2.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox/test_sp.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sandbox/truedot.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests/test_sp2.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests/test_type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests/test_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/sparse/utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code/alt_blas_common.h -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code/alt_blas_template.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/c_code creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/c_code creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/speed_test_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_abstract_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_bn.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_conv3d2d.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_corr.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_corr3d.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/tests/test_sigm.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/abstract_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/bn.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/conv3d2d.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/corr.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/corr3d.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/ctc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/neighbours.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/nnet.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nnet/sigm.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests/old_pool_interface.pkl -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests/test_conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/tests/test_pool.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/conv.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/signal/pool.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/_test_mpi_roundtrip.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/mlp_test.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_blas.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_blas_c.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_blas_scipy.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_casting.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_complex.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_fft.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_fourier.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_gc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_inc_subtensor.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_io.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_keepdims.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_merge.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_misc.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_mpi.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_nlinalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_raw_random.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_shared_randomstreams.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_slinalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_sort.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_type_other.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_var.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/tests/test_xlogx.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/blas.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/blas_c.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/blas_headers.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/blas_scipy.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/elemwise.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/elemwise_cgen.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/fft.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/fourier.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/inc_code.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/inplace.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/io.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/nlinalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/raw_random.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/shared_randomstreams.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/slinalg.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/sort.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/subtensor.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/type_other.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/utils.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/var.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tensor/xlogx.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/breakpoint.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/disturb_mem.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/diverse_tests.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/main.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/record.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_2nd_order_grads.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_breakpoint.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_config.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_determinism.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_dictionary_output.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_flake8.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_gradient.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_ifelse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_pickle_unpickle_theano_fn.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_printing.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_record.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_rop.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/test_updates.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/unittest_tools.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/tests/run_tests_in_batch.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list creating /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/tests/test_type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/basic.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/opt.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/typed_list/type.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/__init__.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/configparser.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/gradient.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/ifelse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/pathparse.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/printing.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/raise_op.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/updates.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/version.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython2_2.7_theano/build/theano/configdefaults.py -> /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin/theano_cache.py to theano_cache.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/bin/theano_nose.py to theano_nose.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/_version.py to _version.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compat/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sandbox/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_builders.py to test_builders.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_debugmode.py to test_debugmode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_function.py to test_function.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_function_module.py to test_function_module.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_function_name.py to test_function_name.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_misc.py to test_misc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_mode.py to test_mode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_modes.py to test_modes.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_monitormode.py to test_monitormode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_nanguardmode.py to test_nanguardmode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_ops.py to test_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_pfunc.py to test_pfunc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_profiling.py to test_profiling.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/tests/test_shared.py to test_shared.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/builders.py to builders.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/debugmode.py to debugmode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/function.py to function.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/function_module.py to function_module.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/io.py to io.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/mode.py to mode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/monitormode.py to monitormode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/nanguardmode.py to nanguardmode.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/ops.py to ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/pfunc.py to pfunc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/profiling.py to profiling.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/compile/sharedvalue.py to sharedvalue.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/models.py to models.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/test_d3viz.py to test_d3viz.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/tests/test_formatting.py to test_formatting.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/d3viz.py to d3viz.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/d3viz/formatting.py to formatting.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_cc.py to test_cc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_cmodule.py to test_cmodule.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_compiledir.py to test_compiledir.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_fg.py to test_fg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_graph.py to test_graph.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_lazy.py to test_lazy.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_link.py to test_link.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_op.py to test_op.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_opt.py to test_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_optdb.py to test_optdb.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_params_type.py to test_params_type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_sched.py to test_sched.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_toolbox.py to test_toolbox.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_types.py to test_types.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_utils.py to test_utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/tests/test_vm.py to test_vm.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/callcache.py to callcache.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/cmodule.py to cmodule.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/compiledir.py to compiledir.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/compilelock.py to compilelock.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/cutils.py to cutils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/destroyhandler.py to destroyhandler.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/fg.py to fg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/graph.py to graph.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/lazylinker_c.py to lazylinker_c.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/link.py to link.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/null_type.py to null_type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/op.py to op.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/opt.py to opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/optdb.py to optdb.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/params_type.py to params_type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/sched.py to sched.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/toolbox.py to toolbox.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/type.py to type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/unify.py to unify.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/utils.py to utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/vm.py to vm.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gof/cc.py to cc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/check_dnn_conv.py to check_dnn_conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/config.py to config.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/rnn_support.py to rnn_support.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/run_dnn_conv.py to run_dnn_conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_abstractconv.py to test_abstractconv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_basic_ops.py to test_basic_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_blas.py to test_blas.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_blocksparse.py to test_blocksparse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py to test_cgpukernelbase.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_ctc.py to test_ctc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_dnn.py to test_dnn.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_elemwise.py to test_elemwise.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_extra_ops.py to test_extra_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_fft.py to test_fft.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_gemmcorr.py to test_gemmcorr.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py to test_gemmcorr3d.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_linalg.py to test_linalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_misc.py to test_misc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_multinomial.py to test_multinomial.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_neighbours.py to test_neighbours.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_nnet.py to test_nnet.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_opt.py to test_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_others.py to test_others.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_pickle.py to test_pickle.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_pool.py to test_pool.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_reduction.py to test_reduction.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_rng_mrg.py to test_rng_mrg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_scan.py to test_scan.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_sort.py to test_sort.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_subtensor.py to test_subtensor.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/tests/test_type.py to test_type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/basic_ops.py to basic_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/blas.py to blas.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/blocksparse.py to blocksparse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/ctc.py to ctc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/cudnn_defs.py to cudnn_defs.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/dnn.py to dnn.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/elemwise.py to elemwise.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/extra_ops.py to extra_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/fft.py to fft.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/fp16_help.py to fp16_help.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/kernel_codegen.py to kernel_codegen.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/linalg.py to linalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/multinomial.py to multinomial.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/neighbours.py to neighbours.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/nerv.py to nerv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/nnet.py to nnet.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/opt.py to opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/opt_util.py to opt_util.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/pool.py to pool.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/reduction.py to reduction.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/rng_mrg.py to rng_mrg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/sort.py to sort.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/subtensor.py to subtensor.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gpuarray/type.py to type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/tests/test_pkl_utils.py to test_pkl_utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/buildbot_filter.py to buildbot_filter.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/burn_gpu.py to burn_gpu.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_blas.py to check_blas.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/check_multi_gpu.py to check_multi_gpu.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/cpucount.py to cpucount.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/doubleop.py to doubleop.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/elemwise_openmp_speedup.py to elemwise_openmp_speedup.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/elemwise_time_test.py to elemwise_time_test.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/frozendict.py to frozendict.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/gh_api.py to gh_api.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/may_share_memory.py to may_share_memory.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/ordered_set.py to ordered_set.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/pkl_utils.py to pkl_utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/safe_asarray.py to safe_asarray.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/strutil.py to strutil.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/misc/windows.py to windows.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/cuda/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/linalg/ops.py to ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/test_multinomial.py to test_multinomial.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/tests/test_rng_mrg.py to test_rng_mrg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/blocksparse.py to blocksparse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/conv.py to conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/fourier.py to fourier.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/minimal.py to minimal.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/multinomial.py to multinomial.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/neighbours.py to neighbours.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/rng_mrg.py to rng_mrg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/softsign.py to softsign.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sandbox/solve.py to solve.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_basic.py to test_basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/tests/test_div_future.py to test_div_future.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/basic.py to basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/basic_scipy.py to basic_scipy.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/basic_sympy.py to basic_sympy.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scalar/sharedvar.py to sharedvar.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/tests/test_scan.py to test_scan.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+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 /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan.py to scan.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_checkpoints.py to scan_checkpoints.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_op.py to scan_op.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_opt.py to scan_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_utils.py to scan_utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/scan_module/scan_views.py to scan_views.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/sp.py to sp.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/sp2.py to sp2.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/test_sp.py to test_sp.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sandbox/truedot.py to truedot.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_opt.py to test_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_sp2.py to test_sp2.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_type.py to test_type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_utils.py to test_utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/tests/test_basic.py to test_basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/basic.py to basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/opt.py to opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/sharedvar.py to sharedvar.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/type.py to type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/sparse/utils.py to utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py to test_blocksparse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_bn.py to test_bn.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_corr.py to test_corr.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_corr3d.py to test_corr3d.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_ctc.py to test_ctc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_neighbours.py to test_neighbours.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_opt.py to test_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/abstract_conv.py to abstract_conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/blocksparse.py to blocksparse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/bn.py to bn.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/conv.py to conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/corr.py to corr.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/corr3d.py to corr3d.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/ctc.py to ctc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/neighbours.py to neighbours.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/nnet.py to nnet.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/opt.py to opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nnet/sigm.py to sigm.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests/test_conv.py to test_conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/tests/test_pool.py to test_pool.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/conv.py to conv.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/signal/pool.py to pool.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/mlp_test.py to mlp_test.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_basic.py to test_basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_blas.py to test_blas.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_casting.py to test_casting.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_complex.py to test_complex.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_fft.py to test_fft.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_fourier.py to test_fourier.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_gc.py to test_gc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_io.py to test_io.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_merge.py to test_merge.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_misc.py to test_misc.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_mpi.py to test_mpi.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_nlinalg.py to test_nlinalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_opt.py to test_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_slinalg.py to test_slinalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_sort.py to test_sort.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_type_other.py to test_type_other.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_utils.py to test_utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_var.py to test_var.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/basic.py to basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas.py to blas.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas_c.py to blas_c.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas_headers.py to blas_headers.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/blas_scipy.py to blas_scipy.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/elemwise.py to elemwise.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/extra_ops.py to extra_ops.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/fft.py to fft.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/fourier.py to fourier.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/inc_code.py to inc_code.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/inplace.py to inplace.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/io.py to io.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/nlinalg.py to nlinalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/opt.py to opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/raw_random.py to raw_random.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/sharedvar.py to sharedvar.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/slinalg.py to slinalg.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/sort.py to sort.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/subtensor.py to subtensor.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/type.py to type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/type_other.py to type_other.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/utils.py to utils.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/var.py to var.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tensor/xlogx.py to xlogx.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/breakpoint.py to breakpoint.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/disturb_mem.py to disturb_mem.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/diverse_tests.py to diverse_tests.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/main.py to main.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/record.py to record.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_breakpoint.py to test_breakpoint.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_config.py to test_config.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_determinism.py to test_determinism.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_dictionary_output.py to test_dictionary_output.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_flake8.py to test_flake8.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_gradient.py to test_gradient.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_ifelse.py to test_ifelse.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_printing.py to test_printing.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_record.py to test_record.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_rop.py to test_rop.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/test_updates.py to test_updates.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/tests/unittest_tools.py to unittest_tools.pyc byte-compiling /build/theano-1.0.3+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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/test_basic.py to test_basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/test_opt.py to test_opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/tests/test_type.py to test_type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/basic.py to basic.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/opt.py to opt.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/typed_list/type.py to type.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/__init__.py to __init__.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/configparser.py to configparser.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/gradient.py to gradient.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/ifelse.py to ifelse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/pathparse.py to pathparse.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/printing.py to printing.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/raise_op.py to raise_op.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/updates.py to updates.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/version.py to version.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/theano/configdefaults.py to configdefaults.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 /build/theano-1.0.3+dfsg/debian/python-theano/usr/lib/python2.7/dist-packages/Theano-1.0.3.egg-info Skipping SOURCES.txt running install_scripts Installing theano-cache script to /build/theano-1.0.3+dfsg/debian/python-theano/usr/share/python-theano Installing theano-nose script to /build/theano-1.0.3+dfsg/debian/python-theano/usr/share/python-theano I: pybuild base:217: /usr/bin/python3 setup.py install --root /build/theano-1.0.3+dfsg/debian/python3-theano --install-scripts=/usr/share/python3-theano running install running build running build_py creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/configdefaults.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/version.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/updates.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/raise_op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/printing.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/pathparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/ifelse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/gradient.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/configparser.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/_version.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano copying theano/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin copying bin/theano_nose.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin copying bin/theano_cache.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin copying bin/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list copying theano/typed_list/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list copying theano/typed_list/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list copying theano/typed_list/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list copying theano/typed_list/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/run_tests_in_batch.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/unittest_tools.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_updates.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_rop.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_record.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_printing.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_pickle_unpickle_theano_fn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_ifelse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_gradient.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_flake8.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_dictionary_output.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_determinism.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_config.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_breakpoint.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/test_2nd_order_grads.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/record.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/main.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/diverse_tests.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/disturb_mem.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/breakpoint.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests copying theano/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/xlogx.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/var.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/type_other.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/slinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/shared_randomstreams.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/raw_random.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/nlinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/io.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/inplace.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/inc_code.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/fourier.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/elemwise_cgen.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/blas_scipy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/blas_headers.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/blas_c.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor copying theano/tensor/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse copying theano/sparse/utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse copying theano/sparse/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse copying theano/sparse/sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse copying theano/sparse/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse copying theano/sparse/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse copying theano/sparse/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan_views.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan_perform_ext.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan_op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan_checkpoints.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/scan.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module copying theano/scan_module/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar copying theano/scalar/sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar copying theano/scalar/basic_sympy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar copying theano/scalar/basic_scipy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar copying theano/scalar/basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar copying theano/scalar/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/solve.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/softsign.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/minimal.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/fourier.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/windows.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/strutil.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/safe_asarray.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/pkl_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/ordered_set.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/may_share_memory.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/latence_gpu_transfert.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/gh_api.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/frozendict.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/elemwise_time_test.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/elemwise_openmp_speedup.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/doubleop.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/cpucount.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/check_multi_gpu.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/check_duplicate_key.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/check_blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/burn_gpu.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/buildbot_filter.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc copying theano/misc/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/reduction.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/opt_util.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/nerv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/linalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/kernel_codegen.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/fp16_help.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/dnn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/cudnn_defs.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/basic_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray copying theano/gpuarray/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/cc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/vm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/unify.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/toolbox.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/sched.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/params_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/optdb.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/null_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/link.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/lazylinker_c.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/graph.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/fg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/destroyhandler.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/cutils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/compilelock.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/compiledir.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/cmodule.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/callcache.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof copying theano/gof/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz copying theano/d3viz/formatting.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz copying theano/d3viz/d3viz.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz copying theano/d3viz/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/sharedvalue.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/profiling.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/pfunc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/nanguardmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/monitormode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/mode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/io.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/function_module.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/function.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/debugmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/builders.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile copying theano/compile/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compat copying theano/compat/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compat creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests copying theano/typed_list/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_xlogx.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_var.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_type_other.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_slinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_sharedvar.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_shared_randomstreams.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_raw_random.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_nlinalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_mpi.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_misc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_merge.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_keepdims.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_io.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_inc_subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_gc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_fourier.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_complex.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_casting.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas_scipy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas_c.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/mlp_test.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/_test_mpi_roundtrip.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests copying theano/tensor/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal copying theano/tensor/signal/pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal copying theano/tensor/signal/conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal copying theano/tensor/signal/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/sigm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/corr3d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/corr.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/conv3d2d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/bn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/abstract_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet copying theano/tensor/nnet/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_sp2.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests copying theano/sparse/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests copying theano/sparse/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/truedot.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/test_sp.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp2.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/sp.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox copying theano/sparse/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan_checkpoints.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/test_scan.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests copying theano/scan_module/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_div_no_future.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_div_future.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_basic_sympy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests copying theano/scalar/tests/test_basic.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests copying theano/scalar/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial_wo_replacement.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg copying theano/sandbox/linalg/ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg copying theano/sandbox/linalg/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/cuda copying theano/sandbox/cuda/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/cuda creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests copying theano/misc/tests/test_pkl_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests copying theano/misc/tests/test_may_share_memory.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests copying theano/misc/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_sort.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_scan.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_reduction.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_pickle.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_others.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_misc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr3d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_gemmcorr.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_fft.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_dnn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_cgpukernelbase.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_blas.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_basic_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/test_abstractconv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/run_dnn_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/rnn_support.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/config.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/check_dnn_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_vm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_utils.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_types.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_toolbox.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_sched.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_params_type.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_optdb.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_op.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_link.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_lazy.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_graph_opt_caching.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_graph.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_fg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_destroyhandler.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_compute_test_value.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_compiledir.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_cmodule.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/test_cc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests copying theano/gof/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/test_formatting.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/test_d3viz.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/models.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests copying theano/d3viz/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_shared.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_profiling.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_pfunc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_ops.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_nanguardmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_monitormode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_modes.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_mode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_misc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_function_name.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_function_module.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_function.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_debugmode.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/test_builders.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests copying theano/compile/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/sandbox copying theano/compile/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/sandbox creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_pool.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/test_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests copying theano/tensor/signal/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_sigm.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_opt.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr3d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_corr.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv3d2d.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_bn.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/test_abstract_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/speed_test_conv.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests copying theano/tensor/nnet/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/tests copying theano/sandbox/linalg/tests/__init__.py -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code copying theano/tensor/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code copying theano/tensor/c_code/alt_blas_template.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code copying theano/tensor/c_code/alt_blas_common.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/c_code copying theano/scan_module/c_code/scan_perform.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/c_code copying theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox copying theano/misc/check_blas_many.sh -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_dense_large.cu -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_dense.cu -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/topk_common.cuh -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_max_rop.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_max_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_grad_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool_ave_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/pool.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_svd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_qr.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_inv.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_eigh.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/magma_cholesky.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/gpuarray_helper.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_sampler.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_gt.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_grid.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_sptf_gi.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_softmax_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_softmax.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_gw.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_gi.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_fwd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_rnn_desc.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_redux.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_pool_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_pool.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_gw.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_gi.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_fwd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_dropout_fwd.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_dropout_desc.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_conv_base.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm_base.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_batchnorm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dnn_base.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/cudnn_helper.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/conv_desc.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/blockger.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code copying theano/gpuarray/c_code/blockgemv.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/c_code copying theano/gof/c_code/theano_mod_helper.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/c_code copying theano/gof/c_code/lazylinker_c.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/c_code creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/html copying theano/d3viz/html/template.html -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/html creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/css copying theano/d3viz/css/d3viz.css -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/css copying theano/d3viz/css/d3-context-menu.css -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/css creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js copying theano/d3viz/js/d3.v3.min.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js copying theano/d3viz/js/dagre-d3.min.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js copying theano/d3viz/js/graphlib-dot.min.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js copying theano/d3viz/js/d3viz.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js copying theano/d3viz/js/d3-context-menu.js -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code copying theano/tensor/nnet/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code copying theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests copying theano/sandbox/tests/multinomial_test_graph.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests copying theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests copying theano/gpuarray/tests/GpuArray.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/c_code copying theano/gpuarray/tests/c_code/tstgpueye.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/c_code copying theano/gof/tests/test_fg_old_crash.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests creating /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/c_code copying theano/gof/tests/c_code/test_quadratic_function.c -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/c_code copying theano/gof/tests/c_code/test_cenum.h -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/c_code copying theano/tensor/signal/tests/old_pool_interface.pkl -> /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests UPDATING /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/_version.py set /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/_version.py to '1.0.3' running install_lib creating /build/theano-1.0.3+dfsg/debian/python3-theano creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7 creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin/theano_cache.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/bin/theano_nose.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/_version.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compat copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compat/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compat creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/sandbox creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_builders.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_debugmode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_function.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_function_module.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_function_name.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_misc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_mode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_modes.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_monitormode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_nanguardmode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_pfunc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_profiling.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/tests/test_shared.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/builders.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/debugmode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/function.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/function_module.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/io.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/mode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/monitormode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/nanguardmode.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/pfunc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/profiling.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/compile/sharedvalue.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js/d3-context-menu.js -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js/d3viz.js -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js/graphlib-dot.min.js -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js/dagre-d3.min.js -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/js copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/js/d3.v3.min.js -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/js creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/css copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/css/d3-context-menu.css -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/css copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/css/d3viz.css -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/css creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/html copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/html/template.html -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/html creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests/models.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests/test_d3viz.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/tests/test_formatting.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/d3viz.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/d3viz/formatting.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/c_code/lazylinker_c.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/c_code/theano_mod_helper.h -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/c_code creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/c_code/test_cenum.h -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/c_code/test_quadratic_function.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_fg_old_crash.pkl -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_cc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_cmodule.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_compiledir.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_compute_test_value.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_destroyhandler.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_fg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_graph.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_graph_opt_caching.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_lazy.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_link.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_op.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_optdb.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_params_type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_sched.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_toolbox.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_types.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/tests/test_vm.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/callcache.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/cmodule.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/compiledir.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/compilelock.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/cutils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/destroyhandler.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/fg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/graph.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/lazylinker_c.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/link.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/null_type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/op.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/optdb.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/params_type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/sched.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/toolbox.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/unify.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/vm.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gof/cc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/blockgemv.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/blockger.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/conv_desc.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/cudnn_helper.h -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_base.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm_base.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm_grad.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_batchnorm_inf.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_conv_base.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_dropout_desc.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_dropout_fwd.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_fwd.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_gi.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_gw.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_pool.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_pool_grad.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_redux.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_rnn_desc.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_rnn_fwd.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_rnn_gi.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_rnn_gw.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_rnn_paramsize.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_softmax.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_softmax_grad.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_sptf_gi.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_sptf_grid.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_sptf_gt.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/dnn_sptf_sampler.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/gpuarray_helper.h -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/magma_cholesky.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/magma_eigh.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/magma_inv.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/magma_qr.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/magma_svd.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/pool.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/pool_ave_grad.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/pool_grad_grad.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/pool_max_grad.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/pool_max_rop.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/topk_common.cuh -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/topk_dense.cu -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/c_code/topk_dense_large.cu -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/c_code creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/c_code/tstgpueye.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/GpuArray.pkl -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_gpuarray_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/check_dnn_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/config.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/rnn_support.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/run_dnn_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_abstractconv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_basic_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_blas.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_cgpukernelbase.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_dnn.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_fft.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_gemmcorr.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_gemmcorr3d.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_misc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_others.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_pickle.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_pool.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_reduction.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_scan.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_sort.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/tests/test_type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/basic_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/blas.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/ctc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/cudnn_defs.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/dnn.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/elemwise.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/fft.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/fp16_help.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/kernel_codegen.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/linalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/multinomial.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/neighbours.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/nerv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/nnet.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/opt_util.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/pool.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/reduction.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/sort.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/subtensor.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gpuarray/type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/check_blas_many.sh -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests/test_may_share_memory.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/tests/test_pkl_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/buildbot_filter.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/burn_gpu.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/check_blas.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/check_duplicate_key.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/check_multi_gpu.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/cpucount.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/doubleop.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/elemwise_openmp_speedup.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/elemwise_time_test.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/frozendict.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/gh_api.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/latence_gpu_transfert.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/may_share_memory.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/ordered_set.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/pkl_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/safe_asarray.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/strutil.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/misc/windows.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/samples_MRG31k3p_12_7_5.txt -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/cuda copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/cuda/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/cuda creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/tests/test_linalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/linalg/ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests/multinomial_test_graph.pkl -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests/test_sandbox_multinomial_wo_replacement.pkl -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests/test_multinomial.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests/test_multinomial_wo_replacement.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/tests/test_rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/fourier.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/minimal.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/multinomial.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/neighbours.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/rng_mrg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/softsign.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sandbox/solve.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests/test_basic_sympy.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests/test_div_future.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/tests/test_div_no_future.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/basic_scipy.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/basic_sympy.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scalar/sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/c_code/scan_perform.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/c_code creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests/test_scan.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests/test_scan_checkpoints.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests/test_scan_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/tests/test_scan_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan_checkpoints.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan_op.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan_perform_ext.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/scan_module/scan_views.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox/sp.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox/sp2.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox/test_sp.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sandbox/truedot.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests/test_sp2.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests/test_type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests/test_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/sparse/utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code/alt_blas_common.h -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code/alt_blas_template.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/c_code/dimshuffle.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/c_code creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code/corr3d_gemm.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code/corr_gemm.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/c_code copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/c_code/ctc_wrapper.c -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/c_code creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/speed_test_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_abstract_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_bn.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_conv3d2d.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_corr.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_corr3d.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_ctc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_neighbours.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_nnet.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/tests/test_sigm.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/abstract_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/blocksparse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/bn.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/conv3d2d.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/corr.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/corr3d.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/ctc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/neighbours.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/nnet.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nnet/sigm.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests/old_pool_interface.pkl -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests/test_conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/tests/test_pool.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/conv.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/signal/pool.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/_test_mpi_roundtrip.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/mlp_test.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_blas.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_blas_c.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_blas_scipy.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_casting.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_complex.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_elemwise.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_fft.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_fourier.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_gc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_inc_subtensor.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_io.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_keepdims.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_merge.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_misc.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_mpi.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_nlinalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_raw_random.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_shared_randomstreams.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_slinalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_sort.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_subtensor.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_type_other.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_var.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/tests/test_xlogx.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/blas.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/blas_c.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/blas_headers.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/blas_scipy.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/elemwise.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/elemwise_cgen.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/extra_ops.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/fft.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/fourier.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/inc_code.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/inplace.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/io.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/nlinalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/opt_uncanonicalize.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/raw_random.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/shared_randomstreams.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/sharedvar.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/slinalg.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/sort.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/subtensor.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/type_other.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/utils.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/var.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tensor/xlogx.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/breakpoint.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/disturb_mem.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/diverse_tests.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/main.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/record.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_2nd_order_grads.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_breakpoint.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_config.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_determinism.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_dictionary_output.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_flake8.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_gradient.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_ifelse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_pickle_unpickle_theano_fn.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_printing.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_record.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_rop.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/test_updates.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/unittest_tools.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/tests/run_tests_in_batch.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list creating /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests/test_basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests/test_opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/tests/test_type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/basic.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/opt.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/typed_list/type.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/__init__.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/configparser.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/gradient.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/ifelse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/pathparse.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/printing.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/raise_op.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/updates.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/version.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano copying /build/theano-1.0.3+dfsg/.pybuild/cpython3_3.7_theano/build/theano/configdefaults.py -> /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin/theano_cache.py to theano_cache.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/bin/theano_nose.py to theano_nose.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/_version.py to _version.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compat/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/sandbox/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_builders.py to test_builders.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_debugmode.py to test_debugmode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_function.py to test_function.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_function_module.py to test_function_module.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_function_name.py to test_function_name.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_misc.py to test_misc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_mode.py to test_mode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_modes.py to test_modes.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_monitormode.py to test_monitormode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_nanguardmode.py to test_nanguardmode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_ops.py to test_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_pfunc.py to test_pfunc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_profiling.py to test_profiling.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/tests/test_shared.py to test_shared.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/builders.py to builders.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/debugmode.py to debugmode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/function.py to function.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/function_module.py to function_module.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/io.py to io.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/mode.py to mode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/monitormode.py to monitormode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/nanguardmode.py to nanguardmode.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/ops.py to ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/pfunc.py to pfunc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/profiling.py to profiling.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/compile/sharedvalue.py to sharedvalue.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests/models.py to models.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests/test_d3viz.py to test_d3viz.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/tests/test_formatting.py to test_formatting.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/d3viz.py to d3viz.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/d3viz/formatting.py to formatting.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_cc.py to test_cc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_cmodule.py to test_cmodule.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_compiledir.py to test_compiledir.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_compute_test_value.py to test_compute_test_value.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_destroyhandler.py to test_destroyhandler.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_fg.py to test_fg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_graph.py to test_graph.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_graph_opt_caching.py to test_graph_opt_caching.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_lazy.py to test_lazy.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_link.py to test_link.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_op.py to test_op.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_opt.py to test_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_optdb.py to test_optdb.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_params_type.py to test_params_type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_sched.py to test_sched.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_toolbox.py to test_toolbox.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_types.py to test_types.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_utils.py to test_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/tests/test_vm.py to test_vm.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/callcache.py to callcache.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/cmodule.py to cmodule.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/compiledir.py to compiledir.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/compilelock.py to compilelock.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/cutils.py to cutils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/destroyhandler.py to destroyhandler.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/fg.py to fg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/graph.py to graph.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/lazylinker_c.py to lazylinker_c.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/link.py to link.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/null_type.py to null_type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/op.py to op.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/opt.py to opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/optdb.py to optdb.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/params_type.py to params_type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/sched.py to sched.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/toolbox.py to toolbox.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/type.py to type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/unify.py to unify.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/utils.py to utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/vm.py to vm.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gof/cc.py to cc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/check_dnn_conv.py to check_dnn_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/config.py to config.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/rnn_support.py to rnn_support.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/run_dnn_conv.py to run_dnn_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_abstractconv.py to test_abstractconv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_basic_ops.py to test_basic_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_blas.py to test_blas.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_blocksparse.py to test_blocksparse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_cgpukernelbase.py to test_cgpukernelbase.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_ctc.py to test_ctc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_dnn.py to test_dnn.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_elemwise.py to test_elemwise.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_extra_ops.py to test_extra_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_fft.py to test_fft.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_gemmcorr.py to test_gemmcorr.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_gemmcorr3d.py to test_gemmcorr3d.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_linalg.py to test_linalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_misc.py to test_misc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_multinomial.py to test_multinomial.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_neighbours.py to test_neighbours.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_nnet.py to test_nnet.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_opt.py to test_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_others.py to test_others.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_pickle.py to test_pickle.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_pool.py to test_pool.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_reduction.py to test_reduction.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_rng_mrg.py to test_rng_mrg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_scan.py to test_scan.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_sort.py to test_sort.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_subtensor.py to test_subtensor.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/tests/test_type.py to test_type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/basic_ops.py to basic_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/blas.py to blas.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/blocksparse.py to blocksparse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/ctc.py to ctc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/cudnn_defs.py to cudnn_defs.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/dnn.py to dnn.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/elemwise.py to elemwise.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/extra_ops.py to extra_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/fft.py to fft.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/fp16_help.py to fp16_help.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/kernel_codegen.py to kernel_codegen.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/linalg.py to linalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/multinomial.py to multinomial.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/neighbours.py to neighbours.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/nerv.py to nerv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/nnet.py to nnet.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/opt.py to opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/opt_util.py to opt_util.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/pool.py to pool.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/reduction.py to reduction.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/rng_mrg.py to rng_mrg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/sort.py to sort.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/subtensor.py to subtensor.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gpuarray/type.py to type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests/test_may_share_memory.py to test_may_share_memory.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/tests/test_pkl_utils.py to test_pkl_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/buildbot_filter.py to buildbot_filter.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/burn_gpu.py to burn_gpu.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/check_blas.py to check_blas.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/check_duplicate_key.py to check_duplicate_key.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/check_multi_gpu.py to check_multi_gpu.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/cpucount.py to cpucount.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/doubleop.py to doubleop.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/elemwise_openmp_speedup.py to elemwise_openmp_speedup.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/elemwise_time_test.py to elemwise_time_test.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/frozendict.py to frozendict.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/gh_api.py to gh_api.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/latence_gpu_transfert.py to latence_gpu_transfert.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/may_share_memory.py to may_share_memory.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/ordered_set.py to ordered_set.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/pkl_utils.py to pkl_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/safe_asarray.py to safe_asarray.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/strutil.py to strutil.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/misc/windows.py to windows.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/tests/test_linalg.py to test_linalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/linalg/ops.py to ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests/test_multinomial.py to test_multinomial.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests/test_multinomial_wo_replacement.py to test_multinomial_wo_replacement.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/tests/test_rng_mrg.py to test_rng_mrg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/blocksparse.py to blocksparse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/conv.py to conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/fourier.py to fourier.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/minimal.py to minimal.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/multinomial.py to multinomial.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/neighbours.py to neighbours.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/rng_mrg.py to rng_mrg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/softsign.py to softsign.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sandbox/solve.py to solve.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests/test_basic.py to test_basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests/test_basic_sympy.py to test_basic_sympy.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests/test_div_future.py to test_div_future.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/tests/test_div_no_future.py to test_div_no_future.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/basic.py to basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/basic_scipy.py to basic_scipy.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/basic_sympy.py to basic_sympy.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scalar/sharedvar.py to sharedvar.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests/test_scan.py to test_scan.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests/test_scan_checkpoints.py to test_scan_checkpoints.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests/test_scan_opt.py to test_scan_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/tests/test_scan_utils.py to test_scan_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan.py to scan.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan_checkpoints.py to scan_checkpoints.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan_op.py to scan_op.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan_opt.py to scan_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan_perform_ext.py to scan_perform_ext.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan_utils.py to scan_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/scan_module/scan_views.py to scan_views.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox/sp.py to sp.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox/sp2.py to sp2.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox/test_sp.py to test_sp.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sandbox/truedot.py to truedot.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests/test_opt.py to test_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests/test_sp2.py to test_sp2.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests/test_type.py to test_type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests/test_utils.py to test_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/tests/test_basic.py to test_basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/basic.py to basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/opt.py to opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/sharedvar.py to sharedvar.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/type.py to type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/sparse/utils.py to utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/speed_test_conv.py to speed_test_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_abstract_conv.py to test_abstract_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_blocksparse.py to test_blocksparse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_bn.py to test_bn.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_conv.py to test_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_conv3d2d.py to test_conv3d2d.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_corr.py to test_corr.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_corr3d.py to test_corr3d.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_ctc.py to test_ctc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_neighbours.py to test_neighbours.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_nnet.py to test_nnet.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_opt.py to test_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/tests/test_sigm.py to test_sigm.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/abstract_conv.py to abstract_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/blocksparse.py to blocksparse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/bn.py to bn.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/conv.py to conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/conv3d2d.py to conv3d2d.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/corr.py to corr.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/corr3d.py to corr3d.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/ctc.py to ctc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/neighbours.py to neighbours.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/nnet.py to nnet.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/opt.py to opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nnet/sigm.py to sigm.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests/test_conv.py to test_conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/tests/test_pool.py to test_pool.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/conv.py to conv.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/signal/pool.py to pool.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/_test_mpi_roundtrip.py to _test_mpi_roundtrip.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/mlp_test.py to mlp_test.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_basic.py to test_basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_blas.py to test_blas.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_blas_c.py to test_blas_c.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_blas_scipy.py to test_blas_scipy.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_casting.py to test_casting.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_complex.py to test_complex.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_elemwise.py to test_elemwise.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_extra_ops.py to test_extra_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_fft.py to test_fft.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_fourier.py to test_fourier.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_gc.py to test_gc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_inc_subtensor.py to test_inc_subtensor.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_io.py to test_io.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_keepdims.py to test_keepdims.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_merge.py to test_merge.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_misc.py to test_misc.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_mpi.py to test_mpi.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_nlinalg.py to test_nlinalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_opt.py to test_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_opt_uncanonicalize.py to test_opt_uncanonicalize.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_raw_random.py to test_raw_random.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_shared_randomstreams.py to test_shared_randomstreams.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_sharedvar.py to test_sharedvar.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_slinalg.py to test_slinalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_sort.py to test_sort.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_subtensor.py to test_subtensor.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_type_other.py to test_type_other.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_utils.py to test_utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_var.py to test_var.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/tests/test_xlogx.py to test_xlogx.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/basic.py to basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/blas.py to blas.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/blas_c.py to blas_c.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/blas_headers.py to blas_headers.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/blas_scipy.py to blas_scipy.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/elemwise.py to elemwise.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/elemwise_cgen.py to elemwise_cgen.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/extra_ops.py to extra_ops.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/fft.py to fft.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/fourier.py to fourier.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/inc_code.py to inc_code.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/inplace.py to inplace.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/io.py to io.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/nlinalg.py to nlinalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/opt.py to opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/opt_uncanonicalize.py to opt_uncanonicalize.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/raw_random.py to raw_random.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/shared_randomstreams.py to shared_randomstreams.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/sharedvar.py to sharedvar.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/slinalg.py to slinalg.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/sort.py to sort.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/subtensor.py to subtensor.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/type.py to type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/type_other.py to type_other.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/utils.py to utils.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/var.py to var.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tensor/xlogx.py to xlogx.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/breakpoint.py to breakpoint.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/disturb_mem.py to disturb_mem.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/diverse_tests.py to diverse_tests.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/main.py to main.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/record.py to record.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_2nd_order_grads.py to test_2nd_order_grads.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_breakpoint.py to test_breakpoint.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_config.py to test_config.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_determinism.py to test_determinism.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_dictionary_output.py to test_dictionary_output.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_flake8.py to test_flake8.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_gradient.py to test_gradient.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_ifelse.py to test_ifelse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_pickle_unpickle_theano_fn.py to test_pickle_unpickle_theano_fn.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_printing.py to test_printing.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_record.py to test_record.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_rop.py to test_rop.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/test_updates.py to test_updates.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/unittest_tools.py to unittest_tools.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/tests/run_tests_in_batch.py to run_tests_in_batch.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests/test_basic.py to test_basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests/test_opt.py to test_opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/tests/test_type.py to test_type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/basic.py to basic.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/opt.py to opt.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/typed_list/type.py to type.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/__init__.py to __init__.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/configparser.py to configparser.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/gradient.py to gradient.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/ifelse.py to ifelse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/pathparse.py to pathparse.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/printing.py to printing.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/raise_op.py to raise_op.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/updates.py to updates.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/version.py to version.cpython-37.pyc byte-compiling /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/theano/configdefaults.py to configdefaults.cpython-37.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 /build/theano-1.0.3+dfsg/debian/python3-theano/usr/lib/python3.7/dist-packages/Theano-1.0.3.egg-info Skipping SOURCES.txt running install_scripts Installing theano-cache script to /build/theano-1.0.3+dfsg/debian/python3-theano/usr/share/python3-theano Installing theano-nose script to /build/theano-1.0.3+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/python3.7/dist-packages/theano/misc/check_blas_many.sh' make[1]: Leaving directory '/build/theano-1.0.3+dfsg' debian/rules override_dh_installdocs make[1]: Entering directory '/build/theano-1.0.3+dfsg' dh_installdocs -A README.html NEWS.gz dh_installdocs: Cannot auto-detect main package for theano-doc. If the default is wrong, please use --doc-main-package rdfind -outputname /dev/null -makesymlinks true debian/theano-doc Now scanning "debian/theano-doc", found 918 files. Now have 918 files in total. Removed 0 files due to nonunique device and inode. Total size is 43373080 bytes or 41 MiB Removed 767 files due to unique sizes from list.151 files left. Now eliminating candidates based on first bytes:removed 94 files from list.57 files left. Now eliminating candidates based on last bytes:removed 2 files from list.55 files left. Now eliminating candidates based on sha1 checksum:removed 0 files from list.55 files left. It seems like you have 55 files that are not unique Totally, 2 MiB can be reduced. Now making results file /dev/null Now making symbolic links. creating Making 31 links. symlinks -r -s -c debian/theano-doc absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/blocksparse.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/blocksparse.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/blocksparse.png -> ../_images/blocksparse.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/index_24_0.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.png -> ../_images/index_24_0.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/talk2010.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/talk2010.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/talk2010.png -> ../_images/talk2010.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train2.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train2.png -> logreg_pydotprint_train.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_train1.png -> logreg_pydotprint_train.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/same_padding_no_strides_transposed.gif -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/same_padding_no_strides.gif changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/same_padding_no_strides_transposed.gif -> same_padding_no_strides.gif absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction2.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction2.png -> logreg_pydotprint_prediction.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_prediction1.png -> logreg_pydotprint_prediction.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict2.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict2.png -> logreg_pydotprint_predict.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/logreg_pydotprint_predict1.png -> logreg_pydotprint_predict.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized1.png -> f_unoptimized.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_unopt.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_unoptimized.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_unopt.png -> f_unoptimized.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/pipeline1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/pipeline.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/pipeline1.png -> pipeline.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/plot_fft1.png -> plot_fft.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_opt.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_optimized.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/symbolic_graph_opt.png -> f_optimized.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_optimized1.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_optimized.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/f_optimized1.png -> f_optimized.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/b1eee4055960efed015bee32bb3353501988dadd.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/7f821cb4e518973a7cc635c581a978ac0ff32d08.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/b1eee4055960efed015bee32bb3353501988dadd.png -> 7f821cb4e518973a7cc635c581a978ac0ff32d08.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/e1bd69b5b1ff71f384c7b9ad4e0eb52dbe5ac3e4.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/beaf200e33db0cf7705ffde8d77b45b26dfaf77d.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/e1bd69b5b1ff71f384c7b9ad4e0eb52dbe5ac3e4.png -> beaf200e33db0cf7705ffde8d77b45b26dfaf77d.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c6a96822285e9e6c7965f11c1daf0cec60b8241a.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/847ecf3d6cb1b04fc5a53f1379b5f021856e68a2.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c6a96822285e9e6c7965f11c1daf0cec60b8241a.png -> 847ecf3d6cb1b04fc5a53f1379b5f021856e68a2.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c9a4d8deaddd3c616581eb68c4871ec23f47592d.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/208c8430488b9e2bfc3ba787f901f8642f639e37.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/c9a4d8deaddd3c616581eb68c4871ec23f47592d.png -> 208c8430488b9e2bfc3ba787f901f8642f639e37.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/a58f2891dcb93426a790e8f19f074a84b5720420.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/5d66fe092b64fafa2696d5ac0966258d6bdf945a.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/a58f2891dcb93426a790e8f19f074a84b5720420.png -> 5d66fe092b64fafa2696d5ac0966258d6bdf945a.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/691e1cd21981c615095aa5dd73a2c2cbf5986a27.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/30a869f1d7e13dffb15d0f5911d615d296afd13c.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/691e1cd21981c615095aa5dd73a2c2cbf5986a27.png -> 30a869f1d7e13dffb15d0f5911d615d296afd13c.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/12a27228ae57474e1dd68ebc61bf503e1dd76b4a.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/0e3cf12169ff2cdd968cb79fd59bc3534144094d.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/12a27228ae57474e1dd68ebc61bf503e1dd76b4a.png -> 0e3cf12169ff2cdd968cb79fd59bc3534144094d.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ac55bb979bf0ee032d0a79622e6eaa608d69065f.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/94a91ddb4ee3a6cc66626e96c597d0464a2194b2.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ac55bb979bf0ee032d0a79622e6eaa608d69065f.png -> 94a91ddb4ee3a6cc66626e96c597d0464a2194b2.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ca3f22cba9aa1e06f3a9d00bc2fa775ef89c7f6e.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/417b7d31bc1bd178d17e4b60cec85ff642a9a772.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ca3f22cba9aa1e06f3a9d00bc2fa775ef89c7f6e.png -> 417b7d31bc1bd178d17e4b60cec85ff642a9a772.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ce04f93b85e09f2a8ea9de6cd346f4cfc136e134.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/9763628b84afb5b770c55024f07e3a2f829242a7.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/ce04f93b85e09f2a8ea9de6cd346f4cfc136e134.png -> 9763628b84afb5b770c55024f07e3a2f829242a7.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/652904ef6e5a039f75c8c667f4b212e63c47c22f.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/15b93cf179e7ccd3bfeca963b146c5d18da052dc.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/652904ef6e5a039f75c8c667f4b212e63c47c22f.png -> 15b93cf179e7ccd3bfeca963b146c5d18da052dc.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/efc011e66a5c75b8d160a5ce5ba2276e7ae97cb9.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/15b93cf179e7ccd3bfeca963b146c5d18da052dc.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/efc011e66a5c75b8d160a5ce5ba2276e7ae97cb9.png -> 15b93cf179e7ccd3bfeca963b146c5d18da052dc.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/14e414a0fdf730fd9b230af02e97fad04ef17b2a.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/0ab09f28d35db8a011a80d1141b42b501735b914.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/math/14e414a0fdf730fd9b230af02e97fad04ef17b2a.png -> 0ab09f28d35db8a011a80d1141b42b501735b914.png absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/d731106ccd5d2d549e00155af6332dce/mlp2.pdf -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_static/mlp2.pdf changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/d731106ccd5d2d549e00155af6332dce/mlp2.pdf -> ../../_static/mlp2.pdf absolute: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/d45e4b9da15df1b67c07f3194c46185b/mlp2.png -> /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_images/index_24_0.png changed: /build/theano-1.0.3+dfsg/debian/theano-doc/usr/share/doc/theano-doc/html/_downloads/d45e4b9da15df1b67c07f3194c46185b/mlp2.png -> ../../_images/index_24_0.png make[1]: Leaving directory '/build/theano-1.0.3+dfsg' debian/rules override_dh_sphinxdoc make[1]: Entering directory '/build/theano-1.0.3+dfsg' dh_sphinxdoc dh_sphinxdoc: ignoring unknown JavaScript code: debian/theano-doc/usr/share/doc/theano-doc/html/_static/js/modernizr.min.js dh_sphinxdoc: ignoring unknown JavaScript code: debian/theano-doc/usr/share/doc/theano-doc/html/_static/version_switch.js 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 '/build/theano-1.0.3+dfsg' debian/rules override_dh_installchangelogs make[1]: Entering directory '/build/theano-1.0.3+dfsg' #the -X is meant as "don't try to install upstream changelog, only Debian's" - #906827 dh_installchangelogs -Xtxt make[1]: Leaving directory '/build/theano-1.0.3+dfsg' dh_python2 -O--buildsystem=pybuild I: dh_python2 tools:114: replacing shebang in debian/python-theano/usr/share/python-theano/theano-cache I: dh_python2 tools:114: replacing shebang in debian/python-theano/usr/share/python-theano/theano-nose dh_python3 -O--buildsystem=pybuild dh_installinit -O--buildsystem=pybuild dh_perl -O--buildsystem=pybuild dh_link -O--buildsystem=pybuild dh_strip_nondeterminism -O--buildsystem=pybuild debian/rules override_dh_compress make[1]: Entering directory '/build/theano-1.0.3+dfsg' dh_compress -X.py -X.ipynb -X.pdf # save theano-doc/html/_downloads make[1]: Leaving directory '/build/theano-1.0.3+dfsg' dh_fixperms -O--buildsystem=pybuild dh_missing -O--buildsystem=pybuild dh_strip -O--buildsystem=pybuild dh_makeshlibs -O--buildsystem=pybuild dh_shlibdeps -O--buildsystem=pybuild dh_installdeb -O--buildsystem=pybuild debian/rules override_dh_gencontrol make[1]: Entering directory '/build/theano-1.0.3+dfsg' dh_gencontrol -- -VjavascriptBU="node-lodash-compat (= 3.10.2-1), d3 (= 3.5.17-2), " dpkg-gencontrol: warning: package theano-doc: substitution variable ${sphinxdoc:Built-Using} unused, but is defined dpkg-gencontrol: warning: package python-theano: substitution variable ${python:Provides} unused, but is defined dpkg-gencontrol: warning: package python-theano: substitution variable ${python:Versions} unused, but is defined make[1]: Leaving directory '/build/theano-1.0.3+dfsg' dh_md5sums -O--buildsystem=pybuild dh_builddeb -O--buildsystem=pybuild dpkg-deb: building package 'python3-theano' in '../python3-theano_1.0.3+dfsg-1_arm64.deb'. dpkg-deb: building package 'python-theano' in '../python-theano_1.0.3+dfsg-1_arm64.deb'. dpkg-deb: building package 'theano-doc' in '../theano-doc_1.0.3+dfsg-1_all.deb'. dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary >../theano_1.0.3+dfsg-1_arm64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-source: info: using options from theano-1.0.3+dfsg/debian/source/options: --extend-diff-ignore=theano/generated_version.py|^[^/]+\.egg-info/ dpkg-buildpackage: info: binary-only upload (no source included) I: copying local configuration I: user script /srv/workspace/pbuilder/27501/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/27501/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/27501 and its subdirectories I: Current time: Thu Sep 16 20:41:16 +14 2021 I: pbuilder-time-stamp: 1631774476